Francisco Herrera

Affiliations:
  • University of Granada, Department of Computer Science and Artificial Intelligence


According to our database1, Francisco Herrera authored at least 848 papers between 1994 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance.
Inf. Fusion, March, 2024

On generating trustworthy counterfactual explanations.
Inf. Sci., January, 2024

2023
Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series.
Inf. Fusion, December, 2023

Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation.
Inf. Fusion, November, 2023

Generalizing max pooling via (a,b)-grouping functions for Convolutional Neural Networks.
Inf. Fusion, November, 2023

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence.
Inf. Fusion, November, 2023

Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness.
Appl. Soft Comput., November, 2023

Design and consensus content validity of the questionnaire for b-learning education: A 2-Tuple Fuzzy Linguistic Delphi based Decision Support Tool.
Appl. Soft Comput., November, 2023

Consensus Convergence Speed in Social Network DeGroot Model: The Effects of the Agents With High Self-Confidence Levels.
IEEE Trans. Comput. Soc. Syst., October, 2023

Explainable Crowd Decision Making methodology guided by expert natural language opinions based on Sentiment Analysis with Attention-based Deep Learning and Subgroup Discovery.
Inf. Fusion, September, 2023

Corrigendum to "An improved multiplicative acceptability consistency-driven group decision making with triangular fuzzy reciprocal preference relations" [Comput. Ind. Eng. 176 (2023) 108981].
Comput. Ind. Eng., September, 2023

Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study.
Neurocomputing, August, 2023

A Trust Risk Dynamic Management Mechanism Based on Third-Party Monitoring for the Conflict-Eliminating Process of Social Network Group Decision Making.
IEEE Trans. Cybern., June, 2023

Regret Theory-Based Three-Way Decision Method on Incomplete Multiscale Decision Information Systems With Interval Fuzzy Numbers.
IEEE Trans. Fuzzy Syst., March, 2023

An improved multiplicative acceptability consistency-driven group decision making with triangular fuzzy reciprocal preference relations.
Comput. Ind. Eng., February, 2023

EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks.
Neural Networks, January, 2023

Crowd Decision Making: Sparse Representation Guided by Sentiment Analysis for Leveraging the Wisdom of the Crowd.
IEEE Trans. Syst. Man Cybern. Syst., 2023

Mixed Opinion Dynamics Based on DeGroot Model and Hegselmann-Krause Model in Social Networks.
IEEE Trans. Syst. Man Cybern. Syst., 2023

Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization.
IEEE Trans. Cybern., 2023

Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges.
Inf. Fusion, 2023

TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning.
Neurocomputing, 2023

REVEL Framework to Measure Local Linear Explanations for Black-Box Models: Deep Learning Image Classification Case Study.
Int. J. Intell. Syst., 2023

Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning.
CoRR, 2023

Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions.
CoRR, 2023

General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications.
CoRR, 2023

Low-Impact Feature Reduction Regularization Term: How to Improve Artificial Intelligence with Explainability.
Proceedings of the Joint Proceedings of the xAI-2023 Late-breaking Work, 2023

Optimizing LIME Explanations Using REVEL Metrics.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses.
Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

Toward Responsible Artificial Intelligence Systems: Safety and Trustworthiness.
Proceedings of the Engineering of Computer-Based Systems - 8th International Conference, 2023

2022
A New Clustering Algorithm With Preference Adjustment Cost to Reduce the Cooperation Complexity in Large-Scale Group Decision Making.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Integrating Continual Personalized Individual Semantics Learning in Consensus Reaching in Linguistic Group Decision Making.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Trust-Consensus Multiplex Networks by Combining Trust Social Network Analysis and Consensus Evolution Methods in Group Decision-Making.
IEEE Trans. Fuzzy Syst., 2022

Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning.
IEEE Trans. Evol. Comput., 2022

FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification.
Pattern Recognit., 2022

Reducing Data Complexity Using Autoencoders With Class-Informed Loss Functions.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions.
Neural Networks, 2022

A framework for adapting online prediction algorithms to outlier detection over time series.
Knowl. Based Syst., 2022

Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification.
Knowl. Based Syst., 2022

Explanation sets: A general framework for machine learning explainability.
Inf. Sci., 2022

EXplainable Neural-Symbolic Learning (<i>X-NeSyL</i>) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case.
Inf. Fusion, 2022

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions.
Inf. Fusion, 2022

A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges.
Inf. Fusion, 2022

Democratic consensus reaching process for multi-person multi-criteria large scale decision making considering participants' individual attributes and concerns.
Inf. Fusion, 2022

Human pose estimation for mitigating false negatives in weapon detection in video-surveillance.
Neurocomputing, 2022

Dynamic defense against byzantine poisoning attacks in federated learning.
Future Gener. Comput. Syst., 2022

Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials.
Eng. Appl. Artif. Intell., 2022

A Practical Tutorial for Decision Tree Induction: Evaluation Measures for Candidate Splits and Opportunities.
ACM Comput. Surv., 2022

Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation.
CoRR, 2022

TSFEDL: A Python Library for Time Series Spatio-Temporal Feature Extraction and Prediction using Deep Learning (with Appendices on Detailed Network Architectures and Experimental Cases of Study).
CoRR, 2022

Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization.
CoRR, 2022

Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns.
Cogn. Comput., 2022

Managing minority opinions in large-scale group decision making based on community detection and group polarization.
Comput. Ind. Eng., 2022

A least square support vector machine approach based on bvRNA-GA for modeling photovoltaic systems.
Appl. Soft Comput., 2022

A Preliminary Approach for using Metric Learning in Monotonic Classification.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence, 2022

2021
Revisiting Fuzzy and Linguistic Decision Making: Scenarios and Challenges for Making Wiser Decisions in a Better Way.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Consensus Reaching and Strategic Manipulation in Group Decision Making With Trust Relationships.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Balance Dynamic Clustering Analysis and Consensus Reaching Process With Consensus Evolution Networks in Large-Scale Group Decision Making.
IEEE Trans. Fuzzy Syst., 2021

Linguistic Opinions Dynamics Based on Personalized Individual Semantics.
IEEE Trans. Fuzzy Syst., 2021

Numerical Interval Opinion Dynamics in Social Networks: Stable State and Consensus.
IEEE Trans. Fuzzy Syst., 2021

Consensus Model Handling Minority Opinions and Noncooperative Behaviors in Large-Scale Group Decision-Making Under Double Hierarchy Linguistic Preference Relations.
IEEE Trans. Cybern., 2021

A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems.
Swarm Evol. Comput., 2021

A prescription of methodological guidelines for comparing bio-inspired optimization algorithms.
Swarm Evol. Comput., 2021

CI-Dataset and DetDSCI Methodology for Detecting Too Small and Too Large Critical Infrastructures in Satellite Images: Airports and Electrical Substations as Case Study.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

SOUL: Scala Oversampling and Undersampling Library for imbalance classification.
SoftwareX, 2021

Ordinal regression with explainable distance metric learning based on ordered sequences.
Mach. Learn., 2021

ADOPS: Aspect Discovery OPinion Summarisation Methodology based on deep learning and subgroup discovery for generating explainable opinion summaries.
Knowl. Based Syst., 2021

Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect.
Knowl. Inf. Syst., 2021

Dynamic subgroup-quality-based consensus in managing consistency, nearness, and evenness quality indices for large-scale group decision making under hesitant environment.
J. Oper. Res. Soc., 2021

Probabilistic double hierarchy linguistic term set and its use in designing an improved VIKOR method: The application in smart healthcare.
J. Oper. Res. Soc., 2021

A consensus process based on regret theory with probabilistic linguistic term sets and its application in venture capital.
Inf. Sci., 2021

AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking.
Inf. Sci., 2021

Multiple instance classification: Bag noise filtering for negative instance noise cleaning.
Inf. Sci., 2021

BELIEF: A distance-based redundancy-proof feature selection method for Big Data.
Inf. Sci., 2021

LUNAR: Cellular automata for drifting data streams.
Inf. Sci., 2021

Score function based on concentration degree for probabilistic linguistic term sets: An application to TOPSIS and VIKOR.
Inf. Sci., 2021

An efficient consensus reaching framework for large-scale social network group decision making and its application in urban resettlement.
Inf. Sci., 2021

Special Issue on Methods and Infrastructures for Data Mining at the Edge of Internet of Things.
IEEE Internet Things J., 2021

Sentiment Analysis based Multi-Person Multi-criteria Decision Making methodology using natural language processing and deep learning for smarter decision aid. Case study of restaurant choice using TripAdvisor reviews.
Inf. Fusion, 2021

Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence.
Inf. Fusion, 2021

Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges.
Inf. Fusion, 2021

Information fusion for affective computing and sentiment analysis.
Inf. Fusion, 2021

A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges.
Neurocomputing, 2021

MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification.
Neurocomputing, 2021

Fuzzy <i>k</i>-nearest neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise.
Neurocomputing, 2021

Learning interpretable multi-class models by means of hierarchical decomposition: Threshold Control for Nested Dichotomies.
Neurocomputing, 2021

Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms.
Neurocomputing, 2021

Measuring volatility based on ordered weighted average operators: The case of agricultural product prices.
Fuzzy Sets Syst., 2021

CURIE: a cellular automaton for concept drift detection.
Data Min. Knowl. Discov., 2021

A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training.
CoRR, 2021

Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms.
CoRR, 2021

Small and large scale critical infrastructures detection based on deep learning using high resolution orthogonal images.
CoRR, 2021

EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case.
CoRR, 2021

MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance.
CoRR, 2021

An interval type-2 fuzzy Kano-prospect-TOPSIS based QFD model: Application to Chinese e-commerce service design.
Appl. Soft Comput., 2021

A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects.
Appl. Intell., 2021

An Indexing Algorithm Based on Clustering of Minutia Cylinder Codes for Fast Latent Fingerprint Identification.
IEEE Access, 2021

More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Federated Fuzzy Learning with Imbalanced Data.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Distance Metric Learning with Prototype Selection for Imbalanced Classification.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

A Preliminary Analysis on Software Frameworks for the Development of Spiking Neural Networks.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study.
Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences: Extended Abstract.
Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

2020
COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images.
IEEE J. Biomed. Health Informatics, 2020

Editorial: Fuzzy Logic and Artificial Intelligence: A Special Issue on Emerging Techniques and Their Applications.
IEEE Trans. Fuzzy Syst., 2020

Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data.
IEEE Trans. Fuzzy Syst., 2020

Interval MULTIMOORA Method Integrating Interval Borda Rule and Interval Best-Worst-Method-Based Weighting Model: Case Study on Hybrid Vehicle Engine Selection.
IEEE Trans. Cybern., 2020

Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review.
Swarm Evol. Comput., 2020

Tweet Coupling: a social media methodology for clustering scientific publications.
Scientometrics, 2020

Tree Cover Estimation in Global Drylands from Space Using Deep Learning.
Remote. Sens., 2020

Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance.
Knowl. Based Syst., 2020

Incremental learning model inspired in Rehearsal for deep convolutional networks.
Knowl. Based Syst., 2020

Predicting literature's early impact with sentiment analysis in Twitter.
Knowl. Based Syst., 2020

pyDML: A Python Library for Distance Metric Learning.
J. Mach. Learn. Res., 2020

Irony detection in Twitter with imbalanced class distributions.
J. Intell. Fuzzy Syst., 2020

What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules.
J. Ambient Intell. Humaniz. Comput., 2020

A two-step communication opinion dynamics model with self-persistence and influence index for social networks based on the DeGroot model.
Inf. Sci., 2020

Hesitancy degree-based correlation measures for hesitant fuzzy linguistic term sets and their applications in multiple criteria decision making.
Inf. Sci., 2020

Linguistic group decision making: Axiomatic distance and minimum cost consensus.
Inf. Sci., 2020

Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification.
Inf. Sci., 2020

Preprocessing methodology for time series: An industrial world application case study.
Inf. Sci., 2020

An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges.
Inf. Fusion, 2020

MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal.
Inf. Fusion, 2020

Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects.
Inf. Fusion, 2020

A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities.
Inf. Fusion, 2020

Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective.
Inf. Fusion, 2020

Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy.
Inf. Fusion, 2020

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.
Inf. Fusion, 2020

otsad: A package for online time-series anomaly detectors.
Neurocomputing, 2020

Special Issue SOCO 2017: New trends in soft computing and its application in industrial and environmental problems.
Neurocomputing, 2020

Deep learning in video multi-object tracking: A survey.
Neurocomputing, 2020

An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges.
Neurocomputing, 2020

BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights.
Neurocomputing, 2020

The minimum cost consensus model considering the implicit trust of opinions similarities in social network group decision-making.
Int. J. Intell. Syst., 2020

Modeling agent-based consumers decision-making with 2-tuple fuzzy linguistic perceptions.
Int. J. Intell. Syst., 2020

Enhancing the classification of social media opinions by optimizing the structural information.
Future Gener. Comput. Syst., 2020

A novel methodology to classify test cases using natural language processing and imbalanced learning.
Eng. Appl. Artif. Intell., 2020

Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology: Using Natural Language Processing and Deep Learning for Decision Aid.
CoRR, 2020

Dynamic Federated Learning Model for Identifying Adversarial Clients.
CoRR, 2020

Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics.
CoRR, 2020

Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise.
CoRR, 2020

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations.
CoRR, 2020

A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error.
CoRR, 2020

Smart Data based Ensemble for Imbalanced Big Data Classification.
CoRR, 2020

Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations.
Cogn. Comput., 2020

Overview of Hesitant Linguistic Preference Relations for Representing Cognitive Complex Information: Where We Stand and What Is Next.
Cogn. Comput., 2020

Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems.
IEEE Access, 2020

Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data.
IEEE Access, 2020

HFER: Promoting Explainability in Fuzzy Systems via Hierarchical Fuzzy Exception Rules.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

2-tuple fuzzy linguistic perceptions and probabilistic awareness-based heuristics for modeling consumer purchase behaviors.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

Big Data Preprocessing - Enabling Smart Data
Springer, ISBN: 978-3-030-39104-1, 2020

2019
Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data.
WIREs Data Mining Knowl. Discov., 2019

Alternative Ranking-Based Clustering and Reliability Index-Based Consensus Reaching Process for Hesitant Fuzzy Large Scale Group Decision Making.
IEEE Trans. Fuzzy Syst., 2019

Consensus Building With Individual Consistency Control in Group Decision Making.
IEEE Trans. Fuzzy Syst., 2019

A Consensus Model for Large-Scale Linguistic Group Decision Making With a Feedback Recommendation Based on Clustered Personalized Individual Semantics and Opposing Consensus Groups.
IEEE Trans. Fuzzy Syst., 2019

Sparse Representation-Based Intuitionistic Fuzzy Clustering Approach to Find the Group Intra-Relations and Group Leaders for Large-Scale Decision Making.
IEEE Trans. Fuzzy Syst., 2019

A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity.
IEEE Trans. Fuzzy Syst., 2019

Generic Disjunctive Belief-Rule-Base Modeling, Inferencing, and Optimization.
IEEE Trans. Fuzzy Syst., 2019

Bio-inspired computation: Where we stand and what's next.
Swarm Evol. Comput., 2019

A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems.
Soft Comput., 2019

Detection of Fir Trees (<i>Abies sibirica</i>) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning.
Remote. Sens., 2019

OCAPIS: R package for Ordinal Classification and Preprocessing in Scala.
Prog. Artif. Intell., 2019

A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations.
Prog. Artif. Intell., 2019

Deep recurrent neural network for geographical entities disambiguation on social media data.
Knowl. Based Syst., 2019

Revisiting inconsistent judgments for incomplete fuzzy linguistic preference relations: Algorithms to identify and rectify ordinal inconsistencies.
Knowl. Based Syst., 2019

Ordinal consensus measure with objective threshold for heterogeneous large-scale group decision making.
Knowl. Based Syst., 2019

Defective alternatives detection-based multi-attribute intuitionistic fuzzy large-scale decision making model.
Knowl. Based Syst., 2019

Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks.
Knowl. Based Syst., 2019

Ruta: Implementations of neural autoencoders in R.
Knowl. Based Syst., 2019

Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise.
Knowl. Inf. Syst., 2019

Instance reduction for one-class classification.
Knowl. Inf. Syst., 2019

E<sup>2</sup>SAM: Evolutionary ensemble of sentiment analysis methods for domain adaptation.
Inf. Sci., 2019

Social network group decision making: Managing self-confidence-based consensus model with the dynamic importance degree of experts and trust-based feedback mechanism.
Inf. Sci., 2019

Group decision making with double hierarchy hesitant fuzzy linguistic preference relations: Consistency based measures, index and repairing algorithms and decision model.
Inf. Sci., 2019

Chain based sampling for monotonic imbalanced classification.
Inf. Sci., 2019

Enabling Smart Data: Noise filtering in Big Data classification.
Inf. Sci., 2019

Consensus reaching in social network DeGroot Model: The roles of the Self-confidence and node degree.
Inf. Sci., 2019

Consensus evolution networks: A consensus reaching tool for managing consensus thresholds in group decision making.
Inf. Fusion, 2019

A binocular image fusion approach for minimizing false positives in handgun detection with deep learning.
Inf. Fusion, 2019

Consensus model for large-scale group decision making based on fuzzy preference relation with self-confidence: Detecting and managing overconfidence behaviors.
Inf. Fusion, 2019

Score-HeDLiSF: A score function of hesitant fuzzy linguistic term set based on hesitant degrees and linguistic scale functions: An application to unbalanced hesitant fuzzy linguistic MULTIMOORA.
Inf. Fusion, 2019

An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and fusion: Taxonomy and future directions.
Inf. Fusion, 2019

An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges.
Inf. Fusion, 2019

Social network analysis-based conflict relationship investigation and conflict degree-based consensus reaching process for large scale decision making using sparse representation.
Inf. Fusion, 2019

Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods.
Neurocomputing, 2019

<i>Smartdata</i>: Data preprocessing to achieve smart data in R.
Neurocomputing, 2019

REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization.
Neurocomputing, 2019

Dealing with difficult minority labels in imbalanced mutilabel data sets.
Neurocomputing, 2019

Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning.
Neurocomputing, 2019

Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference - Editorial.
Neurocomputing, 2019

Analysis of self-confidence indices-based additive consistency for fuzzy preference relations with self-confidence and its application in group decision making.
Int. J. Intell. Syst., 2019

Virtual learning environment to predict withdrawal by leveraging deep learning.
Int. J. Intell. Syst., 2019

From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification.
Int. J. Intell. Syst., 2019

A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search.
Int. J. Comput. Intell. Syst., 2019

Visualizing and rectifying different inconsistencies for fuzzy reciprocal preference relations.
Fuzzy Sets Syst., 2019

Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation.
Expert Syst. Appl., 2019

Large-scale group decision making model based on social network analysis: Trust relationship-based conflict detection and elimination.
Eur. J. Oper. Res., 2019

Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0.
Eng. Appl. Artif. Intell., 2019

Guest Editorial: Computational Intelligence for Big Data Analytics.
Cogn. Comput., 2019

Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to?
IEEE Comput. Intell. Mag., 2019

A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation.
IEEE Access, 2019

Hesitant Fuzzy Linguistic Analytic Hierarchical Process With Prioritization, Consistency Checking, and Inconsistency Repairing.
IEEE Access, 2019

An Analysis of Local and Global Solutions to Address Big Data Imbalanced Classification: A Case Study with SMOTE Preprocessing.
Proceedings of the 7th Conference on Cloud Computing & Big Data, 2019

A Showcase of the Use of Autoencoders in Feature Learning Applications.
Proceedings of the From Bioinspired Systems and Biomedical Applications to Machine Learning, 2019

A First Approach on Big Data Missing Values Imputation.
Proceedings of the 4th International Conference on Internet of Things, 2019

Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries.
Proceedings of the 4th International Conference on Internet of Things, 2019

Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms.
Proceedings of the 2019 Federated Conference on Computer Science and Information Systems, 2019

Quality Data Processing for Deep Learning.
Proceedings of the 4th International Conference on Complexity, 2019

Applying Memetic algorithm with Improved L-SHADE and Local Search Pool for the 100-digit challenge on Single Objective Numerical Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark.
IEEE Trans. Syst. Man Cybern. Syst., 2018

Probabilistic Linguistic MULTIMOORA: A Multicriteria Decision Making Method Based on the Probabilistic Linguistic Expectation Function and the Improved Borda Rule.
IEEE Trans. Fuzzy Syst., 2018

A New Hesitant Fuzzy Linguistic ORESTE Method for Hybrid Multicriteria Decision Making.
IEEE Trans. Fuzzy Syst., 2018

Intuitionistic Fuzzy Analytic Network Process.
IEEE Trans. Fuzzy Syst., 2018

A Forecasting Methodology for Workload Forecasting in Cloud Systems.
IEEE Trans. Cloud Comput., 2018

A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark.
Swarm Evol. Comput., 2018

Dynamic ensemble selection for multi-class classification with one-class classifiers.
Pattern Recognit., 2018

Exploring Consistency for Hesitant Preference Relations in Decision Making: Discussing Concepts, Meaning and Taxonomy.
J. Multiple Valued Log. Soft Comput., 2018

MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems.
Knowl. Based Syst., 2018

CNC-NOS: Class noise cleaning by ensemble filtering and noise scoring.
Knowl. Based Syst., 2018

A continuous interval-valued linguistic ORESTE method for multi-criteria group decision making.
Knowl. Based Syst., 2018

Personalized individual semantics based on consistency in hesitant linguistic group decision making with comparative linguistic expressions.
Knowl. Based Syst., 2018

Consensus reaching process for large-scale group decision making with double hierarchy hesitant fuzzy linguistic preference relations.
Knowl. Based Syst., 2018

Principal Components Analysis Random Discretization Ensemble for Big Data.
Knowl. Based Syst., 2018

Imbalance: Oversampling algorithms for imbalanced classification in R.
Knowl. Based Syst., 2018

A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy.
Knowl. Based Syst., 2018

A multi-objective evolutionary approach to training set selection for support vector machine.
Knowl. Based Syst., 2018

Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach.
Knowl. Inf. Syst., 2018

SMOTE-BD: An Exact and Scalable Oversampling Method for Imbalanced Classification in Big Data.
J. Comput. Sci. Technol., 2018

SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary.
J. Artif. Intell. Res., 2018

Multi-label classification using a fuzzy rough neighborhood consensus.
Inf. Sci., 2018

Consistency of hesitant fuzzy linguistic preference relations: An interval consistency index.
Inf. Sci., 2018

Dynamic ensemble selection for multi-class imbalanced datasets.
Inf. Sci., 2018

Consensus vote models for detecting and filtering neutrality in sentiment analysis.
Inf. Fusion, 2018

Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce.
Inf. Fusion, 2018

Distinguishing between facts and opinions for sentiment analysis: Survey and challenges.
Inf. Fusion, 2018

A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines.
Inf. Fusion, 2018

Computing with Words: Revisiting the Qualitative Scale.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2018

DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets.
Neurocomputing, 2018

Automatic handgun detection alarm in videos using deep learning.
Neurocomputing, 2018

Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository.
Neurocomputing, 2018

On the use of convolutional neural networks for robust classification of multiple fingerprint captures.
Int. J. Intell. Syst., 2018

Editorial Message: Special Issue on Hesitant Fuzzy Linguistic Decision Making: Algorithms, Theory and Applications.
Int. J. Fuzzy Syst., 2018

Hesitant Fuzzy Linguistic Term Set and Its Application in Decision Making: A State-of-the-Art Survey.
Int. J. Fuzzy Syst., 2018

Mining association rules on Big Data through MapReduce genetic programming.
Integr. Comput. Aided Eng., 2018

On a new methodology for ranking fuzzy numbers and its application to real economic data.
Fuzzy Sets Syst., 2018

Online entropy-based discretization for data streaming classification.
Future Gener. Comput. Syst., 2018

A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Software.
CoRR, 2018

A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods.
CoRR, 2018

DPASF: A Flink Library for Streaming Data preprocessing.
CoRR, 2018

BELIEF: A distance-based redundancy-proof feature selection method for Big Data.
CoRR, 2018

Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization.
CoRR, 2018

An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions.
Cogn. Comput., 2018

MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines.
IEEE Comput. Intell. Mag., 2018

Multiple criteria decision making based on distance and similarity measures under double hierarchy hesitant fuzzy linguistic environment.
Comput. Ind. Eng., 2018

Surveying alignment-free features for Ortholog detection in related yeast proteomes by using supervised big data classifiers.
BMC Bioinform., 2018

Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust.
Appl. Soft Comput., 2018

Underground Mining Method Selection With the Hesitant Fuzzy Linguistic Gained and Lost Dominance Score Method.
IEEE Access, 2018

Cognitive Computing: Architecture, Technologies and Intelligent Applications.
IEEE Access, 2018

SCI<sup>2</sup>S at TASS 2018: Emotion Classification with Recurrent Neural Networks.
Proceedings of TASS 2018: Workshop on Semantic Analysis at SEPLN, 2018

A First Study on the Use of Noise Filtering to Clean the Bags in Multi-Instance Classification.
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018

A first study exploring the performance of the state-of-the art CNN model in the problem of breast cancer.
Proceedings of the International Conference on Learning and Optimization Algorithms: Theory and Applications, 2018

The Use of Fuzzy Linguistic Information and Fuzzy Delphi Method to Validate by Consensus a Questionnaire in a Blended-Learning Environment.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

DNBMA: A Double Normalization-Based Multi-Aggregation Method.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2018

Framework for the Training of Deep Neural Networks in TensorFlow Using Metaheuristics.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018

On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data.
Proceedings of the Hybrid Artificial Intelligent Systems - 13th International Conference, 2018

Cooperative multi-objective evolutionary support vector machines for multiclass problems.
Proceedings of the Genetic and Evolutionary Computation Conference, 2018

A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

SHADE with Iterative Local Search for Large-Scale Global Optimization.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

A First Step to Accelerating Fingerprint Matching Based on Deformable Minutiae Clustering.
Proceedings of the Advances in Artificial Intelligence, 2018

Learning from Imbalanced Data Sets
Springer, ISBN: 978-3-319-98073-7, 2018

2017
Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Guest Editorial Special Section on Fuzzy Systems in Data Science.
IEEE Trans. Fuzzy Syst., 2017

An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles.
IEEE Trans. Evol. Comput., 2017

Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis's weakness.
Soft Comput., 2017

The NoiseFiltersR Package: Label Noise Preprocessing in R.
R J., 2017

Deep-learning <i>Versus</i> OBIA for Scattered Shrub Detection with Google Earth Imagery: <i>Ziziphus lotus</i> as Case Study.
Remote. Sens., 2017

Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets.
Pattern Recognit., 2017

SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification.
Prog. Artif. Intell., 2017

Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme.
Knowl. Based Syst., 2017

Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection.
Knowl. Based Syst., 2017

kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data.
Knowl. Based Syst., 2017

Volume, variety and velocity in Data Science.
Knowl. Based Syst., 2017

Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks.
Inf. Sci., 2017

A linear programming method for multiple criteria decision making with probabilistic linguistic information.
Inf. Sci., 2017

Managing consensus based on leadership in opinion dynamics.
Inf. Sci., 2017

Personalized individual semantics in computing with words for supporting linguistic group decision making. An application on consensus reaching.
Inf. Fusion, 2017

Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures.
Inf. Fusion, 2017

NMC: nearest matrix classification - A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem.
Inf. Fusion, 2017

A survey on data preprocessing for data stream mining: Current status and future directions.
Neurocomputing, 2017

A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets.
Int. J. Neural Syst., 2017

Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data.
Int. J. Intell. Syst., 2017

Guest Editorial: Recent Trends in Intelligent Systems.
Int. J. Intell. Syst., 2017

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining.
Int. J. Comput. Intell. Syst., 2017

A snapshot of image pre-processing for convolutional neural networks: case study of MNIST.
Int. J. Comput. Intell. Syst., 2017

Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications?
Int. J. Comput. Intell. Syst., 2017

Sentiment Analysis in TripAdvisor.
IEEE Intell. Syst., 2017

Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints.
CoRR, 2017

Genetic and Memetic Algorithm with Diversity Equilibrium based on Greedy Diversification.
CoRR, 2017

Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery.
CoRR, 2017

Conference Report on 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017) [Conference Reports].
IEEE Comput. Intell. Mag., 2017

The Importance of Context: Assessing the Benefits and Limitations of Participatory Mapping for Empowering Indigenous Communities in the Comarca Ngäbe-Buglé, Panama.
Cartogr. Int. J. Geogr. Inf. Geovisualization, 2017

Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers.
Appl. Soft Comput., 2017

Fuzzy rule based classification systems for big data with MapReduce: granularity analysis.
Adv. Data Anal. Classif., 2017

MapReduce distributed highly random fuzzy forest for noisy big data.
Proceedings of the 13th International Conference on Natural Computation, 2017

Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews?
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

A Review of Distributed Data Models for Learning.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

A Study on the Noise Label Influence in Boosting Algorithms: AdaBoost, GBM and XGBoost.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests.
Proceedings of the Hybrid Artificial Intelligent Systems - 12th International Conference, 2017

Neutrality in the sentiment analysis problem based on fuzzy majority.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A first approach towards a fuzzy decision tree for multilabel classification.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A decision making model to evaluate the reputation in social networks using HFLTS.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Exact fuzzy k-nearest neighbor classification for big datasets.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

A consistency-driven approach to set personalized numerical scales for hesitant fuzzy linguistic preference relations.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Chi-Spark-RS: An Spark-built evolutionary fuzzy rule selection algorithm in imbalanced classification for big data problems.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Big Data, Smart Data and Imbalanced Classification - Preprocessing, Models and Challenges.
Proceedings of the CLOSER 2017, 2017

A first attempt on global evolutionary undersampling for imbalanced big data.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Analysis among winners of different IEEE CEC competitions on real-parameters optimization: Is there always improvement?
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
A Review of Hesitant Fuzzy Sets: Quantitative and Qualitative Extensions.
Proceedings of the Fuzzy Logic in Its 50th Year, 2016

Data discretization: taxonomy and big data challenge.
WIREs Data Mining Knowl. Discov., 2016

Editorial: Trust Management for Multimedia Big Data.
ACM Trans. Multim. Comput. Commun. Appl., 2016

Fuzzy Multi-Instance Classifiers.
IEEE Trans. Fuzzy Syst., 2016

Comments on "Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Towards a Wide View on Their Relationship".
IEEE Trans. Fuzzy Syst., 2016

A Historical Account of Types of Fuzzy Sets and Their Relationships.
IEEE Trans. Fuzzy Syst., 2016

Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification.
IEEE Trans. Cybern., 2016

Fuzzy rough classifiers for class imbalanced multi-instance data.
Pattern Recognit., 2016

Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data.
Knowl. Based Syst., 2016

Deriving the priority weights from incomplete hesitant fuzzy preference relations in group decision making.
Knowl. Based Syst., 2016

Tutorial on practical tips of the most influential data preprocessing algorithms in data mining.
Knowl. Based Syst., 2016

A distance-based framework to deal with ordinal and additive inconsistencies for fuzzy reciprocal preference relations.
Inf. Sci., 2016

NICGAR: A Niching Genetic Algorithm to mine a diverse set of interesting quantitative association rules.
Inf. Sci., 2016

Region-based memetic algorithm with archive for multimodal optimisation.
Inf. Sci., 2016

GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs.
Inf. Sci., 2016

Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets.
Inf. Sci., 2016

Connecting the linguistic hierarchy and the numerical scale for the 2-tuple linguistic model and its use to deal with hesitant unbalanced linguistic information.
Inf. Sci., 2016

Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets.
Inf. Sci., 2016

INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control.
Inf. Fusion, 2016

A position and perspective analysis of hesitant fuzzy sets on information fusion in decision making. Towards high quality progress.
Inf. Fusion, 2016

DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases.
Inf. Fusion, 2016

Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure.
Neurocomputing, 2016

A View on Fuzzy Systems for Big Data: Progress and Opportunities.
Int. J. Comput. Intell. Syst., 2016

Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC).
Int. J. Approx. Reason., 2016

Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm.
Eng. Appl. Artif. Intell., 2016

An Information Theoretic Feature Selection Framework for Big Data under Apache Spark.
CoRR, 2016

Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis.
Appl. Soft Comput., 2016

Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy.
Appl. Soft Comput., 2016

From Big Data to Smart Data with the K-Nearest Neighbours Algorithm.
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016

Managing Monotonicity in Classification by a Pruned AdaBoost.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

R Ultimate Multilabel Dataset Repository.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

A First Study on the Use of Boosting for Class Noise Reparation.
Proceedings of the Hybrid Artificial Intelligent Systems - 11th International Conference, 2016

Fuzzy-Citation-KNN: A fuzzy nearest neighbor approach for multi-instance classification.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

An optimization-based approach to estimate the range of consistency in hesitant fuzzy linguistic preference relations.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

A First Approach in Evolutionary Fuzzy Systems based on the lateral tuning of the linguistic labels for Big Data classification.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Designing optimal harmonic filters in power systems using greedy adaptive Differential Evolution.
Proceedings of the 21st IEEE International Conference on Emerging Technologies and Factory Automation, 2016

Evolutionary undersampling for extremely imbalanced big data classification under apache spark.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

A coral reefs optimization algorithm with substrate layers and local search for large scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

Evolutionary Fuzzy Systems: A Case Study in Imbalanced Classification.
Proceedings of the Fuzzy Logic and Information Fusion, 2016

Multiple Instance Learning - Foundations and Algorithms
Springer, ISBN: 978-3-319-47759-6, 2016

Multilabel Classification - Problem Analysis, Metrics and Techniques
Springer, ISBN: 978-3-319-41111-8, 2016

2015
Data Preprocessing in Data Mining
Intelligent Systems Reference Library 72, Springer, ISBN: 978-3-319-10247-4, 2015

Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Toward a Wider View on Their Relationship.
IEEE Trans. Fuzzy Syst., 2015

A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications With Imbalanced Data.
IEEE Trans. Fuzzy Syst., 2015

IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification.
IEEE Trans. Fuzzy Syst., 2015

Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies.
IEEE Trans. Fuzzy Syst., 2015

SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification.
IEEE Trans. Cybern., 2015

On the usefulness of one-class classifier ensembles for decomposition of multi-class problems.
Pattern Recognit., 2015

DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems.
Pattern Recognit., 2015

Monotonic Random Forest with an Ensemble Pruning Mechanism based on the Degree of Monotonicity.
New Gener. Comput., 2015

ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem.
Knowl. Based Syst., 2015

Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems.
Knowl. Based Syst., 2015

A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal.
Knowl. Based Syst., 2015

A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models.
Knowl. Based Syst., 2015

Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges.
Knowl. Based Syst., 2015

MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation.
Knowl. Based Syst., 2015

A proposal for evolutionary fuzzy systems using feature weighting: Dealing with overlapping in imbalanced datasets.
Knowl. Based Syst., 2015

Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study.
Knowl. Inf. Syst., 2015

An automatic extraction method of the domains of competence for learning classifiers using data complexity measures.
Knowl. Inf. Syst., 2015

SMOTE-IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering.
Inf. Sci., 2015

A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation.
Inf. Sci., 2015

Fast fingerprint identification using GPUs.
Inf. Sci., 2015

An optimization-based approach to adjusting unbalanced linguistic preference relations to obtain a required consistency level.
Inf. Sci., 2015

Minimizing adjusted simple terms in the consensus reaching process with hesitant linguistic assessments in group decision making.
Inf. Sci., 2015

MRPR: A MapReduce solution for prototype reduction in big data classification.
Neurocomputing, 2015

Addressing imbalance in multilabel classification: Measures and random resampling algorithms.
Neurocomputing, 2015

A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends.
Int. J. Comput. Intell. Syst., 2015

A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules.
Int. J. Comput. Intell. Syst., 2015

Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data.
Fuzzy Sets Syst., 2015

On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems.
Expert Syst. Appl., 2015

A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets.
Appl. Soft Comput., 2015

Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Managing Monotonicity in Classification by a Pruned Random Forest.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2015, 2015

Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels.
Proceedings of the Hybrid Artificial Intelligent Systems - 10th International Conference, 2015

Improving the OVO performance in Fuzzy Rule-Based Classification Systems by the genetic learning of the granularity level.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

A linguistic 2-tuple multicriteria decision making model dealing with hesitant linguistic information.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

On the impact of Distance-based Relative Competence Weighting approach in One-vs-One classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

A tour on big data classification: Selected Computational Intelligence approaches.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

An Interval Valued K-Nearest Neighbors Classifier.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

QUINTA: A question tagging assistant to improve the answering ratio in electronic forums.
Proceedings of the IEEE EUROCON 2015, 2015

Classification of Binary Imbalanced Data Using A Bayesian Ensemble of Bayesian Neural Networks.
Proceedings of the Engineering Applications of Neural Networks, 2015

On the Combination of Pairwise and Granularity Learning for Improving Fuzzy Rule-Based Classification Systems: GL-FARCHD-OVO.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

New Ordering-Based Pruning Metrics for Ensembles of Classifiers in Imbalanced Datasets.
Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015, 2015

Evolutionary undersampling for imbalanced big data classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Iterative hybridization of DE with Local Search for the CEC'2015 special session on large scale global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

Computing with Words for Decision Making Versus Linguistic Decision Making: A Reflection on both Scenarios.
Proceedings of the Enric Trillas: A Passion for Fuzzy Sets, 2015

The 2-tuple Linguistic Model - Computing with Words in Decision Making
Springer, ISBN: 978-3-319-24714-4, 2015

2014
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks.
WIREs Data Mining Knowl. Discov., 2014

Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms.
WIREs Data Mining Knowl. Discov., 2014

LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification.
IEEE Trans. Neural Networks Learn. Syst., 2014

A High Performance Fingerprint Matching System for Large Databases Based on GPU.
IEEE Trans. Inf. Forensics Secur., 2014

A Consensus Model to Detect and Manage Noncooperative Behaviors in Large-Scale Group Decision Making.
IEEE Trans. Fuzzy Syst., 2014

A New Multiobjective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules.
IEEE Trans. Evol. Comput., 2014

An insight into the importance of national university rankings in an international context: the case of the I-UGR rankings of Spanish universities.
Scientometrics, 2014

Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers.
Pattern Recognit., 2014

Fast fingerprint identification for large databases.
Pattern Recognit., 2014

On the statistical analysis of the parameters' trend in a machine learning algorithm.
Prog. Artif. Intell., 2014

A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation.
Knowl. Based Syst., 2014

MENTOR: A graphical monitoring tool of preferences evolution in large-scale group decision making.
Knowl. Based Syst., 2014

Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decomposition.
Knowl. Inf. Syst., 2014

Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets".
Inf. Sci., 2014

On the use of MapReduce for imbalanced big data using Random Forest.
Inf. Sci., 2014

Challenges of computing with words in decision making.
Inf. Sci., 2014

QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules.
Inf. Sci., 2014

On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed.
Inf. Sci., 2014

Region based memetic algorithm for real-parameter optimisation.
Inf. Sci., 2014

Empowering difficult classes with a similarity-based aggregation in multi-class classification problems.
Inf. Sci., 2014

METSK-HD<sup>e</sup>: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems.
Inf. Sci., 2014

FLINTSTONES: A fuzzy linguistic decision tools enhancement suite based on the 2-tuple linguistic model and extensions.
Inf. Sci., 2014

Analyzing convergence performance of evolutionary algorithms: A statistical approach.
Inf. Sci., 2014

Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects.
Inf. Sci., 2014

A review of microarray datasets and applied feature selection methods.
Inf. Sci., 2014

Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study.
Inf. Fusion, 2014

Information Fusion: Greetings from the new Editor-in-Chief.
Inf. Fusion, 2014

On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification.
Neurocomputing, 2014

Addressing imbalanced classification with instance generation techniques: IPADE-ID.
Neurocomputing, 2014

E-learning and educational data mining in cloud computing: an overview.
Int. J. Learn. Technol., 2014

Hesitant Fuzzy Sets: State of the Art and Future Directions.
Int. J. Intell. Syst., 2014

Hesitant Fuzzy Sets: An Emerging Tool in Decision Making.
Int. J. Intell. Syst., 2014

Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms.
Eng. Appl. Artif. Intell., 2014

Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection.
Appl. Soft Comput., 2014

A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification systems: D-MOFARC algorithm.
Appl. Soft Comput., 2014

Improving the Performance of FARC-HD in Multi-class Classification Problems Using the One-Versus-One Strategy and an Adaptation of the Inference System.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

MLeNN: A First Approach to Heuristic Multilabel Undersampling.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Improving the Behavior of the Nearest Neighbor Classifier against Noisy Data with Feature Weighting Schemes.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms.
Proceedings of the Hybrid Artificial Intelligence Systems - 9th International Conference, 2014

Designing a compact Genetic fuzzy rule-based system for one-class classification.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Learning from data using the R package "FRBS".
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

On the use of MapReduce to build linguistic fuzzy rule based classification systems for big data.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

A preliminary study on fingerprint classification using fuzzy rule-based classification systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Connecting the numerical scale model to the unbalanced linguistic term sets.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Enhancing difficult classes in one-vs-one classifier fusion strategy using restricted equivalence functions.
Proceedings of the 17th International Conference on Information Fusion, 2014

Weighted one-class classification for different types of minority class examples in imbalanced data.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

Influence of regions on the memetic algorithm for the CEC'2014 Special Session on Real-Parameter Single Objective Optimisation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning.
IEEE Trans. Knowl. Data Eng., 2013

IVTURS: A Linguistic Fuzzy Rule-Based Classification System Based On a New Interval-Valued Fuzzy Reasoning Method With Tuning and Rule Selection.
IEEE Trans. Fuzzy Syst., 2013

A Review of the Application of Multiobjective Evolutionary Fuzzy Systems: Current Status and Further Directions.
IEEE Trans. Fuzzy Syst., 2013

On the use of evolutionary feature selection for improving fuzzy rough set based prototype selection.
Soft Comput., 2013

FRPS: A Fuzzy Rough Prototype Selection method.
Pattern Recognit., 2013

Predicting noise filtering efficacy with data complexity measures for nearest neighbor classification.
Pattern Recognit., 2013

Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers.
Pattern Recognit., 2013

EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling.
Pattern Recognit., 2013

A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets.
Knowl. Based Syst., 2013

Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches.
Knowl. Based Syst., 2013

A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off.
Knowl. Based Syst., 2013

Special Issue on "Evolutionary Fuzzy Systems" EFSs.
Knowl. Based Syst., 2013

On the use of biplot analysis for multivariate bibliometric and scientific indicators.
J. Assoc. Inf. Sci. Technol., 2013

Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness.
Inf. Sci., 2013

A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets.
Inf. Sci., 2013

An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics.
Inf. Sci., 2013

The role of national university rankings in an international context: the case of the I-UGR Rankings of Spanish universities
CoRR, 2013

Statistical analysis of convergence performance throughout the evolutionary search: A case study with SaDE-MMTS and Sa-EPSDE-MMTS.
Proceedings of the 2013 IEEE Symposium on Differential Evolution, 2013

OWA-FRPS: A Prototype Selection Method Based on Ordered Weighted Average Fuzzy Rough Set Theory.
Proceedings of the Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 2013

Eliciting comparative linguistic expressions in group decision making.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

An Experimental Case of Study on the Behavior of Multiple Classifier Systems with Class Noise Datasets.
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013

A First Approach to Deal with Imbalance in Multi-label Datasets.
Proceedings of the Hybrid Artificial Intelligent Systems - 8th International Conference, 2013

Improving a fuzzy association rule-based classification model by granularity learning based on heuristic measures over multiple granularities.
Proceedings of the 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2013

Addressing covariate shift for Genetic Fuzzy Systems classifiers: A case of study with FARC-HD for imbalanced datasets.
Proceedings of the FUZZ-IEEE 2013, 2013

Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems.
Proceedings of the FUZZ-IEEE 2013, 2013

Variable mesh optimization for the 2013 CEC Special Session Niching Methods for Multimodal Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Dynamically updated region based memetic algorithm for the 2013 CEC Special Session and Competition on Real Parameter Single Objective Optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Our Collaboration with Da.
Proceedings of the A Tribute to Prof. Dr. Da Ruan, 2013

2012
Linguistic Fuzzy Rules in Data Mining: Follow-Up Mamdani Fuzzy Modeling Principle.
Proceedings of the Combining Experimentation and Theory - A Hommage to Abe Mamdani, 2012

A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification.
IEEE Trans. Syst. Man Cybern. Part C, 2012

A Review on Ensembles for the Class Imbalance Problem: Bagging-, Boosting-, and Hybrid-Based Approaches.
IEEE Trans. Syst. Man Cybern. Part C, 2012

Integrating Instance Selection, Instance Weighting, and Feature Weighting for Nearest Neighbor Classifiers by Coevolutionary Algorithms.
IEEE Trans. Syst. Man Cybern. Part B, 2012

Study on the Impact of Partition-Induced Dataset Shift on k -Fold Cross-Validation.
IEEE Trans. Neural Networks Learn. Syst., 2012

A Note on the ITS Topic Evolution in the Period 2000-2009 at T-ITS.
IEEE Trans. Intell. Transp. Syst., 2012

Grouping, Overlap, and Generalized Bientropic Functions for Fuzzy Modeling of Pairwise Comparisons.
IEEE Trans. Fuzzy Syst., 2012

Hesitant Fuzzy Linguistic Term Sets for Decision Making.
IEEE Trans. Fuzzy Syst., 2012

Variable mesh optimization for continuous optimization problems.
Soft Comput., 2012

Modeling dynamics of a real-coded CHC algorithm in terms of dynamical probability distributions.
Soft Comput., 2012

Missing data imputation for fuzzy rule-based classification systems.
Soft Comput., 2012

Ranking of research output of universities on the basis of the multidimensional prestige of influential fields: Spanish universities as a case of study.
Scientometrics, 2012

A unifying view on dataset shift in classification.
Pattern Recognit., 2012

Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Editors' Preface.
Prog. Artif. Intell., 2012

Evolutionary-based selection of generalized instances for imbalanced classification.
Knowl. Based Syst., 2012

Special issue on "New Trends in Data Mining" NTDM.
Knowl. Based Syst., 2012

SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory.
Knowl. Inf. Syst., 2012

On the choice of the best imputation methods for missing values considering three groups of classification methods.
Knowl. Inf. Syst., 2012

Analysis of new niching genetic algorithms for finding multiple solutions in the job shop scheduling.
J. Intell. Manuf., 2012

SciMAT: A new science mapping analysis software tool.
J. Assoc. Inf. Sci. Technol., 2012

An overview on the 2-tuple linguistic model for computing with words in decision making: Extensions, applications and challenges.
Inf. Sci., 2012

Shared domains of competence of approximate learning models using measures of separability of classes.
Inf. Sci., 2012

Enhancing evolutionary instance selection algorithms by means of fuzzy rough set based feature selection.
Inf. Sci., 2012

Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2012

Integrating a differential evolution feature weighting scheme into prototype generation.
Neurocomputing, 2012

Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics.
Expert Syst. Appl., 2012

A multi-objective evolutionary algorithm for an effective tuning of fuzzy logic controllers in heating, ventilating and air conditioning systems.
Appl. Intell., 2012

Hybrid laser pointer detection algorithm based on template matching and fuzzy rule-based systems for domotic control in real home environments.
Appl. Intell., 2012

An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing.
Proceedings of the 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing, 2012

Group Decision Making with Comparative Linguistic Terms.
Proceedings of the Advances on Computational Intelligence, 2012

Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations.
Proceedings of the ICPRAM 2012, 2012

A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms.
Proceedings of the ICPRAM 2012, 2012

Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data.
Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2012, 2012

A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

Improving Multi-label Classifiers via Label Reduction with Association Rules.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012

A case study on the application of instance selection techniques for Genetic Fuzzy Rule-Based Classifiers.
Proceedings of the FUZZ-IEEE 2012, 2012

Optimising real parameters using the information of a mesh of solutions: VMO algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Region based memetic algorithm with LS chaining.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Applying Linguistic OWA Operators in Consensus Models under Unbalanced Linguistic Information.
Proceedings of the Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice, 2011

A Fast and Scalable Multiobjective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems.
IEEE Trans. Fuzzy Syst., 2011

A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems With Genetic Rule Selection and Lateral Tuning.
IEEE Trans. Fuzzy Syst., 2011

A practical tutorial on the use of nonparametric statistical tests as a methodology for comparing evolutionary and swarm intelligence algorithms.
Swarm Evol. Comput., 2011

Special issue on evolutionary fuzzy systems.
Soft Comput., 2011

Memetic algorithms based on local search chains for large scale continuous optimisation problems: MA-SSW-Chains.
Soft Comput., 2011

Addressing data complexity for imbalanced data sets: analysis of SMOTE-based oversampling and evolutionary undersampling.
Soft Comput., 2011

Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems.
Soft Comput., 2011

Multiobjective genetic fuzzy rule selection of single granularity-based fuzzy classification rules and its interaction with the lateral tuning of membership functions.
Soft Comput., 2011

A methodology for Institution-Field ranking based on a bidimensional analysis: the <i>IFQ</i><sup>2</sup><i>A</i> index.
Scientometrics, 2011

Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification.
Pattern Recognit., 2011

An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes.
Pattern Recognit., 2011

Soft Computing Techniques in Data Mining.
J. Multiple Valued Log. Soft Comput., 2011

An overview on subgroup discovery: foundations and applications.
Knowl. Inf. Syst., 2011

An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field.
J. Informetrics, 2011

Science mapping software tools: Review, analysis, and cooperative study among tools.
J. Assoc. Inf. Sci. Technol., 2011

Interpretability of linguistic fuzzy rule-based systems: An overview of interpretability measures.
Inf. Sci., 2011

A genetic tuning to improve the performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of ignorance and lateral position.
Int. J. Approx. Reason., 2011

Evolutionary selection of hyperrectangles in nested generalized exemplar learning.
Appl. Soft Comput., 2011

Special issue on the trends in applied intelligence systems.
Appl. Intell., 2011

A Double Axis Classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems.
Proceedings of the Fuzzy Logic and Applications - 9th International Workshop, 2011

A case study on medical diagnosis of cardiovascular diseases using a Genetic Algorithm for Tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets.
Proceedings of the 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems, 2011

A study of the scaling up capabilities of stratified prototype generation.
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011

A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms.
Proceedings of the Advances in Computational Intelligence, 2011

Fuzzy Rule Based Classification Systems versus crisp robust learners trained in presence of class noise's effects: A case of study.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

A multi-objective evolutionary algorithm for mining quantitative association rules.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Enhancing IPADE Algorithm with a Different Individual Codification.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

Addressing the Classification with Imbalanced Data: Open Problems and New Challenges on Class Distribution.
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011

Evolutionary Multi-Objective Algorithm to effectively improve the performance of the classic tuning of fuzzy logic controllers for a heating, ventilating and Air Conditioning system.
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011

Analysis of the impact of using different diversity functions for the subgroup discovery algorithm NMEEF-SD.
Proceedings of the 5th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2011

Studying the behavior of a multiobjective genetic algorithm to design fuzzy rule-based classification systems for imbalanced data-sets.
Proceedings of the FUZZ-IEEE 2011, 2011

On the cooperation of interval-valued fuzzy sets and genetic tuning to improve the performance of fuzzy decision trees.
Proceedings of the FUZZ-IEEE 2011, 2011

Evolutionary learning of a laser pointer detection fuzzy system for an environment control system.
Proceedings of the FUZZ-IEEE 2011, 2011

A Multicriteria Linguistic Decision Making Model Dealing with Comparative Terms.
Proceedings of the Eurofuse 2011, 2011

On the Usefulness of Interval Valued Fuzzy Sets for Learning Fuzzy Rule Based Classification Systems.
Proceedings of the Eurofuse 2011, 2011

Construction of Interval-Valued Fuzzy Preference Relations Using Ignorance Functions: Interval-Valued Non Dominance Criterion.
Proceedings of the Eurofuse 2011, 2011

Musical genre classification by means of Fuzzy Rule-Based Systems: A preliminary approach.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems.
Proceedings of the Parallel and Distributed Computational Intelligence, 2010

A Survey on the Application of Genetic Programming to Classification.
IEEE Trans. Syst. Man Cybern. Part C, 2010

IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification.
IEEE Trans. Neural Networks, 2010

Integration of an Index to Preserve the Semantic Interpretability in the Multiobjective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems.
IEEE Trans. Fuzzy Syst., 2010

NMEEF-SD: Non-dominated Multiobjective Evolutionary Algorithm for Extracting Fuzzy Rules in Subgroup Discovery.
IEEE Trans. Fuzzy Syst., 2010

Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study.
IEEE Trans. Evol. Comput., 2010

<i>hg</i>-index: a new index to characterize the scientific output of researchers based on the <i>h</i>- and <i>g</i>-indices.
Scientometrics, 2010

IFS-CoCo: Instance and feature selection based on cooperative coevolution with nearest neighbor rule.
Pattern Recognit., 2010

A study on the use of imputation methods for experimentation with Radial Basis Function Network classifiers handling missing attribute values: The good synergy between RBFNs and EventCovering method.
Neural Networks, 2010

Stratified prototype selection based on a steady-state memetic algorithm: a study of scalability.
Memetic Comput., 2010

q<sup>2</sup>-Index: Quantitative and qualitative evaluation based on the number and impact of papers in the Hirsch core.
J. Informetrics, 2010

<i>WoS</i> query partitioner: A tool to retrieve very large numbers of items from the <i>Web of Science</i> using different source-based partitioning approaches.
J. Assoc. Inf. Sci. Technol., 2010

Improving the performance of fuzzy rule-based classification systems with interval-valued fuzzy sets and genetic amplitude tuning.
Inf. Sci., 2010

Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power.
Inf. Sci., 2010

On the 2-tuples based genetic tuning performance for fuzzy rule based classification systems in imbalanced data-sets.
Inf. Sci., 2010

GP-COACH: Genetic Programming-based learning of COmpact and ACcurate fuzzy rule-based classification systems for High-dimensional problems.
Inf. Sci., 2010

A web based consensus support system for group decision making problems and incomplete preferences.
Inf. Sci., 2010

Guest Editors' Introduction.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2010

A bibliometric study about the research based on hybridating the fuzzy logic field and the other computational intelligent techniques: A visual approach.
Int. J. Hybrid Intell. Syst., 2010

Computing with Words in Decision support Systems: An overview on Models and Applications.
Int. J. Comput. Intell. Syst., 2010

Special Issue on Decision Support Systems based on Computing with Words: Applications.
Int. J. Comput. Intell. Syst., 2010

A Survey on Evolutionary Instance Selection and Generation.
Int. J. Appl. Metaheuristic Comput., 2010

Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules.
Fundam. Informaticae, 2010

Domains of competence of fuzzy rule based classification systems with data complexity measures: A case of study using a fuzzy hybrid genetic based machine learning method.
Fuzzy Sets Syst., 2010

Solving multi-class problems with linguistic fuzzy rule based classification systems based on pairwise learning and preference relations.
Fuzzy Sets Syst., 2010

Analysis of the efficacy of a Two-Stage methodology for ant colony optimization: Case of study with TSP and QAP.
Expert Syst. Appl., 2010

Memetic Algorithms for Continuous Optimisation Based on Local Search Chains.
Evol. Comput., 2010

A first study on the noise impact in classes for Fuzzy Rule Based Classification Systems.
Proceedings of the 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, 2010

A preliminary study on overlapping and data fracture in imbalanced domains by means of Genetic Programming-based feature extraction.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

A first approach for cost-sensitive classification with linguistic Genetic Fuzzy Systems in imbalanced data-sets.
Proceedings of the 10th International Conference on Intelligent Systems Design and Applications, 2010

A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, 2010

Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm.
Proceedings of the Trends in Applied Intelligent Systems, 2010

IFS-CoCo in the Landscape Contest: Description and Results.
Proceedings of the Recognizing Patterns in Signals, Speech, Images and Videos, 2010

Analysing the Hierarchical Fuzzy Rule Based Classification Systems with genetic rule selection.
Proceedings of the 4th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2010

A fuzzy associative classification system with genetic rule selection for high-dimensional problems.
Proceedings of the 4th IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems, 2010

A genetic algorithm for tuning fuzzy rule-based classification systems with Interval-Valued Fuzzy Sets.
Proceedings of the FUZZ-IEEE 2010, 2010

An extraction method for the characterization of the Fuzzy Rule Based Classification Systems' behavior using data complexity measures: A case of study with FH-GBML.
Proceedings of the FUZZ-IEEE 2010, 2010

Genetic tuning of a laser pointer environment control device system for handicapped people with fuzzy systems.
Proceedings of the FUZZ-IEEE 2010, 2010

A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

MA-SW-Chains: Memetic algorithm based on local search chains for large scale continuous global optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

A Review on Evolutionary Prototype Selection.
Proceedings of the Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications, 2010

2009
Cardinal Consistency of Reciprocal Preference Relations: A Characterization of Multiplicative Transitivity.
IEEE Trans. Fuzzy Syst., 2009

A Multiobjective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy-Rule-Based Systems.
IEEE Trans. Fuzzy Syst., 2009

A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability.
Soft Comput., 2009

Adaptation and application of multi-objective evolutionary algorithms for rule reduction and parameter tuning of fuzzy rule-based systems.
Soft Comput., 2009

KEEL: a software tool to assess evolutionary algorithms for data mining problems.
Soft Comput., 2009

h-Index: A review focused in its variants, computation and standardization for different scientific fields.
J. Informetrics, 2009

A study of the use of multi-objective evolutionary algorithms to learn Boolean queries: A comparative study.
J. Assoc. Inf. Sci. Technol., 2009

A fuzzy model to evaluate the suitability of installing an enterprise resource planning system.
Inf. Sci., 2009

Linguistic decision making: Tools and applications.
Inf. Sci., 2009

Visualization and evolution of the scientific structure of fuzzy sets research in Spain.
Inf. Res., 2009

Diagnose Effective Evolutionary Prototype Selection Using an Overlapping Measure.
Int. J. Pattern Recognit. Artif. Intell., 2009

Individual and Social Strategies to Deal with Ignorance Situations in Multi-Person Decision Making.
Int. J. Inf. Technol. Decis. Mak., 2009

Hybrid crossover operators with multiple descendents for real-coded genetic algorithms: Combining neighborhood-based crossover operators.
Int. J. Intell. Syst., 2009

Group decision making with incomplete fuzzy linguistic preference relations.
Int. J. Intell. Syst., 2009

Special issue: Data mining and hybrid intelligent systems.
Int. J. Hybrid Intell. Syst., 2009

Hierarchical fuzzy rule based classification systems with genetic rule selection for imbalanced data-sets.
Int. J. Approx. Reason., 2009

A study on the use of non-parametric tests for analyzing the evolutionary algorithms' behaviour: a case study on the CEC'2005 Special Session on Real Parameter Optimization.
J. Heuristics, 2009

Applying multi-objective evolutionary algorithms to the automatic learning of extended Boolean queries in fuzzy ordinal linguistic information retrieval systems.
Fuzzy Sets Syst., 2009

Learning the membership function contexts for mining fuzzy association rules by using genetic algorithms.
Fuzzy Sets Syst., 2009

Computing with words and decision making.
Fuzzy Optim. Decis. Mak., 2009

Computing with words in decision making: foundations, trends and prospects.
Fuzzy Optim. Decis. Mak., 2009

Evolutionary parallel and gradually distributed lateral tuning of fuzzy rule-based systems.
Evol. Intell., 2009

Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data.
Expert Syst. Appl., 2009

A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests.
Expert Syst. Appl., 2009

On the influence of an adaptive inference system in fuzzy rule based classification systems for imbalanced data-sets.
Expert Syst. Appl., 2009

Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy.
Evol. Comput., 2009

Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems.
Appl. Soft Comput., 2009

Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems.
Appl. Intell., 2009

Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems.
Proceedings of the Learning and Intelligent Optimization, Third International Conference, 2009

A Preliminar Analysis of CO2RBFN in Imbalanced Problems.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System.
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009

Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Addressing Data-Complexity for Imbalanced Data-Sets: A Preliminary Study on the Use of Preprocessing for C4.5.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm.
Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications, 2009

Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-Sets.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions.
Proceedings of the Genetic and Evolutionary Computation Conference, 2009

A genetic learning of the fuzzy rule-based classification system granularity for highly imbalanced data-sets.
Proceedings of the FUZZ-IEEE 2009, 2009

An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery.
Proceedings of the FUZZ-IEEE 2009, 2009

Generating single granularity-based fuzzy classification rules for multiobjective genetic fuzzy rule selection.
Proceedings of the FUZZ-IEEE 2009, 2009

Distributed Genetic Tuning of Fuzzy Rule-Based Systems.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

On the use of Measures of Separability of Classes to Characterise the Domains of Competence of a Fuzzy Rule Based Classification System.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Memetic algorithm with Local search chaining for large scale continuous optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Subgroup Discovery with Linguistic Rules.
Proceedings of the Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 2008

On the Usefulness of MOEAs for Getting Compact FRBSs Under Parameter Tuning and Rule Selection.
Proceedings of the Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008

A Fuzzy Linguistic Methodology to Deal With Unbalanced Linguistic Term Sets.
IEEE Trans. Fuzzy Syst., 2008

A Multiobjective Evolutionary Conceptual Clustering Methodology for Gene Annotation Within Structural Databases: A Case of Study on the Gene Ontology Database.
IEEE Trans. Evol. Comput., 2008

Subgroup discover in large size data sets preprocessed using stratified instance selection for increasing the presence of minority classes.
Pattern Recognit. Lett., 2008

A memetic algorithm for evolutionary prototype selection: A scaling up approach.
Pattern Recognit., 2008

An Interactive Decision Support System Based on Consistency Criteria.
J. Multiple Valued Log. Soft Comput., 2008

Replacement strategies to preserve useful diversity in steady-state genetic algorithms.
Inf. Sci., 2008

A Note on the Estimation of Missing Pairwise Preference Values: a Uninorm Consistency Based Method.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008

Guest Editors' Introduction.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008

Real-parameter crossover operators with multiple descendents: An experimental study.
Int. J. Intell. Syst., 2008

A consistency-based procedure to estimate missing pairwise preference values.
Int. J. Intell. Syst., 2008

A study of the behaviour of linguistic fuzzy rule based classification systems in the framework of imbalanced data-sets.
Fuzzy Sets Syst., 2008

Genetic fuzzy systems: taxonomy, current research trends and prospects.
Evol. Intell., 2008

Making CN2-SD subgroup discovery algorithm scalable to large size data sets using instance selection.
Expert Syst. Appl., 2008

Global and local real-coded genetic algorithms based on parent-centric crossover operators.
Eur. J. Oper. Res., 2008

A Multiobjective Evolutionary Algorithm for spam e-mail filtering.
Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008

Memetic Algorithm for Intense Local Search Methods Using Local Search Chains.
Proceedings of the Hybrid Metaheuristics, 5th International Workshop, 2008

Visualizing the Hybridizations between the Fuzzy Logic Field and the Other Soft-Computing Techniques.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

Design of Experiments in Computational Intelligence: On the Use of Statistical Inference.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework.
Proceedings of the Hybrid Artificial Intelligence Systems, Third International Workshop, 2008

A novel genetic cooperative-competitive fuzzy rule based learning method using genetic programming for high dimensional problems.
Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, 2008

KEEL: A data mining software tool integrating genetic fuzzy systems.
Proceedings of the 3rd International Workshop on Genetic and Evolving Systems, 2008

Construction of consistent fuzzy preference relations using uninorms.
Proceedings of the FUZZ-IEEE 2008, 2008

2007
Group Decision-Making Model With Incomplete Fuzzy Preference Relations Based on Additive Consistency.
IEEE Trans. Syst. Man Cybern. Part B, 2007

Cooperative Evolutionary Learning of Linguistic Fuzzy Rules and Parametric Aggregation Connectors for Mamdani Fuzzy Systems.
IEEE Trans. Fuzzy Syst., 2007

Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing.
IEEE Trans. Fuzzy Syst., 2007

A Consensus Model for Group Decision Making With Incomplete Fuzzy Preference Relations.
IEEE Trans. Fuzzy Syst., 2007

A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and Its Interaction With Rule Selection.
IEEE Trans. Fuzzy Syst., 2007

Rule Base Reduction and Genetic Tuning of Fuzzy Systems Based on the Linguistic 3-tuples Representation.
Soft Comput., 2007

A Multi-Objective Genetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2007

Local identification of prototypes for genetic learning of accurate TSK fuzzy rule-based systems.
Int. J. Intell. Syst., 2007

Increasing fuzzy rules cooperation based on evolutionary adaptive inference systems.
Int. J. Intell. Syst., 2007

Special Issue on Genetic Fuzzy Systems and the Interpretability-Accuracy Trade-off.
Int. J. Approx. Reason., 2007

Genetic learning of accurate and compact fuzzy rule based systems based on the 2-tuples linguistic representation.
Int. J. Approx. Reason., 2007

A taxonomy and an empirical analysis of multiple objective ant colony optimization algorithms for the bi-criteria TSP.
Eur. J. Oper. Res., 2007

Some induced ordered weighted averaging operators and their use for solving group decision-making problems based on fuzzy preference relations.
Eur. J. Oper. Res., 2007

Evolutionary stratified training set selection for extracting classification rules with trade off precision-interpretability.
Data Knowl. Eng., 2007

An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets.
Proceedings of the Applications of Fuzzy Sets Theory, 2007

A Study on the Use of Statistical Tests for Experimentation with Neural Networks.
Proceedings of the Computational and Ambient Intelligence, 2007

A Study on the Use of the Fuzzy Reasoning Method Based on the Winning Rule vs. Voting Procedure for Classification with Imbalanced Data Sets.
Proceedings of the Computational and Ambient Intelligence, 2007

Multi-objective Evolutionary Algorithms in the Automatic Learning of Boolean Queries: A Comparative Study.
Proceedings of the Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, 2007

Consistency of Reciprocal Preference Relations.
Proceedings of the FUZZ-IEEE 2007, 2007

Visualizing Consensus in Group Decision Making Situations.
Proceedings of the FUZZ-IEEE 2007, 2007

Genetic Learning of Membership Functions for Mining Fuzzy Association Rules.
Proceedings of the FUZZ-IEEE 2007, 2007

A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems.
Proceedings of the FUZZ-IEEE 2007, 2007

Niching Genetic Feature Selection Algorithms Applied to the Design of Fuzzy Rule-based Classification Systems.
Proceedings of the FUZZ-IEEE 2007, 2007

Multiobjective Genetic Algorithm for Extracting Subgroup Discovery Fuzzy Rules.
Proceedings of the IEEE Symposium on Computational Intelligence in Multicriteria Decision Making, 2007

2006
New trends in fuzzy modeling. part II: applications.
Soft Comput., 2006

New trends in the fuzzy modeling part I: novel approaches.
Soft Comput., 2006

Hybrid learning models to get the interpretability-accuracy trade-off in fuzzy modeling.
Soft Comput., 2006

Recent advancements of fuzzy sets: Theory and practice.
Inf. Sci., 2006

Continuous scatter search: An analysis of the integration of some combination methods and improvement strategies.
Eur. J. Oper. Res., 2006

On the combination of evolutionary algorithms and stratified strategies for training set selection in data mining.
Appl. Soft Comput., 2006

Strategies to Manage Ignorance Situations in Multiperson Decision Making Problems.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2006

Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2006

Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing.
Proceedings of the Advances in Data Mining, 2006

Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems.
Proceedings of the Advances in Applied Artificial Intelligence, 2006

Incorporating Knowledge in Evolutionary Prototype Selection.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

A Proposal of Evolutionary Prototype Selection for Class Imbalance Problems.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006

A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems.
Proceedings of the Artificial Intelligence and Soft Computing, 2006

2005
Evolutionary Induction of Descriptive Rules in a Market Problem.
Proceedings of the Intelligent Data Mining: Techniques and Applications, 2005

Techniques to Improve Multi-Agent Systems for Searching and Mining the Web.
Proceedings of the Intelligent Data Mining: Techniques and Applications, 2005

Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction.
IEEE Trans. Fuzzy Syst., 2005

Hybrid crossover operators for real-coded genetic algorithms: an experimental study.
Soft Comput., 2005

Editorial Real coded genetic algorithms.
Soft Comput., 2005

Stratification for scaling up evolutionary prototype selection.
Pattern Recognit. Lett., 2005

A multigranular hierarchical linguistic model for design evaluation based on safety and cost analysis.
Int. J. Intell. Syst., 2005

Learning cooperative linguistic fuzzy rules using the best-worst ant system algorithm.
Int. J. Intell. Syst., 2005

Managing non-homogeneous information in group decision making.
Eur. J. Oper. Res., 2005

A genetic rule weighting and selection process for fuzzy control of heating, ventilating and air conditioning systems.
Eng. Appl. Artif. Intell., 2005

Genetic Learning of the Knowledge Base of a Fuzzy System by Using the Linguistic 2-Tuples Representation.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Learning compact fuzzy rule-based classification systems with genetic programming.
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

An Approach to Consensus Reaching in Multiperson Decision Making Problems with Incomplete Information.
Proceedings of the Joint 4th Conference of the European Society for Fuzzy Logic and Technology and the 11th Rencontres Francophones sur la Logique Floue et ses Applications, 2005

Adaptive local search parameters for real-coded memetic algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Rationality of induced ordered weighted operators based on the reliability of the source of information in group decision-making.
Kybernetika, 2004

Induced ordered weighted geometric operators and their use in the aggregation of multiplicative preference relations.
Int. J. Intell. Syst., 2004

A Study on the Evolutionary Adaptive Defuzzification Methods in Fuzzy Modeling.
Int. J. Hybrid Intell. Syst., 2004

Incorporating filtering techniques in a fuzzy linguistic multi-agent model for information gathering on the web.
Fuzzy Sets Syst., 2004

Ten years of genetic fuzzy systems: current framework and new trends.
Fuzzy Sets Syst., 2004

Genetic fuzzy systems. New developments.
Fuzzy Sets Syst., 2004

Some issues on consistency of fuzzy preference relations.
Eur. J. Oper. Res., 2004

Real-Coded Memetic Algorithms with Crossover Hill-Climbing.
Evol. Comput., 2004

A Learning Procedure to Estimate Missing Values in Fuzzy Preference Relations Based on Additive Consistency.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2004

Genetic tuning on fuzzy systems based on the linguistic 2-tuples representation.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

An Empirical Analysis of Multiple Objective Ant Colony Optimization Algorithms for the Bi-criteria TSP.
Proceedings of the Ant Colony Optimization and Swarm Intelligence, 2004

2003
Author's reply [to comments on 'A proposal to improve the accuracy of linguistic modelling'].
IEEE Trans. Fuzzy Syst., 2003

Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study.
IEEE Trans. Evol. Comput., 2003

Fuzzy adaptive genetic algorithms: design, taxonomy, and future directions.
Soft Comput., 2003

Finding multiple solutions in job shop scheduling by niching genetic algorithms.
J. Intell. Manuf., 2003

A taxonomy for the crossover operator for real-coded genetic algorithms: An experimental study.
Int. J. Intell. Syst., 2003

A study of the origin and uses of the ordered weighted geometric operator in multicriteria decision making.
Int. J. Intell. Syst., 2003

Editorial: Preference modeling and applications: EUROFUSE 2001.
Int. J. Intell. Syst., 2003

Linguistic modeling with hierarchical systems of weighted linguistic rules.
Int. J. Approx. Reason., 2003

Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolutionary learning.
Integr. Comput. Aided Eng., 2003

A hierarchical knowledge-based environment for linguistic modeling: models and iterative methodology.
Fuzzy Sets Syst., 2003

A note on the reciprocity in the aggregation of fuzzy preference relations using OWA operators.
Fuzzy Sets Syst., 2003

Preference modelling and applications: Selected papers from EUROFUSE 2001, Granada.
Fuzzy Sets Syst., 2003

Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models.
Proceedings of the Modelling with Words, 2003

Genetic adaption of rule connectives and conjunction operators in fuzzy rule based systems: an experimental comparative study.
Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003

Current issues and future directions in evolutionary fuzzy systems research.
Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003

Genetic learning of accurate TS models based on local fuzzy prototyping.
Proceedings of the 3rd Conference of the European Society for Fuzzy Logic and Technology, 2003

2002
A consensus model for multiperson decision making with different preference structures.
IEEE Trans. Syst. Man Cybern. Part A, 2002

COR: a methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules.
IEEE Trans. Syst. Man Cybern. Part B, 2002

Linguistic modeling by hierarchical systems of linguistic rules.
IEEE Trans. Fuzzy Syst., 2002

A communication model based on the 2-tuple fuzzy linguistic representation for a distributed intelligent agent system on Internet.
Soft Comput., 2002

A greedy randomized adaptive search procedure applied to the clustering problem as an initialization process using K-Means as a local search procedure.
J. Intell. Fuzzy Syst., 2002

A linguistic decision model for promotion mix management solved with genetic algorithms.
Fuzzy Sets Syst., 2002

A note on the internal consistency of various preference representations.
Fuzzy Sets Syst., 2002

Hybridizing Hierarchical and Weighted Linguistic Rules.
Proceedings of the 2002 ACM Symposium on Applied Computing (SAC), 2002

Group Decision Making Based on the Linguistic 2-Tuple Model in Heterogeneous Contexts.
Proceedings of the ICEIS 2002, 2002

Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems.
Proceedings of the ICEIS 2002, 2002

Multiple Crossover per Couple with Selection of the Two Best Offspring: An Experimental Study with the BLX-alpha Crossover Operator for Real-Coded Genetic Algorithms.
Proceedings of the Advances in Artificial Intelligence, 2002

A Prediction System for Cardiovascularity Diseases Using Genetic Fuzzy Rule-Based Systems.
Proceedings of the Advances in Artificial Intelligence, 2002

A GRASP Algorithm for Clustering.
Proceedings of the Advances in Artificial Intelligence, 2002

Improving Simple Linguistic Fuzzy Models by Means of the Weighted COR Methodology.
Proceedings of the Advances in Artificial Intelligence, 2002

Analysis of the Best-Worst Ant System and Its Variants on the QAP.
Proceedings of the Ant Algorithms, Third International Workshop, 2002

2001
Genetic Fuzzy Systems - Evolutionary Tuning and Learning of Fuzzy Knowledge Bases
Advances in Fuzzy Systems - Applications and Theory 19, World Scientific, ISBN: 978-981-4494-45-8, 2001

A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making.
IEEE Trans. Syst. Man Cybern. Part B, 2001

Generating the knowledge base of a fuzzy rule-based system by the genetic learning of the data base.
IEEE Trans. Fuzzy Syst., 2001

Adaptive genetic operators based on coevolution with fuzzy behaviors.
IEEE Trans. Evol. Comput., 2001

Building fuzzy graphs: Features and taxonomy of learning for non-grid-oriented fuzzy rule-based systems.
J. Intell. Fuzzy Syst., 2001

A genetic learning process for the scaling factors, granularity and contexts of the fuzzy rule-based system data base.
Inf. Sci., 2001

Recent advances in genetic fuzzy systems - Guest editorial.
Inf. Sci., 2001

Genetic feature selection in a fuzzy rule-based classification system learning process for high-dimensional problems.
Inf. Sci., 2001

The 2-Tuple Linguistic Computational Model. Advantages of Its Linguistic Description, Accuracy and Consistency.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001

Guest Editorial - Computing with Words: Foundations and Applications.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2001

Fuzzy modeling by hierarchically built fuzzy rule bases.
Int. J. Approx. Reason., 2001

A linguistic decision model for personnel management solved with a linguistic biobjective genetic algorithm.
Fuzzy Sets Syst., 2001

Hybridizing genetic algorithms with sharing scheme and evolution strategies for designing approximate fuzzy rule-based systems.
Fuzzy Sets Syst., 2001

Integrating multiplicative preference relations in a multipurpose decision-making model based on fuzzy preference relations.
Fuzzy Sets Syst., 2001

Multiperson decision-making based on multiplicative preference relations.
Eur. J. Oper. Res., 2001

Feature Selection Algorithms Applied to Parkinson's Disease.
Proceedings of the Medical Data Analysis, Second International Symposium, 2001

A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001

Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution.
Proceedings of the 2nd International Conference in Fuzzy Logic and Technology, 2001

Cooperative Coevolution for Learning Fuzzy Rule-Based Systems.
Proceedings of the Artificial Evolution, 2001

2000
A 2-tuple fuzzy linguistic representation model for computing with words.
IEEE Trans. Fuzzy Syst., 2000

A proposal for improving the accuracy of linguistic modeling.
IEEE Trans. Fuzzy Syst., 2000

Gradual distributed real-coded genetic algorithms.
IEEE Trans. Evol. Comput., 2000

An Approach for Combining Linguistic and Numerical Information Based on the 2-Tuple Fuzzy Linguistic Representation Model in Decision-Making.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2000

Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing.
Int. J. Approx. Reason., 2000

A fusion approach for managing multi-granularity linguistic term sets in decision making.
Fuzzy Sets Syst., 2000

Linguistic decision analysis: steps for solving decision problems under linguistic information.
Fuzzy Sets Syst., 2000

Searching for basic properties obtaining robust implication operators in fuzzy control.
Fuzzy Sets Syst., 2000

Choice functions and mechanisms for linguistic preference relations.
Eur. J. Oper. Res., 2000

Portable data acquisition system for EKG measurements in marine environments.
Comput. Methods Programs Biomed., 2000

Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes.
Appl. Intell., 2000

Adaptic Control of the Mutation Probability by Fuzzy Logic Controllers.
Proceedings of the Parallel Problem Solving from Nature, 2000

1999
A two-stage evolutionary process for designing TSK fuzzy rule-based systems.
IEEE Trans. Syst. Man Cybern. Part B, 1999

Hierarchical distributed genetic algorithms.
Int. J. Intell. Syst., 1999

MOGUL: A methodology to obtain genetic fuzzy rule-based systems under the iterative rule learning approach.
Int. J. Intell. Syst., 1999

A proposal on reasoning methods in fuzzy rule-based classification systems.
Int. J. Approx. Reason., 1999

Solving an assignment-selection problem with verbal information and using genetic algorithms.
Eur. J. Oper. Res., 1999

Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques.
Appl. Intell., 1999

ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis.
Proceedings of the Advances in Intelligent Data Analysis, Third International Symposium, 1999

A selection method based on the 2-tuple linguistic representation model for decision-making problems with multi-granularity linguistic information.
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999

Influence of fuzzy partition granularity on fuzzy rule-based system behaviour.
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999

Characterisation of implication operators in fuzzy rule based systems from basic properties.
Proceedings of the EUSFLAT-ESTYLF Joint Conference, 1999

1998
Combining Numerical and Linguistic Information in Group Decision Making.
Inf. Sci., 1998

Introduction: Genetic fuzzy systems.
Int. J. Intell. Syst., 1998

Genetic learning of fuzzy rule-based classification systems cooperating with fuzzy reasoning methods.
Int. J. Intell. Syst., 1998

A learning process for fuzzy control rules using genetic algorithms.
Fuzzy Sets Syst., 1998

Choice processes for non-homogeneous group decision making in linguistic setting.
Fuzzy Sets Syst., 1998

Integrating three representation models in fuzzy multipurpose decision making based on fuzzy preference relations.
Fuzzy Sets Syst., 1998

Tackling Real-Coded Genetic Algorithms: Operators and Tools for Behavioural Analysis.
Artif. Intell. Rev., 1998

Modelado cualitativo utilizando una metodología evolutiva de aprendizaje iterativo de bases de reglas difusas.
Inteligencia Artif., 1998

Hybrid Distributed Real-Coded Genetic Algorithms.
Proceedings of the Parallel Problem Solving from Nature, 1998

Computing the Spanish Medium Electrical Line Maintenance Costs by means of Evolution-Based Learning Processes.
Proceedings of the Methodology and Tools in Knowledge-Based Systems, 1998

1997
Aggregation operators for linguistic weighted information.
IEEE Trans. Syst. Man Cybern. Part A, 1997

Linguistic measures based on fuzzy coincidence for reaching consensus in group decision making.
Int. J. Approx. Reason., 1997

Special issue on genetic fuzzy systems for control and robotics-- Preface.
Int. J. Approx. Reason., 1997

A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples.
Int. J. Approx. Reason., 1997

Fuzzy sets and operations research: Perspectives.
Fuzzy Sets Syst., 1997

Fuzzy connectives based crossover operators to model genetic algorithms population diversity.
Fuzzy Sets Syst., 1997

A rational consensus model in group decision making using linguistic assessments.
Fuzzy Sets Syst., 1997

Applicability of the fuzzy operators in the design of fuzzy logic controllers.
Fuzzy Sets Syst., 1997

1996
Dynamic and heuristic fuzzy connectives-based crossover operators for controlling the diversity and convergence of real-coded genetic algorithms.
Int. J. Intell. Syst., 1996

Fuzzy boolean programming problems with fuzzy costs: A general study.
Fuzzy Sets Syst., 1996

A model of consensus in group decision making under linguistic assessments.
Fuzzy Sets Syst., 1996

Direct approach processes in group decision making using linguistic OWA operators.
Fuzzy Sets Syst., 1996

Heuristic Crossovers for Real-Coded Genetic Algorithms Based on Fuzzy Connectives.
Proceedings of the Parallel Problem Solving from Nature, 1996

A Three-Stage Method for Designing Genetic Fuzzy Systems by Learning from Examples.
Proceedings of the Parallel Problem Solving from Nature, 1996

1995
A Sequential Selection Process in Group Decision Making with a Linguistic Assessment Approach.
Inf. Sci., 1995

Tuning fuzzy logic controllers by genetic algorithms.
Int. J. Approx. Reason., 1995

1994
Homogeneous Linear fuzzy Functions and Ranking Methods in fuzzy Linear Programming Problems.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 1994

Knowledge-based systems and fuzzy boolean programming.
Int. J. Intell. Syst., 1994


  Loading...