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T. Arredondo,
W. Freund, C. Muñoz, N. Navarro and F. Quirós. Fuzzy Motivations for Evolutionary Behavior Learning by a Mobile Robot. In Moonis, A., Dapoigny, R.(eds): Innovations in Applied Artificial Intelligence. Lecture Notes in Artificial Intelligence, Vol. 4031:462-471, 2006. 
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T. Arredondo, M. Seeger, L. Dombrovskaia, J. Avarias, F. Calderon, D. Candel, F. Muñoz, V. Latorre, L. Aguiló, M. Cordova and L. Gómez. Bioinformatics Integration Framework for Metabolic Pathway Data-Mining. In Moonis, A., Dapoigny, R.(eds): Innovations in Applied Artificial Intelligence. Lecture Notes in Artificial Intelligence, Vol. 4031:917-926, 2006. 
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T. Arredondo, P. Neelakanta and D. De Groff. Fuzzy attributes of a DNA complex: Development of a fuzzy inference engine for codon-“junk” codon delineation. In Artificial Intelligence in Medicine, Vol. 35(1):87-105, 2005.
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P. Neelakanta,
T. Arredondo and D. De Groff. Redundancy Atributes of a Complex System: Application to Bioinformatics. In Complex Systems, 2003.
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W. Freund,
T. Arredondo, C. Muñoz, N. Navarro and F. Quirós. Real-Time Adaptive Fuzzy Motivations for Evolutionary Behavior Learning by a Mobile Robot. In Lecture Notes in Computer Science, Vol. 4293:101-111, Springer-Verlag, Berlin, 2006.
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T. Arredondo,
W. Freund, C. Muñoz and F. Quirós. Learning Performance in Evolutionary Behavior Based Mobile Robot Navigation. In Lecture Notes on Artificial Intelligence, Vol. 4872:811-820, Springer-Verlag, Berlin, 2007.
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T. Arredondo, F. Vásquez, D. Candel, L. Dombrovskaia, L. Aguiló, M. Cordova, V. Latorre, F. Calderon and M. Seeger. Dynamic Penalty Based GA for Inducing Fuzzy Inference Systems. In Lecture Notes on Computer Science, Vol. 4756:957-966, Springer-Verlag , Berlin, 2008.
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T. Arredondo. CDS identification in a viral single-strand DNA (ssDNA) using Fisher linear discriminant. In International Journal of Bioinformatics Research and Applications, Vol. 7(3):262-272, 2011.
[Annote]
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T. Arredondo,
W. Freund and C. Muñoz. Entropy Based Diversity Measures in Evolutionary Mobile Robot Navigation. In Lecture Notes in Computer Science, Vol. 5027:129-138, June 2008.
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T. Arredondo, W. Ormazabal, D. Candel and
W. Creixell. Meta-learning Based Optimization on Metabolic Pathway Data-Mining Inference System. In Lecture Notes in Computer Science, Vol. 6704:183-192, 2011.
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T. Arredondo, D. Candel, M. Leiva, L. Dombrovskaia, L. Aguiló and M. Seeger. Inference System using Softcomputing and Mixed Data applied in Metabolic Pathway Datamining. In International Journal of Data Mining and Bioinformatics, Vol. 6(1), 2012.
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W. Creixell, J.C. Losada,
T. Arredondo,
P. Olivares and R.M. Benito. Serendipity in Social Networks. In Networks and Heterogeneous Media, special issue “Mesoscales and Evolution in Complex Networks: Applications and related topics”, Vol. 7(3):363-371, 2012.
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T. Arredondo,
W. Freund, N. Navarro and
P. Castillo. Fuzzy Motivations in a Multiple Agent Behaviour-Based Architecture. In International Journal of Advanced Robotic Systems, Vol. 10:313, August 2013.
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T. Arredondo,
E Oñate, R Santander, G Tomic, J.R. Silva, E Sánchez and C.A. Acevedo. Application of Neural Networks and Meta-Learners to Recognize Beef from OTM Cattle by Using Volatile Organic Compounds. In Food and Bioprocess Technology, Vol. 7(11):3217-3225, November 2014.
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M. Torres-Torriti,
T. Arredondo and P. Castillo-Pizarro. Survey and comparative study of free simulation software for mobile robots. In Robotica , Vol. 34(4):791-822, April 2016.
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T. Arredondo and W. Ormazabal. Meta-learning framework applied in bioinformatics inference system design. In Int. Journal Data Mining and Bioinformatics, Vol. 11(2):139-166, 2015.
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C. Muñoz, N. Navarro,
W. Freund and
T. Arredondo. Acquiring Adaptive Behaviors of Mobile Robots Using Genetic Algorithms and Artificial Neural Networks. In CERMA 2006, Cuernavaca, Mexico, 2006.
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T. Arredondo,
W. Freund, C. Muñoz, N. Navarro and F. Quirós. Fuzzy Motivations for Evolutionary Behavior Learning by a Mobile Robot. In IEA/AIE 06, Annecy, France, 27-30 June 2006.
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T. Arredondo, M. Seeger, L. Dombrovskaia, J. Avarias, F. Calderon, D. Candel, F. Muñoz, V. Latorre, L. Aguiló, M. Cordova and L. Gómez. Bioinformatics Integration Framework for Metabolic Pathway Data-Mining. In IEA/AIE 06, Annecy, France, 27-30 June 2006.
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T. Arredondo,
W. Freund, C. Muñoz and F. Quirós. Learning Performance in Evolutionary Behavior Based Mobile Robot Navigation. In MICAE, Aguascalientes, México., 5-9 November 2007.
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T. Arredondo, F Vásquez, M. Cordova, V. Latorre, F. Calderon and M. Seeger. Dynamic Penalty Based GA for Inducing Fuzzy Inference Systems. In 12 th Iberoamerican Congress on Pattern Chile.CIARP 2007, Valparaíso - Chile., 13-16 November 2007.
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T. Arredondo,
W. Freund, C. Muñoz, N. Navarro and F. Quirós. Entropy Based Diversity Measures in Evolutionary Mobile Robot Navigation. In The Twenty First International Conference on Industrial, Engineering & Other Applications of Applied Intelligent SystemsIEA/AIE 08, Wroclaw, Poland, 18-20 June 2008.
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M. Leiva,
T. Arredondo, D. Candel, L. Dombrovskaia, L. Aguiló, M. Seeger and F. Vásquez. Feed-Forward Artificial Neural Network Based Inference System Applied in Bioinformatics Data-Mining. In International Joint Conference of Neural Networks - IJCNN 2009, Atlanta, USA, 14-19 June 2009.
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L. Aguiló, D. Candel,
T. Arredondo, L. Dombrovskaia and M. Seeger. Reconstruction of the Metabolism in Bacteria using Bioinformatic Software and In Vivo Studies. In 3rd Congress of European Microbiologists - FEMS 2009, Gothenburg, Sweden, 28 June - 2 July 2009.
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W. Creixell,
T. Arredondo and S. Contreras. Meaningful Locations from CellTower Information Data. ALIO – INFORMS Joint International Meeting , Buenos Aires, Argentina, 6-9 June 2010.
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P. Castillo-Pizarro,
T. Arredondo and M. Torres-Torriti. Introductory Survey to Open-Source Mobile Robot Simulation Software. IEEE LARS 2010 , Sao Bernardo do Campo, Brazil, 6-9 October 2010.
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C. Muñoz, N. Navarro,
T. Arredondo and
W. Freund. Cooperative adaptive behavior acquisition in mobile robot swarms using Neural Networks and Genetic Algorithms. In CERMA 2008, Cuernavaca, Mexico, 2008.
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T. Arredondo, W. Ormazabal, D. Candel and
W. Creixell. Meta-learning Based Optimization of Metabolic Pathway Data-Mining Inference System. In The Twenty-fourth International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2011), Syracuse, N.Y., USA, 28 June - 1 July 2011.
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W. Ormazabal,
T. Arredondo,
W. Creixell, S. Contreras and
P. Olivares. Meta-learning based Optimization of Social Feature Extraction Inference System. In ICAI'11 - The 2011 International Conference on Artificial Intelligence, Las Vegas, Nevada, USA, 18-21 July 2011.
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W. Creixell,
T. Arredondo, S. Contreras,
P. Olivares and W. Ormazabal. Social Features Discovery from Cellphone Contextual Data by Semantic Location Classification. In ICAI'11 - The 2011 International Conference on Artificial Intelligence, Las Vegas, Nevada, USA, 18-21 July 2011.
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T. Arredondo,
P. Castillo,
P. Benapres,
J. Quiroz and M. Torres. A Biologically Inspired Memory in a Multi-agent Based Robotic Architecture. In ICTAI'11 23rd IEEE International Conference on Tools with Artificial Intelligence, Pages 344-351, Boca Raton, FL, USA, 7-9 November 2011.
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J.C. Losada, F. Borondo,
W. Creixell and
T. Arredondo. Analysis of human behaviors from telephone interactions; serendipity measures. In 9th AIMS Conference on Dynamical Systems, Differential Equations and Applications, Orlando FL, USA, 1-5 July 2012.
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F. V. Rubilar,
M.J. Escobar and
T. Arredondo. Bio-Inspired Architecture for a Reactive-Reflective Robot Controller. In World Congress on Computational Intelligence (WCCI 2014), Beijing International Convention Center, Beijing, China, 6-11 July 2014.
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E Oñate,
T. Arredondo and C.A. Acevedo. Meta-Learning based Optimization of Neural Network Beef Age Classifier. International Conference on Engineering and Applied Sciences Optimization, Isla of Kos. Grecia, 4-6 June 2014.
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P. E. Lozada,
T. Arredondo and C. N. Jiménez. Meta-Learner to Optimize Parameters in an Entropic Segmentation Process to Determine Proteins in Viral DNA Chains. In International Conference on Engineering and Applied Sciences Optimization, Kos Island, Greece, 4-6 June 2014.
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P. E. Lozada,
T. Arredondo and C. N. Jiménez. Parameters Optimization in Entropic Segmentation Processes for the Analysis of Genetic Sequences. In 11th Int. Conference on Information Technology: New Generations ITNG 2014, Las Vegas, Nevada, USA, 7 April 2014.
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