Publications

journal

Journal Papers

The following text applies to any material that appeared in any IEEE Transaction or Elsevier Journal. “Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted components of this work in other works must be obtained from IEEE or Elsevier publishers”.

  1. D. Bouchaffra and F. Ykhlef, “NeuroGame: Deep Learning based on Cooperative Game Theory: Application to Facial Age Estimation,” submitted to IEEE Transaction on Neural Network and Learning Systems, 2023.

  2. D. Bouchaffra and F. Ykhlef, “Improving Recognition of Confusing Arabic Machine-Printed Numerals based on Persistent Homology Clustering,” submitted to Computational Intelligence, Wiley, Jan. 2023. 

  3. F. Ykhlef and D. Bouchaffra, “Lombard effect in Algerian Dialect Speech: Investigation of Boosting and Bypass Strategies in Narrowband Noisy Environment,” in Applied Acoustics, Elsevier, Volume 197, August 2022. 

  4. F. Ykhlef, W. Benzaba, R. Boutaleb, D. Bouchaffra, and A. Derbal, “Investigations of the Potential of Acoustic Speech Regions for Detecting Hostile Talking in Algerian Dialect and German Language,” in Applied Acoustics, Elsevier, Volume 195, 30 June 2022. 

  5. D. Bouchaffra, D., & F. Ykhlef, “Persistent Homology for Land Cover Change Detection,” In Oxford Research Encyclopedia of Natural Hazard Science, Oxford University Press, 2021.

  6. F. Ykhlef, W Benzaba, R Boutaleb, A. Derbal and D. Bouchaffra, “Acted Emotional Corpus of Algerian Dialect Speech: Requirements, Description and Initial Results,” International Journal of Electronics and Electrical Engineering Systems, Vol. 3, No. 3, 2020.

  7. H. Ykhlef and D. Bouchaffra, “Induced Subgraph Game for Ensemble Selection”, in International Journal on Artificial Intelligence Tools, WorldScientific, Volume 26, No. 1, 2017.

  8. H. Ykhlef and D. Bouchaffra, “An Efficient Ensemble Pruning Approach-based on Simple Coalitional Games,” in Information Fusion Journal, Volume 34, March 2017, Pages 28–42, Elsevier.

  9. H. Ykhlef and D. Bouchaffra, “Induced Subgraph Game for Ensemble Selection”, in International Journal on Artificial Intelligence Tools, WorldScientific, Volume 26, No. 1, 2017. (PDF)

  10. H. Ykhlef and D. Bouchaffra, “An Efficient Ensemble Pruning Approach-based on Simple Coalitional Games”, in Information Fusion Journal, Volume 34, March 2017, Pages 28–42, Elsevier, http://www.sciencedirect.com/science/article/pii/S1566253516300562 (PDF)

  11. Sheng H. Kung, Mohamed A. Zohdy and Djamel Bouchaffra, “3D HMM-based Facial Expression Recognition using Histogram of Oriented Optical Flow”, in: TMLAI Transactions On Machine Learning and Artificial Intelligence, Vol. 3, Issue 6, 2015. (PDF)

  12. D. Bouchaffra, “Introduction to NonLinear Topological Component Analysis: Application to Age-Invariant Face Recognition”, in IEEE Transactions On Neural Networks and Learning Systems (TNNLS), Volume 26, Issue 7, 2014. (PDF)

  13. Djamel Bouchaffra (Lead Editor), Mohamed Cheriet, Diane Beck and Marc Jodoin, Special Issue titled: “Machine Learning and Pattern Recognition Models for Change Detection”, in: Pattern Recognition (Elsevier), Volume 48, Issue 3, 2014.

  14. D. Bouchaffra, “Mapping Dynamic Bayesian Networks to Alpha-Shapes: Application to Human Faces Identification across Ages”, in: IEEE Transactions On Neural Networks and Learning Systems (TNNLS), Volume 23, Issue 8, pp. 1229-1241, 2012. (PDF).

  15. D. Bouchaffra, “Conformation-based Hidden Markov Models: Application to Human Face Identification”, in: IEEE Transactions On Neural Networks (TNN), vol. 21, no. 4, pp. 597-608, 2010. (PDF).

  16. D. Bouchaffra, “Application of Topological Hidden Markov Models to Protein Fold Recognition”, IEEE/ACM Transactions On Computational Biology and Bioinformatics. 2016.

  17. D. Bouchaffra, “Embedding HMM-based Models in a Euclidean Space: The Topological Hidden Markov Models”, in: Pattern Recognition (Elsevier), Volume 43, Issue 7, July 2010, Pages 2590-2607. (PDF).

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

  19. 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. (PDF)

  20. 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. (PDF)

  21. 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. (PDF)

  22. D. Bouchaffra and J. Tan, “Structural Hidden Markov Models: Application to Handwritten Numeral Recognition”, in: Intelligent Data Analysis Journal, IDA, Vol., 10:1, IOS Press, 2006. (PDF)

  23. 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. (PDF)

  24. D. Bouchaffra, “Probabilistic Logic with Minimum Perplexity: Application to Language Modeling”, in: Pattern Recognition, Publisher: Elsevier, issue 38:8, 2005. (PDF)

  25. 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.

  26. H. Chekireb, M. Tadjine, D. Bouchaffra, “Direct Adaptive Fuzzy Control of Nonlinear System Class with Applications”, in: The International Journal of Control and Intelligent Systems, Vol. 31, No. 2, Published by ACTA Press, 2003. (PDF)

  27. D. Bouchaffra, V. Govindaraju and S. N. Srihari, “Postprocessing of Recognized Strings using Nonstationary Markovian Models”, in: IEEE Transactions On Pattern Analysis and Machine Intelligence, TPAMI, Vol. 21, No. 10, October, 1999. (PDF)

  28. D. Bouchaffra, V. Govindaraju and S. N. Srihari, “A Methodology for Mapping Scores to Probabilities”, in: IEEE Transactions On Pattern Analysis and Machine Intelligence, TPAMI, Vol. 21, No. 9, Sept 99. (PDF)

  29. D. Bouchaffra, E. Koontz, V. Kripasundar and R. K. Srihari, “Incorporating Diverse Information Sources in Handwriting Recognition Post-Processing”, in: International Journal of Imaging Systems and Technology (IJIST), vol. 7, issue 4, Published by John Wiley, June 1996, pp. 320-329. (PDF) (Link from Wiley)

  30. D. Bouchaffra, “Theory and Algorithms for Analysing the Consistent Regions in Probabilistic Logic”, in: International Journal of Computers and Mathematics with Applications, Published by Pergamon Press, Vol 25, N.3, pp 13-s25, 1993. (PDF)

  31. D. Bouchaffra and J. Rouault, “A Nonstationary Hidden Markov Model with a Hard Capture of Observations: Application to the Problem of Morphological Ambiguities”, in “Probabilistic approaches to Natural Language”, Technical Report Numbered FS-92-04, AAAI Press, American Association for Artificial Intelligence, 1993. (PDF)

book

Book Chapters

  1. F. Benayad, D. Bouchaffra, F. Ykhlef, and A. Abdelkrim, “Categorization of Emotion Based on Causality,” in Medical Technologies Journal, 5(1), 614-627, 2023.

  2. D. Bouchaffra, F. Ykhlef, and A. Baouta, “Long Short-Term Memory Neural Network, Bottleneck Distance and their Combination for Topological-based Facial Expression  Recognition,” in Image Processing and Intelligent Computing Systems, Edited By Prateek  Singhal, Abhishek Verma, Prabhat Kumar Srivastava, Virender Ranga, Ram Kumar, CRC-Press,  Taylor and Frances, Jan 2023.

  3. F. Ykhlef and D. Bouchaffra, “Comparative Performance Study of Feature Selection  Techniques for Detection of Parkinson’s Disease from Speech,” in Image Processing and  Intelligent Computing Systems, Edited By Prateek Singhal, Abhishek Verma, Prabhat Kumar  Srivastava, Virender Ranga, Ram Kumar, CRC-Press, Taylor and Frances, Jan 2023.

  4. D. Bouchaffra, F. Ykhlef, and Y. Bennamane, “Feature Extraction based on Wavelet Transform for Classification of Stress Level”, in Advances in Multidisciplinary Medical Technologies-Engineering, Modeling and Findings, Springer Sept. 2020.

  5. F. Ykhlef and D. Bouchaffra, “Acoustic Contrast Between Neutral and Angry Speech: Variation of Prosodic Features in Algerian Dialect Speech and German Speech”, in Advances in Multidisciplinary Medical Technologies – Engineering, Modeling and Findings, Springer. Sept. 2020.

  6. D. Bouchaffra and J. Tan, “Structural Hidden Markov Model and Its Application in Automotive Industry”, in Enterprise Information Systems V, Camp, O.; Filipe, J.B.; Hammoudi, S.; Piattini, M.G. (Eds.), XIV, 332 p., Hardcover, ISBN: 1-4020-1726-X, Published by Springer, 2004.

  7. D. Bouchaffra and J. Rouault, “Capturing Observation in a Nonstationary Hidden Markov Model” , Selected papers in “Models Selection from Data: Artificial Intelligence and Statistics IV”, in: Lecture notes in Statistics, Vol. 89, edit. P. Cheeseman & R. Oldford, published by Springer-Verlag, 1994.

  8. D. Bouchaffra, “Consistent Regions in Probabilistic Logic when using Different Norms”, Complete Version, in: Selected papers in Artificial Intelligence Frontiers in Statistics: AI and Statistics III, edit. David .J. Hand, published by Chapman and Hall London, pp 370-386, 1993.

  9. D. Bouchaffra, “A Relation between Isometries and the Relative Consistency Concept in Probabilistic Logic”, Selected papers in AI, Expert Systems and Symbolic Computing for Scientific Computation, edit. J. Rice and E. N. Houstis, published by Elsevier North-Holland, 1992.

lecture

Papers in Conference Proceedings (Refereed)

  1. R. Khoufache, M. Lebbah, H. Azzag, E. Goffine, and D. Bouchaffra, “Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning,” submitted to Siam International Conference on Data Mining, 18-20 2024, TX, USA.

  2. B. Faye, H. Azzag, M. Lebbah, M. D. Dilmi, and D. Bouchaffra, “Context Normalization Layer with Applications,” in Proceedings of IEEE International Conference on Data Mining (ICDM 23), DLC workshop, December 1-4, 2023, Shanghai, China.

  3. D. Bouchaffra and M. Khodja, “Persistent Homology: A Novel Perspective for Land Cover Change Detection in Remote Sensing”, Colloquium Academy of Sciences – Algerian Academy of Sciences, at Institut de France of the French Academy of Sciences, 6-7 Novembre 2019, Paris, France.

  4. H. Ykhlef and D. Bouchaffra, “Selection of Optimal Sub-ensembles of Classifiers through Evolutionary Game Theory” (Accepted for Oral Presentation), IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC 2019), October 6-9 2019, Bari, Italy.

  5. Djamel Bouchaffra, Assia Baouta, Faycal Ykhlef and Jun Tan, “Land Cover Change Detection based on Homology Theory”, in IEEE Proceedings of the 6th International Conference on Image and Signal Processing and Their Applications (ISPA’19), November 5-6, 2019, Mostagnem, Algeria.

  6. F. Ykhlef, A. Derbal, W. Benzaba, R. Boutaleb, D. Bouchaffra and H. Meraoubi, “Towards Building an Emotional Speech Corpus of Algerian Dialect: Criteria and Preliminary Assessment Results”, in IEEE Proceedings of the International Conference on Advanced Electrical Engineering 2019 (ICAEE 2019), November 19-21, 2019, Algiers, Algeria.

  7. F. Ykhlef, S.A. Hamada, F.A.Ykhlef, A. Derbal, and , D. Bouchaffra“, Real-time detection of impulsive sounds for audio surveillance systems”, in Proceedings of the 3rd edition of the National Study Day on Research on Computer Sciences (JERI’19), April 27, 2019, Algeria.

  8. D. Bouchaffra, F. Ykhlef and A. Allam, “Core Rock Characterization using Digital Imaging (CT-Scan) and Machine Learning Models”, 11èmes Journées Scientifiques et Techniques (JST11): Innovation Et Partenariat, Dans un Contexte Mondial de Transition Energétique, 16 – 19 April, 16-19, 2018 Oran, Algeria (best paper award).

  9. H. Ykhlef and D. Bouchaffra, “Induced Subgraph Game for Ensemble Selection”, (Oral Presentation) in Proceedings of the 27th International Conference on Tools with Artificial Intelligence, November 9-11, 2015, Vietri Sul Mare, Italy (best student paper award).

  10. A. Touazi and D. Bouchaffra, “A k-Nearest Neighbor approach to improve change detection from remote sensing: Application to optical aerial images“, 15th International Conference on Intelligent Systems Design and Applications (ISDA), December 2015, Marrakesh. Morocco.

  11. N. Zerrouki and D. Bouchaffra, “Pixel-based or Object-based: Which Approach is More Appropriate for Remote Sensing Image Classification?”, .Oral Presentation) in: Proceedings of the 2014 IEEE International Conference on Systems, Man and Cybernetics, (SMC), 05 October through 08 October 2014, Paradise Point Resort and Spa, San Diego, California, USA.

  12. H. Ykhlef and D. Bouchaffra, “Coalitional Game-based Adaboost” (Oral Presentation) in: Proceedings of the 2014 IEEE International Conference on Systems, Man and Cybernetics, (SMC), 05 October through 08 October 2014, Paradise Point Resort and Spa, San Diego, California, USA.

  13. A. Touazi, F. Mokdad and D. Bouchaffra, “Feature Selection Scheme Based on Zero-Sum two Players Game”, in: The Proceedings of The 22nd IEEE International Conference on Pattern Recognition (ICPR), August 24-28, Stockholm, Sweden 2014.

  14. Youcef Brik, Nabil Zerrouki and Djamel Bouchaffra, “Combining Pixel and Object-based Approaches for Multispectral Image Classification using Dempster-Shafer Theory”, in: 2013 International Conference on Signal-Image Technology & Internet-Based Systems, Terrsa Conference Center Kyoto, Japan.

  15. D. Bouchaffra and F. Ykhlef, “Mathematical Models for Machine Learning and Pattern Recognition”, in IEEE Proceedings of the 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA), Zeralda, Algeria, 2013. (PDF)

  16. D. Bouchaffra, “Topological Dynamic Bayesian Networks: Application to Human Face Identification across Ages”, (Oral Presentation) in: Proceedings of IEEE Computer Society on Computer Vision and Pattern Recognition Workshops (CVPRW), San Francisco, June 13-18, 2010, pp. 1-8. (PDF)

  17. 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. (PDF)

  18. 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. (PDF)

  19. P.Nichols, A. Amira, and D. Bouchaffra, “Multiresolution Hybrid Approaches for Automated Face Recognition“, Accepted as Oral Presentation in the IEEE NASA/ESA (European Space Agency) AHS Conference, Special Session on Secure Data and Information Systems, August 5-8, 2007, University of Edinburgh, Scotland, UK. (PDF)

  20. Djamel Bouchaffra and Jun Tan, “Protein Fold Recognition using a Structural Hidden Markov Model”, in: The Proceedings of The 18th IEEE International Conference on Pattern Recognition (ICPR), Hong Kong, 20-24 August 2006 (Proceedings Published by IEEE Computer Society). (PDF)

  21. Djamel Bouchaffra, “Introduction to Functional Set Theory and Its Principles: Fusion of Statistics and Syntax”, in: The Proceedings of ANNIE’2004, Smart Engineering System Design-Neural Network, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life, Nov. 7-10, 2004, University of Missouri-Rolla. (PDF)

  22. Djamel Bouchaffra and Jun Tan, “Introduction to Structural HMM and it’s Application in Pattern Classification”, in: The Proceedings of ANNIE’2004, Smart Engineering System Design-Neural Network, Fuzzy Logic, Evolutionary Programming, Complex Systems and Artificial Life, Nov. 7-10, 2004, University of Missouri-Rolla. (PDF)

  23. Djamel Bouchaffra and Jun Tan, “Introduction to the Concept of Structural HMM: Application to Mining Customers’ Preferences for Automotive Designs”, in: The Proceedings of The 17th IEEE International Conference on Pattern Recognition (ICPR) Cambridge, United Kingdom, 23-26 August, 2004 (Proceedings Published by IEEE Computer Society). (PDF)

  24. Djamel Bouchaffra and Jun Tan, “Subjective Labeling using a Pyramidal Representation”, in: The Proceedings of The 16th International Conference on Industrial & Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE-2003), Loughborough, UK, June 23-26, 2003.

  25. Djamel Bouchaffra and Jun Tan, “Structural HMM Modeling and its Applications in Automotive Industry”, in: The 5th International Conference on Enterprise Information Systems, Angers – France 23-26, April 2003.

  26. Djamel Bouchaffra, and Jun Tan, “Mapping Designs to User Perceptions using a Structural HMM: Application to Kansei-Engineering”, in: IEEE International Conference on Computational Intelligence for Modelling, Control and Automation – CIMCA’2003 (chaired by Lotfi Zadeh and Stephen Grossberg), 12-14 February 2003, Vienna – Austria.

  27. AH Zaied, Mohamed Zohdy, Djamel Bouchaffra,  “Fuzzy System Inference for Automated Surface Finishing Process”, in: Six International Conference on Design and Production Engineering, Cairo, Egypt, 2002 (PDF).

  28. Sawsan Aboul-Hassan and Djamel Bouchaffra, “Automotive Design Driven by Pattern Recognition”, in: Smart Engineering System Design, Annie’2001 Conference Proceedings, University of Missouri-Rolla, November 4-7, 2001 (nominated for the best paper award).

  29. M. Zohdy, D. Bouchaffra and J. Quinlan, “Optimal Mapping from Chromosome Space to Feature Space for Solving Sequential Pattern Recognition Problems”, in: Proceedings of the IEEE Midwest Symposium on Circuit and Systems, Dayton, Ohio, August 14-17th, 2001. (PDF)

  30. Lina Shoshani and Djamel Bouchaffra, “Identification of Handwritten Digits Using K-Nearest Neighbor”, in: Proceedings of the Second IEEE Electro-Information Technology Conference, Oakland University June 7-9, 2001.

  31. D. Bouchaffra, V. Govindaraju and S. N. Srihari, “Recognition of Strings using Non-stationary Markovian Models: An Application to ZIP Code Recognition” , (Paper Accepted as Oral Presentation) in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’99), June 23-25, 1999, Fort Collins, Colorado, USA. (PDF)

  32. D. Bouchaffra, V. Govindaraju and S. N. Srihari,“A Methodology for Deriving Probabilistic Correctness from Recognizers”, (Paper Accepted as Oral Presentation) in: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’98), Santa Barbara, California, USA, June 23-25, 1998. (PDF)

  33. Djamel Bouchaffra, Eugene Koontz, V. Kripasundar, Rohini K. Srihari and Sargur N. Srihari, “Integrating Signal and Language Context to Improve Handwritten Phrase Recognition: Alternative Approaches”,  in: Proceedings of the Sixth International Workshop on Artificial Intelligence and Statistics, Ft. Lauderdale Florida USA, Jan. 4-7, 1997. (PDF)

  34. D. Bouchaffra and J.G. Meunier, “A Markov Mesh on Uncertain-Galois Lattice: Classification in Terminology”, in: Proceedings of the “3rd International Conference on Statistical Analysis of Textual Data, SATD’95, Rome, Italy, December 11-13., Published by CISU. (PDF)

  35. D. Bouchaffra and J.G. Meunier, “A Thematic Knowledge Extraction Modeling through a Markovian Random Field Approach” in: Proceedings of the 6th International DEXA Conference and Workshop on Database and Expert Systems Applications, DEXA’95, Sept 19-22, London, U.K., Published by DEXA Association. (PDF)

  36. D. Bouchaffra D. and J. G. Meunier, “A Markov Random Field Approach to Automatic Information Retrieval”, in: Proceedings of the “Third International Conference on Document Analysis and Recognition, ICDAR’95”, August 14-16, Montréal, CA, published by IEEE Society (nominated for the best paper award). (PDF)

  37. D. Bouchaffra, G. Lallich-Boidin and J. Rouault, “Champs de Markov et Espaces Métriques dans la Recherche d’Information”, in: Proceedings of the ALLCACH, 18-22 avril 1994, Sorbonne, Paris (France).

  38. D. Bouchaffra, G. Lallich-Boidin and J. Rouault, “Echantillonage Stratifié avec Restimation (Bootstrap): Application à l’Analyse Morphologique”, in: Proceedings of the Secondes Journées internationales d’Analyse Statistique de Données Textuelles, Montpellier (France), 21-22 octobre 1993.

  39. D. Bouchaffra and J. Rouault, “Different Ways of Capturing the Observations in a Nonstationary Hidden Markov Model: Application to part of speech tagging”, in: Proceedings of the Fourth International Workshop on Artificial Intelligence and Statistics, Fort-Lauderdale, Florida USA, Jan. 4-7, 1993.

  40. D. Bouchaffra, “Consistent Regions in Probabilistic Logic when using Different Norms”, in: Proceedings of the Third International Workshop on Artificial Intelligence and Statistics, Fort Lauderdale, Florida, USA, Jan. 2-5, 1991.

  41. D. Bouchaffra, “A Relation between Isometries and the Relative Consistency Concept in Probabilistic Logic”, in: 13th IMACS world Congress on Computation and Applied Mathematics, Trinity college, Dublin, Ireland, july 22-26, 1991.

teaching

Teaching Publication

Bouchaffra, “Teaching: An Art But A Mutual Challenge”, Published in the Oakland University Newsletter, March 2005.