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M. Julia Flores
2010 – today
- 2012
[c13]Ana M. Martínez, Geoffrey I. Webb, M. Julia Flores, José A. Gámez: Non-Disjoint Discretization for Aggregating One-Dependence Estimator Classifiers. HAIS (2) 2012: 151-162- [c12]Pablo Bermejo, Luis Redondo, Luis delaOssa, Daniel Rodríguez, M. Julia Flores, Carmen Urea, José A. Gámez, Jesus Martínez-Gómez, José Miguel Puerta: Evaluation of a Thermal-Comfort Control System Using Real Data. KES 2012: 746-755
- [e1]Ann Nicholson, John Mark Agosta, M. Julia Flores (Eds.): Proceedings of the Ninth UAI Bayesian Modeling Applications Workshop, Catalina Island, United States, August 18, 2012. CEUR Workshop Proceedings 962, CEUR-WS.org 2012
- [i1]M. Julia Flores, José A. Gámez, Kristian G. Olesen: Incremental Compilation of Bayesian networks. CoRR abs/1212.2456 (2012)
- 2011
- [j6]M. Julia Flores, José A. Gámez, Ana M. Martínez, José Miguel Puerta: Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter? Appl. Intell. 34(3): 372-385 (2011)
- [j5]M. Julia Flores, Ann E. Nicholson, Andrew Brunskill, Kevin B. Korb, Steven Mascaro: Incorporating expert knowledge when learning Bayesian network structure: A medical case study. Artificial Intelligence in Medicine 53(3): 181-204 (2011)
- [j4]M. Julia Flores, José A. Gámez, Kristian G. Olesen: Incremental Compilation of Bayesian Networks Based on Maximal Prime Subgraphs. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 19(2): 155-191 (2011)
- [c11]M. Julia Flores, José A. Gámez, Ana M. Martínez, Antonio Salmerón: Mixture of truncated exponentials in supervised classification: Case study for the naive bayes and averaged one-dependence estimators classifiers. ISDA 2011: 593-598
- 2010
- [c10]M. Julia Flores, José A. Gámez, Ana M. Martínez, José Miguel Puerta: Analyzing the Impact of the Discretization Method When Comparing Bayesian Classifiers. IEA/AIE (1) 2010: 570-579
2000 – 2009
- 2009
- [c9]M. Julia Flores, José A. Gámez, Jens Dalgaard Nielsen: The PDG-Mixture Model for Clustering. DaWaK 2009: 378-389
- [c8]M. Julia Flores, José A. Gámez, Ana M. Martínez, Jose Miguel Puerta: HODE: Hidden One-Dependence Estimator. ECSQARU 2009: 481-492
- [c7]M. Julia Flores, José A. Gámez, Ana M. Martínez, Jose Miguel Puerta: GAODE and HAODE: two proposals based on AODE to deal with continuous variables. ICML 2009: 40
- 2008
- [p1]M. Julia Flores, José A. Gámez, Serafín Moral: Use of Explanation Treesto Describe the State Space of a Probabilistic-Based Abduction Problem. Innovations in Bayesian Networks 2008: 251-280
- 2007
- [j3]Luis de la Ossa, M. Julia Flores, José A. Gámez, Juan L. Mateo, Jose Miguel Puerta: Initial breeding value prediction on Manchego sheep by using rule-based systems. Expert Syst. Appl. 33(1): 96-109 (2007)
- 2006
- [j2]M. Julia Flores, José A. Gámez, Juan L. Mateo, Jose Miguel Puerta: Seleccion genetica para la mejora de la raza ovina manchega mediante tecnicas de Mineria de Datos. Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial 10(29): 69-77 (2006)
- [c6]M. Julia Flores, José A. Gámez, Serafín Moral: The Independency tree model: a new approach for clustering and factorisation. Probabilistic Graphical Models 2006: 83-90
- 2005
- [c5]M. Julia Flores, José A. Gámez, Serafín Moral: Abductive Inference in Bayesian Networks: Finding a Partition of the Explanation Space. ECSQARU 2005: 63-75
- [c4]M. Julia Flores, José A. Gámez: Breeding Value Classification in Manchego Sheep: A Study of Attribute Selection and Construction. KES (2) 2005: 1338-1346
- 2003
- [j1]M. Julia Flores, José A. Gámez: Triangulation of Bayesian networks by retriangulation. Int. J. Intell. Syst. 18(2): 153-164 (2003)
- [c3]Olav Bangsø, M. Julia Flores, Finn Verner Jensen: Plug & Play Object Oriented Bayesian Networks. CAEPIA 2003: 457-467
- [c2]M. Julia Flores, José A. Gámez, Kristian G. Olesen: Incremental compilation of Bayesian networks. UAI 2003: 233-240
- 2002
- [c1]M. Julia Flores, José A. Gámez: Applicability of Estimation of Distribution Algorithms to the Fuzzy Rule Learning Problem: A Preliminary Study. ICEIS 2002: 350-357
Coauthor Index
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last updated on 2013-10-02 10:59 CEST by the dblp team