Learning Bayesian Network Equivalence Classes from Incomplete Data. - Hanen Borchani; Nahla Ben Amor; Khaled Mellouli (Discovery Science, 2006)

Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions. - Hanen Borchani; Maher Chaouachi; Nahla Ben Amor (ECSQARU, 2007)

Learning and Evaluating Bayesian Network Equivalence Classes from Incomplete Data. - Hanen Borchani; Nahla Ben Amor; Fédia Khalfallah (Int. J. Pattern Recognit. Artif. Intell., 2008)

Mining Concept-Drifting Data Streams Containing Labeled and Unlabeled Instances. - Hanen Borchani; Pedro Larrañaga; Concha Bielza (IEA/AIE (1), 2010)

Classifying evolving data streams with partially labeled data. - Hanen Borchani; Pedro Larrañaga; Concha Bielza (Intell. Data Anal., 2011)

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 39-item Parkinson's Disease Questionnaire (PDQ-39). - Hanen Borchani; Concha Bielza; Pablo Martínez-Martín; Pedro Larrañaga (J. Biomed. Informatics, 2012)

Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers. - Hanen Borchani; Concha Bielza; Carlos Toro 003; Pedro Larrañaga (Artif. Intell. Medicine, 2013)

Multi-dimensional classification using Bayesian networks for stationary and evolving streaming data. - Hanen Borchani (2013)

Parallel Importance Sampling in Conditional Linear Gaussian Networks. - Antonio Salmerón; Darío Ramos-López; Hanen Borchani; Ana M. Martínez; Andrés R. Masegosa; Antonio Fernández 002; Helge Langseth; Anders L. Madsen; Thomas D. Nielsen (CAEPIA, 2015)

Modeling Concept Drift: A Probabilistic Graphical Model Based Approach. - Hanen Borchani; Ana M. Martínez; Andrés R. Masegosa; Helge Langseth; Thomas D. Nielsen; Antonio Salmerón; Antonio Fernández 002; Anders L. Madsen; Ramón Sáez (IDA, 2015)

Dynamic Bayesian modeling for risk prediction in credit operations. - Hanen Borchani; Ana M. Martínez; Andrés R. Masegosa; Helge Langseth; Thomas D. Nielsen; Antonio Salmerón; Antonio Fernández 002; Anders L. Madsen; Ramón Sáez (SCAI, 2015)

A survey on multi-output regression. - Hanen Borchani; Gherardo Varando; Concha Bielza; Pedro Larrañaga (WIREs Data Mining Knowl. Discov., 2015)

Probabilistic Graphical Models on Multi-Core CPUs Using Java 8. - Andrés R. Masegosa; Ana M. Martínez; Hanen Borchani (IEEE Comput. Intell. Mag., 2016)

Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers. - Hanen Borchani; Pedro Larrañaga; João Gama 001; Concha Bielza (Intell. Data Anal., 2016)

Data-driven American Option Pricing using Artificial Neural Networks. - Hanen Borchani; Wojciech Michal Pawlak; Steffen Holmslykke; Allan Peter Engsig-Karup (ICDM (Posters), 2019)