| 2026 | ESANN | Energy-Based Dropout with Patch-Level Regularization. | Tom Devynck, Bilal Faye, Djamel Bouchaffra, Nadjib Lazaar, Hanene Azzag, Mustapha Lebbah |
| 2024 | ESANN | Lightweight Cross-Modal Representation Learning. | Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra |
| 2024 | ICIP | Adaptative Context Normalization: A Boost for Deep Learning in Image Processing. | Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra |
| 2024 | SDM | Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. | Reda Khoufache, Mustapha Lebbah, Hanene Azzag, tienne Goffinet, Djamel Bouchaffra |
| 2023 | ICDM | Context Normalization Layer with Applications. | Bilal Faye, Hanane Azzag, Mustapha Lebbah, Mohamed Djallel Dilmi, Djamel Bouchaffra |
| 2019 | SMC | Selection of Optimal Sub-ensembles of Classifiers through Evolutionary Game Theory. | Hadjer Ykhlef, Djamel Bouchaffra, Farid Ykhlef |
| 2015 | ICTAI | Induced Subgraph Game for Ensemble Selection. | Hadjer Ykhlef, Djamel Bouchaffra |
| 2015 | ISDA | Determination of an optimal feature selection method based on maximum Shapley value. | Fatiha Mokdad, Djamel Bouchaffra, Nabil Zerrouki, Azzedine Touazi |
| 2015 | ISDA | A k-Nearest Neighbor approach to improve change detection from remote sensing: Application to optical aerial images. | Azzedine Touazi, Djamel Bouchaffra |
| 2014 | ICPR | Feature Selection Scheme Based on Zero-Sum Two-Player Game. | Azzedine Touazi, Fatiha Mokdad, Djamel Bouchaffra |
| 2014 | SMC | Coalitional game-based adaboost. | Hadjer Ykhlef, Djamel Bouchaffra, Farid Ykhlef |
| 2014 | SMC | Pixel-based or Object-based: Which approach is more appropriate for remote sensing image classification? | Nabil Zerrouki, Djamel Bouchaffra |
| 2010 | CVPR | Topological dynamic Bayesian networks: Application to human face identification across ages. | Djamel Bouchaffra |
| 2010 | ICPR | Topological Dynamic Bayesian Networks. | Djamel Bouchaffra |
| 2008 | ICPR | Embedding HMM's-based models in a Euclidean space: The topological hidden Markov models. | Djamel Bouchaffra |
| 2006 | ICPR | Protein Fold Recognition using a Structural Hidden Markov Model. | Djamel Bouchaffra, Jun Tan |
| 2004 | ICPR | Introduction to the Concept of Structural HMM: Application to Mining Customers' Preferences in Automotive Design. | Djamel Bouchaffra, Jun Tan |
| 1999 | CVPR | Recognition of Strings Using Nonstationary Markovian Models: An Application in ZIP Code Recognition. | Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari |
| 1998 | CVPR | A Methodology for Deriving Probabilistic Correctness Measures from Recognizers. | Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari |
| 1997 | AISTATS | Integrating Signal and Language Context to Improve Handwritten Phrase Recognition: Alternative Approaches. | Djamel Bouchaffra, Eugene Koontz, Venu Krpasundar, Rohini K. Srihari, Sargur N. Srihari |
| 1995 | ICDAR | A Markovian random field approach to information retrieval. | Djamel Bouchaffra, Jean Guy Meunier |