José Antonio Iglesias

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 24

Top Topics

Diffusion Model

Social Network Analysis

Top Venues

Publications

José Antonio Iglesias, José María Monterrubio, María Paz Sesmero, Araceli Sanchis
Generation and Evaluation of Medical Images Based on Diffusion Models. EAIS (2024)
Edwar Javier Giron Buitron, David Camilo Corrales, María Paz Sesmero, José Antonio Iglesias, Juan Carlos Corrales
Synthetic samples generator (SYSGEN), an approach to increase the size of incidence samples in coffee leaf rust modelling. Evol. Syst. 13 (4) (2022)
Igor Skrjanc, Goran Andonovski, José Antonio Iglesias, María Paz Sesmero, Araceli Sanchis
Evolving Gaussian on-line clustering in social network analysis. Expert Syst. Appl. 207 (2022)
Alejandro Barrera, Jorge Beltrán, Carlos Guindel, José Antonio Iglesias, Fernando García
Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View. CoRR (2021)
Alejandro Barrera, Jorge Beltrán, Carlos Guindel, José Antonio Iglesias, Fernando García
BirdNet+: Two-Stage 3D Object Detection in LiDAR Through a Sparsity-Invariant Bird's Eye View. IEEE Access 9 (2021)
M. Paz Sesmero Lorente, José Antonio Iglesias, Elena Magán, Agapito Ledezma, Araceli Sanchis
Impact of the learners diversity and combination method on the generation of heterogeneous classifier ensembles. Appl. Soft Comput. 111 (2021)
Alejandro Barrera, Jorge Beltrán, Carlos Guindel, José Antonio Iglesias, Fernando García
Cycle and Semantic Consistent Adversarial Domain Adaptation for Reducing Simulation-to-Real Domain Shift in LiDAR Bird's Eye View. ITSC (2021)
Goran Andonovski, Oscar Sipele, José Antonio Iglesias, Araceli Sanchis, Edwin Lughofer, Igor Skrjanc
Detection of driver maneuvers using evolving fuzzy cloud-based system. SSCI (2020)
Edwar Javier Giron Buitron, David Camilo Corrales, Jacques Avelino, José Antonio Iglesias, Juan Carlos Corrales
Rule-based expert system for detection of coffee rust warnings in colombian crops. J. Intell. Fuzzy Syst. 36 (5) (2019)
Igor Skrjanc, José Antonio Iglesias, Araceli Sanchis, Daniel F. Leite, Edwin Lughofer, Fernando A. C. Gomide
Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey. Inf. Sci. 490 (2019)
Igor Skrjanc, Goran Andonovski, Agapito Ledezma, Oscar Sipele, José Antonio Iglesias, Araceli Sanchis
Evolving cloud-based system for the recognition of drivers' actions. Expert Syst. Appl. 99 (2018)
Jesus A. Carino, Miguel Delgado Prieto, José Antonio Iglesias, Araceli Sanchis, Daniel Zurita, Marta Millán, Juan Antonio Ortega Redondo, René de Jesús Romero-Troncoso
Fault Detection and Identification Methodology Under an Incremental Learning Framework Applied to Industrial Machinery. IEEE Access 6 (2018)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
Opponent Modeling in RoboCup Soccer Simulation. WAF (2018)
Jose Eduardo Gomez, David Camilo Corrales, Emmanuel Lasso, José Antonio Iglesias, Juan Carlos Corrales
Volcanic Anomalies Detection Through Recursive Density Estimation. MICAI (1) (2018)
Igor Skrjanc, Araceli Sanchis de Miguel, José Antonio Iglesias, Agapito Ledezma, Dejan Dovzan
Evolving Cauchy possibilistic clustering based on cosine similarity for monitoring cyber systems. EAIS (2017)
Jose Eduardo Gomez, David Camilo Corrales, Juan Carlos Corrales, Araceli Sanchis, Agapito Ledezma, José Antonio Iglesias
Monitoring of vulcano Puracé through seismic signals: Description of a real dataset. EAIS (2017)
José Antonio Iglesias, Alexandra Tiemblo, Agapito Ledezma, Araceli Sanchis
Web news mining in an evolving framework. Inf. Fusion 28 (2016)
David Griol, José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
A Two-Stage Combining Classifier Model for the Development of Adaptive Dialog Systems. Int. J. Neural Syst. 26 (1) (2016)
Xiaowei Gu, Plamen P. Angelov, Germán Gutiérrez, José Antonio Iglesias, Araceli Sanchis
Parallel Computing TEDA for High Frequency Streaming Data Clustering. INNS Conference on Big Data (2016)
José Antonio Iglesias, Aaron Garcia-Cuerva, Agapito Ledezma, Araceli Sanchis
Social network analysis: Evolving Twitter mining. SMC (2016)
Dmitry Kangin, Plamen Angelov, José Antonio Iglesias
Autonomously evolving classifier TEDAClass. Inf. Sci. 366 (2016)
Plamen P. Angelov, Xiaowei Gu, Germán Gutiérrez, José Antonio Iglesias, Araceli Sanchis
Autonomous Data Density based clustering method. IJCNN (2016)
Moamar Sayed Mouchaweh, Anthony Fleury, Plamen P. Angelov, Edwin Lughofer, José Antonio Iglesias
Preface. EAIS (2015)
Dmitry Kangin, Plamen P. Angelov, José Antonio Iglesias, Araceli Sanchis
Evolving Classifier TEDAClass for Big Data. INNS Conference on Big Data (2015)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
An ensemble method based on evolving classifiers: eStacking. EALS (2014)
José Antonio Iglesias, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis
Time series forecasting using Artificial Neural Networks vs. evolving models. EAIS (2014)
David Griol, José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
A Practical Application of Evolving Fuzzy-Rule-Based Classifiers for the Development of Spoken Dialog Systems. AIAI (2014)
José Antonio Iglesias, Igor Skrjanc
Applications, results and future direction (EAIS 12). Evol. Syst. 5 (1) (2014)
Marcos Martín Pozo, José Antonio Iglesias, Agapito Ismael Ledezma Espino
Intelligent Promotions Recommendation System for Instaprom Platform. IDEAL (2014)
Germán Gutiérrez, José Antonio Iglesias, Francisco Javier Ordóñez, Agapito Ledezma, Araceli Sanchis
Agent-based framework for Advanced Driver Assistance Systems in urban environments. FUSION (2014)
José Antonio Iglesias, David Griol, Agapito Ledezma, Araceli Sanchis
Influence of the data codification when applying evolving classifiers to develop spoken dialog systems. EALS (2014)
Mahardhika Pratama, Jie Lu, Sreenatha G. Anavatti, José Antonio Iglesias
A recurrent meta-cognitive-based Scaffolding classifier from data streams. EALS (2014)
José Antonio Iglesias, Alexandra Tiemblo, Agapito Ismael Ledezma Espino, Araceli Sanchis
News Mining Using Evolving Fuzzy Systems. IDEAL (2014)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
Evolving classification of UNIX users' behaviors. Evol. Syst. 5 (4) (2014)
David Griol, José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers. EAIS (2014)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
Ensemble method based on individual evolving classifiers. EAIS (2013)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
Evolving systems for computer user behavior classification. EAIS (2013)
Francisco Javier Ordóñez, José Antonio Iglesias, Paula de Toledo, Agapito Ledezma, Araceli Sanchis
Online activity recognition using evolving classifiers. Expert Syst. Appl. 40 (4) (2013)
José Antonio Iglesias, Plamen P. Angelov, Agapito Ledezma, Araceli Sanchis
Creating Evolving User Behavior Profiles Automatically. IEEE Trans. Knowl. Data Eng. 24 (5) (2012)
José Antonio Iglesias, Francisco Javier Ordóñez, Agapito Ledezma, Paula de Toledo, Araceli Sanchis
Evolving activity recognition from sensor streams. EAIS (2012)
José Antonio Iglesias, Esteban García-Cuesta
User modeling in changeable environments. EAIS (2012)
Esteban García-Cuesta, José Antonio Iglesias
User modeling: Through statistical analysis and subspace learning. Expert Syst. Appl. 39 (5) (2012)
José Antonio Iglesias, Plamen P. Angelov, Agapito Ledezma, Araceli Sanchis
Evolving human activity classifier from sensor streams. EAIS (2011)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis, Gal A. Kaminka
A plan classifier based on Chi-square distribution tests. Intell. Data Anal. 15 (2) (2011)
José Antonio Iglesias, Plamen P. Angelov, Agapito Ledezma, Araceli Sanchis
Evolving classification of agents' behaviors: a general approach. Evol. Syst. 1 (3) (2010)
José Antonio Iglesias, Plamen P. Angelov, Agapito Ledezma, Araceli Sanchis
User modeling: Through statistical analysis and an evolving classifier. FUZZ-IEEE (2010)
José Antonio Iglesias, Plamen P. Angelov, Agapito Ledezma, Araceli Sanchis
Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. ECAI (2010)
José Antonio Iglesias, Plamen P. Angelov, Agapito Ledezma, Araceli Sanchis
Human Activity Recognition Based on Evolving Fuzzy Systems. Int. J. Neural Syst. 20 (5) (2010)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
CAOS Coach 2006 Simulation Team: An Opponent Modelling Approach. Comput. Informatics 28 (1) (2009)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
Creating User Profiles from a Command-Line Interface: A Statistical Approach. UMAP (2009)
José Antonio Iglesias, Juan Antonio Fernández, Ignacio Ramon Villena, Agapito Ledezma, Araceli Sanchis
The Winning Advantage: Using Opponent Models in Robot Soccer. IDEAL (2009)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis, Gal A. Kaminka
An Efficient Behavior Classifier based on Distributions of Relevant Events. ECAI (2008)
Clara Benac Earle, Lars-Åke Fredlund, José Antonio Iglesias, Agapito Ledezma
Verifying Robocup Teams. MoChArt (2008)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
Sequence Classification Using Statistical Pattern Recognition. IDA (2007)
José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis
A Comparing Method of Two Team Behaviours in the Simulation Coach Competition. MDAI (2006)