A Thematic Knowledge Extraction Modelling through a Markovian Random Field Approach. - Djamel Bouchaffra; Jean Guy Meunier (DEXA Workshop, 1995)

A Markovian random field approach to information retrieval. - Djamel Bouchaffra; Jean Guy Meunier (ICDAR, 1995)

Incorporating diverse information sources in handwriting recognition postprocessing. - Djamel Bouchaffra; Eugene Koontz; Venu Krpasundar; Rohini K. Srihari (Int. J. Imaging Syst. Technol., 1996)

Integrating Signal and Language Context to Improve Handwritten Phrase Recognition: Alternative Approaches. - Djamel Bouchaffra; Eugene Koontz; Venu Krpasundar; Rohini K. Srihari; Sargur N. Srihari (AISTATS, 1997)

A Methodology for Deriving Probabilistic Correctness Measures from Recognizers. - Djamel Bouchaffra; Venu Govindaraju; Sargur N. Srihari (CVPR, 1998)

Recognition of Strings Using Nonstationary Markovian Models: An Application in ZIP Code Recognition. - Djamel Bouchaffra; Venu Govindaraju; Sargur N. Srihari (CVPR, 1999)

A Methodology for Mapping Scores to Probabilities. - Djamel Bouchaffra; Venu Govindaraju; Sargur N. Srihari (IEEE Trans. Pattern Anal. Mach. Intell., 1999)

Postprocessing of Recognized Strings Using Nonstationary Markovian Models. - Djamel Bouchaffra; Venu Govindaraju; Sargur N. Srihari (IEEE Trans. Pattern Anal. Mach. Intell., 1999)

Structural Hidden Markov Model and Its Application in Automotive Industry. - Djamel Bouchaffra; Jun Tan 003 (ICEIS (2), 2003)

Introduction to the Concept of Structural HMM: Application to Mining Customers' Preferences in Automotive Design. - Djamel Bouchaffra; Jun Tan 003 (ICPR (2), 2004)

Introduction of Logic in Language Modelling: The Minimum Perplexity Criterion. - Djamel Bouchaffra (Int. J. Robotics Autom., 2005)

Genetic-Based EM Algorithm for Learning Gaussian Mixture Models. - Franz Pernkopf; Djamel Bouchaffra (IEEE Trans. Pattern Anal. Mach. Intell., 2005)

Probabilistic logic with minimum perplexity: Application to language modeling. - Djamel Bouchaffra (Pattern Recognit., 2005)

Protein Fold Recognition using a Structural Hidden Markov Model. - Djamel Bouchaffra; Jun Tan 003 (ICPR (3), 2006)

Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs. - Djamel Bouchaffra; Jun Tan 003 (Data Min. Knowl. Discov., 2006)

Structural hidden Markov models: An application to handwritten numeral recognition. - Djamel Bouchaffra; Jun Tan 003 (Intell. Data Anal., 2006)

Multiresolution Hybrid Approaches for Automated Face Recognition. - Paul Raymond Nicholl; Abbes Amira; Djamel Bouchaffra; Ronald H. Perrott (AHS, 2007)

Structural Hidden Markov Models Based on stochastic Context-Free Grammars. - Djamel Bouchaffra; Jun Tan 003 (Control. Intell. Syst., 2007)

Embedding HMM's-based models in a Euclidean space: The topological hidden Markov models. - Djamel Bouchaffra (ICPR, 2008)

A Statistical Multiresolution Approach for Face Recognition Using Structural Hidden Markov Models. - Paul Raymond Nicholl; Abbes Amira; Djamel Bouchaffra; Ronald H. Perrott (EURASIP J. Adv. Signal Process., 2008)

Feature generation and machine learning for robust multimodal biometrics. - Djamel Bouchaffra; Abbes Amira (Pattern Recognit., 2008)

Structural hidden Markov models for biometrics: Fusion of face and fingerprint. - Djamel Bouchaffra; Abbes Amira (Pattern Recognit., 2008)

Topological dynamic Bayesian networks: Application to human face identification across ages. - Djamel Bouchaffra (CVPR Workshops, 2010)

Topological Dynamic Bayesian Networks. - Djamel Bouchaffra (ICPR, 2010)

Machine Learning Paradigms for Modeling Spatial and Temporal Information in Multimedia Data Mining. - Djamel Bouchaffra; Abbes Amira; Ce Zhu; Chu-Song Chen (Adv. Artif. Intell., 2010)

Embedding HMMs-based models in a Euclidean space: the topological hidden Markov models. - Djamel Bouchaffra (Pattern Recognit., 2010)

Conformation-based hidden Markov models: application to human face identification. - Djamel Bouchaffra (IEEE Trans. Neural Networks, 2010)

Mapping Dynamic Bayesian Networks to Alpha -Shapes: Application to Human Faces Identification Across Ages. - Djamel Bouchaffra (IEEE Trans. Neural Networks Learn. Syst., 2012)

Combining Pixel- and Object-Based Approaches for Multispectral Image Classification Using Dempster-Shafer Theory. - Youcef Brik; Nabil Zerrouki; Djamel Bouchaffra (SITIS, 2013)

Feature Selection Scheme Based on Zero-Sum Two-Player Game. - Azzedine Touazi; Fatiha Mokdad; Djamel Bouchaffra (ICPR, 2014)

Coalitional game-based adaboost. - Hadjer Ykhlef; Djamel Bouchaffra; Farid Ykhlef (SMC, 2014)

Pixel-based or Object-based: Which approach is more appropriate for remote sensing image classification? - Nabil Zerrouki; Djamel Bouchaffra (SMC, 2014)

Determination of an optimal feature selection method based on maximum Shapley value. - Fatiha Mokdad; Djamel Bouchaffra; Nabil Zerrouki; Azzedine Touazi (ISDA, 2015)

A k-Nearest Neighbor approach to improve change detection from remote sensing: Application to optical aerial images. - Azzedine Touazi; Djamel Bouchaffra (ISDA, 2015)

Machine learning and pattern recognition models in change detection. - Djamel Bouchaffra; Mohamed Cheriet; Pierre-Marc Jodoin; Diane M. Beck (Pattern Recognit., 2015)

Nonlinear Topological Component Analysis: Application to Age-Invariant Face Recognition. - Djamel Bouchaffra (IEEE Trans. Neural Networks Learn. Syst., 2015)

Induced Subgraph Game for Ensemble Selection. - Hadjer Ykhlef; Djamel Bouchaffra (Int. J. Artif. Intell. Tools, 2017)

An efficient ensemble pruning approach based on simple coalitional games. - Hadjer Ykhlef; Djamel Bouchaffra (Inf. Fusion, 2017)

Real-Time Detection of Impulsive Sounds for Audio Surveillance Systems. - Fayçal Ykhlef; Sarah Ahmed Hamada; Farid Ykhlef; Abdeladhim Derbal; Djamel Bouchaffra (JERI, 2019)

Selection of Optimal Sub-ensembles of Classifiers through Evolutionary Game Theory. - Hadjer Ykhlef; Djamel Bouchaffra; Farid Ykhlef (SMC, 2019)

Context Normalization Layer with Applications. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Mohamed Djallel Dilmi; Djamel Bouchaffra (ICDM (Workshops), 2023)

Lightweight Cross-Modal Representation Learning. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Djamel Bouchaffra (ESANN, 2024)

Adaptative Context Normalization: A Boost for Deep Learning in Image Processing. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Djamel Bouchaffra (ICIP, 2024)

Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. - Reda Khoufache; Mustapha Lebbah; Hanene Azzag; Étienne Goffinet; Djamel Bouchaffra (SDM, 2024)

Context-Based Multimodal Fusion. - Bilal Faye; Hanane Azzag; Mustapha Lebbah; Djamel Bouchaffra (CoRR, 2024)

Game Theory Meets Statistical Mechanics in Deep Learning Design. - Djamel Bouchaffra; Fayçal Ykhlef; Bilal Faye; Hanane Azzag; Mustapha Lebbah (CoRR, 2024)

Redesigning deep neural networks: Bridging game theory and statistical physics. - Djamel Bouchaffra; Fayçal Ykhlef; Bilal Faye; Mustapha Lebbah; Hanene Azzag (Neural Networks, 2025)