A survey on multi‐output regression H Borchani, G Varando, C Bielza, P Larranaga Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5 (5 …, 2015 | 770 | 2015 |
Markov blanket-based approach for learning multi-dimensional Bayesian network classifiers: An application to predict the European Quality of Life-5 Dimensions (EQ-5D) from the … H Borchani, C Bielza, P Martı, P Larranaga Journal of biomedical informatics 45 (6), 1175-1184, 2012 | 56 | 2012 |
Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers H Borchani, C Bielza, C Toro, P Larranaga Artificial Intelligence in Medicine 57 (3), 219-229, 2013 | 47 | 2013 |
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 | 31 | 2015 |
Learning CB-decomposable multi-dimensional Bayesian network classifiers H Borchani, C Bielza, P Larranaga Proceedings of the 5th European workshop on probabilistic graphical models …, 2010 | 29 | 2010 |
Classifying evolving data streams with partially labeled data H Borchani, P Larrañaga, C Bielza Intelligent Data Analysis 15 (5), 655-670, 2011 | 22 | 2011 |
Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers H Borchani, P Larrañaga, J Gama, C Bielza Intelligent Data Analysis 20 (2), 257-280, 2016 | 20 | 2016 |
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 |
Learning Bayesian network equivalence classes from incomplete data H Borchani, N Ben Amor, K Mellouli International Conference on Discovery Science, 291-295, 2006 | 15 | 2006 |
Learning causal Bayesian networks from incomplete observational data and interventions H Borchani, M Chaouachi, N Ben Amor European Conference on Symbolic and Quantitative Approaches to Reasoning and …, 2007 | 14 | 2007 |
Learning and evaluating bayesian network equivalence classes from incomplete data H Borchani, NB Amor, F Khalfallah International Journal of Pattern Recognition and Artificial Intelligence 22 …, 2008 | 13 | 2008 |
Mining concept-drifting data streams containing labeled and unlabeled instances H Borchani, P Larranaga, C Bielza Trends in Applied Intelligent Systems: 23rd International Conference on …, 2010 | 11 | 2010 |
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 | 10 | 2015 |
Predicting the EQ-5D from the Parkinson's disease questionnaire PDQ-8 using multi-dimensional Bayesian network classifiers H Borchani, C Bielza, P Martinez-Martin, P Larrañaga Biomedical Engineering: Applications, Basis and Communications 26 (01), 1450015, 2014 | 10 | 2014 |
Dynamic Bayesian modeling for risk prediction in credit operations H Borchani, AM Martínez, AR Masegosa, H Langseth, TD Nielsen, ... Thirteenth Scandinavian Conference on Artificial Intelligence, 17-26, 2015 | 8 | 2015 |
Learning multi-dimensional Bayesian network classifiers using Markov blankets: A case study in the prediction of HIV protease inhibitors H Borchani, MC Bielza Lozoya, PM Larrañaga Múgica European Society for Artificial Intelligence in Medicine, 2011 | 4 | 2011 |
AMIDST: analysis of massive data streams A Masegosa, AM Martinez, H Borchani, D Ramos-López, TD Nielsen, ... Benelux Conference on Artificial Intelligence, 2015 | 3 | 2015 |
2016 Index IEEE Computational Intelligence Magazine Vol. 11 H Abbass, N Agell, M Alamgir, J Alcala-Fdez, C Alippi, J Alonso, Y Altun, ... Notes 1101, 46-58, 2016 | | 2016 |
Parallel Importance Sampling in Conditional Linear Gaussian Networks A Salmerón Cerdán, D Ramos López, H Borchani, AM Martínez, ... | | 2015 |
Multi-dimensional classification using Bayesian networks for stationary and evolving streaming data H Borchani Informatica, 2013 | | 2013 |