Djamel Bouchaffra

Proceedings of the IEEE International Conference on Data Mining, 2023

2019

Selection of Optimal Sub-ensembles of Classifiers through Evolutionary Game Theory.

[BibT_eX]

[DOI]

Farid Ykhlef

Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Real-Time Detection of Impulsive Sounds for Audio Surveillance Systems.

[BibT_eX]

[DOI]

Proceedings of the 3rd edition of the National Study Day on Research on Computer Sciences (JERI 2019), 2019

2017

An efficient ensemble pruning approach based on simple coalitional games.

[BibT_eX]

[DOI]

Inf. Fusion, 2017

Induced Subgraph Game for Ensemble Selection.

[BibT_eX]

[DOI]

Int. J. Artif. Intell. Tools, 2017

2015

Nonlinear Topological Component Analysis: Application to Age-Invariant Face Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Machine learning and pattern recognition models in change detection.

[BibT_eX]

[DOI]

Pattern Recognit., 2015

A k-Nearest Neighbor approach to improve change detection from remote sensing: Application to optical aerial images.

[BibT_eX]

[DOI]

Azzedine Touazi

Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015

Determination of an optimal feature selection method based on maximum Shapley value.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Intelligent Systems Design and Applications, 2015

2014

Pixel-based or Object-based: Which approach is more appropriate for remote sensing image classification?

[BibT_eX]

[DOI]

Nabil Zerrouki

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Coalitional game-based adaboost.

[BibT_eX]

[DOI]

Farid Ykhlef

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Feature Selection Scheme Based on Zero-Sum Two-Player Game.

[BibT_eX]

[DOI]

Azzedine Touazi

Fatiha Mokdad

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013

Combining Pixel- and Object-Based Approaches for Multispectral Image Classification Using Dempster-Shafer Theory.

[BibT_eX]

[DOI]

Youcef Brik

Nabil Zerrouki

Proceedings of the Ninth International Conference on Signal-Image Technology & Internet-Based Systems, 2013

2012

Mapping Dynamic Bayesian Networks to Alpha -Shapes: Application to Human Faces Identification Across Ages.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2012

2010

Conformation-based hidden Markov models: application to human face identification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2010

Embedding HMMs-based models in a Euclidean space: the topological hidden Markov models.

[BibT_eX]

[DOI]

Pattern Recognit., 2010

Machine Learning Paradigms for Modeling Spatial and Temporal Information in Multimedia Data Mining.

[BibT_eX]

[DOI]

Adv. Artif. Intell., 2010

Topological Dynamic Bayesian Networks.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Topological dynamic Bayesian networks: Application to human face identification across ages.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2008

Structural hidden Markov models for biometrics: Fusion of face and fingerprint.

[BibT_eX]

[DOI]

Abbes Amira

Pattern Recognit., 2008

Feature generation and machine learning for robust multimodal biometrics.

[BibT_eX]

[DOI]

Abbes Amira

Pattern Recognit., 2008

A Statistical Multiresolution Approach for Face Recognition Using Structural Hidden Markov Models.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2008

Embedding HMM's-based models in a Euclidean space: The topological hidden Markov models.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007

Structural Hidden Markov Models Based on stochastic Context-Free Grammars.

[BibT_eX]

[DOI]

Control. Intell. Syst., 2007

Multiresolution Hybrid Approaches for Automated Face Recognition.

[BibT_eX]

[DOI]

Proceedings of the Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), 2007

2006

Structural hidden Markov models: An application to handwritten numeral recognition.

[BibT_eX]

[DOI]

Intell. Data Anal., 2006

Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs.

[BibT_eX]

[DOI]

Data Min. Knowl. Discov., 2006

Protein Fold Recognition using a Structural Hidden Markov Model.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005

Probabilistic logic with minimum perplexity: Application to language modeling.

[BibT_eX]

[DOI]

Pattern Recognit., 2005

Genetic-Based EM Algorithm for Learning Gaussian Mixture Models.

[BibT_eX]

[DOI]

Franz Pernkopf

IEEE Trans. Pattern Anal. Mach. Intell., 2005

Introduction of Logic in Language Modelling: The Minimum Perplexity Criterion.

[BibT_eX]

[DOI]

Int. J. Robotics Autom., 2005

2004

Introduction to the Concept of Structural HMM: Application to Mining Customers' Preferences in Automotive Design.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Pattern Recognition, 2004

2003

Structural Hidden Markov Model and Its Application in Automotive Industry.

[BibT_eX]

Proceedings of the ICEIS 2003, 2003

1999

Postprocessing of Recognized Strings Using Nonstationary Markovian Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1999

A Methodology for Mapping Scores to Probabilities.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 1999

Recognition of Strings Using Nonstationary Markovian Models: An Application in ZIP Code Recognition.

[BibT_eX]

[DOI]

Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998

A Methodology for Deriving Probabilistic Correctness Measures from Recognizers.

[BibT_eX]

[DOI]

Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998

1996

Incorporating diverse information sources in handwriting recognition postprocessing.

[BibT_eX]

[DOI]

Int. J. Imaging Syst. Technol., 1996

1995

A Markovian random field approach to information retrieval.

[BibT_eX]

[DOI]

Jean Guy Meunier

Proceedings of the Third International Conference on Document Analysis and Recognition, 1995

A Thematic Knowledge Extraction Modelling through a Markovian Random Field Approach.

[BibT_eX]