Ana M. Martínez
Ana M. Martínez
Large-Scale Data Specialist, Vestas
Verified email at vestas.com
TitleCited byYear
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
422011
Scalable Learning of Bayesian Network Classifiers
AM Martinez, GI Webb, S Chen, NA Zaidi
Journal of Machine Learning Research 17, 1-35, 2016
322016
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
242009
Domains of competence of the semi-naive Bayesian network classifiers
MJ Flores, JA Gámez, AM Martínez
Information Sciences 260, 120-148, 2014
192014
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
162015
HODE: Hidden one-dependence estimator
MJ Flores, JA Gámez, AM Martínez, JM Puerta
European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2009
142009
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
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
122012
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
102019
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
102017
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
102016
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
92017
Dynamic Bayesian modeling for risk prediction in credit operations.
H Borchani, AM Martínez, AR Masegosa, H Langseth, TD Nielsen, ...
SCAI, 17-26, 2015
92015
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
82011
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
72016
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
72014
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
62016
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
62010
MAP inference in dynamic hybrid Bayesian networks
D Ramos-López, AR Masegosa, AM Martínez, A Salmerón, TD Nielsen, ...
Progress in Artificial Intelligence 6 (2), 133-144, 2017
42017
HODE
AM Martínez
42017
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