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M. Julia Flores
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Publications
- 2015
- [c14]M. Julia Flores, José A. Gámez:
Impact on Bayesian Networks Classifiers When Learning from Imbalanced Datasets. ICAART (2) 2015: 382-389 - 2014
- [j7]M. Julia Flores, José A. Gámez, Ana M. Martínez:
Domains of competence of the semi-naive Bayesian network classifiers. Inf. Sci. 260: 120-148 (2014) - 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 - [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) - [j4]M. Julia Flores, José A. Gámez, Kristian G. Olesen:
Incremental Compilation of Bayesian Networks Based on Maximal Prime Subgraphs. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 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 - 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, José Miguel Puerta:
HODE: Hidden One-Dependence Estimator. ECSQARU 2009: 481-492 - [c7]M. Julia Flores, José A. Gámez, Ana M. Martínez, José Miguel Puerta:
GAODE and HAODE: two proposals based on AODE to deal with continuous variables. ICML 2009: 313-320 - 2008
- [p2]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, José 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, José Miguel Puerta:
Seleccion genetica para la mejora de la raza ovina manchega mediante tecnicas de Mineria de Datos. Inteligencia Artif. 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 - [p1]M. Julia Flores, José A. Gámez, José Miguel Puerta:
Learning Linguistic Fuzzy Rules by Using Estimation of Distribution Algorithms as the Search Engine in the COR Methodology. Towards a New Evolutionary Computation 2006: 259-280 - 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) - [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
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