Vasile Palade

Orcid: 0000-0002-6768-8394

Affiliations:
  • University of Oxford, UK


According to our database1, Vasile Palade authored at least 212 papers between 1998 and 2024.

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Bibliography

2024
Farmland Segmentation in Landsat 8 Satellite Images Using Deep Learning and Conditional Generative Adversarial Networks.
Remote. Sens., March, 2024

Graphical Consensus-Based Sharding for Efficient and Secure Sharings in Blockchain-Enabled Internet of Vehicles.
IEEE Trans. Veh. Technol., 2024

Spectral-Spatial Classification With Naive Bayes and Adaptive FFT for Improved Classification Accuracy of Hyperspectral Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Editorial: Foreword to the Special Issue on Artificial Intelligence for Hyper- and Multispectral Remote Sensing Image Processing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

An Emotion Type Informed Multi-Task Model for Emotion Cause Pair Extraction.
IEEE Access, 2024

2023
USMA-BOF: A Novel Bag-of-Features Algorithm for Classification of Infected Plant Leaf Images in Precision Agriculture.
IEEE Robotics Autom. Mag., December, 2023

Deep Learning Techniques for Radar-Based Continuous Human Activity Recognition.
Mach. Learn. Knowl. Extr., December, 2023

Deep learning in multimodal medical imaging for cancer detection.
Neural Comput. Appl., October, 2023

Multi-view subspace clustering network with block diagonal and diverse representation.
Inf. Sci., May, 2023

Artificial Intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review.
Comput. Biol. Medicine, May, 2023

Constrained Generative Adversarial Learning for Dimensionality Reduction.
IEEE Trans. Knowl. Data Eng., March, 2023

Continual relation extraction via linear mode connectivity and interval cross training.
Knowl. Based Syst., March, 2023

Deep neural networks in the cloud: Review, applications, challenges and research directions.
Neurocomputing, 2023

Editorial: Deep neural networks with cloud computing.
Neurocomputing, 2023

Quantum-behaved particle swarm optimization with dynamic grouping searching strategy.
Intell. Data Anal., 2023

A hybrid quantum-behaved particle swarm optimization solution to non-convex economic load dispatch with multiple fuel types and valve-point effects.
Intell. Data Anal., 2023

Analyzing and controlling diversity in quantum-behaved particle swarm optimization.
CoRR, 2023

Deep Learning Based Forecasting of COVID-19 Hospitalisation in England: A Comparative Analysis.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Measure4dhand: Dynamic Hand Measurement Extraction from 4D Scans.
Proceedings of the IEEE International Conference on Image Processing, 2023

2022
Leveraging Arabic sentiment classification using an enhanced CNN-LSTM approach and effective Arabic text preparation.
J. King Saud Univ. Comput. Inf. Sci., November, 2022

Predicting the Public Adoption of Connected and Autonomous Vehicles.
IEEE Trans. Intell. Transp. Syst., 2022

An Effective Swarm Intelligence Optimization Algorithm for Flexible Ligand Docking.
IEEE ACM Trans. Comput. Biol. Bioinform., 2022

Rapid Localization and Mapping Method Based on Adaptive Particle Filters.
Sensors, 2022

Resilient Consensus Control Design for DC Microgrids against False Data Injection Attacks Using a Distributed Bank of Sliding Mode Observers.
Sensors, 2022

An integrated framework for diagnosing process faults with incomplete features.
Knowl. Inf. Syst., 2022

RDPSOVina: the random drift particle swarm optimization for protein-ligand docking.
J. Comput. Aided Mol. Des., 2022

Artificial Intelligence in Cars: How Close Yet Far Are We from Fully Autonomous Vehicles?
Int. J. Artif. Intell. Tools, 2022

An agent-based optimisation approach for vehicle routing problem with unique vehicle location and depot.
Expert Syst. Appl., 2022

R-WhONet: Recalibrated Wheel Odometry Neural Network for Vehicular Positioning using Transfer Learning.
CoRR, 2022

Attention Mechanism based Cognition-level Scene Understanding.
CoRR, 2022

Convolution neural networks for pothole detection of critical road infrastructure.
Comput. Electr. Eng., 2022

Parallel multi-swarm cooperative particle swarm optimization for protein-ligand docking and virtual screening.
BMC Bioinform., 2022

Word representation using refined contexts.
Appl. Intell., 2022

Improving the Pedestrian Detection Performance in the Absence of Rich Training Datasets: A UK Case Study.
Adv. Artif. Intell. Mach. Learn., 2022

Continuous Human Activity Recognition using Radar Imagery and Dynamic Time Warping.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021
Guest Editorial: Special Issue on Deep Representation and Transfer Learning for Smart and Connected Health.
IEEE Trans. Neural Networks Learn. Syst., 2021

Generative Adversarial Network-Based Scheme for Diagnosing Faults in Cyber-Physical Power Systems.
Sensors, 2021

Pedestrian and Vehicle Detection in Autonomous Vehicle Perception Systems - A Review.
Sensors, 2021

Centralised and Decentralised Sensor Fusion-Based Emergency Brake Assist.
Sensors, 2021

Deep neural network representation and Generative Adversarial Learning.
Neural Networks, 2021

Diversity collaboratively guided random drift particle swarm optimization.
Int. J. Mach. Learn. Cybern., 2021

MSLDOCK: Multi-Swarm Optimization for Flexible Ligand Docking and Virtual Screening.
J. Chem. Inf. Model., 2021

Attention-based word embeddings using Artificial Bee Colony algorithm for aspect-level sentiment classification.
Inf. Sci., 2021

A Quaternion Gated Recurrent Unit Neural Network for Sensor Fusion.
Inf., 2021

A hybrid framework for brain tissue segmentation in magnetic resonance images.
Int. J. Imaging Syst. Technol., 2021

A New Fuzzy Knowledge-based Optimisation System for Management of Container Yard Operations.
Int. J. Artif. Intell. Tools, 2021

WhONet: Wheel Odometry neural Network for vehicular localisation in GNSS-deprived environments.
Eng. Appl. Artif. Intell., 2021

WhONet: Wheel Odometry Neural Network for Vehicular Localisation in GNSS-Deprived Environments.
CoRR, 2021

Efficient activity recognition using lightweight CNN and DS-GRU network for surveillance applications.
Appl. Soft Comput., 2021

Adversarial Learning on Incomplete and Imbalanced Medical Data for Robust Survival Prediction of Liver Transplant Patients.
IEEE Access, 2021

Deep Neural Networks Based Approach for Pothole Detection.
Proceedings of the 4th International Conference on Signal Processing and Information Security, 2021

Using Generative Adversarial Networks and Non-Roadside Video Data to Generate Pedestrian Crossing Scenarios.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
Image Processing and Machine Learning Techniques for Diabetic Retinopathy Detection: A Review.
AI and ML for Digital Pathology, 2020

Fuzzy Image Processing and Deep Learning for Microaneurysms Detection.
AI and ML for Digital Pathology, 2020

Edge Intelligence-Assisted Smoke Detection in Foggy Surveillance Environments.
IEEE Trans. Ind. Informatics, 2020

DeepReS: A Deep Learning-Based Video Summarization Strategy for Resource-Constrained Industrial Surveillance Scenarios.
IEEE Trans. Ind. Informatics, 2020

An investigation on support vector clustering for big data in quantum paradigm.
Quantum Inf. Process., 2020

Neural network approach for solving nonlocal boundary value problems.
Neural Comput. Appl., 2020

Generative Adversarial Stacked Autoencoders.
CoRR, 2020

Self-Supervised Transformers for Activity Classification using Ambient Sensors.
CoRR, 2020

Learning to Localise Automated Vehicles in Challenging Environments using Inertial Navigation Systems (INS).
CoRR, 2020

Parts of Speech Tagging in NLP: Runtime Optimization with Quantum Formulation and ZX Calculus.
CoRR, 2020

Diversity-guided Lamarckian random drift particle swarm optimization for flexible ligand docking.
BMC Bioinform., 2020

Classification of a Pedestrian's Behaviour Using Dual Deep Neural Networks.
Proceedings of the Intelligent Computing, 2020

Emotion Recognition from Face Images in an Unconstrained Environment for usage on Social Robots.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Generative Adversarial Stacked Autoencoders for Facial Pose Normalization and Emotion Recognition.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Learning Uncertainties in Wheel Odometry for Vehicular Localisation in GNSS Deprived Environments.
Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019
An Effective Method of Weld Defect Detection and Classification Based on Machine Vision.
IEEE Trans. Ind. Informatics, 2019

An integrated approach for intrinsic plagiarism detection.
Future Gener. Comput. Syst., 2019

Robust structure low-rank representation in latent space.
Eng. Appl. Artif. Intell., 2019

An Investigation of Quantum Deep Clustering Framework with Quantum Deep SVM & Convolutional Neural Network Feature Extractor.
CoRR, 2019

A Roadmap for the Development of the 'SP Machine' for Artificial Intelligence.
Comput. J., 2019

Interactive machine learning: experimental evidence for the human in the algorithmic loop - A case study on Ant Colony Optimization.
Appl. Intell., 2019

Word Representation With Salient Features.
IEEE Access, 2019

Hierarchical Clustering Based Band Selection Algorithm for Hyperspectral Face Recognition.
IEEE Access, 2019

Distributed Contribution-Based Quantum-Behaved Particle Swarm Optimization With Controlled Diversity for Large-Scale Global Optimization Problems.
IEEE Access, 2019

Hierarchical Competition Framework for Particle Swarm Optimization.
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

Deep Q-Learning for Illumination and Rotation Invariant Face Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

Deep Convolutional Neural Networks for Text Localisation in Figures From Biomedical Literature.
Proceedings of the International Joint Conference on Neural Networks, 2019

Generation of Pedestrian Pose Structures using Generative Adversarial Networks.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Deep Learning for Flood Forecasting and Monitoring in Urban Environments.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Design of a Cost-Effective Deep Convolutional Neural Network-Based Scheme for Diagnosing Faults in Smart Grids.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

Collaborative diversity control strategy for random drift particle swarm optimization.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Deep Learning and Image Augmentation.
Proceedings of the Machine Learning and Knowledge Extraction, 2019

2018
An all-pair quantum SVM approach for big data multiclass classification.
Quantum Inf. Process., 2018

A hybrid deep learning neural approach for emotion recognition from facial expressions for socially assistive robots.
Neural Comput. Appl., 2018

Cellular Artificial Bee Colony algorithm with Gaussian distribution.
Inf. Sci., 2018

Editorial Message: Special Issue on Efficient Fuzzy Systems for Mining Large Scale, Imprecise, Uncertain and Vague Data.
Int. J. Fuzzy Syst., 2018

A Constrained Fuzzy Knowledge-Based System for the Management of Container Yard Operations.
Int. J. Fuzzy Syst., 2018

Robust Structured Low-Rank Representation for Image Segmentation.
Int. J. Artif. Intell. Tools, 2018

Extreme Learning Machine Based Prognostics of Battery Life.
Int. J. Artif. Intell. Tools, 2018

Sokoto Coventry Fingerprint Dataset.
CoRR, 2018

Big Data Quantum Support Vector Clustering.
CoRR, 2018

Editorial for Special Issue on "Hybrid Evolutionary and Swarm Techniques for Big Data Analytics and Applications".
Big Data Res., 2018

Heart Disease Diagnosis Based on Deep Radial Basis Function Kernel Machine.
EAI Endorsed Trans. Ambient Syst., 2018

A stacked deep autoencoder model for biomedical figure classification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Deep Learning for Illumination Invariant Facial Expression Recognition.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Learning for Real Time Facial Expression Recognition in Social Robots.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

Detailed Identification of Fingerprints Using Convolutional Neural Networks.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Detecting an Alteration in Biometric Fingerprint Databases.
Proceedings of the 2nd International Conference on Digital Signal Processing, 2018

Detection of Fingerprint Alterations Using Deep Convolutional Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Building a Dataset for Personalized Learning Recommendation System.
Proceedings of the 2018 International Conference on Advances in Computing, 2018

Recognizing Textual Entailment with Attentive Reading and Writing Operations.
Proceedings of the Database Systems for Advanced Applications, 2018

A Combined CNN and LSTM Model for Arabic Sentiment Analysis.
Proceedings of the Machine Learning and Knowledge Extraction, 2018

Improving Sentiment Analysis in Arabic Using Word Representation.
Proceedings of the IEEE 2nd International Workshop on Arabic and Derived Script Analysis and Recognition, 2018

Detection of Obstructive Sleep Apnea Using Deep Neural Network.
Proceedings of the Applications of Big Data Analytics, Trends, Issues, and Challenges., 2018

2017
Guest Editorial Special Issue on Fuzzy Techniques in Financial Modeling and Simulation.
IEEE Trans. Fuzzy Syst., 2017

Emergency management using geographic information systems: application to the first Romanian traveling salesman problem instance.
Knowl. Inf. Syst., 2017

Gaussian Kernel in Quantum Paradigm.
CoRR, 2017

A glass-box interactive machine learning approach for solving NP-hard problems with the human-in-the-loop.
CoRR, 2017

An All-Pair Approach for Big Data Multiclass Classification with Quantum SVM.
CoRR, 2017

Stacked deep convolutional auto-encoders for emotion recognition from facial expressions.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Adaptive incremental ensemble of extreme learning machines for fault diagnosis in induction motors.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Using Short URLs in Tweets to Improve Twitter Opinion Mining.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

A Personalized Learning Recommendation System Architecture for Learning Management System.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

Arabic language sentiment analysis on health services.
Proceedings of the 1st International Workshop on Arabic Script Analysis and Recognition, 2017

2016
Automatic detection of microaneurysms in colour fundus images for diabetic retinopathy screening.
Neural Comput. Appl., 2016

Artificial intelligence techniques in product engineering.
Eng. Appl. Artif. Intell., 2016

Combining graph embedding and sparse regression with structure low-rank representation for semi-supervised learning.
Complex Adapt. Syst. Model., 2016

Automatic screening and classification of diabetic retinopathy and maculopathy using fuzzy image processing.
Brain Informatics, 2016

Manifold locality constrained low-rank representation and its applications.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Deep Learning for Emotion Recognition in Faces.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Emotion Recognition Using Facial Expression Images for a Robotic Companion.
Proceedings of the Engineering Applications of Neural Networks, 2016

An Integrated Machine Learning Approach for Extrinsic Plagiarism Detection.
Proceedings of the 9th International Conference on Developments in eSystems Engineering, 2016

Towards interactive Machine Learning (iML): Applying Ant Colony Algorithms to Solve the Traveling Salesman Problem with the Human-in-the-Loop Approach.
Proceedings of the Availability, Reliability, and Security in Information Systems, 2016

2015
Adaptive Web QoS controller based on online system identification using quantum-behaved particle swarm optimization.
Soft Comput., 2015

Invasive weed classification.
Neural Comput. Appl., 2015

Random drift particle swarm optimization algorithm: convergence analysis and parameter selection.
Mach. Learn., 2015

Uncovering highly obfuscated plagiarism cases using fuzzy semantic-based similarity model.
J. King Saud Univ. Comput. Inf. Sci., 2015

Evolutionary sampling: A novel way of machine learning within a probabilistic framework.
Inf. Sci., 2015

Proposal for the creation of a research facility for the development of the SP machine.
CoRR, 2015

Diagnosis of Bearing Defects in Induction Motors by Fuzzy-Neighborhood Density-Based Clustering.
Proceedings of the 14th IEEE International Conference on Machine Learning and Applications, 2015

Automatic Detection of Microaneurysms for Diabetic Retinopathy Screening Using Fuzzy Image Processing.
Proceedings of the Engineering Applications of Neural Networks, 2015

Detection of Diabetic Retinopathy and Maculopathy in Eye Fundus Images Using Fuzzy Image Processing.
Proceedings of the Brain Informatics and Health - 8th International Conference, 2015

Towards Integrative Machine Learning and Knowledge Extraction.
Proceedings of the Towards Integrative Machine Learning and Knowledge Extraction, 2015

2014
Darwin or Lamarck? Future Challenges in Evolutionary Algorithms for Knowledge Discovery and Data Mining.
Proceedings of the Interactive Knowledge Discovery and Data Mining in Biomedical Informatics, 2014

Solving the Power Economic Dispatch Problem With Generator Constraints by Random Drift Particle Swarm Optimization.
IEEE Trans. Ind. Informatics, 2014

Multiple Sequence Alignment with HiddenMarkov Models Learned by Random DriftParticle Swarm Optimization.
IEEE ACM Trans. Comput. Biol. Bioinform., 2014

Computational intelligence techniques for new product development.
Neurocomputing, 2014

Efficient residuals pre-processing for diagnosing multi-class faults in a doubly fed induction generator, under missing data scenarios.
Expert Syst. Appl., 2014

Biochemical systems identification by a random drift particle swarm optimization approach.
BMC Bioinform., 2014

Editorial: Special issue on hybrid intelligent methods for health technologies.
Appl. Soft Comput., 2014

Darwin, Lamarck, or Baldwin: Applying Evolutionary Algorithms to Machine Learning Techniques.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Optimal detection of new classes of faults by an Invasive Weed Optimization method.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Automatic Screening and Classification of Diabetic Retinopathy Fundus Images.
Proceedings of the Engineering Applications of Neural Networks, 2014

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

Dense Structural Expectation maximisation with Parallelisation for Efficient Large-Network Structural Inference.
Int. J. Artif. Intell. Tools, 2013

Random Drift Particle Swarm Optimization.
CoRR, 2013

2012
Selection of Significant On-Road Sensor Data for Short-Term Traffic Flow Forecasting Using the Taguchi Method.
IEEE Trans. Ind. Informatics, 2012

Adjusted Geometric-mean: a Novel Performance Measure for Imbalanced Bioinformatics Datasets Learning.
J. Bioinform. Comput. Biol., 2012

Using structural information and citation evidence to detect significant plagiarism cases in scientific publications.
J. Assoc. Inf. Sci. Technol., 2012

Convergence analysis and improvements of quantum-behaved particle swarm optimization.
Inf. Sci., 2012

Tracking Multiple Optima in Dynamic Environments by Quantum-Behavior Particle Swarm Using Speciation.
Int. J. Swarm Intell. Res., 2012

Quantum-Behaved Particle Swarm Optimization: Analysis of Individual Particle Behavior and Parameter Selection.
Evol. Comput., 2012

Training ANFIS Parameters with a Quantum-behaved Particle Swarm Optimization Algorithm.
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012

Study on the compression-expansion coefficient in drift particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
A Customizable Fuzzy System for Offline Handwritten Character Recognition.
Int. J. Artif. Intell. Tools, 2011

Ensemble of Elman neural networks and support vector machines for reverse engineering of gene regulatory networks.
Appl. Soft Comput., 2011

Quantum-behaved particle swarm optimization with Gaussian distributed local attractor point.
Appl. Math. Comput., 2011

Web Ad-Slot Offline Scheduling Using an Ant Colony Algorithm.
Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

2010
FSVM-CIL: Fuzzy Support Vector Machines for Class Imbalance Learning.
IEEE Trans. Fuzzy Syst., 2010

Efficient resampling methods for training support vector machines with imbalanced datasets.
Proceedings of the International Joint Conference on Neural Networks, 2010

On a Multiobjective Training Algorithm for RBF Networks Using Particle Swarm Optimization.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

GreenSim: A Network Simulator for Comprehensively Validating and Evaluating New Machine Learning Techniques for Network Structural Inference.
Proceedings of the 22nd IEEE International Conference on Tools with Artificial Intelligence, 2010

Ensembles of classifiers and their aplication to bioinformatics problems.
Proceedings of the IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS 2010), 2010

Multi-objective evolutionary algorithms based Interpretable Fuzzy models for microarray gene expression data analysis.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine, 2010

2009
Machine Learning and Genetic Regulatory Networks: A Review and a Roadmap.
Proceedings of the Foundations of Computational Intelligence, 2009

Signal denoising in engineering problems through the minimum gradient method.
Neurocomputing, 2009

Model-based fault detection and isolation of a steam generator using neuro-fuzzy networks.
Neurocomputing, 2009

<i>microPred</i>: effective classification of pre-miRNAs for human miRNA gene prediction.
Bioinform., 2009

Evaluating Clustering Algorithms for Genetic Regulatory Network Structural Inference.
Proceedings of the Research and Development in Intelligent Systems XXVI, 2009

A New Performance Measure for Class Imbalance Learning. Application to Bioinformatics Problems.
Proceedings of the International Conference on Machine Learning and Applications, 2009

2008
Adaptive Web Sites - A Knowledge Extraction from Web Data Approach
Frontiers in Artificial Intelligence and Applications 170, IOS Press, ISBN: 978-1-58603-831-1, 2008

The Q -Norm Complexity Measure and the Minimum Gradient Method: A Novel Approach to the Machine Learning Structural Risk Minimization Problem.
IEEE Trans. Neural Networks, 2008

Filtering Noise in Regression Problems Using a Multiobjective Learning Algorithm.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

An improved non-comparative classification method for human microRNA gene prediction.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
A Neuro-Genetic Framework for Multi-Classifier Design: An Application to Promoter Recognition in DNA Sequences.
Proceedings of the Advances in Evolutionary Computing for System Design, 2007

A Knowledge Base for the maintenance of knowledge extracted from web data.
Knowl. Based Syst., 2007

Building a Knowledge Base for Implementing a Web-Based Computerized Recommendation System.
Int. J. Artif. Intell. Tools, 2007

Neural Network Prediction of the Roll Motion of a Ship for Intelligent Course Control.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2007

Genetic Algorithm Approach to Construction of Specialized Multi-Classifier Systems: Application to DNA Analysis.
Proceedings of the Frontiers in the Convergence of Bioscience and Information Technologies 2007, 2007

A Comprehensive Fuzzy-Based Framework for Cancer Microarray Data Gene Expression Analysis.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Genetic algorithm convergence analysis using a unified representation of genes and the hamming distance.
Int. J. Knowl. Based Intell. Eng. Syst., 2006

Multi-Classifier Systems: Review and a roadmap for developers.
Int. J. Hybrid Intell. Syst., 2006

Testing Online Navigation Recommendations in a Web Site.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2006

Optimized Precision - A New Measure for Classifier Performance Evaluation.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
A neural network based multi-classifier system for gene identification in DNA sequences.
Neural Comput. Appl., 2005

Practical applications of neural networks.
Neural Comput. Appl., 2005

Human-like fault diagnosis using a neural network implementation of plausibility and relevance.
Neural Comput. Appl., 2005

Automatic fuzzy rule base generation for on-line handwritten alphanumeric character recognition.
Int. J. Knowl. Based Intell. Eng. Syst., 2005

Fuzzy-based Refinement of the Fault Diagnosis Task in Industrial Devices.
J. Intell. Manuf., 2005

Computational Intelligence - Engineering of Hybrid Systems
Studies in Fuzziness and Soft Computing 174, Springer, ISBN: 978-3-540-23219-3, 2005

2004
Neural network based optimal control of a biosynthesis process.
Int. J. Knowl. Based Intell. Eng. Syst., 2004

Engineering applications of computational intelligence.
J. Intell. Fuzzy Syst., 2004

A novel fuzzy classification solution for fault diagnosis.
J. Intell. Fuzzy Syst., 2004

Editorial First Issue.
Int. J. Hybrid Intell. Syst., 2004

Blind Separation Of Mixed Kurtosis Signed Signals Using Partial Observations And Low Complexity Activation Functions.
Int. J. Comput. Intell. Appl., 2004

MultiNNProm: A Multi-Classifier System for Finding Genes.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004

An Efficient Fuzzy Method for Handwritten Character Recognition.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Refinement of the Diagnosis Process Performed with a Fuzzy Classifier.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

Diagnosing the Population State in a Genetic Algorithm Using Hamming Distance.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

2003
A neuro-fuzzy approach for functional genomics data interpretation and analysis.
Neural Comput. Appl., 2003

Intelligent Optimal Control of a Biosynthesis Process Using a Neural Network Based Estimator.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

Low Complexity Functions for Stationary Independent Component Mixtures.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

2002
Neural and Neuro-Fuzzy Integration in a Knowledge-Based System for Air Quality Prediction.
Appl. Intell., 2002

Modular Neuro-Fuzzy Networks Used in Explicit and Implicit Knowledge Integration.
Proceedings of the Fifteenth International Florida Artificial Intelligence Research Society Conference, 2002

2001
Interpretation of Trained Neural Networks by Rule Extraction.
Proceedings of the Computational Intelligence, 2001

2000
Rule extraction from neural networks by interval propagation.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

Neural explicit and implicit knowledge representation.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

1999
An improved inverse neural control structure for nonlinear dynamic systems.
Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, 1999

Fuzzy Computing in a MultiPurpose Neural Network Implementation.
Proceedings of the Computational Intelligence, 1999

1998
A method for compiling neural networks into fuzzy rules using genetic algorithms and hierarchical approach.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998


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