A Comparing Method of Two Team Behaviours in the Simulation Coach Competition. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (MDAI, 2006)

Sequence Classification Using Statistical Pattern Recognition. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (IDA, 2007)

An Efficient Behavior Classifier based on Distributions of Relevant Events. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis; Gal A. Kaminka (ECAI, 2008)

Verifying Robocup Teams. - Clara Benac Earle; Lars-Åke Fredlund; José Antonio Iglesias 001; Agapito Ledezma (MoChArt, 2008)

The Winning Advantage: Using Opponent Models in Robot Soccer. - José Antonio Iglesias 001; Juan Antonio Fernández; Ignacio Ramon Villena; Agapito Ledezma; Araceli Sanchis (IDEAL, 2009)

Creating User Profiles from a Command-Line Interface: A Statistical Approach. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (UMAP, 2009)

CAOS Coach 2006 Simulation Team: An Opponent Modelling Approach. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (Comput. Informatics, 2009)

Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (ECAI, 2010)

User modeling: Through statistical analysis and an evolving classifier. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (FUZZ-IEEE, 2010)

Evolving classification of agents' behaviors: a general approach. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (Evol. Syst., 2010)

Human Activity Recognition Based on Evolving Fuzzy Systems. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (Int. J. Neural Syst., 2010)

Evolving human activity classifier from sensor streams. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (EAIS, 2011)

A plan classifier based on Chi-square distribution tests. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis; Gal A. Kaminka (Intell. Data Anal., 2011)

User modeling in changeable environments. - José Antonio Iglesias 001; Esteban García-Cuesta (EAIS, 2012)

Evolving activity recognition from sensor streams. - José Antonio Iglesias 001; Francisco Javier Ordóñez; Agapito Ledezma; Paula de Toledo; Araceli Sanchis (EAIS, 2012)

User modeling: Through statistical analysis and subspace learning. - Esteban García-Cuesta; José Antonio Iglesias 001 (Expert Syst. Appl., 2012)

Data Mining for User Modeling. - José Antonio Iglesias Martínez; Agapito Ledezma Espino; Araceli Sanchis de Miguel (Int. J. Organ. Collect. Intell., 2012)

Creating Evolving User Behavior Profiles Automatically. - José Antonio Iglesias 001; Plamen Angelov 001; Agapito Ledezma; Araceli Sanchis (IEEE Trans. Knowl. Data Eng., 2012)

Ensemble method based on individual evolving classifiers. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (EAIS, 2013)

Evolving systems for computer user behavior classification. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (EAIS, 2013)

Online activity recognition using evolving classifiers. - Francisco Javier Ordóñez; José Antonio Iglesias 001; Paula de Toledo; Agapito Ledezma; Araceli Sanchis (Expert Syst. Appl., 2013)

A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers. - David Griol; José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (EAIS, 2014)

Time series forecasting using Artificial Neural Networks vs. evolving models. - José Antonio Iglesias 001; Germán Gutiérrez; Agapito Ledezma; Araceli Sanchis (EAIS, 2014)

Influence of the data codification when applying evolving classifiers to develop spoken dialog systems. - José Antonio Iglesias 001; David Griol; Agapito Ledezma; Araceli Sanchis (EALS, 2014)

An ensemble method based on evolving classifiers: eStacking. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (EALS, 2014)

A recurrent meta-cognitive-based Scaffolding classifier from data streams. - Mahardhika Pratama; Jie Lu 001; Sreenatha G. Anavatti; José Antonio Iglesias 001 (EALS, 2014)

Agent-based framework for Advanced Driver Assistance Systems in urban environments. - Germán Gutiérrez; José Antonio Iglesias 001; Francisco Javier Ordóñez; Agapito Ledezma; Araceli Sanchis (FUSION, 2014)

News Mining Using Evolving Fuzzy Systems. - José Antonio Iglesias 001; Alexandra Tiemblo; Agapito Ismael Ledezma Espino; Araceli Sanchis (IDEAL, 2014)

Intelligent Promotions Recommendation System for Instaprom Platform. - Marcos Martín Pozo; José Antonio Iglesias 001; Agapito Ismael Ledezma Espino (IDEAL, 2014)

A Practical Application of Evolving Fuzzy-Rule-Based Classifiers for the Development of Spoken Dialog Systems. - David Griol; José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (AIAI, 2014)

Evolving classification of UNIX users' behaviors. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (Evol. Syst., 2014)

Applications, results and future direction (EAIS 12). - José Antonio Iglesias 001; Igor Skrjanc (Evol. Syst., 2014)

Special issue: applications, results & future direction (EAIS 12): 2. - José Antonio Iglesias Martínez; Igor Skrjanc (Evol. Syst., 2014)

Preface. - Moamar Sayed-Mouchaweh; Anthony Fleury; Plamen Angelov 001; Edwin Lughofer; José Antonio Iglesias 001 (EAIS, 2015)

Evolving Classifier TEDAClass for Big Data. - Dmitry Kangin; Plamen Angelov 001; José Antonio Iglesias 001; Araceli Sanchis (INNS Conference on Big Data, 2015)

Autonomous Data Density based clustering method. - Plamen P. Angelov; Xiaowei Gu 001; Germán Gutiérrez; José Antonio Iglesias 001; Araceli Sanchis (IJCNN, 2016)

Parallel Computing TEDA for High Frequency Streaming Data Clustering. - Xiaowei Gu 001; Plamen P. Angelov; Germán Gutiérrez; José Antonio Iglesias 001; Araceli Sanchis (INNS Conference on Big Data, 2016)

Social network analysis: Evolving Twitter mining. - José Antonio Iglesias 001; Aaron Garcia-Cuerva; Agapito Ledezma; Araceli Sanchis (SMC, 2016)

A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems. - David Griol; José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (Int. J. Neural Syst., 2016)

Web news mining in an evolving framework. - José Antonio Iglesias 001; Alexandra Tiemblo; Agapito Ledezma; Araceli Sanchis (Inf. Fusion, 2016)

Autonomously evolving classifier TEDAClass. - Dmitry Kangin; Plamen Angelov 001; José Antonio Iglesias 001 (Inf. Sci., 2016)

Monitoring of vulcano Puracé through seismic signals: Description of a real dataset. - Jose Eduardo Gomez; David Camilo Corrales; Juan Carlos Corrales; Araceli Sanchis; Agapito Ledezma; José Antonio Iglesias 001 (EAIS, 2017)

Evolving Cauchy possibilistic clustering based on cosine similarity for monitoring cyber systems. - Igor Skrjanc; Araceli Sanchis de Miguel; José Antonio Iglesias 001; Agapito Ledezma; Dejan Dovzan (EAIS, 2017)

Volcanic Anomalies Detection Through Recursive Density Estimation. - Jose Eduardo Gomez; David Camilo Corrales; Emmanuel Lasso; José Antonio Iglesias 001; Juan Carlos Corrales (MICAI (1), 2018)

Opponent Modeling in RoboCup Soccer Simulation. - José Antonio Iglesias 001; Agapito Ledezma; Araceli Sanchis (WAF, 2018)

Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery. - Jesus A. Carino; Miguel Delgado Prieto; José Antonio Iglesias 001; Araceli Sanchis; Daniel Zurita; Marta Millán; Juan Antonio Ortega Redondo; René de Jesús Romero-Troncoso (IEEE Access, 2018)

Evolving cloud-based system for the recognition of drivers' actions. - Igor Skrjanc; Goran Andonovski; Agapito Ledezma; Oscar Sipele; José Antonio Iglesias 001; Araceli Sanchis (Expert Syst. Appl., 2018)

Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey. - Igor Skrjanc; José Antonio Iglesias 001; Araceli Sanchis; Daniel F. Leite; Edwin Lughofer; Fernando A. C. Gomide (Inf. Sci., 2019)

Rule-based expert system for detection of coffee rust warnings in colombian crops. - Edwar Javier Giron Buitron; David Camilo Corrales; Jacques Avelino; José Antonio Iglesias 001; Juan Carlos Corrales (J. Intell. Fuzzy Syst., 2019)

A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners. - José Antonio Iglesias Martínez; María Paz Sesmero Lorente; Elena Magán López; Agapito Ledezma Espino; Araceli Sanchis de Miguel (EAIS, 2020)

Detection of driver maneuvers using evolving fuzzy cloud-based system. - Goran Andonovski; Oscar Sipele; José Antonio Iglesias 001; Araceli Sanchis; Edwin Lughofer; Igor Skrjanc (SSCI, 2020)

Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View. - Alejandro Barrera; Jorge Beltrán; Carlos Guindel; José Antonio Iglesias 001; Fernando García 002 (ITSC, 2021)

BirdNet+: Two-Stage 3D Object Detection in LiDAR Through a Sparsity-Invariant Bird's Eye View. - Alejandro Barrera; Jorge Beltrán; Carlos Guindel; José Antonio Iglesias 001; Fernando García 002 (IEEE Access, 2021)

Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles. - M. Paz Sesmero Lorente; José Antonio Iglesias 001; Elena Magán; Agapito Ledezma; Araceli Sanchis (Appl. Soft Comput., 2021)

Contrastive Learning for Simulation-to-Real Domain Adaptation of LiDAR Data. - Alejandro Barrera; Fernando García 002; José Antonio Iglesias 001 (EUROCAST, 2022)

Evolving Gaussian on-line clustering in social network analysis. - Igor Skrjanc; Goran Andonovski; José Antonio Iglesias 001; María Paz Sesmero; Araceli Sanchis (Expert Syst. Appl., 2022)

Synthetic samples generator (SYSGEN), an approach to increase the size of incidence samples in coffee leaf rust modelling. - Edwar Javier Giron Buitron; David Camilo Corrales; María Paz Sesmero; José Antonio Iglesias 001; Juan Carlos Corrales (Evol. Syst., 2022)

Generation and Evaluation of Medical Images Based on Diffusion Models. - José Antonio Iglesias 001; José María Monterrubio; María Paz Sesmero; Araceli Sanchis (EAIS, 2024)

Simulation-based evaluation of model-free reinforcement learning algorithms for quadcopter attitude control and trajectory tracking. - Pablo Caffyn Yuste; José Antonio Iglesias Martínez; María Araceli Sanchis de Miguel (Neurocomputing, 2024)

Analyzing Model Behavior for Driver Emotion Recognition and Drowsiness Detection Using Explainable Artificial Intelligence. - Diego Caballero García-Alcaide; María Paz Sesmero; José A. Iglesias 001; Araceli Sanchis (VEHITS, 2025)

Unsupervised discovery of 3D structural elements for scanned indoor scenes. - Milos Antic; Andrej Zdesar; José Antonio Iglesias 001; Araceli Sanchis; Igor Skrjanc (Appl. Soft Comput., 2025)