José Antonio Iglesias

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Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
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◀ ▶ joint publications with Agapito Ledezma

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Publications

2021
[j19]
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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)
2020
[c33]
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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
2019
[e2]
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  - conf/waf/2018
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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
[j15]
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  - journals/eswa/SkrjancALSIS18
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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)
[c30]
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  - conf/waf/IglesiasLS18
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José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Opponent Modeling in RoboCup Soccer Simulation. WAF 2018: 303-316
2017
[c29]
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  - conf/eais/GomezCCSLI17
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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]
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  - conf/eais/SkrjancMILD17
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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]
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  - journals/ijns/GriolILS16
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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]
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  - journals/inffus/IglesiasTLS16
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José Antonio Iglesias, Alexandra Tiemblo, Agapito Ledezma, Araceli Sanchis:
Web news mining in an evolving framework. Inf. Fusion 28: 90-98 (2016)
[c25]
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  - conf/smc/IglesiasGLS16
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José Antonio Iglesias, Aaron Garcia-Cuerva, Agapito Ledezma, Araceli Sanchis:
Social network analysis: Evolving Twitter mining. SMC 2016: 1809-1814
2014
[j9]
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  - journals/evs/IglesiasLS14
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José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Evolving classification of UNIX users' behaviors. Evol. Syst. 5(4): 231-238 (2014)
[c22]
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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]
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José Antonio Iglesias, Germán Gutiérrez, Agapito Ledezma, Araceli Sanchis:
Time series forecasting using Artificial Neural Networks vs. evolving models. EAIS 2014: 1-7
[c20]
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  - conf/eals/IglesiasGLS14
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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]
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José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
An ensemble method based on evolving classifiers: eStacking. EALS 2014: 124-131
[c17]
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  - conf/fusion/GutierrezIOLS14
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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]
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  - conf/ideal/PozoIL14
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Marcos Martín Pozo, José Antonio Iglesias, Agapito Ismael Ledezma Espino:
Intelligent Promotions Recommendation System for Instaprom Platform. IDEAL 2014: 231-238
[c15]
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José Antonio Iglesias, Alexandra Tiemblo, Agapito Ismael Ledezma Espino, Araceli Sanchis:
News Mining Using Evolving Fuzzy Systems. IDEAL 2014: 327-335
[c14]
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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]
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  - journals/eswa/OrdonezITLS13
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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]
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  - conf/eais/IglesiasLS13
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José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Ensemble method based on individual evolving classifiers. EAIS 2013: 56-61
[c12]
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  - conf/eais/IglesiasLS13a
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José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Evolving systems for computer user behavior classification. EAIS 2013: 78-83
2012
[j6]
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  - journals/ijoci/MartinezEM12
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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]
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  - journals/tkde/IglesiasALS12
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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]
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  - conf/eais/IglesiasOLTS12
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José Antonio Iglesias, Francisco Javier Ordóñez, Agapito Ledezma, Paula de Toledo, Araceli Sanchis:
Evolving activity recognition from sensor streams. EAIS 2012: 96-101
2011
[j4]
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  - journals/ida/IglesiasLSK11
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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]
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  - conf/eais/IglesiasALS11
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José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Evolving human activity classifier from sensor streams. EAIS 2011: 139-146
2010
[j3]
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  - journals/evs/IglesiasALS10
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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]
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  - journals/ijns/IglesiasALS10
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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]
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  - conf/ecai/IglesiasALS10
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José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
Human Activity Recognition in Intelligent Home Environments: An Evolving Approach. ECAI 2010: 1047-1048
[c7]
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  - conf/fuzzIEEE/IglesiasALS10
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José Antonio Iglesias, Plamen Angelov, Agapito Ledezma, Araceli Sanchis:
User modeling: Through statistical analysis and an evolving classifier. FUZZ-IEEE 2010: 1-8
2009
[j1]
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  - journals/cai/IglesiasLS09
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José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
CAOS Coach 2006 Simulation Team: An Opponent Modelling Approach. Comput. Informatics 28(1): 57-80 (2009)
[c6]
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  - conf/ideal/IglesiasFVLS09
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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]
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  - conf/um/IglesiasLS09
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José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Creating User Profiles from a Command-Line Interface: A Statistical Approach. UMAP 2009: 90-101
2008
[c4]
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  - conf/ecai/IglesiasLSK08
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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]
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  - conf/mochart/EarleFIL08
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Clara Benac Earle, Lars-Åke Fredlund, José Antonio Iglesias, Agapito Ledezma:
Verifying Robocup Teams. MoChArt 2008: 34-48
2007
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  - conf/ida/IglesiasLS07
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José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
Sequence Classification Using Statistical Pattern Recognition. IDA 2007: 207-218
2006
[c1]
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  - conf/mdai/IglesiasLS06
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José Antonio Iglesias, Agapito Ledezma, Araceli Sanchis:
A Comparing Method of Two Team Behaviours in the Simulation Coach Competition. MDAI 2006: 117-128

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