Djamel Bouchaffra
Djamel Bouchaffra
Professor/Research Director
Verified email at ieee.org - Homepage
Title
Cited by
Cited by
Year
Genetic-based EM algorithm for learning Gaussian mixture models
F Pernkopf, D Bouchaffra
IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (8), 1344-1348, 2005
2812005
Structural hidden Markov models for biometrics: Fusion of face and fingerprint
D Bouchaffra, A Amira
Pattern Recognition 41 (3), 852-867, 2008
642008
Direct adaptive fuzzy control of nonlinear system class with application
H Chekireb, M Tadjine, D Bouchaffra
Control and intelligent systems 31 (2), 113-121, 2003
422003
A methodology for mapping scores to probabilities
D Bouchaffra, V Govindaraju
IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (9), 923-927, 1999
421999
Random forest and filter bank common spatial patterns for EEG-based motor imagery classification
M Bentlemsan, ETT Zemouri, D Bouchaffra, B Yahya-Zoubir, K Ferroudji
2014 5th International conference on intelligent systems, modelling and …, 2014
392014
Postprocessing of recognized strings using nonstationary Markovian models
D Bouchaffra, V Govindaraju, SN Srihari
IEEE Transactions on Pattern Analysis and Machine Intelligence 21 (10), 990-999, 1999
331999
Structural hidden markov models using a relation of equivalence: Application to automotive designs
D Bouchaffra, J Tan
Data Mining and Knowledge Discovery 12 (1), 79, 2006
312006
Protein fold recognition using a structural Hidden Markov Model
D Bouchaffra, J Tan
18th International Conference on Pattern Recognition (ICPR'06) 3, 186-189, 2006
292006
Pixel-based or Object-based: Which approach is more appropriate for remote sensing image classification?
N Zerrouki, D Bouchaffra
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014
272014
Introduction to Nonlinear Topological Component Analysis: Application to Age-Invariant Face Recognition
D Bouchaffra
IEEE TNNLS, 2014
27*2014
introduction to nonlinear topological Component Analysis: Application to Age-Invariant Face Recognition
D Bouchaffra
IEEE TNNLS, 2014
27*2014
Introduction to Nonlinear Topological Component Analysis: Application to age-invariant face recognition
D Bouchaffra
IEEE Transactions On Neural Networks and Learning Systems 90, 12, 2014
27*2014
An efficient ensemble pruning approach based on simple coalitional games
H Ykhlef, D Bouchaffra
Information Fusion 34, 28-42, 2017
262017
A statistical multiresolution approach for face recognition using structural hidden markov models
P Nicholl, A Amira, D Bouchaffra, RH Perrott
EURASIP Journal on Advances in Signal Processing 2008, 1-13, 2007
222007
Structural hidden Markov models: An application to handwritten numeral recognition
D Bouchaffra, J Tan
Intelligent Data Analysis 10 (1), 67-79, 2006
182006
Mapping Dynamic Bayesian Networks to -Shapes: Application to Human Faces Identification Across Ages
D Bouchaffra
IEEE transactions on neural networks and learning systems 23 (8), 1229-1241, 2012
152012
Conformation-based hidden markov models: Application to human face identification
D Bouchaffra
IEEE transactions on neural networks 21 (4), 595-608, 2010
152010
Multiresolution hybrid approaches for automated face recognition
P Nicholl, A Amira, D Bouchaffra, RH Perrott
Second NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2007), 89-96, 2007
152007
Incorporating diverse information sources in handwriting recognition postprocessing
D Bouchaffra, E Koontz, V Krpā sundar, RK Śrihari
International Journal of Imaging Systems and Technology 7 (4), 320-329, 1996
131996
Embedding HMMs-based models in a Euclidean space: the topological hidden Markov models
D Bouchaffra
Pattern Recognition 43 (7), 2590-2607, 2010
122010
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