Hanen Borchani

Computer Science · Physical Sciences

8h-index824citations18works0.02yr avg
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Research Topics

Data Stream Mining Techniques(7), Bayesian Modeling and Causal Inference(6), Machine Learning and Data Classification(6), Bayesian Methods and Mixture Models(3), AI-based Problem Solving and Planning(2)

Publications18 total

Data-driven American Option Pricing using Artificial Neural Networks.
2019
Probabilistic Graphical Models on Multi-Core CPUs Using Java 8
IEEE Computational Intelligence Magazine·2016· 13 citedOpen Access
Mining multi-dimensional concept-drifting data streams using Bayesian network classifiers
Intelligent Data Analysis·2016· 17 citedOpen Access
AMIDST: Analysis of MassIve Data STreams
VBN Forskningsportal (Aalborg Universitet)·2015· 2 cited
A survey on multi‐output regression
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery·2015· 622 cited
Modeling Concept Drift: A Probabilistic Graphical Model Based Approach
Lecture notes in computer science·2015· 22 cited
Dynamic Bayesian modeling for risk prediction in credit operations
Frontiers in artificial intelligence and applications·2015· 6 cited
Parallel Importance Sampling in Conditional Linear Gaussian Networks
Lecture notes in computer science·2015· 7 citedOpen Access
Multi-dimensional classification using Bayesian networksfor stationary and evolving streaming data
2014· 1 cited
PREDICTING THE EQ-5D FROM THE PARKINSON'S DISEASE QUESTIONNAIRE PDQ-8 USING MULTI-DIMENSIONAL BAYESIAN NETWORK CLASSIFIERS
Biomedical Engineering Applications Basis and Communications·2014Open Access
Predicting human immunodeficiency virus inhibitors using multi-dimensional Bayesian network classifiers
Artificial Intelligence in Medicine·2013· 41 cited
Multi-dimensional classification using Bayesian networksfor stationary and evolving streaming data
2013Open Access
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)
Journal of Biomedical Informatics·2012· 44 cited
Classifying evolving data streams with partially labeled data
Intelligent Data Analysis·2011· 18 cited
Mining Concept-Drifting Data Streams Containing Labeled and Unlabeled Instances
Lecture notes in computer science·2010· 7 cited
LEARNING AND EVALUATING BAYESIAN NETWORK EQUIVALENCE CLASSES FROM INCOMPLETE DATA
International Journal of Pattern Recognition and Artificial Intelligence·2008· 8 cited
Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions
Lecture notes in computer science·2007· 9 cited
Learning Bayesian Network Equivalence Classes from Incomplete Data
Lecture notes in computer science·2006· 7 cited

Frequent Co-authors

Concha Bielza(6), Pedro Larrañaga(6), Ana María Martínez(5), Andrés R. Masegosa(5), Helge Langseth(4), Thomas D. Nielsen(4), Antonio Salmerón(4), Anders L. Madsen(4), Antonio Fernández(3), Nahla Ben Amor(3), Ramón Sáez(2), Darío Ramos-López(2), Gherardo Varando(1), Pablo Martı ́nez-Martı ́n(1), Carlos Serra Toro(1), João Gama(1), Maher Chaouachi(1), Fédia Khalfallah(1), Khaled Mellouli(1), María Concepción Bielza Lozoya(1)