International conferences/Congresos internacionales

  • S. Acid, L.M. de Campos. Improving automatic classifiers through interaction. Lecture Notes in Artificial Intelligence 9693, Artificial Intelligence and Soft Computing, L. Rutkowski, M. Korytkowski, R. Scherer, R. Tadeusiewicz, L.A. Zadeh, J.M. Zurada (Eds.), 3-13, 2016. 15th International Conference, ICAISC 2016, Zakopane, Poland. (ISBN 978-3-319-39383-4) (pdf)
  • F.J. Ribadas, L.M. de Campos, J.M. Fernández-Luna, J.F. Huete. Concept profiles for filtering parliamentary documents. Proceedings of the 7th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 1: KDIR, 409-416, 2015. (ISBN 978-989-758-158-8) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, Pável Calado, Bruno Martins. Learning parliamentary profiles for recommendation tasks. Lecture Notes in Artificial Intelligence 9422, Advances in Artificial Intelligence, Puerta, J.M., Gámez, J.A., Dorronsoro, B., Barrenechea, E., Troncoso, A., Baruque, B., Galar, M. (Eds.), 187-197, 2015. (ISBN 978-3-319-24597-3) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete. A lazy approach for filtering parliamentary documents. Lecture Notes in Computer Science 9265, Electronic Government and the Information Systems Perspective, A. Kö, E. Francesconi (Eds.), 364-378, 2015. (ISBN 979-3-319-22388-9) (pdf)
  • F.J. Ribadas, L.M. de Campos, V.M. Darriba, A.E. Romero. CoLe and UTAI at BioASQ 2015: experiments with similarity based descriptor assignment. Working Notes for CLEF 2015 Conference. Eds. Linda Cappellato, Nicola Ferro, Gareth J.F. Jones, Eric San Juan. Volume 1391 of CEUR workshop proceedings, 2015. (ISSN 1613-0073) (pdf)
  • F.J. Ribadas, L.M. de Campos, V.M. Darriba, A.E. Romero. CoLe and UTAI participation at the 2014 BioASQ semantic indexing challenge. Working Notes for CLEF 2014 Conference. Eds. Linda Cappellato, Nicola Ferro, Martin Halvey, Wessel Kraaij. Volume 1180 of CEUR workshop proceedings, 1361--1374, 2014. (ISSN 1613-0073) (pdf)
  • E. Vicente-López, L.M. de Campos, J.M. Fernández-Luna, J.F. Huete. Personalization of Parliamentary Document Retrieval using different User Profiles. Proceedings of the 2nd International Workshop on Personalization in eGovernment Services and Applications (PEGOV2014), UMAP 2014 Extended Proceedings, 28-37. Eds. I. Cantador, M. Chi, R. Farzan, R. Jäschke, Volume 1181 of CEUR workshop proceedings, 2014. (ISSN 1613-0073) (pdf)
  • F.J. Ribadas-Pena, L.M. de Campos, V.M. Darriba-Bilbao, A.E. Romero. Two Hierarchical Text Categorization Approaches for BioASQ Semantic Indexing Challenge. Proceedings of the first Workshop on Bio-Medical Semantic Indexing and Question Answering (BioASQ 2013), 32-43. Ed. Axel-Cyrille Ngonga Ngomo, George Paliouras. Volume 1094 of CEUR workshop proceedings, 2013. (ISSN 1613-0073) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, E. Vicente-López. XML search personalization strategies using query expansion, reranking and a search engine modification. Proceedings of the 28th ACM Symposium on Applied Computing, Track on: Information Access and Retrieval, 872-877, 2013. (ISBN 978-1-4503-1656-9) (pdf)
  • S. Acid, L.M. de Campos, M. Fernández. Minimum redundancy maximum relevancy versus score-based methods for learning Markov boundaries. Proceedings of the 11th International Conference on Intelligent Systems Design and Applications (ISDA), 619-623, 2011. (ISBN 978-1-4577-1675-1) (pdf)
  • L.M. de Campos, A. Cano, J.G. Castellano, S. Moral. Bayesian networks classifiers for gene-expression data. Proceedings of the 11th International Conference on Intelligent Systems Design and Applications (ISDA), 1200-1206, 2011. (ISBN 978-1-4577-1675-1) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, C. Martín-Dancausa. A content-based approach to relevance feedback in XML-IR for content and structure queries. Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (KDIR), 418-427, 2010. (ISBN 978-989-8425-28-7) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, A.R. Masegosa, A.E. Romero. Link-based text classification using Bayesian networks. Lecture Notes in Computer Science 6203, Focused Retrieval and Evaluation, Geva, S., Kamps, J., Trotman, A. (Eds.), 397-406, 2010. (ISBN 978-3-642-14555-1) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, M.A. Rueda-Morales. Measuring predictive capability in collaborative filtering. Proceedings of the Third ACM Conference on Recommender Systems, 313-316, 2009. (ISBN 978-1-60558-435) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, C. Martín-Dancausa. A graphic user interface for content and structure queries in XML retrieval. Proceedings of the Third Workshop on Human-Computer Interaction and Information Retrieval, 34-37, 2009. (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, C. Martín-Dancausa, A.E. Romero. New utility models for the Garnata information retrieval system at INEX'08. Lecture Notes in Computer Science 5631, Advances in Focused Retrieval, Geva, S., Kamps, J., Trotman, A. (Eds.), 39-45, 2009. Springer Verlag. (ISBN 978-3-642-03760-3) (pdf)
  • L.M. de Campos}, J.M. Fernández-Luna, J.F. Huete, A.E. Romero. Probabilistic methods for link-based classification at INEX'08. Lecture Notes in Computer Science 5631, Advances in Focused Retrieval, Geva, S., Kamps, J., Trotman, A. (Eds.), 453-459, 2009. Springer Verlag. (ISBN 978-3-642-03760-3) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, C. Martín-Dancausa. Content-oriented relevance feedback in XML-IR using the Garnata information retrieval system. Lecture Notes in Artificial Intelligence 5822, Flexible Query Answering Systems, T. Andreasen, R.R. Yager, H. Bulskov, H. Christiansen, H.L. Larsen (Eds.), 617-628, 2009. Springer Verlag. (ISBN 978-3-642-04956-9) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete. Collaborative recommendations using Bayesian networks and linguistic modelling. Lecture Notes in Artificial Intelligence 5097, Artificial Intelligence and Soft Computing, L. Rutkowski, R. Tadeusiewicz, L.A. Zadeh, J.M. Zurada (Eds.), 1185-1197, 2008. Springer Verlag. (ISBN 978-3-540-69572-1) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, A.E. Romero. Probabilistic Methods for Structured Document Classification at INEX'07. Lecture Notes in Computer Science 4862, Focused Access to XML Documents, N. Fuhr, J. Kamps, M. Lalmas, A. Trotman (Eds.), 195-206, 2008. Springer Verlag. (ISBN 978-3-540-85901-7) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, Carlos Martín-Dancausa, A.E. Romero. The Garnata Information Retrieval System at INEX'07. Lecture Notes in Computer Science 4862, Focused Access to XML Documents, N. Fuhr, J. Kamps, M. Lalmas, A. Trotman (Eds.), 57-69, 2008. Springer Verlag. (ISBN 978-3-540-85901-7) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, C. Martín-Dancausa. An integrated system for accessing the digital library of the parliament of Andalusia: segmentation, annotation and retrieval of transcriptions and videos. The 8th International Workshop on Pattern Recognition in Information Systems (PRIS-2008), 10th International Conference on Enterprise Information Systems (ICEIS), INSTICC Press, 38-47, 2008. (ISBN 978-989-8111-42-5) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, M.A. Rueda-Morales. Hierarchical Naive Bayes models to represent user profiles. Proceedings of the 31st Annual International ACM SIGIR Conference, 711-712, 2008. (ISBN 978-1-60558-164-4) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, C. Martín-Dancausa, M. García-Mesa, F. Gómez-Granados. A video segmentation and annotation tool for parliamentary videos and transcriptions. Proceedings of IADIS Informatics 2008 Conference, 35-42, 2008. (ISBN 978-972-8924-62-1) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, M.A. Rueda-Morales. Using structural knowledge in a content-based recommender system. Proceedings of the 8th International FLINS Conference on Computational Intelligence in Decision and Control, D. Ruan, J. Montero, J. Liu, L. Martínez, P. D'hondt, E.E. Kerre (Eds.), World Scientific Publishing, 871-876, 2008. (ISBN 978-981-279-946-3)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, A.E. Romero. Influence Diagrams and Structured Retrieval: Garnata implementing the SID and CID models at INEX'06. Lecture Notes in Computer Science 4518, Comparative Evaluation of XML Information Retrieval Systems, N. Fuhr, M. Lalmas, A. Trotman (Eds.), 165-177, 2007. Springer Verlag. (ISBN 3-540-73887-8) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, A.E. Romero. Automatic indexing from a thesaurus using Bayesian networks: application to the classification of parliamentary initiatives. Lecture Notes in Artificial Intelligence 4724, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, K. Mellouli (Ed.), 865-877, 2007. Springer Verlag. (ISBN 978-3-540-75255-4) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, M.A. Rueda-Morales. Average and majority gates: combining information by means of Bayesian networks. Lecture Notes in Artificial Intelligence 4724, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, K. Mellouli (Ed.), 572-584, 2007. Springer Verlag. (ISBN 978-3-540-75255-4) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, A.E. Romero. A flexible object-oriented system for teaching and learning structured IR. Proceedings of the First International Workshop on Teaching and Learning of Information Retrieval (TLIR'07), 32-38, 2007. (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, M.A. Rueda-Morales. Group recommending: a methodological approach based on Bayesian networks. Proceedings of IEEE 3rd International Workshop on Web Personalisation, Recommender Systems and Intelligent User Interfaces (WPRSIUI'07), IEEE Computer Society, 835-844, 2007. (ISBN 1-4244-0832-6) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, M.A. Rueda-Morales. Using structural content information for learning user profiles. Proceedings of the Workshop on Information retrieval and applications of graphical models, 30th Annual International ACM SIGIR Conference, 38-45, 2007. (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, M.A. Rueda-Morales. Uso de conocimiento estructurado en un sistema de recomendación basado en contenido. (in spanish) X Congreso Nacional de Matematica y Computación, IV Conferencia Internacional de Matemática y Computación, II Congreso Internacional de Matemática y Computación en la Salud (COMPUMAT 2007), Boletín de la Sociedad Cubana de Matemática y Computación, vol. 5, número especial, 1-6, 2007. (ISSN 1728-6042) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete. A Bayesian network approach to hybrid recommending systems. Proceedings of the Eleventh International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 2158-2165, 2006. (ISBN 2-84254-112-X) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, A.E. Romero. Garnata: An information retrieval system for structured documents based on probabilistic graphical models. Proceedings of the Eleventh International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 1024-1031, 2006. (ISBN 2-84254-112-X) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete, S. Linares. Alhaken: An information retrieval system for the session diaries of the Parliament of Andalucia. Proceedings of the IADIS e-Society 2006 International Conference, vol. II, 133-137, 2006. (ISBN 972-8924-16-X)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete. Improving the context-based influence diagram model for structured document retrieval: removing topological restrictions and adding new evaluation methods. Lecture Notes in Computer Science 3408, Advances in Information Retrieval, D. Losada, J.M. Fernández-Luna (Eds.), 215-229, 2005. Springer Verlag. (ISBN 3-540-25295-9) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, M. Gómez, J.F. Huete . A decision-based approach for recommending in hierarchical domains. Lecture Notes in Artificial Intelligence 3571, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, L. Godo (Ed.), 123-135, 2005. Springer Verlag. (ISBN 3-540-27326-3) (pdf)
  • L.M. de Campos, J.G Castellano. On the use of restrictions for learning Bayesian networks. Lecture Notes in Artificial Intelligence 3571, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, L. Godo (Ed.), 174-185, 2005. Springer Verlag. (ISBN 3-540-27326-3) (pdf)
  • A.H. Brini, L.M. de Campos, D. Dubois, M. Boughanem. Query propagation in possibilistic information retrieval networks. Proceedings of the EUSFLAT-LFA Joint Conference, 1281-1286, 2005 (ISBN 84-7653-872-3) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete. e-Bay.Net: helping users to buy in e-commerce applications. Proceedings of the EUSFLAT-LFA Joint Conference, 565-570, 2005 (ISBN 84-7653-872-3) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete. Generalizing e-Bay.Net: An approach to recommendation based on probabilistic computing. Proceedings of the First International Workshop on Web Personalization, Recommender Systems and Intelligent User Interfaces (WPRSIUI 2005), The Second International Conference on E-Business and Telecommunication Networks, 24-33, 2005. (ISBN 972-8865-38-4)
  • L.M. de Campos, A.A. Fernández-Contreras, J.M. Fernández-Luna, J.F. Huete. A probabilistic graphical model for web retrieval. Proceedings of the Tenth International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), vol. III, 1967-1974, 2004. (ISBN 88-87242-54-2)
  • F. Crestani, L.M. de Campos, J.M. Fernández-Luna, J.F. Huete. A multi-layered Bayesian network model for structured document retrieval. Lecture Notes in Artificial Intelligence 2711, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, T.D. Nielsen, N.L. Zhang (Eds.), 74-86, 2003. Springer Verlag. (ISBN 3-540-40494-5) (pdf)
  • F. Crestani, L.M. de Campos, J.M. Fernández-Luna, J.F. Huete. Ranking structured documents using utility theory in the Bayesian network retrieval model. Lecture Notes in Computer Science 2857, String Processing and Information Retrieval, M.A. Nascimento, E.S. de Moura, A.L. Oliveira (Eds.), 168-182, 2003. Springer Verlag. (ISBN 3-540-20177-7) (pdf)
  • L.M. de Campos, J.A. Gámez, S. Moral. Partial abductive inference in Bayesian networks by using probability trees. Proceedings of the 5th International Conference on Enterprise Information Systems, vol. II, 83-91, 2003. (ISBN 972-98816-1-8)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete. A layered Bayesian network model for document retrieval. Lecture Notes in Computer Science 2291, Advances in Information Retrieval, F. Crestani, M. Girolami, K.J. van Rijsbergen (Eds.), 169-182, 2002. Springer Verlag. (ISBN 3-540-43343-0) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.M. Puerta. Local search methods for learning Bayesian networks using a modified neighborhood in the space of DAGs. Lecture Notes in Artificial Intelligence 2527, Advances in Artificial Intelligence, F.J. Garijo, J.C. Riquelme, M. Toro (Eds.), 182-192, 2002. Springer Verlag. (ISBN 3-540-00131-X) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete. Reducing term to term relationships in an extended Bayesian network retrieval model. Proceedings of the Ninth International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), vol.II, 1195-1202, 2002. (ISBN 2-9516453-2-5)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete. Reducing propagation effort in large polytrees: An application to information retrieval. Proceedings of the First European Workshop on Probabilistic Graphical Models, J.A. Gámez, A. Salmerón (Eds.), 35-44, 2002.
  • L.M. de Campos, J.A. Gámez, J.M. Puerta. Graphical models to causal discovery from data. Proceedings of the First European Workshop on Probabilistic Graphical Models, J.A. Gámez, A. Salmerón (Eds.), 45-53, 2002.
  • Elvira Consortium (al que pertenece L.M. de Campos)\\ Elvira: An environment for probabilistic graphical models. Proceedings of the First European Workshop on Probabilistic Graphical Models, J.A. Gámez, A. Salmerón (Eds.), 222-230, 2002.
  • S. Acid, L.M. de Campos, J.F. Huete. The search of causal orderings: A short cut for learning belief networks. Lecture Notes in Artificial Intelligence 2143, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, S. Benferhat, P. Besnard (Eds.), 216-227, 2001. Springer Verlag. (ISBN 3-540-42464-4) (pdf)
  • L.M. de Campos, J.M. Puerta. Stochastic local algorithms for learning belief networks: Searching in the space of the orderings. Lecture Notes in Artificial Intelligence 2143, Symbolic and Quantitative Approaches to Reasoning with Uncertainty, S. Benferhat, P. Besnard (Eds.), 228-239, 2001. Springer Verlag. (ISBN 3-540-42464-4) (pdf)
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete. Relevance feedback in the Bayesian network retrieval model: An approach based on term instantiation. Lecture Notes in Computer Science 2189, Advances in Intelligent Data Analysis, F. Hoffmann, D.J. Hand, N. Adams, D. Fisher, G. Guimaraes (Eds.), 13-23, 2001. Springer Verlag. (ISBN 3-540-42581-0) (pdf)
  • S. Acid, L.M. de Campos, S. Rodríguez, J.M. Rodríguez, J.L. Salcedo. Using Bayesian networks to model emergency medical services. Lecture Notes in Computer Science 2199, Medical Data Analysis, J. Crespo, V. Maojo, F. Martín (Eds.), 28-34, 2001. Springer Verlag. (ISBN 3-540-42734-1) (pdf)
  • L.M. de Campos, J.M. Puerta. Stochastic local and distributed search algorithms for learning belief networks. Proceedings of the Third International Symposium on Adaptive Systems (ISAS-2001): Evolutionary Computation and Probabilistic Graphical Models, 109-115, 2001. (ISBN 959-7056-14-3)
  • S. Acid, L.M. de Campos, S. Rodríguez, J.M. Rodríguez, J.L. Salcedo. Representing health-care systems using Bayesian networks. An experimental comparison of learning algorithms. Proceedings of the AIME'01 Workshop: Bayesian Models in Medicine, The European Conference on Artificial Intelligence in Medicine, 17-21, 2001.
  • L.M. de Campos, J.M. Fernández-Luna, J.F. Huete. Document instantiation for relevance feedback in Bayesian network retrieval model. Proceedings of the ACM SIGIR MF/IR 2001 Workshop on Mathematical/Formal Methods in Information Retrieval, 10-18, 2001.
  • S. Acid, L.M. de Campos. Learning right sized belief networks by means of a hybrid methodology. Lecture Notes in Artificial Intelligence 1910, Principles of Data Mining and Knowledge Discovery, D.A. Zighed, J. Komorowski, J. Zytkow (Eds.), 309-315, 2000. Springer Verlag. (ISBN 3-540-41066-X) (pdf)
  • L.M. de Campos, J.M. Puerta. Learning dynamic belief networks using conditional independence tests. Proceedings of the Eighth International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), vol.I, 325-332, 2000. (ISBN 84-95479-02-8)
  • L.M. de Campos, J.F. Huete. Approximating causal orderings for Bayesian networks using genetic algorithms and simulated annealing. Proceedings of the Eighth International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), vol.I, 333-340, 2000. (ISBN 84-95479-02-8)
  • L.M. de Campos, J.A. Gámez, S. Moral. On the problem of performing exact partial abductive inference in Bayesian belief networks using junction trees. Proceedings of the Eighth International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), vol.III, 1270-1277, 2000. (ISBN 84-95479-02-8)
  • L.M. de Campos, J.A. Gámez, S. Moral. Fast evaluation of individuals in genetic algorithms for partial abductive inference. Proceedings of the Second International Workshop on Bayesian and Causal Networks: From Inference to Data Mining (CANEW-2000), R. Sanguesa, U. Cortés (Eds.), 14th European Conference on Artificial Intelligence, 2000.
  • L.M. de Campos, J.F. Huete. Probability intervals to handle missing data. Proceedings of the Second International Workshop on Bayesian and Causal Networks: From Inference to Data Mining (CANEW-2000), R. Sanguesa, U. Cortés (Eds.), 14th European Conference on Artificial Intelligence, 2000.
  • L.M. de Campos, J.M. Fernández, J.F. Huete. Building Bayesian network-based information retrieval systems. Proceedings of the Eleventh International Workshop on Database and Expert Systems Applications (DEXA-2000), A.M. Tjoa, R.R. Wagner, A. Al-Zobaidie (Eds.), IEEE Computer Society, 543-550, 2000. (ISBN 0-7695-0680-1) (pdf)
  • S. Acid, L.M. de Campos. Fast algorithms for learning simplified graphical models. Proceedings of the Second International Symposium on Artificial Intelligence, Adaptive Systems (International Conference CIMAF'99), A. Ochoa, M. Soto, R. Santana (Eds.), Academia, 325-331, 1999. (ISBN 959-02-0241-1)
  • M. Soto, A. Ochoa, S. Acid, L.M. de Campos. Introducing the polytree approximation of distribution algorithm. Proceedings of the Second International Symposium on Artificial Intelligence, Adaptive Systems (International Conference CIMAF'99), A. Ochoa, M. Soto, R. Santana (Eds.), Academia, 360-367, 1999. (ISBN 959-02-0241-1)
  • L.M. de Campos, J.M. Fernández, J.F. Huete. Query expansion in information retrieval systems using a Bayesian network-based thesaurus. Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, G. Cooper, S. Moral (Eds.), Morgan and Kaufmann, 53-60, 1998. (ISBN 1-55860-555-X) (pdf)
  • L.M. de Campos, J.F. Huete. A new approach for learning belief networks using independence criteria. Proceedings of the First International Workshop on Causal Networks: From Inference to Data Mining (CANEW'98), R. Sanguesa, U. Cortés (Eds.), 1-12, 1998.
  • L.M. de Campos, J.F. Huete. Algorithms for learning decomposable models and chordal graphs. Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, D. Geiger, P.P. Shenoy (Eds.), Morgan and Kaufmann, 46-53, 1997. (ISBN 1-55860-485-5)
  • L.M. de Campos, J.F. Huete. How to construct possibility measures from a set of marginals. Proceedings of the Sixth International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 757-762, 1996. (ISBN 84-8254-076-9)
  • S. Acid, L.M. de Campos. Benedict: An algorithm for learning probabilistic belief networks. Proceedings of the Sixth International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 979-984, 1996. (ISBN 84-8254-076-9)
  • S. Acid, L.M. de Campos. An algorithm for finding minimum d-separating sets in belief networks. Proceedings of the Twelfth Conference on Uncertainty in Artificial Intelligence, E. Horvitz, F. Jensen (Eds.), Morgan and Kaufmann, 3-10, 1996. (ISBN 1-55860-412-X)
  • L.M. de Campos, J. Gebhardt, R. Kruse. Axiomatic treatment of possibilistic independence. Lecture Notes in Artificial Intelligence 946, Symbolic and Quantitative Approaches to Reasoning and Uncertainty, C. Froidevaux, J. Kohlas (Eds.), 77-88, 1995. Springer Verlag. (ISBN 3-540-60112-0)
  • S. Acid, L.M. de Campos. Approximations of causal networks by polytrees: An empirical study. Lecture Notes in Computer Science 945, Advances in Intelligent Computing, B. Bouchon-Meunier, R.R. Yager, L.A. Zadeh (Eds.), 149-158, 1995. Springer Verlag. (ISBN 3-540-60116-3)
  • L.M. de Campos, J.F. Huete, S. Moral. Uncertainty management using probability intervals. Lecture Notes in Computer Science 945, Advances in Intelligent Computing, B. Bouchon-Meunier, R.R. Yager, L.A. Zadeh (Eds.), 190-199, 1995. Springer Verlag. (ISBN 3-540-60116-3)
  • L.M. de Campos, S. Moral. Independence concepts for convex sets of probabilities. Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence, P. Besnard, S. Hanks (Eds.), Morgan and Kaufmann, 108-115, 1995. (ISBN 1-55860-385-9)
  • L.M. de Campos, J.F. Huete, S. Moral. Possibilistic independence. Proceedings of the Third European Congress on Intelligent Techniques and Soft Computing (EUFIT), 69-73, 1995. (ISBN 3-930911-67-1)
  • L.M. de Campos, J.F. Huete. Uncertainty management using probability intervals. Proceedings of the Fifth International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 431-436, 1994. (ISBN 2-905433-26-4)
  • S. Acid, L.M. de Campos. Approximations of causal networks by polytrees: An empirical study. Proceedings of the Fifth International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 972-977, 1994. (ISBN 2-905433-26-4)
  • L.M. de Campos, J.F. Huete. Learning non probabilistic belief networks. Lecture Notes in Computer Science 747, Symbolic and Quantitative Approaches to Reasoning and Uncertainty, M. Clarke, R. Kruse, S. Moral (Eds.), 57-64, 1993. Springer Verlag. (ISBN 3-540-57395-X)
  • J.F. Huete, L.M. de Campos. Learning causal polytrees. Lecture Notes in Computer Science 747, Symbolic and Quantitative Approaches to Reasoning and Uncertainty, M. Clarke, R. Kruse, S. Moral (Eds.), 180-185, 1993. Springer Verlag. (ISBN 3-540-57395-X)
  • M.J. Bolańos, L.M. de Campos, S. Moral. Propagation of linguistic labels in causal networks. Proceedings of the 2nd IEEE International Conference on Fuzzy Systems, IEEE Computer Society, 863-870, 1993. (ISBN 0-7803-0614-7) (pdf)
  • S. Moral, L.M. de Campos. Partially specified belief functions. Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence, D. Heckerman, A. Mamdani (Eds.), Morgan and Kaufmann, 492-499, 1993. (ISBN 1-55860-258-5)
  • L.M. de Campos, J.F. Huete. Independence concepts in upper and lower probabilities. Proceedings of the Fourth International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 129-132, 1992. (ISBN 84-7632-142-2)
  • R. Molina, L.M. de Campos, J. Mateos. Using bayesian algorithms for learning causal networks in classification problems. Proceedings of the Fourth International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 395-398, 1992. (ISBN 84-7632-142-2)
  • L.M. de Campos, S. Moral. Learning rules for a fuzzy inference model. Proceedings of the 2nd International Conference on Fuzzy Logic and Neural Networks, 253-256, 1992. (ISBN 4-938717-01-8)
  • S. Moral, L.M. de Campos. Updating uncertain information. Lecture Notes in Computer Science 521, Uncertainty in Knowledge Bases, B. Bouchon-Meunier, R.R. Yager, L.A. Zadeh (Eds.), 58-67, 1991. Springer Verlag. (ISBN 3-540-54346-5)
  • S. Acid, L.M. de Campos, A. González, R. Molina, N. Pérez de la Blanca. Learning with CASTLE. Lecture Notes in Computer Science 548, Symbolic and Quantitative Approaches to Uncertainty, R. Kruse, P. Siegel (Eds.), 99-106, 1991. Springer Verlag. (ISBN 3-540-54659-6)
  • L.M. de Campos, A. González. A fuzzy inference model based on an uncertainty forward propagation approach. Proceedings of the IFSA'91 Conference, R. Lowen, M. Roubens (Eds.), vol. Artificial Intelligence 13-16, 1991.
  • S. Acid, L.M. de Campos, A. González, R. Molina, N. Pérez de la Blanca. CASTLE: A tool for Bayesian learning. Proceeding of the ESPRIT'91 Conference, Commission of the European Communities, 363-377, 1991. (ISBN 92-826-2905-8)
  • L.M. de Campos, S. Moral. Propagating uncertain information forward. Proceedings of the Third International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 219-221, 1990. (ISBN 2-9504771-0-0)
  • S. Moral, L.M. de Campos. Updating uncertain information. Proceedings of the Third International Conference of Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU), 452-454, 1990. (ISBN 2-9504771-0-0)
  • L.M. de Campos, S. Moral. Fuzzy measures with different levels of granularity. Proceedings of the Second Joint IFSA-EC and EURO-WG Workshop, 101-104, 1988.