| 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 | 453 | 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 Larrañaga Journal of Biomedical Informatics 45 (6), 1175-1184, 2012 | 48 | 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 | 39 | 2013 |
| 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 | 26 | 2010 |
| 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 | 24 | 2015 |
| Classifying evolving data streams with partially labeled data H Borchani, P Larrañaga, C Bielza Intelligent Data Analysis 15 (5), 655-670, 2011 | 20 | 2011 |
| 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 | 17 | 2016 |
| Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers H Borchani, P Larranaga, J Gama, C Bielza Intelligent Data Analysis 20 (2), 257-280, 2016 | 16 | 2016 |
| Learning Bayesian network equivalence classes from incomplete data H Borchani, NB Amor, K Mellouli International Conference on Discovery Science, 291-295, 2006 | 14 | 2006 |
| 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 |
| 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 | 12 | 2015 |
| Mining concept-drifting data streams containing labeled and unlabeled instances H Borchani, P Larranaga, C Bielza International Conference on Industrial, Engineering and Other Applications …, 2010 | 12 | 2010 |
| 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 | 12 | 2007 |
| Dynamic Bayesian modeling for risk prediction in credit operations. H Borchani, AM Martínez, AR Masegosa, H Langseth, TD Nielsen, ... SCAI, 17-26, 2015 | 9 | 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 | 8 | 2014 |
| 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 |
| Learning multi-dimensional Bayesian network classifiers using Markov blankets: A case study in the prediction of HIV protease inhibitors H Borchani, C Bielza, P Larranaga Probabilistic Problem Solving in BioMedicine, 29, 2011 | 3 | 2011 |
| 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 |
