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Nasopharyngeal Carcinoma Data Analysis with a Novel Bayesian Network Skeleton Learning Algorithm

Alexandre Aussem , Sergio Rodrigues de Morais , Marilys Corbex
11th Conference on Artificial Intelligence in Medicine (AIME 07), 2007, Amsterdam, Netherlands. pp.326-330
Conference papers hal-00264023v1
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A novel Bayesian Network structure learning algorithm based on minimal correlated itemset mining techniques

Zahra Kebaili , Alexandre Aussem
IEEE Int.ernational Conference on Digital Information Management (ICDIM 07), 2007, Lyon, France. pp.121-126
Conference papers hal-00264026v1
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Learning Bayesian network structures by estimation of distribution algorithms : An experimental analysis

Gregory Thibault , Stéphane Bonnevay , Alexandre Aussem
IEEE International Conference on Digital Information Management (ICDIM 07), 2007, Lyon, France. pp.127-132
Conference papers hal-00264027v1
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A hybrid algorithm for Bayesian network structure learning with application to multi-label learning

Maxime Gasse , Alex Aussem , Haytham Elghazel
Expert Systems with Applications, 2014, 41 (15), pp.6755-6772. ⟨10.1016/j.eswa.2014.04.032⟩
Journal articles hal-01153255v1

Distributed Neural Networks for Quality of Service Estimation in Communication Networks

Antoine Mahul , Alexandre Aussem
International Journal of Computational Intelligence and Applications, 2003, pp.297-308
Journal articles hal-00395432v1

Gradient decay analysis and stability conditions for dynamical recurrent neural networks

Alexandre Aussem
Neural Computation, 2002, pp.1907-1927
Journal articles hal-00395446v1

A Comparison of Multi-Label Feature Selection Methods Using the Random Forest Paradigm

Ouadie Gharroudi , Haytham Elghazel , Alex Aussem
Canadian Conference on Artificial Intelligence, AI, May 2014, Montréal, Canada. pp.95-106
Conference papers hal-01301070v1
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Classification model for performance diagnosis of dry port by rail

Raywat Makkhongkaew , Stéphane Bonnevay , Alex Aussem , Khalid Benabdeslem
Journal of Society for Transportation and Traffic Studies, 2015, 6 (2), pp.31-40
Journal articles hal-01134826v2
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Analyse critique des algorithmes EDA dans le cadre de l'apprentissage de structure de réseaux Bayésiens

Grégory Thibault , Alexandre Aussem , Stéphane Bonnevay
Journées Francophone sur les Réseaux Bayésiens, May 2008, Lyon, France
Conference papers hal-00280545v1

A Semi-Supervised Ensemble Approach for Multi-label Learning

Ouadie Gharroudi , Haytham Elghazel , Alex Aussem
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW), Dec 2016, Barcelona, Spain. pp.1197-1204
Conference papers hal-02018699v1

Wavelet-based feature extraction and decomposition strategies for financial forecasting

Alexandre Aussem , J. Campbell , Fionn Murtagh
Journal of Computational Intelligence in Finance, 1998, 6 (2), pp.5-12
Journal articles hal-00395513v1

Web traffic demand forecasting using a wavelet-based multiscale decomposition

Alexandre Aussem , Fionn Murtagh
International Journal of Intelligent Systems, 2001, 16 (2), pp.215-236
Journal articles hal-00395518v1

Neural network modelling for environmental prediction

Fionn Murtagh , G. Zheng , J.G. Campbell , Alexandre Aussem
Neurocomputing, 2000, 30, pp.65-70
Journal articles hal-00395478v1

Reducing variance due to importance weighting in covariate shift bias correction

Van-Tinh Tran , Alex Aussem
European Symposium on Artificial Neural Networks, Apr 2017, Bruges, Belgium
Conference papers hal-02042795v1

A novel hybrid Bayesian network structure learning algorithm based on correlated itemset mining techniques

Zahra Kebaili , Alexandre Aussem
International Journal of Computational Intelligence Research, 2009, pp.1
Journal articles hal-00383787v1
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A Practical Approach to Reduce the Learning Bias Under Covariate Shift

Van-Tinh Tran , Alex Aussem
ECML PKDD 2015 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2015, Porto, Portugal. pp 71-86, ⟨10.1007/978-3-319-23525-7_5⟩
Conference papers hal-01213965v1

Analysis of Nasopharyngeal Carcinoma risk factors with Bayesian Networks

Alexandre Aussem , Sergio Rodrigues de Morais , Marilys Corbex
Artificial Intelligence in Medicine, 2010, pp.1
Journal articles hal-00411518v1

Performance Modelling and Analysis of a Web Server

Fontaine Rafamantanantsoa , P. Laurencot , Alexandre Aussem
International Journal on Computer Network and Internet Research, 2009, 9 (2), pp.31-35
Journal articles hal-00403602v1

A conservative feature selection algorithm with missing data

Alexandre Aussem , Sergio Rodrigues de Morais
IEEE International Conference on Data Mining ICDM'08, 2009, Pisa, Italy. pp.725-730
Conference papers hal-00383831v1

A novel scalable and correct Markov boundary learning algorithms under faithfulness condition

Sergio Rodrigues de Morais , Alexandre Aussem
4th European Workshop on Probabilistic Graphical Models PGM'08, 2008, Hirtshals, Norway. pp.81-88
Conference papers hal-00383837v1
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Extraction de frontière de Markov dans les données de grande dimension

Grégory Thibault , Alexandre Aussem , Stéphane Bonnevay
5èmes Journées Francophones sur les Réseaux Bayésiens (JFRB2010), May 2010, Nantes, France
Conference papers hal-00467544v1

Robust gene selection from microarray data with a novel Markov boundary learning method : Application to diabetes analysis

Alexandre Aussem , Sergio Rodrigues de Morais , Florence Perraud , Sophie Rome
European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty ECSQARU'09, 2009, Verona, Italy. pp.724-735
Conference papers hal-00383810v1

Closed Loop Stability of FIR-Recurrent Neural Networks

Alexandre Aussem
Artificial Neural Networks and Neural Information Processing ICANN/ICONIP 2003, 2003, Istanbul, Turkey. pp.523-529
Conference papers hal-00395425v1

Segmentation of switching dynamics with a Hidden Markov Model of neural prediction experts

Alexandre Aussem , C. Boutevin
ESANN 2001, 9th European Symposium on Artificial Neural Networks, Proceedings, 2001, Bruges, Belgium. pp.251-256
Conference papers hal-00395449v1

A neuro-wavelet strategy for Web traffic forecasting

Alexandre Aussem , Fionn Murtagh
Research in Official Statistics, 1998, 1 (1), pp.65-87
Journal articles hal-00395509v1

Special Issue on Bayesian Networks Guest Editorial

Alexandre Aussem
Neurocomputing, 2010, pp.1. ⟨10.1016/j.neucom.2009.11.001⟩
Journal articles hal-00429877v1
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End-to-End Extraction of Structured Information from Business Documents with Pointer-Generator Networks

Clément Sage , Alex Aussem , Véronique Eglin , Haytham Elghazel , Jérémy Espinas et al.
EMNLP 2020 Workshop on Structured Prediction for NLP, Nov 2020, Punta Cana (online), Dominican Republic
Conference papers hal-02958913v1
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Modelling switching dynamics using prediction experts operating on distinct wavelet scales

Alexandre Aussem , Pierre Chainais
European Symposium on Artificial Neural Networks, ESANN'06, 2006, Bruges, Belgium. pp. ?
Conference papers hal-00266051v1
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An Experimental Comparison of Hybrid Algorithms for Bayesian Network Structure Learning

Maxime Gasse , Alex Aussem , Haytham Elghazel
Lecture Notes in Computer Science, 2012, Machine Learning and Knowledge Discovery in Databases, 7523, pp.58-73. ⟨10.1007/978-3-642-33460-3_9⟩
Journal articles hal-01122771v1
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Analysis of lifestyle and metabolic predictors of visceral obesity with Bayesian Networks.

Alex Aussem , André Tchernof , Sérgio Rodrigues de Morais , Sophie Rome
BMC Bioinformatics, 2010, 11 (1), pp.487. ⟨10.1186/1471-2105-11-487⟩
Journal articles inserm-00663887v1