Andrés Cano Utrera

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Andrés Cano Utrera

Administrative data

Full member researcher

  • Position in UGR: Tenure professor
    Department where s/he teaches: Ciencias de la Computación e Inteligencia Artificial
    Research group: TIC-103

Contributions and research experience

Publications in ISI SCI

  • Evaluating interval-valued influence diagrams
    Author-s: Cabanas, Rafael; Antonucci, Alessandro; Cano, Andres; Gomez-Olmedo, Manuel
    Source: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 80 393 411 13th European Conference on Symbolic and Quantitat JUL 15-17, 2015 Compiegne, FRANCE 2017
  • Improvements to Variable Elimination and Symbolic Probabilistic Inference for evaluating Influence Diagrams
    Author-s: Cabanas, Rafael; Cano, Andres; Gomez-Olmedo, Manuel; Madsen, Anders L.
    Source: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 70 13 35 2016
  • Inference in Bayesian Networks with Recursive Probability Trees: Data Structure Definition and Operations
    Author-s: Cano, Andres; Gomez-Olmedo, Manuel; Moral, Serafin; Perez-Ariza, Cora B.; Salmeron, Antonio
    Source: INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS 28 7 623 647 2013
  • Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks
    Author-s: Cano, Andres; Gomez-Olmedo, Manuel; Masegosa, Andres R.; Moral, Serafin
    Source: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 54 4 526 540 11th European Conference on Symbolic and Quantitat JUN 29-JUL 01, 2011 Belfast, Belfast 2013
  • Learning recursive probability trees from probabilistic potentials
    Author-s: Cano, Andres; Gomez-Olmedo, Manuel; Moral, Serafin; Perez-Ariza, Cora B.; Salmeron, Antonio
    Source: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 53 9 1367 1387 2012
  • FAST FACTORISATION OF PROBABILISTIC POTENTIALS AND ITS APPLICATION TO APPROXIMATE INFERENCE IN BAYESIAN NETWORKS
    Author-s: Cano, Andres; Gomez-Olmedo, Manuel; Perez-Ariza, Cora B.; Salmeron, Antonio
    Source: INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS 20 2 223 243 2012
  • A Method for Integrating Expert Knowledge When Learning Bayesian Networks From Data
    Author-s: Cano, Andres; Masegosa, Andres R.; Moral, Serafin
    Source: IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS 41 5 1382 1394 2011
  • Approximate inference in Bayesian networks using binary probability trees
    Author-s: Cano, Andres; Gomez-Olmedo, Manuel; Moral, Serafin
    Source: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 52 1 49 62 10th European Conference on Symbolic and Quantitat JUL 01-03, 2009 Verona, Verona 2011
  • Reasoning with imprecise probabilities
    Author-s: Cano, Andres; Cozman, Fabio G.; Lukasiewicz, Thomas
    Source: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 44 3 197 199 2007
  • Hill-climbing and branch-and-bound algorithms for exact and approximate inference in credal networks
    Author-s: Cano, Andres; Gomez, Manuel; Moral, Serafin; Abellan, Joaquin
    Source: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 44 3 261 280 4th International Symposium on Imprecise Probabili JUL 20-23, 2005 Carnegie Mellon Univ, Carnegie Mellon Univ, Carnegie Mellon Univ 2007
  • A forward-backward Monte Carlo method for solving influence diagrams
    Author-s: Cano, A; Gomez, M; Moral, S
    Source: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 42 1-2 119 135 2nd European Workshop on Probabilistic Graphical M OCT 04-08, 2004 Leiden, Leiden 2006
  • Novel strategies to approximate probability trees in penniless propagation
    Author-s: Cano, A; Moral, S; Salmeron, A
    Source: INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS 18 2 193 203 Conference of the Spanish-Association-for-Artifici NOV 14-16, 2001 GIJON, GIJON 2003
  • Lazy evaluation in Penniless propagation over join trees
    Author-s: Cano, A; Moral, S; Salmeron, A
    Source: NETWORKS 39 4 175 185 2002
  • Strong conditional independence for credal sets
    Author-s: Moral, S; Cano, A
    Source: ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE 35 1-4 295 321 2002
  • Using probability trees to compute marginals with imprecise probabilities
    Author-s: Cano, A; Moral, S
    Source: INTERNATIONAL JOURNAL OF APPROXIMATE REASONING 29 1 1 46 2002
  • Penniless propagation in join trees
    Author-s: Cano, A; Moral, S; Salmeron, A
    Source: INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS 15 11 1027 1059 2000
  • Importance sampling in Bayesian networks using probability trees
    Author-s: Salmeron, A; Cano, A; Moral, S
    Source: COMPUTATIONAL STATISTICS & DATA ANALYSIS 34 4 387 413 2000
  • A memory efficient semi-Naive Bayes classifier with grouping of cases
    Author-s: Abellan, Joaquin; Cano, Andres; Masegosa, Andres R.; Moral, Serafin
    Source: INTELLIGENT DATA ANALYSIS 15 3 299 318 2011

Conferences in ISI CPCI-Science

  • Recursive Probability Trees for Bayesian Networks
    Author-s: Cano, Andres; Gomez-Olmedo, Manuel; Moral, Serafin; Perez-Ariza, Cora B.
    Source: CURRENT TOPICS IN ARTIFICIAL INTELLIGENCE 5988 242 251 13th Conference of the Spanish-Association-for-Art NOV 09-13, 2009 Seville, Seville 2010
  • Fast Factorization of Probability Trees and Its Application to Recursive Trees Learning
    Author-s: Cano, Andres; Gomez-Olmedo, Manuel; Perez-Ariza, Cora B.; Salmeron, Antonio
    Source: COMBINING SOFT COMPUTING AND STATISTICAL METHODS IN DATA ANALYSIS 77 65 72 5th International Conference on Soft Methods in Pr SEP 28-OCT 01, 2010 Oviedo and Mieres, Oviedo and Mieres 2010
  • Binary Probability Trees for Bayesian Networks Inference
    Author-s: Cano, Andres; Gomez-Olmedo, Manuel; Moral, Serafin
    Source: SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, PROCEEDINGS 5590 180 191 10th European Conference on Symbolic and Quantitat JUL 01-03, 2009 Verona, Verona 2009
  • A Bayesian Random Split to Build Ensembles of Classification Trees
    Author-s: Cano, Andres; Masegosa, Andres R.; Moral, Serafin
    Source: SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, PROCEEDINGS 5590 469 480 10th European Conference on Symbolic and Quantitat JUL 01-03, 2009 Verona, Verona 2009
  • A semi-naive Bayes classifier with grouping of cases
    Author-s: Abellan, Joaquin; Cano, Andres; Masegosa, Andres R.; Moral, Serafin
    Source: Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Proceedings 4724 477 488 9th European Conference on Symbolic and Quantitati OCT 31-NOV 02, 2007 Hammamet, Hammamet 2007
  • Selective Gaussian naive Bayes model for Diffuse Large-B-Cell Lymphoma classification: Some improvements in preprocessing and variable elimination
    Author-s: Cano, A; Castellano, JG; Masegosa, AR; Moral, S
    Source: SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, PROCEEDINGS 3571 908 920 8th European Conference on Symbolic and Quantitati JUL 06-08, 2005 Barcelona, Barcelona 2005
  • Methods to determine the branching attribute in Bayesian multinets classifiers
    Author-s: Cano, A; Castellano, JG; Masegosa, AR; Moral, S
    Source: SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, PROCEEDINGS 3571 932 943 8th European Conference on Symbolic and Quantitati JUL 06-08, 2005 Barcelona, Barcelona 2005
  • Algorithms for approximate probability propagation in Bayesian networks
    Author-s: Cano, A; Moral, S; Salmeron, A
    Source: ADVANCES IN BAYESIAN NETWORKS 146 77 99 1st European Workshop on Probabilistic Graphical M NOV, 2002 Cuenca, Cuenca 2004
  • Applying numerical trees to evaluate asymmetric decision problems
    Author-s: Gomez, M; Cano, A
    Source: SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, PROCEEDING 2711 196 207 7th European Conference on Symbolic and Quantitati JUL 02-05, 2003 AALBORG UNIV, AALBORG UNIV, AALBORG UNIV 2003
  • Heuristic algorithms for the triangulation of graphs
    Author-s: Cano, A; Moral, S
    Source: ADVANCES IN INTELLIGENT COMPUTING - IPMU !94 945 98 107 5th International Conference on Information Proces JUL 04-08, 1994 PARIS, PARIS 1995

Book chapters in ISI

  • Comparing Binary and Standard Probability Trees in Credal Networks Inference
    Author-s: Cano, Andres; Gomez-Olmedo, Manuel; Masegosa, Andres R.; Moral, Serafin
    Source: ISIPTA !11 - PROCEEDINGS OF THE SEVENTH INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITY: THEORIES A 109 118 7th International Symposium on Imprecise Probabili JUL 25-28, 2011 Univ Innsbruck, Unit Engn Math, Univ Innsbruck, Unit Engn Math, Univ Innsbruck, Unit Engn Math 2011
  • Credal Nets with Probabilities Estimated with an Extreme Imprecise Dirichlet Model
    Author-s: Cano, A.; Gomez-Olmedo, M.; Moral, S.
    Source: ISIPTA 07-PROCEEDINGS OF THE FIFTH INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITY:THEORIES AND APP 57 66 5th International Symposium on Imprecise Probabili JUL 16-19, 2007 Prague, Prague 2007
  • Application of a hill-climbing algorithm to exact and approximate inference in credal networks
    Author-s: Cano, Andres; Gomez, Manuel; Moral, Serafin
    Source: ISIPTA 05-PROCEEDINGS OF THE FOURTH INTERNATIONAL SYMPOSIUM ON IMPRECISE PROBABILITIES AND THEIR APP 88 97 4th International Symposium on Imprecise Probabili JUL 20-23, 2005 Carnegie Mellon Univ, Carnegie Mellon Univ, Carnegie Mellon Univ 2005

National Projects

  • Modelos Gráficos Probabilisticos para Analítica Escalable de Datos
    Principal Investigator: Andrés Cano Utrera
    Reference: TIN2013-46638-C3-2-P
    Start date: 2014-01-01
    End date: 2017-12-31
    Research Group: TIC-103
    Amount to UGR: 65340.00
    Funding Agency: Ministerio de Economía y Competitividad
    Program: Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia. Subpograma Estatal de Generación de Conocimiento
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  • MINERIA DE DATOS CON PGMS: NUEVOS ALGORITMOS Y APLICACIONES. MD-PGMS-UGR
    Principal Investigator: Andrés Cano Utrera
    Reference: TIN2010-20900-C04-01
    Start date: 2011-01-01
    End date: 2013-12-31
    Research Group: TIC-103
    Amount to UGR: 77682.00
    Funding Agency: Ministerio de Ciencia e Innovación
    Program: Proyectos nacionales de investigación (MICINN)
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  • DISEÑO DE NUEVOS ALGORITMOS EN MGPS. IMPLEMENTACION EN ELVIRA. (MGPS-GR)
    Principal Investigator: Andrés Cano Utrera
    Reference: TIN2007-67418-C03-03
    Start date: 2007-01-10
    End date: 2011-03-31
    Research Group: TIC-103
    Amount to UGR: 122210.00
    Funding Agency: Ministerio de Educación y Ciencia
    Program: Proyectos nacionales de investigación (MEC)
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Research Contracts through OTRI

  • OTRI-2751
    Principal Investigator: Andrés Cano Utrera
    Start date: 2009-09-01
    End date: 2009-12-31
    Research Group: TIC-103
    Company: GOBILE

Doctoral Dissertations supervised

  • New methods and data structures for evaluating influence diagrams
    Author: Rafael Cabañas de Paz
    Institution: Ciencias de la Computación e Inteligencia Artificial (UGR),
    Dissertation date: 2017-05-09
    Supervision: Andrés Cano Utrera, Manuel Gómez Olmedo
    Special mention: internacional
  • New data structures and algorithms for uncertainty treatment with probabilistic graphical models
    Author: Cora Beatriz Pérez Ariza
    Institution: Ciencias de la Computación e Inteligencia Artificial (UGR),
    Dissertation date: 2013-07-19
    Supervision: Andrés Cano Utrera, Manuel Gómez Olmedo, Antonio Salmerón Cerdán
    Special mention: internacional
  • Modelos Bayesianos para la Clasificación Supervisada. Aplicaciones al Análisis de Datos de Expresión Genética
    Author: Francisco Javier García Castellano
    Institution: Ciencias de la Computación e Inteligencia Artificial (UGR),
    Dissertation date: 2009-12-11
    Supervision: Andrés Cano Utrera, Luis Miguel de Campos Ibáñez, Serafín Moral Callejón
  • Models of Supervised Classification. Applications to Genomics and Information Retrieval
    Author: Andrés Ramón Masegosa Arredondo
    Institution: Ciencias de la Computación e Inteligencia Artificial (UGR),
    Dissertation date: 2009-05-15
    Supervision: Andrés Cano Utrera, Serafín Moral Callejón
    Special mention: europea
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