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ORCIDJosé Antonio Iglesias
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2020 – today
- 2024
[c36]José Antonio Iglesias, José María Monterrubio, María Paz Sesmero, Araceli Sanchis:
Generation and Evaluation of Medical Images Based on Diffusion Models. EAIS 2024: 1-8- 2022
- [j22]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: 117881 (2022) - [j21]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): 625-636 (2022) - [c35]Alejandro Barrera, Fernando García, José Antonio Iglesias:
Contrastive Learning for Simulation-to-Real Domain Adaptation of LiDAR Data. EUROCAST 2022: 345-353 - 2021
- [j20]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: 160299-160316 (2021) - [j19]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: 107689 (2021) - [c34]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: 3081-3086 - [i1]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 abs/2104.11021 (2021) - 2020
- [c33]José Antonio Iglesias Martinez, María Paz Sesmero Lorente, Elena Magán López, Agapito Ledezma Espino, Araceli Sanchis de Miguel:
A Novel Evolving Ensemble Approach Based on Bootstrapping and Dynamic Selection of Diverse Learners. EAIS 2020: 1-8 - [c32]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: 700-706
2010 – 2019
- 2019
- [j18]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: 344-368 (2019) - [j17]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): 4765-4775 (2019) - [e2]Raquel Fuentetaja Pizán, Ángel García Olaya, María Paz Sesmero Lorente, José Antonio Iglesias Martinez, Agapito Ledezma Espino:
Advances in Physical Agents - Proceedings of the 19th International Workshop of Physical Agents (WAF 2018), November 22-23, 2018, Madrid, Spain. Advances in Intelligent Systems and Computing 855, Springer 2019, ISBN 978-3-319-99884-8 [contents] - 2018
- [j16]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: 49755-49766 (2018) - [j15]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: 231-238 (2018) - [c31]Jose Eduardo Gomez, David Camilo Corrales, Emmanuel Lasso, José Antonio Iglesias, Juan Carlos Corrales:
Volcanic Anomalies Detection Through Recursive Density Estimation. MICAI (1) 2018: 299-314 - [c30]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Opponent Modeling in RoboCup Soccer Simulation. WAF 2018: 303-316 - 2017
- [c29]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: 1-6 - [c28]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: 1-5 - 2016
- [j14]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): 1650002:1-1650002:21 (2016) - [j13]José Antonio Iglesias, Alexandra Tiemblo, Agapito Ledezma, Araceli Sanchis:
Web news mining in an evolving framework. Inf. Fusion 28: 90-98 (2016) - [j12]Dmitry Kangin, Plamen Angelov, José Antonio Iglesias:
Autonomously evolving classifier TEDAClass. Inf. Sci. 366: 1-11 (2016) - [c27]Plamen P. Angelov, Xiaowei Gu, Germán Gutiérrez, José Antonio Iglesias, Araceli Sanchis:
Autonomous Data Density based clustering method. IJCNN 2016: 2405-2413 - [c26]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: 238-253 - [c25]José Antonio Iglesias, Aaron Garcia-Cuerva, Agapito Ledezma, Araceli Sanchis:
Social network analysis: Evolving Twitter mining. SMC 2016: 1809-1814 - 2015
- [c24]Moamar Sayed Mouchaweh, Anthony Fleury, Plamen Angelov, Edwin Lughofer, José Antonio Iglesias:
Preface. EAIS 2015: 1-2 - [c23]Dmitry Kangin, Plamen Angelov, José Antonio Iglesias, Araceli Sanchis:
Evolving Classifier TEDAClass for Big Data. INNS Conference on Big Data 2015: 9-18 - 2014
- [j11]José Antonio Iglesias, Igor Skrjanc:
Applications, results and future direction (EAIS 12). Evol. Syst. 5(1): 1-2 (2014) - [j10]José Antonio Iglesias Martinez, Igor Skrjanc:
Special issue: applications, results & future direction (EAIS 12): 2. Evol. Syst. 5(2): 73-74 (2014) - [j9]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Evolving classification of UNIX users' behaviors. Evol. Syst. 5(4): 231-238 (2014) - [c22]David Griol, José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
A dialog management methodology based on evolving Fuzzy-rule-based (FRB) classifiers. EAIS 2014: 1-8 - [c21]José Antonio Iglesias, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis:
Time series forecasting using Artificial Neural Networks vs. evolving models. EAIS 2014: 1-7 - [c20]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: 58-64 - [c19]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
An ensemble method based on evolving classifiers: eStacking. EALS 2014: 124-131 - [c18]Mahardhika Pratama, Jie Lu, Sreenatha G. Anavatti, José Antonio Iglesias:
A recurrent meta-cognitive-based Scaffolding classifier from data streams. EALS 2014: 132-139 - [c17]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: 1-8 - [c16]Marcos Martín Pozo, José Antonio Iglesias, Agapito Ismael Ledezma Espino:
Intelligent Promotions Recommendation System for Instaprom Platform. IDEAL 2014: 231-238 - [c15]José Antonio Iglesias, Alexandra Tiemblo, Agapito Ismael Ledezma Espino, Araceli Sanchis:
News Mining Using Evolving Fuzzy Systems. IDEAL 2014: 327-335 - [c14]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: 307-316 - 2013
- [j8]Francisco Javier Ordóñez, José Antonio Iglesias, Paula de Toledo, Agapito Ledezma, Araceli Sanchis:
Online activity recognition using evolving classifiers. Expert Syst. Appl. 40(4): 1248-1255 (2013) - [c13]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Ensemble method based on individual evolving classifiers. EAIS 2013: 56-61 - [c12]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Evolving systems for computer user behavior classification. EAIS 2013: 78-83 - 2012
- [j7]Esteban García-Cuesta, José Antonio Iglesias:
User modeling: Through statistical analysis and subspace learning. Expert Syst. Appl. 39(5): 5243-5250 (2012) - [j6]José Antonio Iglesias Martinez, Agapito Ledezma Espino, Araceli Sanchis de Miguel:
Data Mining for User Modeling. Int. J. Organ. Collect. Intell. 3(1): 35-51 (2012) - [j5]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Creating Evolving User Behavior Profiles Automatically. IEEE Trans. Knowl. Data Eng. 24(5): 854-867 (2012) - [c11]José Antonio Iglesias, Francisco Javier Ordóñez, Agapito Ledezma, Paula de Toledo, Araceli Sanchis:
Evolving activity recognition from sensor streams. EAIS 2012: 96-101 - [c10]José Antonio Iglesias, Esteban García-Cuesta:
User modeling in changeable environments. EAIS 2012: 182-185 - [e1]Plamen Angelov, Dimitar P. Filev, Nikola K. Kasabov, José Antonio Iglesias, Germán Gutiérrez:
2012 IEEE Conference on Evolving and Adaptive Intelligent Systems, EAIS 2012, Madrid, Spain, May 17-18, 2012. IEEE 2012, ISBN 978-1-4673-1727-6 [contents] - 2011
- [j4]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis, Gal A. Kaminka:
A plan classifier based on Chi-square distribution tests. Intell. Data Anal. 15(2): 131-149 (2011) - [c9]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Evolving human activity classifier from sensor streams. EAIS 2011: 139-146 - 2010
- [j3]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Evolving classification of agents' behaviors: a general approach. Evol. Syst. 1(3): 161-171 (2010) - [j2]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Human Activity Recognition Based on Evolving Fuzzy Systems. Int. J. Neural Syst. 20(5): 355-364 (2010) - [c8]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. ECAI 2010: 1047-1048 - [c7]José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
User modeling: Through statistical analysis and an evolving classifier. FUZZ-IEEE 2010: 1-8
2000 – 2009
- 2009
- [j1]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
CAOS Coach 2006 Simulation Team: An Opponent Modelling Approach. Comput. Informatics 28(1): 57-80 (2009) - [c6]José Antonio Iglesias, Juan Antonio Fernández, Ignacio Ramon Villena, Agapito Ledezma, Araceli Sanchis:
The Winning Advantage: Using Opponent Models in Robot Soccer. IDEAL 2009: 485-493 - [c5]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Creating User Profiles from a Command-Line Interface: A Statistical Approach. UMAP 2009: 90-101 - 2008
- [c4]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis, Gal A. Kaminka:
An Efficient Behavior Classifier based on Distributions of Relevant Events. ECAI 2008: 825-826 - [c3]Clara Benac Earle, Lars-Åke Fredlund, José Antonio Iglesias, Agapito Ledezma:
Verifying Robocup Teams. MoChArt 2008: 34-48 - 2007
- [c2]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Sequence Classification Using Statistical Pattern Recognition. IDA 2007: 207-218 - 2006
- [c1]José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
A Comparing Method of Two Team Behaviours in the Simulation Coach Competition. MDAI 2006: 117-128
Coauthor Index
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last updated on 2024-07-11 20:15 CEST by the dblp team
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