D. Bouchaffra, "Conformation-based Hidden Markov Models: Application to Human Face Identification", in: IEEE Transactions On Neural Networks, vol. 21, no. 4, pp. 597-608, 2010 (Manuscript available in pdf format)

D. Bouchaffra, "Application of Topological Hidden Markov Models to Protein Fold Recognition", Submitted to IEEE/ACM Transactions On Computational Biology and Bioinformatics, 2011 (under revision)

D. Bouchaffra, "Embedding HMM-based Models in a Euclidean Space: The Topological Hidden Markov Models", in: Pattern Recognition, Volume 43, Issue 7, July 2010, Pages 2590-2607 (Manuscript available in pdf format).

D. Bouchaffra and A. Amira, "Structural Hidden Markov Models for Biometrics: Fusion of Face and Fingerprint", in: Special Issue of Pattern Recognition Journal (Elsevier), Vol. 41/3 pp 852-867, 2008. (Among the Top 25 Hottest Articles of the PR Journal) (Manuscript available in pdf format)   
  

P. Nicholls, A. Amira, D. Bouchaffra and H. Perrot, "A Statistical Multiresolution Approach for Face Recognition using Structural Hidden Markov Models", in: EURASIP: Journal on Advances in Signal Processing: in Special Issue: "Advanced Signal Processing and Pattern Recognition Methods for Biometrics", Publisher Hindawi Corporation, Volume 2008, Article ID 675787, 13 pages.  (Manuscript available in pdf format)

D. Bouchaffra and J. Tan, "Structural Hidden Markov Models using a Stochastic Context-Free Grammar", in: Control and Intelligent Systems, Vol. 35, No. 3, 2007, ACTA Press

D. Bouchaffra and J. Tan, "Structural Hidden Markov Models using a Relation of Equivalence: Application to Automotive Designs",  in: Data Mining and Knowledge Discovery Journal, Volume 12: 1, Springer-V, 2006. (Springer link) (Manuscript available in pdf format)

D. Bouchaffra and J. Tan, "Introduction to Structural Hidden Markov Models: Application to Handwritten Numeral Recognition", in:  Intelligent Data Analysis Journal, IDA, Vol., 10:1, IOS Press, 2006. (Manuscript available in pdf format)

F. Pernkopf and D. Bouchaffra, "Genetic-based EM Algorithm For Learning Gaussian Mixture Model", in: IEEE Transactions On Pattern Analysis and Machine Intelligence, TPAMI, Vol. 27, no. 8, pp. 1344-1348, Aug. 2005. (Manuscript available in pdf format)

D. Bouchaffra, "Probabilistic Logic with Minimum Perplexity: Application to Language Modeling",  in: Pattern Recognition Journal, Publisher: Elsevier, issue 38:8, 2005. (Manuscript available in pdf format)

D. Bouchaffra, "Introduction of Logic in Language Modelling: The Minimum Perplexity Criterion", in: The International Journal of Robotics and Automation, Volume 20, Issue 3, 2005, Publisher ACTA Press.

D. Bouchaffra, "Topological Dynamic Bayesian Networks: Application to Facial Aging", (Oral Presentation) in: The Proceedings of  IEEE AMFG (Analysis and Modeling of Faces and Gestures) Workshop in conjunction with CVPR (Computer Vision and Pattern Recognition), San Francisco, June 13-18, 2010, Manuscript available in pdf format..

D. Bouchaffra, "Topological Dynamic Bayesian Networks", in: The Proceedings of The 20th IEEE International Conference on Pattern Recognition (ICPR), August 23-26, Istanbul, Turkey 2010.

D. Bouchaffra, "Embedding HMM's-based Models in a Euclidean Space: The Topological Hidden Markov Models", Accepted as oral presentation in: The Proceedings of The 19th IEEE International Conference on Pattern Recognition (ICPR), Tampa Convention Center, Florida, Dec. 8-11, 2008, http://www.icpr2008.org/. Manuscript available in pdf format.