Luis de la Ossa's academic homepage - Publications

Publications

International Journals

Alejandro Martín-Belmonte, Carolina Aguado, Rocio Alfaro-Ruíz, Makoto Itakura, Ana Esther Moreno-Martínez, Luis De La Ossa, Elek Molnar, Yugo Fukazawa, Rafael Lujan. Age-dependent shift of AMPA receptors from synapses to intracellular compartments in Alzheimer´s disease: Immunocytochemical analysis of the CA1 hippocampal region in APP/PS1 transgenic mouse mode. Frontiers in Aging Neuroscience (to appear)

Alejandro Martín-Belmonte, Carolina Aguado, Rocío Alfaro-Ruíz, Ana Esther Moreno-Martínez, Luis de la Ossa, José Martínez-Hernández, Alain Buisson, Ryuichi Shigemoto, Yugo Fukazawa, Rafael Luján. Density of GABAB Receptors Is Reduced in Granule Cells of the Hippocampus in a Mouse Model of Alzheimer’s Disease. International Journal of Molecular Sciences (doi: 10.3390/ijms21072459)

Alejandro Martín-Belmonte, Carolina Aguado, Rocío Alfaro-Ruiz, Ana Esther Moreno-Martínez, Luis de la Ossa, José Martínez-Hernández, Bernhard Bettler, Ryuichi Shigemoto, Yugo Fukazawa and Rafael Luján. Reduction in the neuronal surface of post- and pre-synaptic GABAB receptors in the hippocampus in a mouse model of Alzheimer´s disease. Brain Pathology (doi: 10.1111/bpa.12802)

Rafael Luján, Carolina Aguado, Francisco Ciruela, Xavier Morató Arus, Alejandro Martín-Belmonte, Rocío Alfaro-Ruiz, Jesús Martínez-Gómez, Luis de la Ossa, Masahiko Watanabe, John P. Adelman, Ryuichi Shigemoto and Yugo Fukazawa. SK2 Channels Associate With mGlu1a Receptors and Cav2.1 Channels in Purkinje Cells. Frontiers in cellular neuroscience (https://doi.org/10.3389/fncel.2018.00311)

Javier Cózar, Luis de la Ossa and José A. Learning compact zero-order TSK fuzzy rule-based systems for high-dimensional problems using an Apriori + local search approach Information Sciences (doi: 10.1016/j.ins.2017.12.026).

Juan I. Alonso-Barba, Luis de la Ossa, José A. Gámez and José M. Puerta. On the use of local search heuristics to improve GES-based Bayesian network learning. Applied Soft Computing (doi: 10.1016/j.asoc.2017.12.011).

Rafael Luján, Carolina Aguado, Francisco Ciruela, Javier Cózar, David Kleindienst, Luis de la Ossa, Bernhard Bettler, Kevin Wickman, Masahiko Watanabe, Ryuichi Shigemoto, Yugo Fukazawa Differential association of GABAB receptors with their effector ion channels in Purkinje cells. Brain Structure and Function (https://doi.org/10.1007/s00429-017-1568-y).

Sara Sáez-Atienzar, Jesús Martínez-Gómez, Juan I. Alonso-Barba, José M. Puerta, María F. Galindo, Joaquín Jordán, Luis de la Ossa. Automatic quantification of the subcellular localization of chimeric GFP protein supported by a two-level Naive Bayes classifier. Expert Systems with Applications 42(3), pp 1531-1537 (2015).

Javier Cózar, Luis de la Ossa and José A. Gámez. Learning TSK-0 Linguistic Fuzzy Rules by Means of Local Search Algorithms . Applied Soft Computing 21, pp 57-71. 2014.

Juan I. Alonso-Barba, Luis de la Ossa, José A. Gámez and José M. Puerta. Scaling up the Greedy Equivalence Search Algorithm by Constraining the Search Space of Equivalence Classes . International Journal of Approximate Reasoning 54(4), pp. 429-451. 2013

Pablo Bemejo, Luis Redondo, Luis de la Ossa, Daniel Rodriguez, Julia Flores, Carmen Urea, José A. Gámez and José M. Puerta. Design and Simulation of a Thermal Comfort Adaptive System Based on Fuzzy Logic and On-line Learning . Energy and Buildings 49, pp. 367-379. 2012.

Pablo Bemejo, Luis de la Ossa, José A. Gámez y José M. Puerta. Fast wrapper feature subset selection in high dimensional datasets by means of filter re-ranking. Knowledge Based Systems 25(1), pp 35-44. 2012.

Juan I. Alonso-Barba, Luis de la Ossa and José M. Puerta. Structural Learning of Bayesian Networks by using Local Algorithms based on the Space of Orderings. Soft Computing 15(10), pp. 1881-1895. 2011.

Luis de la Ossa, José A. Gámez and José M. Puerta. Learning weighted linguistic fuzzy rules by using specifically-tailored hybrid estimation of distribution algorithms. International Journal of Approximate Reasoning. 50(3), pp. 541-560. 2009.

Luis de la Ossa, M. Julia Flores, José A. Gámez, Juan L. Mateo and José M. Puerta. Initial breeding value prediction on Manchego sheep by using rule-based systems. Expert Systems With Applications, 33(1), pp. 96-109. 2007.

Luis de la Ossa, José A. Gámez and José M. Puerta. Initial approaches to the application of island-based parallel edas in continuous domains. Journal of Parallel and Distributed Computing. 66, pp. 991-1001. 2006.

International Conferences

Juan I. Alonso-Barba, Luis de la Ossa, Olivier Regnier-Coudert, John McCall, José A. Gámez, José M. Puerta. Ant Colony and Surrogate Tree-Structured Models for Orderings-Based Bayesian Network Learning. Genetic and Evolutionary Computation Conference 2015, pp 543-550. Madrid. 2015.

Estefanía Coronado, José Villalón, Antonio Garrido, Luis de la Ossa An AIFSN prediction scheme for multimedia wireless communications. The 24th International Conference on Computer Communications and Networks (ICCCN 2015). ContextQoS Workshop, pp 1-8. Las Vegas. 2015.

Javier Cózar, José A. Gámez and Luis de la Ossa TSK-0 Fuzzy Rule-Based Systems for High-Dimensional Problems Using the Apriori Principle for Rule Generation. Rough Sets and Current Trends in Computing. Lecture Notes in Computer Science Volume 8536, 2014, pp 270-279.

Pablo Bermejo, Luis Redondo, Luis de la Ossa, Daniel Rodriguez, María Julia Flores, Carmen Urea, José A. Gámez, Jesús Martínez-Gómez, José M. Puerta Evaluation of a Thermal-Comfort Control System Using Real Data 16th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, pp 746-755. San Sebastián. 2012

Juan I. Alonso-Barba, Luis de la Ossa and Jose M. Puerta. Efficient and Sound Evaluation When Learning Bayesian Networks in the Space of Orderings Based on Local Methods. Proceedings of the 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), pp 611-618. Córdoba. 2011

Javier Cózar, Luis de la Ossa and José A. Gámez. Learning heterogeneus cooperative linguistic fuzzy rules using local search: enhancing the COR search space. Proceedings of the 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), pp 475-480. Córdoba. 2011

Pablo Bermejo, Luis de la Ossa, José A. Gámez and José M. Puerta . A Study on Different Backwards Feature Selection Criteria over High-Dimensional Databases. Proceedings of the 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), pp 1300-1305. Córdoba. 2011

Pablo Bermejo, Luis de la Ossa, José A. Gámez, José Miguel Puerta. Enhancing Incremental Feature Subset Selection in High-Dimensional Databases by Adding a Backward Step. Computer and Information Sciences II - 26th International Symposium on Computer and Information Sciences,pp 93-97. London, UK, 26-28 September 2011. Springer 2011.

Juan I. Alonso, Luis de la Ossa, José A. Gámez and José M. Puerta. Scaling up the Greedy Equivalence Search Algorithm by Constraining the Search Space of Equivalence Classes. Lecture Notes in Computer Science, Volume 6717/2011, pp. 194-205. 2011

Juan I. Alonso, Luis de la Ossa, M. Julia Flores, José A. Gámez, Jesús Martínez-Gómez, José M. Puerta Supporting intelligent systems teaching by means of computer games programming. EDULEARN10 Proceedings. IATED, pp. 5381-5389. 2010

Luis de la Ossa, José A. Gámez and José M. Puerta Learning cooperativ4 fuzzy rules using fast local search algorithms Proceedings of the 2010 IEEE International Conference on Fuzzy Systems, IEEE Computer Society, pp. 2134-2141. Barcelona. 2010.

Juan I. Alonso-Barba, Luis de la Ossa and Jose M. Puerta. Structural Learning of Bayesian Networks by using Variable Neighbourhood Search based on the Space of Orderings. Proceedings of the Ninth International Conference on Intelligent Systems Design and Applications (ISDA'09), pp. 1435-1440. Pisa. 2009. (Best Student Paper Award)

Fernando L. Pelayo, Luis de la Ossa, Fernando Cuartero, María L. Pelayo and Juan L.G. Guirao Towards the Evolutionary Process Algebra. 8th IEEE International Conference on Cognitive Informatics (ICCI 2009), IEEE Computer Society, pp. 69-76. Hong Kong. 2009.

Juan L. Mateo, Luis de la Ossa, José A. Gámez and José M. Puerta Avoiding premature convergence in Estimation of Distribution Algorithms Proceedings of the 2009 IEEE Congress on Evolutionary Computation (CEC2009), IEEE Computer Society, pp. 455-462. Trondheim, Norway, 2009.

Luis de la Ossa, José A. Gámez and Verónica López Improvement of a car racing controller by means of Ant Colony Optimization Algorithm. 2008 IEEE Symposium on Computational Intelligence and Games (CIG08), IEEE Computer Society, pp. 365-371. Perth, 2008.

Luis de la Ossa, José A. Gámez and José M. Puerta Learning weighted linguistic fuzzy rules with estimation of distribution algorithms. Proceedings of IEEE Congress on Evolutionary Computation (CEC2006), IEEE Computer Society, pp. 3242-3249. Vancouver, 2006.

Xavier Llorà, Kumara Sastry, David E. Goldberg and Luis de la Ossa. The k-ary Extended Compact Genetic Classifier System: Linkage Learning in Pittsburgh LCS. Proceedings of GECCO 2006 - Workshop in Learning Classifier Systems. Seattle, 2006.

Luis de la Ossa, José A. Gámez and José M. Puerta. Initial approaches to the application of islands-based parallel edas in continuous domains. Proceedings of 2005 International Conference on Parallel Processing Workshops (1st Workshop on Parallel Bioinspired Algorithms), IEEE Computer Society, pp. 580-587. Oslo, 2005.

Luis de la Ossa, José A. Gámez and José M. Puerta. Improving model combination through local search in parallel univariate EDAs. Proceedings of the 2005 IEEE Congress on Evolutionary Computation, IEEE Computer Society, pp. 1426-1433. Edimburgh, 2005.

Luis de la Ossa, José A. Gámez and José M. Puerta. Migration of probability models instead of individuals: an alternative when applying the island model to EDAs. Proceedings of The 8th International Conference on Parallel Problem Solving from Nature (PPSN VIII), LNCS Vol. 3242, Springer Verlag. pp. 242 - 252. Birmingham, 2004.

Book Chapters

Alonso-Barba, Juan I., Jens D. Nielsen, Luis de la Ossa and Jose M. Puerta. Learning Probabilistic Graphical Models: A Review of Techniques and Applications in Medicine. Medical Applications of Intelligent Data Analysis: Research Advancements. pp. 223-236. IGI Global, 2012.

Javier Cózar, Luis de la Ossa and José M. Puerta. Learning cooperative TSK-0 fuzzy rules using fast local search algorithms. Current Topics in Artificial Intelligence. 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011, La Laguna, Spain, November 8-11, 2011, Selected Papers. pp 353-362 . Lecture Notes in Computer Science 7023. Springer-Verlag 2011.

Pablo Bemejo, Luis de la Ossa, José A. Gámez and José M. Puerta. Global Feature Subset Selection on High-Dimensional Datasets Using Re-ranking-based EDAs Current Topics in Artificial Intelligence. 14th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2011, La Laguna, Spain, November 8-11, 2011, Selected Papers. pp 54-63. Lecture Notes in Computer Science 7023. Springer-Verlag 2011.

Luis de la Ossa, José A. Gámez and José M. Puerta. Improvement in the performance of island based genetic algorithms through path relinking. 3rd Workshop in hybrid metaheuristics. Springer Verlag LNCS vol. 4030, pp. 42-56, 2006.

Luis de la Ossa, José A. Gámez and José M. Puerta. Heuristic based sampling in Estimation of Distribution Algorithms: an initial approach. Current Topics in Artificial Intelligence (ISBN 3-540-22218-9) Conejo, Urretavizcaya, Pérez de la Cruz (Eds.) pp. 384 - 393 , LNCS/LNAI vol. 3040. Springer Verlag. 2004.

National Conferences

Javier Cózar, Luis de la Ossa y Jose A. Gámez Un algoritmo GRASP para el aprendizaje de Sistemas Basados en Reglas Difusas Lingüísticas . Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12). pp 611-618. Albacete, 2012

Juan I. Alonso-Barba, Luis de la Ossa, José A. Gámez y José M. Puerta Un Algoritmo GRASP para el Aprendizaje de Redes Bayesianas en el Espacio de Clases de Equivalencia . Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12). pp 9-16. Albacete, 2012

F. Luna, L. de la Ossa, E. Alba, J. A. Gámez, A. J. Nebro y J. M. Puerta AEDs para el diseño de redes de telecomunicaciones . Actas del VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB10), pp 659-666. Valencia, 2010

Luis de la Ossa, José A. Gámez, Juan L. Mateo y José M. Puerta. Evitando la convergencia prematura en Algoritmos de Estimación de Distribuciones . VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09), pp 153-160. Málaga, 2009

Luis de la Ossa, José A. Gámez y José M. Puerta. Un AED híbrido de dos niveles para dominios contínuos. Actas de la I Jornada sobre Algoritmos Evolutivos y Metaheurísticas, JAEM'2007, pp. 73-80, Zaragoza, 2007.

Luis de la Ossa, José A. Gámez y José M. Puerta. Aprendizaje de reglas difusas ponderadas mediante algoritmos de estimación de distribuciones. Actas del Campus Multidisciplinar en Percepción e Inteligencia, CMPI-2006, Vol. 2, pp. 274-285. Albacete, 2006.

Luis de la Ossa, José A. Gámez y José M. Puerta. Mejora de la combinación de modelos en AEDs univariados paralelos mediante path relinking. Actas del IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB-05 (en CEDI-2005), Volumen 2, pp. 871-878. Granada, 2005.

Luis de la Ossa, José A. Gámez y José M. Puerta. LiO: Una librería de algoritmos de búsqueda y optimización combinatoria. Actas del IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB-05. Vol. 1, pp 47-54. Granada, 2005.

Luis de la Ossa, Julia Flores, José A. Gámez, Juan L. Mateo y José M. Puerta. Predicción del valor genético inicial en ovejas de raza manchega mediante algoritmos evolutivos + sistemas basados en reglas difusas. Actas del IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB-05. Volumen 2, pp. 793-801. Granada, 2005.

Luis de la Ossa, José A. Gámez y José M. Puerta. Estudio experimental de la aplicación de los modelos de islas a los algoritmos de estimación de distribuciones. Actas del Tercer Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'04), pp. 278 - 287. Córdoba, 2004.

Luis de la Ossa, José A. Gámez y José . Puerta. Docencia en metaheurísticas en la Escuela Politécnica Superior de la UCLM. Actas del Tercer Congreso Español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, (MAEB-04). pp. 308 - 315. Córdoba. 2004.

Luis de la Ossa, José A. Gámez, José M. Puerta. Muestreo basado en conocimiento heurístico en algoritmos de estimación de distribuciones: una aproximación inicial. Actas de la X Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA-03). pp. 183 - 192. San Sebastián, 2003.