Andrés Cano PUBLICATIONS


PhD Thesis / Tesis Doctoral


Propagación aproximada de intervalos de probabilidad en grafos de dependencias Universidad de Granada. Septiembre, 1999. (compressed postscript version) 
 
 


Journals / Revistas


  • A. Salmerón, A. Cano, S. Moral (2000) Importance sampling in Bayesian networks using probability trees. Computational Statistics and Data Analysis, Vol. 34, pages 387-413 . (abstract) (Abstract) (Full text)
  • A. Cano, S. Moral, A. Salmerón (2000) Penniless Propagation in Join Trees. International Journal of Intelligent Systems. Volume 15, Issue 11, pages 1027-1059. (abstract in this web) (Abstract) (Full text)
  • A. Cano, S. Moral (2002) Using probability trees to compute marginals with imprecise probabilities. International Journal of Approximate Reasoning. Volume 29, Issue 1, pages 1-46.  (Abstract) (Full text)
  • A. Cano, S. Moral (2002) Strong Conditional Independence for Credal Sets.Annals of Mathematics and Artificial Intelligence 35, 295-321.  (Abstract) (Full text)
  • A. Cano, S. Moral, A. Salmerón (2002) Diferentes estrategias para aproximar árboles de probabilidad en propagación Penniless.Inteligencia Artificial. Revista Iberomericana de Inteligencia Artificial 15, 10-18.  (Full text)
  • A. Cano, S. Moral, A. Salmerón (2002) Lazy evaluation in Penniless propagation over join trees. Networks 39, 175-185.  (Abstract) (Full text)
  • A. Cano, J.M. Fernández-Luna,  S. Moral (2002) Computing intervals of probabilities with simulated annealing and probability trees. Journal of Applied Non-Classical Logics. Volume 12(2), 151-171. 
    A. Cano, S. Moral, A. Salmerón (2003) Novel strategies to approximate probability trees in Penniless propagation. International Journal of Intelligence Systems, Volume 18, 193-203.  (Abstract) (Full text)
    Andrés Cano, Manuel Gómez, Serafín Moral , (2006). A forward-backward Monte Carlo method for solving influence diagrams.International Journal of Approximate Reasoning. Volume 42, pages 119-135. (Abstract and fulltext)
    Andrés Cano, Manuel Gómez, Serafín Moral, Joaquín Abellán, (2007). Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks .International Journal of Approximate Reasoning. Volume 44, Issue 3, pages 261-280. (Abstract and fulltext)
    Andrés Cano, Manuel Gómez, Serafín Moral, Joaquín Abellán, (2007). Reasoning with imprecise probabilities (editorial).International Journal of Approximate Reasoning. Volume 44, Issue 3, pages 197-199. (Abstract and fulltext)


    Book chapters / Capítulos de libro


  • A. Cano, S. Moral. (1995) Heuristic Algorithms for the Triangulation of Graphs. Lectures Notes in Computer Sciences 945: Advances in Intelligent Computing IPMU94. pag 98-107 (B. Bouchon-Meunier, R.R. Yager and I.A. Zadeh eds.), Springer-Verlag, (Berlin, 1995). ISBN: 3-540-60116-3. (abstract in this web) (full paper in this web) 
  • A. Cano, S. Moral (2000) Algorithms for Imprecise Probabilities. Handbook of Defeasible Reasoning and Uncertainty Management Systems, Vol. 5, pag. 369-420 (D.M. Gabbay, Ph. Smets, eds). Kluwer Academic Publishers (Dordrecht, 2000). ISBN: 0-7923-6672-7 
  • A. Cano, S. Moral. (2001) Computing Intervals of Probabilities with Simulated Annealing and Probability Trees. Lectures Notes in Artificial Intelligence, Vol 2143: Symbolic and Quantitative Approaches to Reasoning with Uncertainty, pag 278-289 (6th European Conference, ECSQARU 2001, Toulousse, France, September 2001 Proceedings). (S. Benferhat, P. Besnard eds.), Springer-Verlag, (2001). ISBN: 3-540-42464-4 
  • M. Gómez, A. Cano. (2003) Applying numerical trees to evaluate asymmetric decision problems. Lectures Notes in Artificial Intelligence, Vol 2711: Symbolic and Quantitative Approaches to Reasoning with Uncertainty, pag 196-207 (7th European Conference, ECSQARU 2003, Aalborg, Denmark, July 2003 Proceedings). (Thomas Dyhre Nielsen, Nevin Lianwen Zhang eds.), Springer-Verlag, (2003). ISSN:  0302-9743. ISBN: 3-540-40494-5. (Abstract) (Full text)
    A. Cano, S. Moral, A. Salmerón (2004) Algorithms for approximate probability propagation  in Bayesian Networks. Studies in Fuzzines and Soft Computing: Advances in Bayesian Networks.  Vol. 146, pag. 77-99 (José A. Gámez, Serafín Moral, Antonio Salmerón, eds). Springer-Verlag, (Berlin, 2004). ISSN: 1434-9922 ISBN: 3-540-20876-3 
    Silvia Acid, José Luis Bernier, Marcelino Cabrera, Andrés Cano, Juan Manuel Fernández, Manuel Gómez, Francisco Luis Gutierrez, Juan Francisco Huete, Alejandro Leon Salas, María Visitación Hurtado, Patricia Paderewski, Manuel Rodríguez, José Samos, Evangelina Santos, Javier Ramírez (2005). Orientación y tutoría en la Universidad de Granada,  pag. 123-160. Universidad de Granada (Granada).
    Andrés Cano, Javier García Castellano, Andrés R. Masegosa, Serafín Moral, (2005). Selective Gaussian naive Bayes model for diffuse large B-cell lymphoma classification: Some Improvements in Preprocessing and Variable Elimination. Lectures Notes in Artificial Intelligence, Vol 3571: Symbolic and Quantitative Approaches to Reasoning with Uncertainty, pag 908-920 (8th European Conference, ECSQARU 2005, Barcelona, Spain, July 2005 Proceedings). (L. Godo Ed.), Springer-Verlag, (2005). ISSN:  0302-9743 ISBN: 3-540-27326-3. (Abstract) (Full text)
    Andrés Cano, Javier García Castellano, Andrés R. Masegosa, Serafín Moral, (2005). Methods to Determine the Brancking Attribute in Bayesian Multinets. Lectures Notes in Artificial Intelligence, Vol 3571: Symbolic and Quantitative Approaches to Reasoning with Uncertainty, pag 932-943 (8th European Conference, ECSQARU 2005, Barcelona, Spain, July 2005 Proceedings). (L. Godo Ed.), Springer-Verlag, (2005). ISSN:  0302-9743 ISBN: 3-540-27326-3. (Abstract) (Full text)

    International conferences/Congresos internacionales


  • A. Cano, S. Moral. (1994) Heuristic Algorithms for the Triangulation of Graphs. Proceedings of the Fifth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, pag 166-171 (IPMU94, Paris 1994). (abstract) (full paper) 
  • A. Cano, J.E. Cano, S. Moral. (1994) Convex Sets of Probabilities Propagation by Simulated Annealing Proceedings of the Fifth International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, pag 978-983 (IPMU94, Paris 1994). (abstract) (full paper) 
  • A. Cano and S. Moral. (1996). A Genetic algorithm to approximate convex sets of probabilities. In Proceedings of the Six International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU-96, Granada 1996), Vol. II, pag 847-852. (abstract) (full paper)
  • A. Cano and S. Moral. (1997). Using Classification Trees to Represent Potentials in Probabilistic Causal Networks. EURO XV/INFORMS XXXIV Join International Meeting (Barcelona, July 1997)
  • A. Cano and S. Moral. (1999) A Review of Propagation Algorithms for Imprecise Probabilities Proceedings of the First International Symposium on Imprecise Probabilities an Their Applications, pag 51-60 (ISIPTA99, Ghent, June 1999) (abstract)  
  • SILVIA ACID CARRILLO; LUIS MIGUEL DE CAMPOS IBAÑEZ; ANDRÉS CANO UTRERA; JOSÉ ANTONIO GÁMEZ MARTÍN; MANUEL GÓMEZ OLMEDO; LUIS DANIEL HERNÁNDEZ MOLINERO; JUAN FRANCISCO HUETE GUADIX; PEDRO LARRAÑAGA MÚGICA; IRENE MARTINEZ MASEGOSA; SERAFÍN MORAL CALLEJÓN; JOSÉ MIGUEL PUERTA CALLEJÓN; FERNANDO RECHE LORITE; CARMELO RODRIGUEZ TORREBLANCA; RAFAEL RUMI RODRIGUEZ; JOSE DEL SAGRADO MARTINEZ; ANTONIO SALMERÓN CERDÁN; FRANCISCO JOSÉ SOLER FLORES (2002)  Elvira: An Environment for Probabilistic Graphical Models.  Proceedings of the first European Workshop on Probabilistic Graphical Models, pag 222-230 (PGM'02 Cuenca, November 2002)
    A. Cano, J.G. Castellano A.R. Masegosa and S. Moral. (2004) Application of a Selective Gaussian Naïve Bayes Model for Diffuse Large-B-Cell Lymphoma Classification Proceedings of the second European Workshop on Probabilistic Graphical Models, pag 33-40 (PGM'04, Leiden (Holland), November 2004)
    A. Cano, M. Gómez and S. Moral. (2004) A forward-backward Monte Carlo method for solving influence diagrams Proceedings of the second European Workshop on Probabilistic Graphical Models, pag 41-48 (PGM'04, Leiden (Holland), November 2004)


    National conferences/Congresos nacionales


  • A. Cano and M. Lamata. (1994). Valuaciones y Conjuntos Convexos de Probabilidad. Actas del IV Congreso Español sobre Tecnologías y Lógica Fuzzy, pag 91-96 (Fuzzy'94).
  • A. Cano and S. Moral. (1997). Propagación Exacta y Aproximada Mediante Arboles de Probabilidad en Redes Causales. Actas de la VII conferencia de la Asociación Española para la Inteligencia Artificial, pag 635-644 (CAEPIA'97, Málaga, noviembre 1997). (abstract)
  • A. Cano, S. Moral and A. Salmerón. (2001). Different strategies to approximate probability trees in Penniless propagation. Actas de la IX conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA'2001), Vol II, pag 1045-1054 (Gijón, noviembre 2001).
  • F. J. G. Castellano, S. Moral and A. Cano. (2003). Árboles de Clasificación usando una Estimación Bayesiana. Actas de la X conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA'2003),  (San Sebastián, noviembre 2003).


    Technical reports/Informes Técnicos


  • #DECSAI-93-02-xx, A. Cano, J.E. Cano and S. Moral, Simulation algorithms for convex sets of probabilities, (31 pages) 1993. (abstract) (full paper)
  • #DECSAI-00-02-14, A. Cano, S. Moral, Using Probabilities Trees to Compute Marginals with Imprecise Probabilites, (43 pages) May, 2000. (abstract) (full paper)
  • #DECSAI-00-02-15, A. Cano, S. Moral, A. Salmerón, Lazy Evaluation in Penniless Propagation over Join Trees, (25 pages) July, 2000. (abstract) (full paper)
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