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Ana M. Martínez
Ana M. Martínez
Joint Research Center, European Commission
Verified email at ec.europa.eu
Title
Cited by
Cited by
Year
Scalable Learning of Bayesian Network Classifiers
AM Martinez, GI Webb, S Chen, NA Zaidi
Journal of Machine Learning Research 17, 1-35, 2016
592016
Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter?
MJ Flores, JA Gámez, AM Martínez, JM Puerta
Applied Intelligence 34 (3), 372-385, 2011
512011
Domains of competence of the semi-naive Bayesian network classifiers
MJ Flores, JA Gámez, AM Martínez
Information Sciences 260, 120-148, 2014
332014
GAODE and HAODE: two proposals based on AODE to deal with continuous variables
MJ Flores, JA Gámez, AM Martínez, JM Puerta
Proceedings of the 26th annual international conference on machine learning …, 2009
272009
Modeling concept drift: A probabilistic graphical model based approach
H Borchani, AM Martínez, AR Masegosa, H Langseth, TD Nielsen, ...
International symposium on intelligent data analysis, 72-83, 2015
262015
Sample-Based Attribute Selective A DE for Large Data
S Chen, AM Martinez, GI Webb, L Wang
IEEE Transactions on Knowledge and Data Engineering 29 (1), 172-185, 2016
242016
AMIDST: A Java toolbox for scalable probabilistic machine learning
AR Masegosa, AM Martínez, D Ramos-López, R Cabańas, A Salmerón, ...
Knowledge-Based Systems 163, 595-597, 2019
222019
Selective AnDE for large data learning: a low-bias memory constrained approach
S Chen, AM Martínez, GI Webb, L Wang
Knowledge and Information Systems 50 (2), 475-503, 2017
212017
Supervised Classification with Bayesian Networks: A Review on Models and Applications
MJ Flores, JA Gámez, AM Martínez
Intelligent Data Analysis for Real-Life Applications: Theory and Practice …, 2012
202012
HODE: Hidden one-dependence estimator
MJ Flores, JA Gámez, AM Martínez, JM Puerta
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2009
182009
Probabilistic graphical models on multi-core CPUs using Java 8
AR Masegosa, AM Martinez, H Borchani
IEEE Computational Intelligence Magazine 11 (2), 41-54, 2016
172016
Highly scalable attribute selection for averaged one-dependence estimators
S Chen, AM Martinez, GI Webb
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 86-97, 2014
162014
Scaling up Bayesian variational inference using distributed computing clusters
AR Masegosa, AM Martinez, H Langseth, TD Nielsen, A Salmerón, ...
International Journal of Approximate Reasoning 88, 435-451, 2017
132017
Parallel importance sampling in conditional linear Gaussian networks
A Salmerón, D Ramos-López, H Borchani, AM Martínez, AR Masegosa, ...
Conference of the Spanish Association for Artificial Intelligence, 36-46, 2015
122015
Analyzing concept drift: A case study in the financial sector
AR Masegosa, AM Martínez, D Ramos-López, H Langseth, TD Nielsen, ...
Intelligent Data Analysis 24 (3), 665-688, 2020
112020
d-VMP: Distributed Variational Message Passing
AR Masegosa, AM Martínez, H Langseth, TD Nielsen, A Salmerón, ...
Proceedings of the Eighth International Conference on Probabilistic …, 2016
112016
Mixture of truncated exponentials in supervised classification: Case study for the naive Bayes and averaged one-dependence estimators classifiers
MJ Flores, JA Gámez, AM Martínez, A Salmerón
2011 11th International Conference on Intelligent Systems Design and …, 2011
102011
Analyzing the impact of the discretization method when comparing Bayesian classifiers
MJ Flores, JA Gámez, AM Martínez, JM Puerta
International Conference on Industrial, Engineering and Other Applications …, 2010
102010
Dynamic Bayesian modeling for risk prediction in credit operations.
H Borchani, AM Martínez, AR Masegosa, H Langseth, TD Nielsen, ...
SCAI, 17-26, 2015
92015
Financial data analysis with PGMs using AMIDST
R Cabańas, AM Martínez, AR Masegosa, D Ramos-López, A Samerón, ...
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016
82016
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