Isaac Triguero
Orcid: 0000-0002-0150-0651
According to our database1,
Isaac Triguero
authored at least 94 papers
between 2010 and 2024.
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Bibliography
2024
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance.
Inf. Fusion, March, 2024
Appl. Intell., 2024
2023
Inf. Sci., October, 2023
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond.
CoRR, 2023
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications.
CoRR, 2023
AutoEn: An AutoML method based on ensembles of predefined Machine Learning pipelines for supervised Traffic Forecasting.
CoRR, 2023
CoRR, 2023
An Initial Step Towards Stable Explanations for Multivariate Time Series Classifiers with LIME.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023
Proceedings of the Machine Learning and Knowledge Extraction, 2023
2022
SPMS-ALS: A Single-Point Memetic structure with accelerated local search for instance reduction.
Swarm Evol. Comput., 2022
Comparison and Evaluation of Methods for a Predict+Optimize Problem in Renewable Energy.
CoRR, 2022
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022
Accelerated pattern search with variable solution size for simultaneous instance selection and generation.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022
2021
IEEE Trans. Fuzzy Syst., 2021
Coevolutionary Fuzzy Attribute Order Reduction With Complete Attribute-Value Space Tree.
IEEE Trans. Emerg. Top. Comput. Intell., 2021
L2AE-D: Learning to Aggregate Embeddings for Few-shot Learning with Meta-level Dropout.
Neurocomputing, 2021
Neurocomputing guest editorial for the special issue: Advances in deep and shallow machine learning approaches for handling data irregularities.
Neurocomputing, 2021
EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification.
Appl. Soft Comput., 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data.
IEEE Trans. Fuzzy Syst., 2020
IEEE Access, 2020
IEEE Access, 2020
General-Purpose Automated Machine Learning for Transportation: A Case Study of Auto-sklearn for Traffic Forecasting.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
Chi-BD-DRF: Design of Scalable Fuzzy Classifiers for Big Data via A Dynamic Rule Filtering Approach.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020
A Hybrid Surrogate Model for Evolutionary Undersampling in Imbalanced Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 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
Introduction to the Special Issue on Human-interaction-aware Data Analytics for Cyber-physical Systems.
ACM Trans. Cyber Phys. Syst., 2019
A review on the self and dual interactions between machine learning and optimisation.
Prog. Artif. Intell., 2019
Handling uncertainty in citizen science data: Towards an improved amateur-based large-scale classification.
Inf. Sci., 2019
Multi-head CNN-RNN for multi-time series anomaly detection: An industrial case study.
Neurocomputing, 2019
PAS3-HSID: a Dynamic Bio-Inspired Approach for Real-Time Hot Spot Identification in Data Streams.
Cogn. Comput., 2019
Cogn. Comput., 2019
IEEE Access Special Section Editorial: Data Mining and Granular Computing in Big Data and Knowledge Processing.
IEEE Access, 2019
A Taxonomy of Traffic Forecasting Regression Problems From a Supervised Learning Perspective.
IEEE Access, 2019
A Simulation-based Optimisation Approach for Inventory Management of Highly Perishable Food.
Proceedings of the 8th International Conference on Operations Research and Enterprise Systems, 2019
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
A Preliminary Approach for the Exploitation of Citizen Science Data for Fast and Robust Fuzzy k-Nearest Neighbour Classification.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019
Proceedings of the IEEE Congress on Evolutionary Computation, 2019
2018
Self-labeling techniques for semi-supervised time series classification: an empirical study.
Knowl. Inf. Syst., 2018
On the use of convolutional neural networks for robust classification of multiple fingerprint captures.
Int. J. Intell. Syst., 2018
A Preliminary Study on Automatic Algorithm Selection for Short-Term Traffic Forecasting.
Proceedings of the Intelligent Distributed Computing XII, 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
A Genetic Algorithm With Composite Chromosome for Shift Assignment of Part-time Employees.
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
2017
IEEE Trans. Emerg. Top. Comput. Intell., 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
Int. J. Comput. Intell. Syst., 2017
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints.
CoRR, 2017
Proceedings of the 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 1-4, 2017, 2017
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
2016
Pattern Recognit., 2016
On the stopping criteria for k-Nearest Neighbor in positive unlabeled time series classification problems.
Inf. Sci., 2016
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases.
Inf. Fusion, 2016
EPRENNID: An evolutionary prototype reduction based ensemble for nearest neighbor classification of imbalanced data.
Neurocomputing, 2016
Proceedings of the 2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2016
Evolutionary undersampling for extremely imbalanced big data classification under apache spark.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification.
IEEE Trans. Cybern., 2015
ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem.
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
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study.
Knowl. Inf. Syst., 2015
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation.
Inf. Sci., 2015
Neurocomputing, 2015
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015
Proceedings of the IEEE Congress on Evolutionary Computation, 2015
2014
On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification.
Neurocomputing, 2014
Neurocomputing, 2014
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms.
Eng. Appl. Artif. Intell., 2014
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation.
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
2012
A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification.
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
Time Series Modeling and Forecasting Using Memetic Algorithms for Regime-Switching Models.
IEEE Trans. Neural Networks Learn. Syst., 2012
Knowl. Based Syst., 2012
Integrating a differential evolution feature weighting scheme into prototype generation.
Neurocomputing, 2012
Expert Syst. Appl., 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
Optimization of Neuro-Coefficient Smooth Transition Autoregressive Models Using Differential Evolution.
Proceedings of the Hybrid Artificial Intelligent Systems - 7th International Conference, 2012
2011
Differential evolution for optimizing the positioning of prototypes in nearest neighbor classification.
Pattern Recognit., 2011
Proceedings of the Third World Congress on Nature & Biologically Inspired Computing, 2011
Proceedings of the Hybrid Artificial Intelligent Systems - 6th International Conference, 2011
2010
IEEE Trans. Neural Networks, 2010
A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification.
Proceedings of the Trends in Applied Intelligent Systems, 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