Andrés Cano publications

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

Journals / Revistas

Rafael Cabañas de Paz, Alexandro Antonucci, Manuel Gómez-Olmedo, Andrés Cano (2017). Evaluating Interval-Valued Influence Diagrams. International Journal of Approximate Reasoning, 80: 393-411.
Rafael Cabañas de Paz, Andrés Cano, Manuel Gómez-Olmedo, A. Madsen (2016). Improvements to Variable Elimination and Symbolic Probabilistic Inference for Evaluating Influence Diagrams. International Journal of Approximate Reasoning, 70: 13-35.
Rafael Cabañas de Paz, Andrés Cano, Manuel Gómez-Olmedo (2016). Using binary trees for the evaluation of influence diagrams. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 24 (1): 59-89.
Andrés Cano, Manuel Gómez-Olmedo, C.B. Pérez-Ariza (2015). An extended approach to learning recursive probability trees from data. International Journal of Intelligent Systems, 30: 355-383.
Andrés Cano, Manuel Gómez-Olmedo, Thomas D. Nielsen (2014). Editorial: Special Issue on PGM-2012. International Journal of Approximate Reasoning, 55.
Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza, A. Salmerón (2013). Inference in Bayesian Networks with Recursive Probability Trees: Data Structure Definition and Operations. International Journal of Intelligent Systems, vol. 28: 623-647.
Andrés Cano, Manuel Gómez-Olmedo, A. Masegosa, Serafín Moral (2013). Locally Averaged Bayesian Dirichlet Metrics for Learning the Structure and the Parameters of Bayesian Networks. International Journal of Approximate Reasoning, vol. 54: 526-540.
Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral, Cora B. Pérez-Ariza, Antonio Salmerón (2012). Learning recursive probability trees from probabilistic potentials. International Journal of Approximate Reasoning, vol. 53: 1367-1387.
Andrés Cano, Manuel Gómez-Olmedo, Cora B. Pérez-Ariza, Antonio Salmerón (2012). Fast factorisation of probabilistic potentials and its application to approximate inference in Bayesian networks. International Journal of Uncertainty, Fuzziness and Knowledge-based Systems, vol. 20: 223—243.
Andrés Cano, Manuel Gómez-Olmedo, Serafín Moral (2011). Approximate inference in Bayesian networks using binary probability trees. International Journal of Approximate Reasoning 52 (1): 49-62
Joaquín Abellán, Andrés Cano, Andrés R. Masegosa, Serafín Moral (2011). A memory efficient semi-Naive Bayes classifier with grouping of cases. Intelligent Data Analysis 15 (3): 299-318
Andrés Cano, M. Gomez-Olmedo, Andrés R. Masegosa, Serafín Moral (2011). A method for integrating expert knowledge when learning Bayesian Networks from data. IEEE Systems, Man and Cybernetics - Part B, vol 41(5): 1382-1394
Andrés Cano, Fabio G. Cozman, Thomas Lukasiewicz (2007). Reasoning with imprecise probabilities (editorial). International Journal of Approximate Reasoning, 44 (3): 197-199. (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(3): 261-280. (Abstract and fulltext)
Andrés Cano, Manuel Gómez, Serafín Moral (2006). A forward-backward Monte Carlo method for solving influence diagrams. International Journal of Approximate Reasoning, 42: 119-135. (Abstract and fulltext)
Andrés Cano, Serafín Moral, Antonio Salmerón (2003) Novel strategies to approximate probability trees in Penniless propagation. International Journal of Intelligence Systems, 18, 193-203. (Abstract) (Full text)
Andrés Cano, J.M. Fernández-Luna, Serafín Moral (2002) Computing intervals of probabilities with simulated annealing and probability trees. Journal of Applied Non-Classical Logics, 12(2): 151-171.
Andrés Cano, Serafín Moral, Antonio Salmerón (2002) Lazy evaluation in Penniless propagation over join trees. Networks, 39: 175-185. (Abstract) (Full text)
Andrés Cano, Serafín Moral, Antonio Salmerón (2002) Diferentes estrategias para aproximar árboles de probabilidad en propagación Penniless. Inteligencia Artificial. Revista Iberomericana de Inteligencia Artificial, 15: 10-18. (Full text)
Andrés Cano, Serafín Moral (2002) Strong Conditional Independence for Credal Sets. Annals of Mathematics and Artificial Intelligence ,35: 295-321. (Abstract) (Full text)
Andrés Cano, Serafín Moral (2002) Using probability trees to compute marginals with imprecise probabilities. International Journal of Approximate Reasoning, 29 (1): 1-46. (Abstract) (Full text)
Andrés Cano, Serafín Moral, Antonio Salmerón (2000) Penniless Propagation in Join Trees. International Journal of Intelligent Systems, 15: (11): 1027-1059. (abstract in this web) (Abstract) (Full text)
Antonio Salmerón, Andrés Cano, Serafín Moral (2000) Importance sampling in Bayesian networks using probability trees. Computational Statistics and Data Analysis, 34: 387-413. (abstract) (Abstract) (Full text)

Andrés Cano, Serafín 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)
Andrés Cano, Serafín 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
Andrés Cano, Serafín 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
Manuel Gómez, Andrés 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)
Andrés Cano, Serafín Moral, Antonio 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)

Andrés Cano, Serafín 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)

Andrés Cano, Serafín 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

Andrés Cano, Serafín 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

Manuel Gómez, Andrés 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)

Andrés Cano, Serafín Moral, Antonio 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)

Andrés Cano, Serafín 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)
Andrés Cano, J.E. Cano, Serafín 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)
Andrés Cano and Serafín 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)
Andrés Cano and Serafín Moral. (1997). Using Classification Trees to Represent Potentials in Probabilistic Causal Networks. EURO XV/INFORMS XXXIV Join International Meeting (Barcelona, July 1997)
Andrés Cano and Serafín 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)
Andrés Cano, J.G. Castellano A.R. Masegosa and Serafín 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)
Andrés Cano, Manuel Gómez and Serafín 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)

Andrés Cano, Serafín 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)

Andrés Cano, J.E. Cano, Serafín 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)

Andrés Cano and Serafín 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)

Andrés Cano and Serafín Moral. (1997). Using Classification Trees to Represent Potentials in Probabilistic Causal Networks. EURO XV/INFORMS XXXIV Join International Meeting (Barcelona, July 1997)

Andrés Cano and Serafín 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)

Andrés Cano, J.G. Castellano A.R. Masegosa and Serafín 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)

Andrés Cano, Manuel Gómez and Serafín 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)

Andrés 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).
Andrés Cano and Serafín 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)
Andrés Cano, Serafín Moral and Antonio 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, Serafín Moral and Andrés 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).

Andrés 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).

Andrés Cano and Serafín 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)

Andrés Cano, Serafín Moral and Antonio 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, Serafín Moral and Andrés 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).

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

#DECSAI-93-02-xx, Andrés Cano, J.E. Cano and Serafín Moral, Simulation algorithms for convex sets of probabilities, (31 pages) 1993. (abstract) (full paper)

#DECSAI-00-02-14, Andrés Cano, Serafín Moral, Using Probabilities Trees to Compute Marginals with Imprecise Probabilites, (43 pages) May, 2000. (abstract) (full paper)

#DECSAI-00-02-15, Andrés Cano, Serafín Moral, Antonio Salmerón, Lazy Evaluation in Penniless Propagation over Join Trees, (25 pages) July, 2000. (abstract) (full paper)

Andrés Cano PUBLICATIONS

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PhD Thesis / Tesis Doctoral

Journals / Revistas

Book chapters / Capítulos de libro

International conferences/Congresos internacionales

National conferences/Congresos nacionales

Technical reports/Informes Técnicos