José Antonio Iglesias

María Paz Sesmero

Evol. Syst., 2022

Evolving Gaussian on-line clustering in social network analysis.

[BibT_eX]

[DOI]

Goran Andonovski

María Paz Sesmero

Expert Syst. Appl., 2022

Contrastive Learning for Simulation-to-Real Domain Adaptation of LiDAR Data.

[BibT_eX]

[DOI]

Alejandro Barrera

Fernando García

Proceedings of the Computer Aided Systems Theory - EUROCAST 2022, 2022

2021

Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles.

[BibT_eX]

[DOI]

M. Paz Sesmero Lorente

Elena Magán

Appl. Soft Comput., 2021

BirdNet+: Two-Stage 3D Object Detection in LiDAR Through a Sparsity-Invariant Bird's Eye View.

[BibT_eX]

[DOI]

Alejandro Barrera

Jorge Beltrán

Carlos Guindel

Fernando García

IEEE Access, 2021

Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View.

[BibT_eX]

[DOI]

Alejandro Barrera

Jorge Beltrán

Carlos Guindel

Fernando García

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Detection of driver maneuvers using evolving fuzzy cloud-based system.

[BibT_eX]

[DOI]

Goran Andonovski

Oscar Sipele

Edwin Lughofer

José Antonio Iglesias Martinez

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners.

[BibT_eX]

[DOI]

María Paz Sesmero Lorente

Elena Magán López

Agapito Ledezma Espino

Araceli Sanchis de Miguel

Proceedings of the 2020 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2020

2019

Rule-based expert system for detection of coffee rust warnings in colombian crops.

[BibT_eX]

[DOI]

Edwar Javier Giron Buitron

Jacques Avelino

J. Intell. Fuzzy Syst., 2019

Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey.

[BibT_eX]

[DOI]

Daniel F. Leite

Edwin Lughofer

Fernando A. C. Gomide

Inf. Sci., 2019

2018

Evolving cloud-based system for the recognition of drivers' actions.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2018

Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery.

[BibT_eX]

[DOI]

Jesus A. Carino

Miguel Delgado Prieto

Juan Antonio Ortega Redondo

Daniel Zurita

Marta Millán

René de Jesús Romero-Troncoso

IEEE Access, 2018

Opponent Modeling in RoboCup Soccer Simulation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Physical Agents, 2018

Volcanic Anomalies Detection Through Recursive Density Estimation.

[BibT_eX]

[DOI]

Jose Eduardo Gomez

Emmanuel Lasso

Proceedings of the Advances in Soft Computing, 2018

2017

Evolving Cauchy possibilistic clustering based on cosine similarity for monitoring cyber systems.

[BibT_eX]

[DOI]

Araceli Sanchis de Miguel

Dejan Dovzan

Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

Monitoring of vulcano Puracé through seismic signals: Description of a real dataset.

[BibT_eX]

[DOI]

Jose Eduardo Gomez

Proceedings of the 2017 Evolving and Adaptive Intelligent Systems, 2017

2016

Autonomously evolving classifier TEDAClass.

[BibT_eX]

[DOI]

Dmitry Kangin

Plamen Angelov

Inf. Sci., 2016

Web news mining in an evolving framework.

[BibT_eX]

[DOI]

Alexandra Tiemblo

Inf. Fusion, 2016

A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2016

Social network analysis: Evolving Twitter mining.

[BibT_eX]

[DOI]

Aaron Garcia-Cuerva

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

Parallel Computing TEDA for High Frequency Streaming Data Clustering.

[BibT_eX]

[DOI]

Xiaowei Gu

Proceedings of the Advances in Big Data, 2016

Autonomous Data Density based clustering method.

[BibT_eX]

[DOI]

Xiaowei Gu

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Evolving Classifier TEDAClass for Big Data.

[BibT_eX]

[DOI]

Dmitry Kangin

Proceedings of the INNS Conference on Big Data 2015, 2015

Preface.

[BibT_eX]

[DOI]

Moamar Sayed Mouchaweh

Anthony Fleury

Edwin Lughofer

José Antonio Iglesias Martinez

Proceedings of the 2015 IEEE International Conference on Evolving and Adaptive Intelligent Systems, 2015

2014

Special issue: applications, results & future direction (EAIS 12): 2.

[BibT_eX]

[DOI]

Evol. Syst., 2014

Applications, results and future direction (EAIS 12).

[BibT_eX]

[DOI]

Evol. Syst., 2014

Evolving classification of UNIX users' behaviors.

[BibT_eX]

[DOI]

Evol. Syst., 2014

A Practical Application of Evolving Fuzzy-Rule-Based Classifiers for the Development of Spoken Dialog Systems.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence Applications and Innovations, 2014

Intelligent Promotions Recommendation System for Instaprom Platform.

[BibT_eX]

[DOI]

Marcos Martín Pozo

Agapito Ismael Ledezma Espino

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

News Mining Using Evolving Fuzzy Systems.

[BibT_eX]

[DOI]

Agapito Ismael Ledezma Espino

Alexandra Tiemblo

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

Agent-based framework for Advanced Driver Assistance Systems in urban environments.

[BibT_eX]

[DOI]

Francisco Javier Ordóñez

Proceedings of the 17th International Conference on Information Fusion, 2014

A recurrent meta-cognitive-based Scaffolding classifier from data streams.

[BibT_eX]

[DOI]

Mahardhika Pratama

Jie Lu

Sreenatha G. Anavatti

Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014

An ensemble method based on evolving classifiers: eStacking.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014

Influence of the data codification when applying evolving classifiers to develop spoken dialog systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Evolving and Autonomous Learning Systems, 2014

Time series forecasting using Artificial Neural Networks vs. evolving models.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2014

2013

Online activity recognition using evolving classifiers.

[BibT_eX]

[DOI]

Francisco Javier Ordóñez

Paula de Toledo

Expert Syst. Appl., 2013

Evolving systems for computer user behavior classification.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

Ensemble method based on individual evolving classifiers.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

2012

Creating Evolving User Behavior Profiles Automatically.

[BibT_eX]

[DOI]

José Antonio Iglesias Martinez

IEEE Trans. Knowl. Data Eng., 2012

Data Mining for User Modeling.

[BibT_eX]

[DOI]

Agapito Ledezma Espino

Araceli Sanchis de Miguel

Int. J. Organ. Collect. Intell., 2012

User modeling: Through statistical analysis and subspace learning.

[BibT_eX]

[DOI]

Esteban García-Cuesta

Expert Syst. Appl., 2012

Evolving activity recognition from sensor streams.

[BibT_eX]

[DOI]

Francisco Javier Ordóñez

Paula de Toledo

Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

User modeling in changeable environments.

[BibT_eX]

[DOI]

Esteban García-Cuesta

Proceedings of the 2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2012

2011

A plan classifier based on Chi-square distribution tests.

[BibT_eX]

[DOI]

Gal A. Kaminka

Intell. Data Anal., 2011

Evolving human activity classifier from sensor streams.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE Workshop on Evolving and Adaptive Intelligent Systems, 2011

2010

Human Activity Recognition Based on Evolving Fuzzy Systems.

[BibT_eX]

[DOI]

Int. J. Neural Syst., 2010

Evolving classification of agents' behaviors: a general approach.

[BibT_eX]

[DOI]

Evol. Syst., 2010

User modeling: Through statistical analysis and an evolving classifier.

[BibT_eX]

[DOI]

Proceedings of the FUZZ-IEEE 2010, 2010

Human Activity Recognition in Intelligent Home Environments: An Evolving Approach.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2010, 2010

2009

CAOS Coach 2006 Simulation Team: An Opponent Modelling Approach.

[BibT_eX]

[DOI]

Comput. Informatics, 2009

Creating User Profiles from a Command-Line Interface: A Statistical Approach.

[BibT_eX]

[DOI]

Proceedings of the User Modeling, 2009

The Winning Advantage: Using Opponent Models in Robot Soccer.

[BibT_eX]

[DOI]

Juan Antonio Fernández

Ignacio Ramon Villena

Proceedings of the Intelligent Data Engineering and Automated Learning, 2009

2008

Verifying Robocup Teams.

[BibT_eX]

[DOI]

Clara Benac Earle

Lars-Åke Fredlund

Proceedings of the Model Checking and Artificial Intelligence, 5th International Workshop, 2008

An Efficient Behavior Classifier based on Distributions of Relevant Events.

[BibT_eX]

[DOI]

Gal A. Kaminka

Proceedings of the ECAI 2008, 2008

2007

Sequence Classification Using Statistical Pattern Recognition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Intelligent Data Analysis VII, 2007

2006

A Comparing Method of Two Team Behaviours in the Simulation Coach Competition.

[BibT_eX]

[DOI]