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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
712016
Handling numeric attributes when comparing Bayesian network classifiers: does the discretization method matter?
MJ Flores, JA Gámez, AM Martínez, JM Puerta
Applied Intelligence 34, 372-385, 2011
582011
Domains of competence of the semi-naive Bayesian network classifiers
MJ Flores, JA Gámez, AM Martínez
Information Sciences 260, 120-148, 2014
372014
Modeling concept drift: A probabilistic graphical model based approach
H Borchani, AM Martínez, AR Masegosa, H Langseth, TD Nielsen, ...
Advances in Intelligent Data Analysis XIV: 14th International Symposium, IDA …, 2015
322015
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
292009
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
282016
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
262012
Sobre la didáctica del texto expositivo. Algunas propuestas para la clase de lengua
A Martínez, C Rodríguez
Culture and Education 1 (3-4), 77-87, 1989
241989
AMIDST: A Java toolbox for scalable probabilistic machine learning
AR Masegosa, AM Martinez, D Ramos-López, R Cabañas, A Salmerón, ...
Knowledge-Based Systems 163, 595-597, 2019
232019
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, 475-503, 2017
232017
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
202020
Highly scalable attribute selection for averaged one-dependence estimators
S Chen, AM Martinez, GI Webb
Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia …, 2014
202014
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
182016
HODE: Hidden one-dependence estimator
MJ Flores, JA Gámez, AM Martínez, JM Puerta
Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 10th …, 2009
182009
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
172017
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
142016
Analyzing the impact of the discretization method when comparing Bayesian classifiers
MJ Flores, JA Gámez, AM Martínez, JM Puerta
Trends in Applied Intelligent Systems: 23rd International Conference on …, 2010
122010
Artificial and natural turf: biomechanical differences between surfaces. Communications to the Fifth World Congress on Science and Football
A Martinez, JV Dura, J Gamez, RT Zamora, E Alcantara
J Sports Sci 22, 485-593, 2004
122004
Parallel importance sampling in conditional linear Gaussian networks
A Salmerón, D Ramos-López, H Borchani, AM Martínez, AR Masegosa, ...
Advances in Artificial Intelligence: 16th Conference of the Spanish …, 2015
102015
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
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Articles 1–20