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ORCIDTomás Arredondo
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2010 – 2019
- 2016
[j7]Miguel Torres-Torriti
, Tomás Arredondo, P. Castillo-Pizarro:
Survey and comparative study of free simulation software for mobile robots. Robotica 34(4): 791-822 (2016)- 2015
- [j6]Tomás Arredondo, Wladimir O. Ormazábal:
Meta-learning framework applied in bioinformatics inference system design. Int. J. Data Min. Bioinform. 11(2): 139-166 (2015) - 2014
- [c12]Fabian Rubilar, María-José Escobar, Tomás Arredondo:
Bio-inspired architecture for a reactive-deliberative robot controller. IJCNN 2014: 2027-2035 - [c11]Pablo Lozada Yanez, Tomás Arredondo, Cristhy Jiménez:
Parameters Optimization in Entropic Segmentation Processes for the Analysis of Genetic Sequences. ITNG 2014: 149-154 - 2012
- [j5]Tomás Arredondo, Diego Candel, Mauricio U. Leiva, Lioubov Dombrovskaia, Loreine Agulló, Michael Seeger:
Inference system using softcomputing and mixed data applied in metabolic pathway datamining. Int. J. Data Min. Bioinform. 6(1): 61-85 (2012) - [j4]Werner Creixell, Juan Carlos Losada, Tomás Arredondo, Patricio Olivares, Rosa María Benito:
Serendipity in social networks. Networks Heterog. Media 7(3): 363-371 (2012) - 2011
- [j3]Tomás Arredondo:
CDS identification in a viral single-strand DNA (ssDNA) using Fisher linear discriminant. Int. J. Bioinform. Res. Appl. 7(3): 262-272 (2011) - [c10]Tomás Arredondo, Patricio Castillo, Pablo Benapres, Javiera Quiroz, Miguel Torres:
A Biologically Inspired Memory in a Multi-agent Based Robotic Architecture. ICTAI 2011: 344-351 - [c9]Tomás Vidal Arredondo, Wladimir O. Ormazábal, Diego Candel, Werner Creixell:
Meta-learning Based Optimization of Metabolic Pathway Data-Mining Inference System. IEA/AIE (2) 2011: 183-192 - 2010
- [p1]Tomás Vidal Arredondo:
Fuzzy Motivations in Behavior Based Agents. Smart Information and Knowledge Management 2010: 247-272
2000 – 2009
- 2009
- [c8]Mauricio U. Leiva, Tomás Vidal Arredondo, Diego Candel, Lioubov Dombrovskaia, Loreine Agulló, Michael Seeger, Félix Vásquez:
Feed-forward Artificial Neural Network based inference system applied in bioinformatics data-mining. IJCNN 2009: 1744-1749 - 2008
- [c7]Tomás Arredondo, Wolfgang Freund, César Muñoz:
Entropy Based Diversity Measures in Evolutionary Mobile Robot Navigation. IEA/AIE 2008: 129-138 - 2007
- [c6]Tomás Arredondo, Félix Vásquez, Diego Candel, Lioubov Dombrovskaia, Loreine Agulló, Macarena Córdova, Valeria Latorre-Reyes, Felipe Calderón, Michael Seeger:
Dynamic Penalty Based GA for Inducing Fuzzy Inference Systems. CIARP 2007: 957-966 - [c5]Tomás Vidal Arredondo, Wolfgang Freund, César Muñoz, Fernando Quirós:
Learning Performance in Evolutionary Behavior Based Mobile Robot Navigation. MICAI 2007: 811-820 - 2006
- [c4]Tomás Arredondo, Wolfgang Freund, César Muñoz, Nicolás Navarro-Guerrero, Fernando Quirós:
Fuzzy Motivations for Evolutionary Behavior Learning by a Mobile Robot. IEA/AIE 2006: 462-471 - [c3]Tomás Arredondo, Michael Seeger, Lioubov Dombrovskaia, Jorge Avarias, Felipe Calderón, Diego Candel, Freddy Muñoz, Valeria Latorre-Reyes, Loreine Agulló, Macarena Córdova, Luis Gómez:
Bioinformatics Integration Framework for Metabolic Pathway Data-Mining. IEA/AIE 2006: 917-926 - [c2]Wolfgang Freund, Tomás Vidal Arredondo, César Muñoz, Nicolás Navarro-Guerrero, Fernando Quirós:
Real-Time Adaptive Fuzzy Motivations for Evolutionary Behavior Learning by a Mobile Robot. MICAI 2006: 101-111 - 2005
- [j2]Tomás Vidal Arredondo, Perambur S. Neelakanta, Dolores F. De Groff:
Fuzzy attributes of a DNA complex: Development of a fuzzy inference engine for codon-"junk" codon delineation. Artif. Intell. Medicine 35(1-2): 87-105 (2005) - 2003
- [j1]Perambur S. Neelakanta, Tomás Vidal Arredondo, Dolores DeGroff:
Redundancy Attributes of a Complex System: Application to Bioinformatics. Complex Syst. 14(3) (2003) - [c1]Perambur S. Neelakanta, Shivani Pandya, Tomás Vidal Arredondo, Dolores F. De Groff:
Heuristics of AI-Based Search Engines for Massive Bioinformatic Data-Mining: An Example of Codon/Noncodon Delineation Search in a Binary DNA Sequence. IICAI 2003: 685-694
Coauthor Index
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