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ORCIDDjamel Bouchaffra
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2020 – today
- 2024
[c23]Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra:
Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. SDM 2024: 815-823- [i3]Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra:
Context-Based Multimodal Fusion. CoRR abs/2403.04650 (2024) - [i2]Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra:
Adaptative Context Normalization: A Boost for Deep Learning in Image Processing. CoRR abs/2409.04759 (2024) - 2023
- [c22]Bilal Faye, Hanane Azzag, Mustapha Lebbah
, Mohamed Djallel Dilmi, Djamel Bouchaffra:
Context Normalization Layer with Applications. ICDM (Workshops) 2023: 615-624 - [i1]Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra:
Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. CoRR abs/2312.11169 (2023)
2010 – 2019
- 2019
- [c21]Fayçal Ykhlef, Sarah Ahmed Hamada, Farid Ykhlef, Abdeladhim Derbal, Djamel Bouchaffra:
Real-Time Detection of Impulsive Sounds for Audio Surveillance Systems. JERI 2019 - [c20]Hadjer Ykhlef, Djamel Bouchaffra, Farid Ykhlef:
Selection of Optimal Sub-ensembles of Classifiers through Evolutionary Game Theory. SMC 2019: 2267-2272 - 2017
- [j20]Hadjer Ykhlef, Djamel Bouchaffra:
Induced Subgraph Game for Ensemble Selection. Int. J. Artif. Intell. Tools 26(1): 1760003:1-1760003:20 (2017) - [j19]Hadjer Ykhlef, Djamel Bouchaffra:
An efficient ensemble pruning approach based on simple coalitional games. Inf. Fusion 34: 28-42 (2017) - 2015
- [j18]Djamel Bouchaffra, Mohamed Cheriet, Pierre-Marc Jodoin, Diane M. Beck:
Machine learning and pattern recognition models in change detection. Pattern Recognit. 48(3): 613-615 (2015) - [j17]Djamel Bouchaffra:
Nonlinear Topological Component Analysis: Application to Age-Invariant Face Recognition. IEEE Trans. Neural Networks Learn. Syst. 26(7): 1375-1387 (2015) - [c19]Hadjer Ykhlef, Djamel Bouchaffra:
Induced Subgraph Game for Ensemble Selection. ICTAI 2015: 636-643 - [c18]Azzedine Touazi, Djamel Bouchaffra:
A k-Nearest Neighbor approach to improve change detection from remote sensing: Application to optical aerial images. ISDA 2015: 98-103 - [c17]Fatiha Mokdad, Djamel Bouchaffra, Nabil Zerrouki, Azzedine Touazi:
Determination of an optimal feature selection method based on maximum Shapley value. ISDA 2015: 116-121 - 2014
- [c16]Azzedine Touazi, Fatiha Mokdad, Djamel Bouchaffra:
Feature Selection Scheme Based on Zero-Sum Two-Player Game. ICPR 2014: 1342-1347 - [c15]Hadjer Ykhlef, Djamel Bouchaffra, Farid Ykhlef:
Coalitional game-based adaboost. SMC 2014: 194-199 - [c14]Nabil Zerrouki, Djamel Bouchaffra:
Pixel-based or Object-based: Which approach is more appropriate for remote sensing image classification? SMC 2014: 864-869 - 2013
- [c13]Youcef Brik, Nabil Zerrouki, Djamel Bouchaffra:
Combining Pixel- and Object-Based Approaches for Multispectral Image Classification Using Dempster-Shafer Theory. SITIS 2013: 448-453 - 2012
- [j16]Djamel Bouchaffra:
Mapping Dynamic Bayesian Networks to Alpha -Shapes: Application to Human Faces Identification Across Ages. IEEE Trans. Neural Networks Learn. Syst. 23(8): 1229-1241 (2012) - 2010
- [j15]Djamel Bouchaffra, Abbes Amira, Ce Zhu, Chu-Song Chen:
Machine Learning Paradigms for Modeling Spatial and Temporal Information in Multimedia Data Mining. Adv. Artif. Intell. 2010: 312350:1-312350:2 (2010) - [j14]Djamel Bouchaffra:
Embedding HMMs-based models in a Euclidean space: the topological hidden Markov models. Pattern Recognit. 43(7): 2590-2607 (2010) - [j13]Djamel Bouchaffra:
Conformation-based hidden Markov models: application to human face identification. IEEE Trans. Neural Networks 21(4): 595-608 (2010) - [c12]Djamel Bouchaffra:
Topological dynamic Bayesian networks: Application to human face identification across ages. CVPR Workshops 2010: 1-8 - [c11]Djamel Bouchaffra:
Topological Dynamic Bayesian Networks. ICPR 2010: 898-901
2000 – 2009
- 2008
- [j12]Paul Raymond Nicholl, Abbes Amira, Djamel Bouchaffra, Ronald H. Perrott:
A Statistical Multiresolution Approach for Face Recognition Using Structural Hidden Markov Models. EURASIP J. Adv. Signal Process. 2008 (2008) - [j11]Djamel Bouchaffra, Abbes Amira:
Feature generation and machine learning for robust multimodal biometrics. Pattern Recognit. 41(3): 775-777 (2008) - [j10]Djamel Bouchaffra, Abbes Amira:
Structural hidden Markov models for biometrics: Fusion of face and fingerprint. Pattern Recognit. 41(3): 852-867 (2008) - [c10]Djamel Bouchaffra:
Embedding HMM's-based models in a Euclidean space: The topological hidden Markov models. ICPR 2008: 1-4 - 2007
- [j9]Djamel Bouchaffra, Jun Tan:
Structural Hidden Markov Models Based on stochastic Context-Free Grammars. Control. Intell. Syst. 35(3) (2007) - [c9]Paul Raymond Nicholl, Abbes Amira, Djamel Bouchaffra, Ronald H. Perrott:
Multiresolution Hybrid Approaches for Automated Face Recognition. AHS 2007: 89-96 - 2006
- [j8]Djamel Bouchaffra, Jun Tan:
Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs. Data Min. Knowl. Discov. 12(1): 79-96 (2006) - [j7]Djamel Bouchaffra, Jun Tan:
Structural hidden Markov models: An application to handwritten numeral recognition. Intell. Data Anal. 10(1): 67-79 (2006) - [c8]Djamel Bouchaffra, Jun Tan:
Protein Fold Recognition using a Structural Hidden Markov Model. ICPR (3) 2006: 186-189 - 2005
- [j6]Djamel Bouchaffra:
Introduction of Logic in Language Modelling: The Minimum Perplexity Criterion. Int. J. Robotics Autom. 20(3) (2005) - [j5]Franz Pernkopf, Djamel Bouchaffra:
Genetic-Based EM Algorithm for Learning Gaussian Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. 27(8): 1344-1348 (2005) - [j4]Djamel Bouchaffra:
Probabilistic logic with minimum perplexity: Application to language modeling. Pattern Recognit. 38(8): 1307-1315 (2005) - 2004
- [c7]Djamel Bouchaffra, Jun Tan:
Introduction to the Concept of Structural HMM: Application to Mining Customers' Preferences in Automotive Design. ICPR (2) 2004: 493-496 - 2003
- [c6]Djamel Bouchaffra, Jun Tan:
Structural Hidden Markov Model and Its Application in Automotive Industry. ICEIS (2) 2003: 155-164
1990 – 1999
- 1999
- [j3]Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari:
A Methodology for Mapping Scores to Probabilities. IEEE Trans. Pattern Anal. Mach. Intell. 21(9): 923-927 (1999) - [j2]Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari:
Postprocessing of Recognized Strings Using Nonstationary Markovian Models. IEEE Trans. Pattern Anal. Mach. Intell. 21(10): 990-999 (1999) - [c5]Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari:
Recognition of Strings Using Nonstationary Markovian Models: An Application in ZIP Code Recognition. CVPR 1999: 2174-2179 - 1998
- [c4]Djamel Bouchaffra, Venu Govindaraju, Sargur N. Srihari:
A Methodology for Deriving Probabilistic Correctness Measures from Recognizers. CVPR 1998: 930-935 - 1997
- [c3]Djamel Bouchaffra, Eugene Koontz, Venu Krpasundar, Rohini K. Srihari, Sargur N. Srihari:
Integrating Signal and Language Context to Improve Handwritten Phrase Recognition: Alternative Approaches. AISTATS 1997: 47-54 - 1996
- [j1]Djamel Bouchaffra, Eugene Koontz, Venu Krpasundar, Rohini K. Srihari:
Incorporating diverse information sources in handwriting recognition postprocessing. Int. J. Imaging Syst. Technol. 7(4): 320-329 (1996) - 1995
- [c2]Djamel Bouchaffra, Jean Guy Meunier:
A Thematic Knowledge Extraction Modelling through a Markovian Random Field Approach. DEXA Workshop 1995: 329-338 - [c1]Djamel Bouchaffra, Jean Guy Meunier:
A Markovian random field approach to information retrieval. ICDAR 1995: 997-1002
Coauthor Index
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