Research

Publications:

Julia Flores, José A. Gámez and Ana M. Martínez. Domains of competence of the semi-naive Bayesian network classifiers. INFORMATION SCIENCES, 2013 (in press).

Ana M. Martínez. Ph.D. Thesis: New models and algorithms for semi-naive Bayesian classification focused on the AODE paradigm. (PDF, slides).
Julia Flores, José A. Gámez and Ana M. Martínez. Meta-prediction of semi-naive Bayesian network classifiers based on dataset complexity characterization. In Proceedings of the 6th European Workshop on Probabilistic Graphical Models (PGM 2012), 107-114, AAAI Press. (PDF).
Julia Flores, José A. Gámez and Ana M. Martínez. Supervised Classification with Bayesian networks: A Review on Models and Applications. Intelligent Data Analysis for Real-Life Applications: Theory and Practice. IGI Global, 2012. 72-102. Web. 10 Jun. 2013. (DOI:10.4018/978-1-4666-1806-0.ch005).
Ana M. Martínez, Geoffrey I. Webb, Julia Flores and José A. Gámez. Non-disjoint discretization for aggregating one-dependence estimator classifiers. In International Conference on Hybrid Artificial Intelligence Systems, HAIS 2012, 151-162. (DOI:10.1007/978-3-642-28931-6 15, slides).
Pablo Bermejo, José A. Gámez, Ana M. Martínez and José M. Puerta. Estimation of Distribution Algorithms for Simultaneous Instance-Feature Selection. In the 8th Spanish conference on metaheuristics, evolutionary and bio-inspired algorithms (MAEB 2012), 31-38, in Spanish. (slides).

M. Julia Flores, José A. Gámez, Ana M. Martínez and Antonio Salmerón. Mixture of Truncated Exponentials in Supervised Classification: case study for Naive Bayes and Averaged One-Dependence Estimators. In 11th International Conference on Intelligent Systems design and Applications (ISDA 2011), 593–598, (DOI: 10.1109/ISDA.2011.6121720, slides).
M. Julia Flores, José A. Gámez, Ana M. Martínez and José M. Puerta, Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter?, APPLIED INTELLIGENCE, 2011, (DOI: 10.1007/s10489-011-0286-z).

M. Julia Flores, José A. Gámez, Ana M. Martínez and José M. Puerta, Analyzing the Impact of the Discretization Method when Comparing Bayesian Classifiers, The Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems IEA-AIE 2010 , 2010, pp. 570-579 (DOI: 10.1007/978-3-642-13022-9_57, slides).
Shengtong Zhong, Ana M. Martínez, Thomas D. Nielsen, and Helge Langseth (2010): Towards a More Expressive Model for Dynamic Classification, The 23rd Florida Artificial Intelligence Research Society Conference, pp. 563-564. AAAI, Florida, USA. (PDF)
M. Julia Flores, José A. Gámez, Ana M. Martínez and José M. Puerta, Deux nouveaux classifieurs basés sur AODE afin de traiter variables continues, Les 5èmes Journées Francophones sur les Réseaux Bayésiens (JFRB), 2010, Société FranÇise de Statistiques (SFdS) - Association int. francophone d'EGC, in French (PDF, slides).

M. Julia Flores and José A. Gámez and Ana M. Martínez and José M. Puerta, GAODE and HAODE: Two Proposals Based on AODE to Deal with Continuous Variables, Proceedings of the 26th International Conference on Machine Learning, 2009, Léon Bottou and Michael Littman, pp. 313--320, june, Omnipress, (PDF, slides).
M. Julia Flores and José A. Gámez and Ana M. Martínez and José Miguel Puerta, HODE: Hidden One-Dependence Estimator, ECSQARU, 2009, Claudio Sossai and Gaetano Chemello, 5590, Lecture Notes in Computer Science, pp. 481-492, URL, AODE - SPODE - ODE - Bayesian Networks - Bayesian Classifiers - Classification, (DOI: 10.1007/978-3-642-02906-6_42, slides).
M. Julia Flores, José A. Gámez, Ana M. Martínez and José M. Puerta, Study and Comparative of different Discretization Methods on Bayesian network Classifiers, In the 13rd Conference of the Spanish Association for Artificial Intelligence (CAEPIA) , 2009, pp. 265-274, in Spanish. (slides)