Introductory survey to open-source mobile robot simulation software P Castillo-Pizarro, TV Arredondo, M Torres-Torriti 2010 Latin american robotics symposium and intelligent robotics meeting, 150-155, 2010 | 53 | 2010 |
Survey and comparative study of free simulation software for mobile robots M Torres-Torriti, T Arredondo, P Castillo-Pizarro Robotica 34 (4), 791-822, 2016 | 38 | 2016 |
Fuzzy motivations for evolutionary behavior learning by a mobile robot TV Arredondo, W Freund, C Munoz, N Navarro, F Quirós Advances in Applied Artificial Intelligence: 19th International Conference …, 2006 | 20 | 2006 |
Redundancy attributes of a complex system: Application to bioinformatics PS Neelakanta, TV Arredondo, D DeGroff Complex Systems 14 (3), 215-234, 2003 | 16 | 2003 |
Fuzzy attributes of a DNA complex: Development of a fuzzy inference engine for codon-“junk” codon delineation TV Arredondo, PS Neelakanta, D De Groff Artificial Intelligence in Medicine 35 (1-2), 87-105, 2005 | 15 | 2005 |
Bioinformatics integration framework for metabolic pathway data-mining AV Tomás, SP Michael, L Dombrovskaia, AA Jorge, CB Felipe, CC Diego, ... Advances in Applied Artificial Intelligence: 19th International Conference …, 2006 | 11 | 2006 |
Feed-forward artificial neural network based inference system applied in bioinformatics data-mining MU Leiva, TV Arredondo, DC Candel, L Dombrovskaia, LC Agullo, ... 2009 International Joint Conference on Neural Networks, 1744-1749, 2009 | 9 | 2009 |
Bio-inspired architecture for a reactive-deliberative robot controller F Rubilar, MJ Escobar, T Arredondo 2014 International Joint Conference on Neural Networks (IJCNN), 2027-2035, 2014 | 8 | 2014 |
Introducción a la lógica difusa TA Vidal Obtenido de http://profesores. elo. utfsm. cl/~ tarredondo/info/softcomp …, 2014 | 8 | 2014 |
Dynamic penalty based GA for inducing fuzzy inference systems T Arredondo V, F Vásquez M, D Candel C, L Dombrovskaia, L Agulló, ... Progress in Pattern Recognition, Image Analysis and Applications: 12th …, 2007 | 8 | 2007 |
Fuzzy motivations in behavior based agents TV Arredondo Smart Information and Knowledge Management: Advances, Challenges, and …, 2010 | 7 | 2010 |
Acquiring Adaptive Behaviors of Mobile Robots Using Genetic Algorithms and Artificial Neural Networks N Navarro, C Muñoz, W Freund, T Arredondo Electronics, Robotics and Automotive Mechanics Conference (CERMA'06) 1, 87-91, 2006 | 7 | 2006 |
Application of neural networks and meta-learners to recognize beef from OTM cattle by using volatile organic compounds T Arredondo, E Oñate, R Santander, G Tomic, JR Silva, E Sánchez, ... Food and bioprocess technology 7, 3217-3225, 2014 | 6 | 2014 |
Fuzzy Motivations in a Multiple Agent Behaviour-Based Architecture TV Arredondo, W Freund, N Navarro-Guerrero, P Castillo International Journal of Advanced Robotic Systems 10 (8), 313, 2013 | 6 | 2013 |
Meta–learning framework applied in bioinformatics inference system design T Arredondo, W Ormazábal International Journal of Data Mining and Bioinformatics 11 (2), 139-166, 2015 | 5 | 2015 |
Learning performance in evolutionary behavior based mobile robot navigation T Arredondo V, W Freund, C Muñoz, F Quirós MICAI 2007: Advances in Artificial Intelligence: 6th Mexican International …, 2007 | 5 | 2007 |
Serendipity in social networks W Creixell, JC Losada, T Arredondo, P Olivares, RM Benito Networks and heterogeneous media 7 (3), 363-371, 2012 | 4 | 2012 |
Introducción a las redes neuronales TA Vidal, DE UTFSM Universidad Técnica Federico Santa Maria, Chile, 2012 | 4 | 2012 |
Introducción a la Teoría de la Información TV Arredondo Obtenido de Profesores. elo. utfsm. cl: http://profesores. elo. utfsm. cl …, 2011 | 4 | 2011 |
Real-time adaptive fuzzy motivations for evolutionary behavior learning by a mobile robot W Freund, TA Vidal, C Munoz, N Navarro, F Quirós MICAI 2006: Advances in Artificial Intelligence: 5th Mexican International …, 2006 | 4 | 2006 |