Research Interests |
Starting from Machine Learning
and Data Mining I moved on to Multiagent Learning, Recommender Systems
and Technologies for Knowledge Management Support, which in turn drew
my attention to online knowledge sharing communities, then to how small
networks structures arise from interaction between agents and, more
recently, to the cultural aspects of knowledge sharing, socialization,
the structure of virtual and real societies, innovation patterns and so
on. |
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2006
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2001
Learning causal possibilistic networks from data PhD Thesis, Department of Software, Technical University of Catalonia (please request a copy by e-mail). R. Sangüesa, U. Cortés.Learning causal networks from data. a survey and a new algorithm for recovering possibilistic causal networks. AiCommunications,Vol 10,No. 1, March 1997, pages. 31-6. R. Sangüesa, U. Cortés and A. Gisolfi,A Parallel Algorithm for Building Possibilistic Causal Networks, International Journal of Approximate Reasoning, special issue on Algebraic models, MV-Algebras for Fuzzy Logic and Fuzzy Reasoning. R.Sangüesa and U. Cortés, Possibilistic Conditional independence: a similarity-based measure ant its application to causal network learning,International Journal of Approximate Reasoning. R. Sangüesa and J.CabósExperimentacion con metodos hibridos de aprendizaje de redes bayesianas,. Congreso Iberoamericano de Inteligencia Artificial, IBERAMIA-92, pages 310-319, Cholula, Puebla, Mexico.(zipped PS, 40 K). R.Sangüesa and U. Cortés Possibilistic Conditional Dependency, Similarity and Information Measures: an application to causal network recovery. Fuzzy Theory and Technologies, FTT'97, North Carolina, March 1997.(zipped PostScript, 44 K). Dependency
discovery with POSSCAUSE: an Application to Waste Water Treatment Plants.
(Zipped PostScript, 55 K). Proceedings of the first international Conference on The
Practical Application of Knowledge Discovery and Data Mining (PADD97),
London, April 1997, pages 199-214.
Experiments
with Domain Knowledge in Knowledge discovery. Proceedings of
the first international Conference on The Practical Application of
Knowledge Discovery and Data Mining (PADD97), London, April 1997,
pages 65-78.
Biasing
Induction with Previous Knowledge for Knowledge Acquisition in
Imprecise Domains. (Mario Martin, Ramón Sanguesa and Ulises
Cortés). In Proceedings of the Eleventh International
Workshop on Expert Systems & Their Applications (Avignon'91),
Avignon, France
Knowledge Acquisition Combining Analytical and Empirical Techniques. (Mario Martin, Ramón Sanguesa and Ulises Cortés). In Proceedings of the Eight International Workshop on Machine Learning (ML91). Editors: L.A. Birbaum, G.C. Collins. Published by Morgan-Kauffman. [Illinois (USA), 1991]. A New Approach to Knowledge Acquisition: Integrating Analytical and Empirical Techniques. (Mario Martin, Ramón Sanguesa). Proceedings of the ICYCS'91. [Beijing (China), 1991].LINNEO: A Knowledge Acquisition Tool (Angels Hernández, Mario Martin, Ramón Sanguesa and Ulises Cortés). Proceedings of the 2nd Paneuropean Simposium on Applied Informatic. [Salerno (Italia), 1990]. R.Sangüesa, U. Cortés, M. Nicolás, S.Saxon "Webprofile or agents the other way round" (WebAg.ps.Z,PostScript, compressed) R.Sangüesa,J. Vázquez, A. Vázquez "ACE: mixing cognitive and social filtering" ( LSI-Dept. Technical Report). R. Sangüesa, and U.
Cortés, The Bayesian
Agent: a probabilistic agent for working under uncertainty. Vim
Project Winter Workshop, November 1997, Ravello, Italy. (gzipped Postscript file) |
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