Djamel Bouchaffra

54 papers A* 2A 3B 9C 2Journal 29Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Game Theory Meets Statistical Physics: A Novel Deep Neural Networks Design. IEEE Trans. Cybern. Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye, Mustapha Lebbah, Hanane Azzag
2026	J	`jnl`	NeuroGame Transformer: Gibbs-Inspired Attention Driven by Game Theory and Statistical Physics. CoRR Djamel Bouchaffra, Fayçal Ykhlef, Hanene Azzag, Mustapha Lebbah, Bilal Faye
2025	J	`jnl`	A distributed inference algorithm for Dirichlet process mixture models with exponential family components. Neurocomputing Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra
2025	J	`jnl`	OneEncoder: a lightweight framework for efficient multimodal training. Neural Comput. Appl. Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
2025	J	`jnl`	Redesigning deep neural networks: Bridging game theory and statistical physics. Neural Networks Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye, Mustapha Lebbah, Hanene Azzag
2024	B	`conf`	Adaptative Context Normalization: A Boost for Deep Learning in Image Processing. ICIP Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
2024	J	`jnl`	Adaptative Context Normalization: A Boost for Deep Learning in Image Processing. CoRR Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
2024	J	`jnl`	Context-Based Multimodal Fusion. CoRR Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
2024	A	`conf`	Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. SDM Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra
2024	J	`jnl`	Game Theory Meets Statistical Mechanics in Deep Learning Design. CoRR Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye, Hanane Azzag, Mustapha Lebbah
2024	B	`conf`	Lightweight Cross-Modal Representation Learning. ESANN Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra
2023	—	`conf`	Context Normalization Layer with Applications. ICDM (Workshops) Bilal Faye, Hanane Azzag, Mustapha Lebbah, Mohamed Djallel Dilmi, Djamel Bouchaffra
2023	J	`jnl`	Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. CoRR Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra
2019	—	`conf`	Real-Time Detection of Impulsive Sounds for Audio Surveillance Systems. JERI Fayçal Ykhlef, Sarah Ahmed Hamada, Farid Ykhlef, Abdeladhim Derbal, Djamel Bouchaffra
2019	B	`conf`	Selection of Optimal Sub-ensembles of Classifiers through Evolutionary Game Theory. SMC Hadjer Ykhlef, Djamel Bouchaffra, Farid Ykhlef
2017	J	`jnl`	An efficient ensemble pruning approach based on simple coalitional games. Inf. Fusion Hadjer Ykhlef, Djamel Bouchaffra
2017	J	`jnl`	Induced Subgraph Game for Ensemble Selection. Int. J. Artif. Intell. Tools Hadjer Ykhlef, Djamel Bouchaffra
2015	C	`conf`	A k-Nearest Neighbor approach to improve change detection from remote sensing: Application to optical aerial images. ISDA Azzedine Touazi, Djamel Bouchaffra
2015	C	`conf`	Determination of an optimal feature selection method based on maximum Shapley value. ISDA Fatiha Mokdad, Djamel Bouchaffra, Nabil Zerrouki, Azzedine Touazi
2015	B	`conf`	Induced Subgraph Game for Ensemble Selection. ICTAI Hadjer Ykhlef, Djamel Bouchaffra
2015	J	`jnl`	Machine learning and pattern recognition models in change detection. Pattern Recognit. Djamel Bouchaffra, Mohamed Cheriet, Pierre-Marc Jodoin, Diane M. Beck
2015	J	`jnl`	Nonlinear Topological Component Analysis: Application to Age-Invariant Face Recognition. IEEE Trans. Neural Networks Learn. Syst. Djamel Bouchaffra
2014	B	`conf`	Coalitional game-based adaboost. SMC Hadjer Ykhlef, Djamel Bouchaffra, Farid Ykhlef
2014	B	`conf`	Feature Selection Scheme Based on Zero-Sum Two-Player Game. ICPR Azzedine Touazi, Fatiha Mokdad, Djamel Bouchaffra
2014	B	`conf`	Pixel-based or Object-based: Which approach is more appropriate for remote sensing image classification? SMC Nabil Zerrouki, Djamel Bouchaffra
2013	—	`conf`	Combining Pixel- and Object-Based Approaches for Multispectral Image Classification Using Dempster-Shafer Theory. SITIS Youcef Brik, Nabil Zerrouki, Djamel Bouchaffra
2012	J	`jnl`	Mapping Dynamic Bayesian Networks to Alpha -Shapes: Application to Human Faces Identification Across Ages. IEEE Trans. Neural Networks Learn. Syst. Djamel Bouchaffra
2010	J	`jnl`	Conformation-based hidden Markov models: application to human face identification. IEEE Trans. Neural Networks Djamel Bouchaffra
2010	J	`jnl`	Embedding HMMs-based models in a Euclidean space: the topological hidden Markov models. Pattern Recognit. Djamel Bouchaffra
2010	J	`jnl`	Machine Learning Paradigms for Modeling Spatial and Temporal Information in Multimedia Data Mining. Adv. Artif. Intell. Djamel Bouchaffra, Abbes Amira, Ce Zhu, Chu-Song Chen
2010	B	`conf`	Topological Dynamic Bayesian Networks. ICPR Djamel Bouchaffra
2010	—	`conf`	Topological dynamic Bayesian networks: Application to human face identification across ages. CVPR Workshops Djamel Bouchaffra
2008	J	`jnl`	A Statistical Multiresolution Approach for Face Recognition Using Structural Hidden Markov Models. EURASIP J. Adv. Signal Process. Paul Raymond Nicholl, Abbes Amira, Djamel Bouchaffra, Ronald H. Perrott
2008	B	`conf`	Embedding HMM's-based models in a Euclidean space: The topological hidden Markov models. ICPR Djamel Bouchaffra
2008	J	`jnl`	Feature generation and machine learning for robust multimodal biometrics. Pattern Recognit. Djamel Bouchaffra, Abbes Amira
2008	J	`jnl`	Structural hidden Markov models for biometrics: Fusion of face and fingerprint. Pattern Recognit. Djamel Bouchaffra, Abbes Amira
2007	—	`conf`	Multiresolution Hybrid Approaches for Automated Face Recognition. AHS Paul Raymond Nicholl, Abbes Amira, Djamel Bouchaffra, Ronald H. Perrott
2007	J	`jnl`	Structural Hidden Markov Models Based on stochastic Context-Free Grammars. Control. Intell. Syst. Djamel Bouchaffra, Jun Tan
2006	—	`conf`	Protein Fold Recognition using a Structural Hidden Markov Model. ICPR (3) Djamel Bouchaffra, Jun Tan
2006	J	`jnl`	Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs. Data Min. Knowl. Discov. Djamel Bouchaffra, Jun Tan
2006	J	`jnl`	Structural hidden Markov models: An application to handwritten numeral recognition. Intell. Data Anal. Djamel Bouchaffra, Jun Tan
2005	J	`jnl`	Genetic-Based EM Algorithm for Learning Gaussian Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. Franz Pernkopf, Djamel Bouchaffra
2005	J	`jnl`	Introduction of Logic in Language Modelling: The Minimum Perplexity Criterion. Int. J. Robotics Autom. Djamel Bouchaffra
2005	J	`jnl`	Probabilistic logic with minimum perplexity: Application to language modeling. Pattern Recognit. Djamel Bouchaffra
2004	—	`conf`	Introduction to the Concept of Structural HMM: Application to Mining Customers' Preferences in Automotive Design. ICPR (2) Djamel Bouchaffra, Jun Tan
2003	—	`conf`	Structural Hidden Markov Model and Its Application in Automotive Industry. ICEIS (2) Djamel Bouchaffra, Jun Tan
1999	J	`jnl`	A Methodology for Mapping Scores to Probabilities. IEEE Trans. Pattern Anal. Mach. Intell. Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari
1999	J	`jnl`	Postprocessing of Recognized Strings Using Nonstationary Markovian Models. IEEE Trans. Pattern Anal. Mach. Intell. Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari
1999	A*	`conf`	Recognition of Strings Using Nonstationary Markovian Models: An Application in ZIP Code Recognition. CVPR Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari
1998	A*	`conf`	A Methodology for Deriving Probabilistic Correctness Measures from Recognizers. CVPR Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari
1997	A	`conf`	Integrating Signal and Language Context to Improve Handwritten Phrase Recognition: Alternative Approaches. AISTATS Djamel Bouchaffra, Eugene Koontz, Venu Krpasundar, Rohini K. Srihari, Sargur N. Srihari
1996	J	`jnl`	Incorporating diverse information sources in handwriting recognition postprocessing. Int. J. Imaging Syst. Technol. Djamel Bouchaffra, Eugene Koontz, Venu Krpasundar, Rohini K. Srihari
1995	A	`conf`	A Markovian random field approach to information retrieval. ICDAR Djamel Bouchaffra, Jean Guy Meunier
1995	—	`conf`	A Thematic Knowledge Extraction Modelling through a Markovian Random Field Approach. DEXA Workshop Djamel Bouchaffra, Jean Guy Meunier