Hanen Borchani

Orcid: 0000-0002-5200-0366

According to our database1, Hanen Borchani authored at least 15 papers between 2006 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2019
Data-driven American Option Pricing using Artificial Neural Networks.
Proceedings of the Advances in Data Mining, 2019

2016
Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers.
Intell. Data Anal., 2016

Probabilistic Graphical Models on Multi-Core CPUs Using Java 8.
IEEE Comput. Intell. Mag., 2016

2015
A survey on multi-output regression.
WIREs Data Mining Knowl. Discov., 2015

Dynamic Bayesian modeling for risk prediction in credit operations.
Proceedings of the Thirteenth Scandinavian Conference on Artificial Intelligence, 2015

Modeling Concept Drift: A Probabilistic Graphical Model Based Approach.
Proceedings of the Advances in Intelligent Data Analysis XIV, 2015

Parallel Importance Sampling in Conditional Linear Gaussian Networks.
Proceedings of the Advances in Artificial Intelligence, 2015

2013
Multi-dimensional classification using Bayesian networks for stationary and evolving streaming data.
PhD thesis, 2013

Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers.
Artif. Intell. Medicine, 2013

2012
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).
J. Biomed. Informatics, 2012

2011
Classifying evolving data streams with partially labeled data.
Intell. Data Anal., 2011

2010
Mining Concept-Drifting Data Streams Containing Labeled and Unlabeled Instances.
Proceedings of the Trends in Applied Intelligent Systems, 2010

2008
Learning and Evaluating Bayesian Network Equivalence Classes from Incomplete Data.
Int. J. Pattern Recognit. Artif. Intell., 2008

2007
Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2006
Learning Bayesian Network Equivalence Classes from Incomplete Data.
Proceedings of the Discovery Science, 9th International Conference, 2006


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