Diuretic activity of plants used for the treatment of urinary ailments in Guatemala A Cáceres, LM Girón, AM Martínez
Journal of Ethnopharmacology 19 (3), 233-245, 1987
310 1987 Scalable Learning of Bayesian Network Classifiers AM Martinez, GI Webb, S Chen, NA Zaidi
Journal of Machine Learning Research 17, 1-35, 2016
72 2016 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
58 2011 Domains of competence of the semi-naive Bayesian network classifiers MJ Flores, JA Gámez, AM Martínez
Information Sciences 260, 120-148, 2014
37 2014 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
32 2015 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
29 2009 Breeding success of the great bustard Otis tarda in Zamora province, Spain, in 1984 V ENA, ANA MARTINEZ, DH THOMAS
Ibis 129 (2), 364-370, 1987
29 1987 Sample-Based Attribute Selective A S Chen, AM Martinez, GI Webb, L Wang
IEEE Transactions on Knowledge and Data Engineering 29 (1), 172-185, 2016
28 2016 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
26 2012 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
25 1989 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
24 2019 Selective An DE 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
23 2017 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
20 2020 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
20 2014 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
18 2017 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
18 2016 HODE: Hidden one-dependence estimator MJ Flores, JA Gámez, AM Martínez, JM Puerta
Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 10th …, 2009
18 2009 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
15 2016 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
12 2010 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
12 2004 
Thomas Dyhre NielsenAalborg UniversityEmail verificata su cs.aau.dk