Publications

Patents/Brevets

2023

GRÉGORY T., BENNANI Y., DACHEUX C. (2023), «De la chirurgie assistée par ordinateur à la chirurgie guidée par l’intelligence artificielle», Novembre 2023, ISTE Group, Intelligence artificielle, santé et droit, collection Sciences, société et nouvelles technologies ISBN papier : 9781784059774, ISBN ebook : 9781784069773, pp. 117-123.

DÉCHAUMET L., BENNANI Y., KARKAZAN J., BEN SALEM N., BARBARA A., DACHEUX C., GRÉGORY T. (2023), «Détection des structures anatomiques et des lésions en chirurgie de la main par intelligence artificielle», Novembre 2023, ISTE Group, Intelligence artificielle, santé et droit, collection Sciences, société et nouvelles technologies ISBN papier : 9781784059774, ISBN ebook : 9781784069773, pp. 125-150.

BEN SALEM N., BENNANI Y., KARKAZAN J., DÉCHAUMET L., BARBARA A., DACHEUX C., GRÉGORY T., (2023), «Diagnostic chirurgical augmenté par intelligence artificielle», Novembre 2023, ISTE Group, Intelligence artificielle, santé et droit, collection Sciences, société et nouvelles technologies ISBN papier : 9781784059774, ISBN ebook : 9781784069773, pp. 153-173.

BARBARA A., BENNANI Y., KARKAZAN J. (2023), «On The Use of Persistent Homology to Control the Generalization Capacity of a Neural Network», in Communications in Computer and Information Science, CCIS Springer, Proc of ICONIP'23 : 30th International Conference on Neural Information Processing, 20th – 23th November 2023 - Changsha, China.

BEN SALEM N., BENNANI Y., KARKAZAN J., BARBARA A., DACHEUX C., GREGORY T., (2023), « Self-Training and Modular Approaches for Surgical Image Recognition», in Proc of IEEE World Congress on Computational Intelligence, IEEE International Joint Conference on Neural Network (IEEE IJCNN), 18–23 June, 2023, Gold Convention and Exhibition Centre, Queensland, Austalia. (Medical Research Award 2023)

DECHAUMET L., BENNANI Y., KARKAZAN J., BARBARA A., DACHEUX C., GREGORY T., (2023), «Modular Self-Supervised Learning for Anatomical Structure Exploration in Hand Surgery», in Proc of IEEE World Congress on Computational Intelligence, IEEE International Joint Conference on Neural Network (IEEE IJCNN), 18–23 June, 2023, Gold Convention and Exhibition Centre, Queensland, Austalia. (Medical Research Award 2023)

BACHIRI, K., YAHYAOUY, A., GUALOUS, H., MALEK, M., BENNANI, Y., MAKANY, P., ROGOVSCHI N., (2023). " Multi-Agent DDPG Based Electric Vehicles Charging Station Recommendation". Energies, 16(16), 6067.

DECHAUMET L., BENNANI Y., KARKAZAN J., BEN SALEM N., BARBARA A., DACHEUX C., GREGORY T., (2023), " Détection des structures anatomiques et des lésions en chirurgie de la main par intelligence artificielle ", In Sciences et Sens de l'Intelligence Artificielle, sous la direction de Guilhem Julia, Collection DALLOZ.

BEN SALEM N., BENNANI Y., KARKAZAN J., DECHAUMET L., BARBARA A., DACHEUX C., GREGORY T., (2023), " Diagnostic chirurgical augmenté par intelligence artificielle ", In Sciences et Sens de l'Intelligence Artificielle, sous la direction de Guilhem Julia, Collection DALLOZ.

GREGORY T., BENNANI Y., DACHEUX C.,  (2023), " De la chirurgie assistée par ordinateur à la chirurgie guidée par l'intelligence artificielle : l'exemple de la chirurgie orthopédique et traumatologique", In Sciences et Sens de l'Intelligence Artificielle, sous la direction de Guilhem Julia, Collection DALLOZ.

2022

EL HAMRI M., BENNANI Y., FALIH I. (2022), «Hierarchical Optimal Transport for Unsupervised Domain Adaptation»,  in Machine Learning Journal, Springer Nature.

BACHIRI K., YAHYAOUY A., BENNANI Y., ROGOVSCHI N., GHALOUS H. (2022), «Optimal Charging Station of an Electric Vehicle using Deep Reinforcement Learning», International Conference on Big Data, Artificial Intelligence and Robotic (ICBAIR'22), 24-26 November, Marrakech.

EL HAMRI M., BENNANI Y., FALIH I. (2022), «Hierarchical Optimal Transport for Unsupervised Domain Adaptation», in Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD), Springer, 19-23 September 2022, Grenoble, France.

EL HAMRI M., BENNANI Y., FALIH I. (2022), «Incremental Unsupervised Domain Adaptation Through Optimal Transport», in Proc of IEEE World Congress on Computational Intelligence, IEEE International Joint Conference on Neural Network (IEEE IJCNN), 18–23 July, 2022, Padova, Italy.

BENLAMINE K., BENNANI Y., MATEI B., GROZAVU N., FALIH I. (2022), «Collaborative Learning to Improve the Non Uniqueness of NMF», in IJCIA, International Journal of Computational Intelligence and Applications, Vol. 21, No. 1, World Scientific Publishing Europe Ltd.

EL HAMRI M., BENNANI Y., FALIH I. (2022), «When Domain Adaptation Meets Semi-Supervised Learning Through Optimal Transport», in LNCS Springer IFIP AICT Proc of AIAI'22 : 18th International Conference on Artificial Intelligence Applications and Innovations, 17-20 June 2022 - Crete, Greece.

ZAIOU A., BENNANI Y., HIBTI M., MATEI B. (2022), «Quantum Approach for Vertex Separator Problem in Directed Graphs», in LNCS Springer IFIP AICT Proc of AIAI'22 : 18th International Conference on Artificial Intelligence Applications and Innovations, 17-20 June 2022 - Crete, Greece.

ZAIOU A., BENNANI Y., MATEI B., HIBTI M. (2022), «A Quantum Learning Approach Based on Hidden Markov Models for Failure Scenarios Generation», in Proc of CACML'22: Conference on Algorithms, Computing and Machine Learning, March 25-27, 2022, Hangzhou, China.

BEN BOUAZZA F-Z., BENNANI Y., EL HAMRI M. (2022), «An Optimal Transport Framework for Collaborative Multi-View Clustering», In Recent Advancements in Multi-View Data Analytics, by Witold Pedrycz and Shyi-Ming Chen (Editors), LNCS, Springer-Verlag.

ROGOVSCHI N., BENNANI Y., ZOUININA S. (2022), «Data Anonymization Through Multi-modular Clustering», In Recent Advancements in Multi-View Data Analytics, by Witold Pedrycz and Shyi-Ming Chen (Editors), LNCS, Springer-Verlag.

GROZAVU N., MATEI B., BENNANI Y., BENLAMINE K. (2022), «Multi-View Clustering Based on Non-negative Matrix Factorization », In Recent Advancements in Multi-View Data Analytics, by Witold Pedrycz and Shyi-Ming Chen (Editors), LNCS, Springer-Verlag.

2021

EL HAMRI M., BENNANI Y., FALIH I. (2021), «Inductive Semi-supervised Learning Through Optimal Transport», in Communications in Computer and Information Science, CCIS Springer, Proc of ICONIP'21 : 28th International Conference on Neural Information Processing, 8th – 12th Dec 2021 - Bali, Indonesia.

KADDOUH M., CABANES G., BENNANI Y. (2021), «Incorporating neighborhood information during NMF learning», in Communications in Computer and Information Science, CCIS Springer, Proc of ICONIP'21 : 28th International Conference on Neural Information Processing, 8th – 12th Dec 2021 - Bali, Indonesia.

ZAIOU A., BENNANI Y., MATEI B., HIBTI M. (2021), «Convex Non-Negative Matrix Factorization Through Quantum Annealing», in Proc of DSS'21 : IEEE International Conference on Data Science and Systems, IEEE Computer Society Press, December 17-19, 2021, Haikou, Hainan, China.

FOUCADE Y., BENNANI Y. (2021), «Collaborative Random Forests Learning», in Proc of DSS'21 : IEEE International Conference on Data Science and Systems, IEEE Computer Society Press, December 17-19, 2021, Haikou, Hainan, China.

ZAIOU A., BENNANI Y., MATEI B., HIBTI M. (2021), «Balanced K-means using Quantum Annealing», in Proc of SSCI'21 : IEEE Symposium Series on Computational Intelligence, December 5-8, 2021, Orlando, Florida, USA.

EL HAMRI M., BENNANI Y., FALIH I. (2021), «Label propagation through optimal transport», IEEE International Joint Conference on Neural Network (IJCNN'21), on July 18 - 22, 2021.

BEN BOUAZZA F-Z., BENNANI Y., TOUZANI A., CABANES G. (2021), «Unsupervised collaborative learning based on optimal transport theory», Journal of Intelligent Systems (JISYS), De Gruyter Poland Ltd.

FOUCADE Y., BENNANI Y. (2021), «Unsupervised collaborative learning using privileged information», CoRR abs/2103.13145.

BEN BOUAZZA F-Z., BENNANI Y. (2021), «Selective information exchange in collaborative clustering using regularized optimal transport», CoRR abs/2103.12071.

EL HAMRI M., BENNANI Y. (2021), «Incremental Semi-supervised Learning Through Optimal Transport», CoRR abs/2103.11937.

CABANES G., BENNANI Y., VERDE R., IRPINO A. (2021), «On the use of Wasserstein metric in Topological Clustering of Distributional Data»,  CoRR abs/2109.04301.

EL HAMRI M., BENNANI Y., FALIH I., AHAGGACH H. (2021), «Hierarchical Optimal Transport for Unsupervised Domain Adaptation»,  CoRR abs/2112.02073.

ZOUININA S., BENNANI Y., ROGOVSCHI N., LYHYAOUI A. (2021), «Data Anonymization through Collaborative Multi-view  Microaggregation», Journal of Intelligent Systems (JISYS), 30(1): 327-345, De Gruyter Poland Ltd.

KARKAZAN A.B.J., HAMMOUTENE R., NAHRI I., DACHEUX C., BENNANI Y., GREGORY T. (2021), «Artificial Intelligence can accurately identify two pathways to the hand and wrist», Hand Surgery and Rehabilitation, 40(6):899-DOI:10.1016/j.hansur.2021.10.220.

GREGORY T., KARKAZAN A.B.J., DACHEUX C., NAHRI I., BENNANI Y.,  (2021), «The detection of anatomical structures of the hand is possible in augmented reality thanks to the use of artificial intelligence», Hand Surgery and Rehabilitation, 40(6):900-DOI:10.1016/j.hansur.2021.10.221.

2020

BENNANI Y. (2020), «L’inintelligence de l’intelligence artificielle», Sciences & sens de l’intelligence artificielle, Edition Dalloz.

REDKO I., MORVANT E., HABRARD A., SEBBAN M., BENNANI Y. (2020), «A survey on domain adaptation theory: learning bounds and theoretical guarantees», CoRR abs/2004.11829.

FOUCADE Y., BENNANI Y. (2020), «Unsupervised learning from data and learners», in Advances in Intelligent Systems and Computing, ISBN 978-3-030-73688-0, Springer Nature International Publishing.

BENLAMINE K., BENNANI Y., MATEI B., GROZAVU N. (2020), «Quantum Semi Non-Negative Factorization», in Advances in Intelligent Systems and Computing, ISBN 978-3-030-73688-0, Springer Nature International Publishing.

BEN BOUAZZA F-Z., BENNANI Y., TOUZANI A., CABANES G. (2020), «Subspace guided collaborative clustering based on optimal transport», in Advances in Intelligent Systems and Computing, ISBN 978-3-030-73688-0, Springer Nature International Publishing.

RECANATI A., GROZAVU N., BENNANI Y., GAUTHERON C., MISSENARD Y. (2020), «Apatite (U-Th-Sm)/He date dispersion: First insights from machine learning algorithms», Elsevier, Earth and Planetary Science Letters, https://doi.org/10.1016/j.epsl.2020.116655.

BENLAMINE K., BENNANI Y., GROZAVU N., MATEI B. (2020), «Quantum Collaborative K-means», IEEE World Congress on Computational Intelligence, IEEE International Joint Conference on Neural Network (IEEE IJCNN), 19–24 July, 2020, Glasgow (UK).

ZOUININA S., BENNANI Y., ROGOVSCHI N., LYHYAOUI A. (2020), «A Two-levels Data Anonymization Approach», in the Springer IFIP AICT Series, International Conference on Artificial Intelligence Applications and Innovations  (AIAI), 5 – 7 June, 2020, Halkidiki, Greece.

BERDEDDOUCH A., YAHYAOUY A., BENNANI Y., VERDE R. (2020), «Deep Based Recommender System For Relevant K Pick-up Points», in T. Masrour, A. Cherrafi, and I. El Hassani, editors, Artificial Intelligence and Industrial Applications, A2IA 2020. Advances in Intelligent Systems and Computing, vol 1193, pages 277–289. Springer Nature International Publishing.

BEN BOUAZZA F-Z., BENNANI Y., CABANES G., TOUZANI A. (2020), «Collaborative Clustering through Optimal Transport», Springer in Lecture Notes in Computer Science, IEEE-ICANN’20, 29th International Conference on Artificial Neural Networks, September 15-18, 2020, Bratislava, Slovakia.

2019

REDKO I., MORVANT E., HABRARD A., SEBBAN M., BENNANI Y. (2019), «Advances in Domain Adaptation Theory», 1st Edition, 2019, ISBN: 9781785482366, ISTE-Elsevier.

RASTIN P., CABANES G., MATEI B., BENNANI Y., MARTY J-M. (2019), «A new sparse representation learning of complex data: application to dynamic clustering of web navigation», Pattern Recognition, 2019, The Journal of Pattern Recognition Society, Elsevier.

RASTIN P., MATEI B., CABANES G., GROZAVU N., BENNANI Y. (2019),  «Impact of Learners' Quality and Diversity in Collaborative Clustering», International Journal of Artificial Intelligence and Soft Computing Research.

BENLAMINE K., BENNANI Y., ZAIOU A., HIBTI M., MATEI B., GROZAVU N. (2019), «Distance estimation for Quantum Prototypes based Clustering», in Lecture Notes in Computer Science, LNCS Springer, Proc of ICONIP'19 : 26th International Conference on Neural Information Processing, 12th – 15th Dec 2019 - Sydney, Australia.

RASTIN P., CABANES G., VERDE R., BENNANI Y., COURONNE T. (2019), «Generative Histogram-based Model using Unsupervised Learning», in Lecture Notes in Computer Science, LNCS Springer, Proc of ICONIP'19 : 26th International Conference on Neural Information Processing, 12th – 15th Dec 2019 - Sydney, Australia.

BEN BOUAZZA F-Z., BENNANI Y., EL HAMRI M., CABANES G., MATEI B., TOUZANI A. (2019), «Multi-view Clustering through Optimal Transport», in Australian Journal of Intelligent Information Processing Systems (AJIIPS), 12(3), 2019. Machine Learning Applications.

BRAHMI I., CABANES G., BENNANI Y. TOUZANI A. (2019), «Deepness Analysis of Learned Factors in Multilayer NMF», in Australian Journal of Intelligent Information Processing Systems (AJIIPS), 12(3), 2019. Machine Learning Applications.

ZOUININA S., BENNANI Y., BEN FARES M., ROGOVSCHI N., LYHYAOUI A. (2019), «Preserving Utility during Attribute-oriented Data Anonymization Process», in Australian Journal of Intelligent Information Processing Systems (AJIIPS), 12(3), 2019. Machine Learning Applications.

BENLAMINE K., GROZAVU N., BENNANI Y., MATEI B. (2019), «Collaborative Non-negative Matrix Factorization», Springer in Lecture Notes in Computer Science, IEEE-ICANN’19, 28th International Conference on Artificial Neural Networks, 17–19 September, 2019, Munich, Germany.

RASTIN P.,BENNANI Y., VERDE R. (2019), «Automatic detection of the support points in relational clustering», IEEE International Joint Conference on Neural Network (IEEE IJCNN), 14-19 July 2019, Budapest, Hungary.

RIFI M., HIBTI M., VERMUSE S., BENNANI Y., KANAWATI K. (2019), « A complex network analysis for balanced design verification», International Topical Meeting on Probabilistic Safety Assessment and Analysis (PSA ), 28 April - 3 May 2019 Charleston. USA.

FALIH I., GROZAVU N., KANAWATI R., BENNANI Y. (2019), « Collaborative Multi-View Clustering», Complexity Analysis of Industrial Systems and Advanced Modelling, Ben Guerir, Kingdom of Morocco, April 2019.

2018

CORNUEJOLS A., WEMMERT C., GANCARSKI P., BENNANI Y.  (2018),  «Collaborative Clustering: Why, When, What and How»,  International Journal on Information Fusion  (Information Fusion), Elsevier, Volume 39, January 2018, Pages 81–95.

ZOUININA S., GROZAVU N., BENNANI Y. , LYHYAOUI A., ROGOVSCHI N. (2018), «Topological k-Anonymity Model based on Collaborative Multi-view Clustering», Springer in Lecture Notes in Computer Science, IEEE-ICANN’18, 27th International Conference on Artificial Neural Networks, 4th – 7th October, 2018, Rhodes, Greece.

ZOUININA S., GROZAVU N., BENNANI Y. , LYHYAOUI A., ROGOVSCHI N. (2018), «Efficient k-anonymization through constrained sparse collaborative clustering», IEEE-SSCI’18, Symposium Series on Computational Intelligence, 18 - 21 November, 2018, Bengaluru, India.

CABANES G., VERDE R., BENNANI Y. (2018), «Dynamic topological clustering of distributional data», in  Proc. XXI International Symposium on Mathematical Methods Applied to the Sciences (SIMMAC), San José, Costa Rica, 22/02-02/03 2018. UCR.

GROZAVU N., ROGOVSCHI N., BENNANI Y., OZAWA S. (2018), «Topological co-clustering and visualization for heterogenoeous data», in  Proc. XXI International Symposium on Mathematical Methods Applied to the Sciences (SIMMAC), San José, Costa Rica, 22/02-02/03 2018. UCR.

FALIH I., GROZAVU N., KANAWATI R., BENNANI Y. (2018), «Community Detection in Attributed Network », in  Proc. WWW'18 : International World Wide Web Conference,  23-27 april 2018, Lyon, France.

FALIH I., GROZAVU N., KANAWATI R., BENNANI Y. (2018), «Topological Multi-View Clustering for Collaborative Filtering Detection», The 3rd INNS Conference on Big Data and Deep Learning (INNS BDDL), April 17 – 19, 2018, Sanur, Bali, Indonesia.

FALIH I., GROZAVU N., KANAWATI R., BENNANI Y., MATEI B. (2018), «Collaborative Multi-View Attributed Networks Mining», IEEE World Congress on Computational Intelligence, IEEE International Joint Conference on Neural Network (IEEE IJCNN), 8-13 July 2018, Rio de Janeiro, Brazil.

SUBLIME J., MAUREL D., GROZAVU N., MATEI B., BENNANI Y.  (2018), «Optimizing exchange confidence during collaborative clustering», IEEE World Congress on Computational Intelligence, IEEE International Joint Conference on Neural Network (IEEE IJCNN), 8-13 July 2018, Rio de Janeiro, Brazil.

BENLAMINE K., GROZAVU N., BENNANI Y., ROGOVSCHI N., AMAMOU A., HADDADOU K.. (2018), «Domain name recommendation based on neural network», The 3rd INNS Conference on Big Data and Deep Learning (INNS BDDL), April 17 – 19, 2018, Sanur, Bali, Indonesia.

BRAHMI I., CABANES G., BENNANI Y., MATEI B. (2018), «Learning Useful Representations Through Stacked Self Organizing Maps», IEEE World Congress on Computational Intelligence, IEEE International Joint Conference on Neural Network (IEEE IJCNN), 8-13 July 2018, Rio de Janeiro, Brazil.

BOULBAZINE S., CABANES G., MATEI B., BENNANI Y.  (2018), «Online Semi-supervised Growing Neural Gas for Multi-labels Data Classification», IEEE World Congress on Computational Intelligence, IEEE International Joint Conference on Neural Network (IEEE IJCNN), 8-13 July 2018, Rio de Janeiro, Brazil.

2017

LACLAU C., REDKO I., MATEI B., BENNANI Y., BRAULT V.  (2017), «Co-clustering through Optimal Transport», International Conference on Machine Learning (ICML'17), Aug. 6-12 2017, Sydney, Australia.

SUBLIME J., MATEI B.,   CABANES G., GROZAVU N., BENNANI Y., CORNUEJOLS A. (2017),  «Entropy Based Probabilistic Collaborative Clustering», Pattern Recognition, 2017, The Journal of Pattern Recognition Society, Elsevier.

CABANES G., BENNANI Y., IRPINO A. (2017), « Histogram Data Stream Clustering using Dynamic Topological Learning », in  Proc. ISI'17 : 61st International Statistical Institute World Statistics Congress, 16-21 July, Marrakech, Kingdom of Morocco.

LACHAUD A., GROZAVU N., MATEI B., BENNANI Y. (2017), «Collaborative Clustering between Different Topological Partitions», IEEE International Joint Conference on Neural Network (IEEE IJCNN), Anchorage, Alaska, USA, May 14-19, 2017.

FALIH I., GROZAVU N., KANAWATI R., BENNANI Y. (2017), « Multiplex Network Clustering based Collaborative Filtering », in  Proc. ISI'17 : 61st International Statistical Institute World Statistics Congress, 16-21 July, Marrakech, Kingdom of Morocco.

BENYETTOU A., BENNANI Y., BENYETTOU A., BENDAHMANE A., CABANES G. (2017), « Semi-Supervised Multi-Label Classification Through Topological Active Learning », in International Journal on Communications Antenna and Propagation (IRECAP), Praise Worthy Prize, Vol. 7, N° 3, pp. 222-232, ISSN: 2039-5086, DOI: https://doi.org/10.15866/irecap.v7i3.12742.

ROGOVSCHI N., GROZAVU N., BENNANI Y., OZAWA S. (2017), « t-Distributed Stochastic Neighbor Embedding based Self Organizing Maps », in  Proc. ISI'17 : 61st International Statistical Institute World Statistics Congress, 16-21 July, Marrakech, Kingdom of Morocco.

CABANES G., BENNANI Y., VERDE R., IRPINO A. (2017), « Clustering of Histogram Data: A Topological Learning Approach », in  Proc. SIS'17 : 61st Statistical Conference, Statistics and Data Science: new challenges, new generations, 28-30 June, Florence, Italy.

GANCARSKI P., CORNUEJOLS A., WEMMERT C., BENNANI Y., (2017), «Clustering collaboratif : Principes et mise en oeuvre»,in  Proc. BDA'17, 33ème conférence sur la Gestion de Données - Principes, Technologies et Applications, Nancy 14-17 novembre 2017.

FALIH I., GROZAVU N., KANAWATI R., BENNANI Y. (2017), « ANCA: Attributed Network Clustering Algorithm », in  Proc. Complex Networks'17, The 6th International Conference on Complex Networks and Their Applications, November 29 - December 01 2017, Lyon, France.

2016

REDKO I., BENNANI Y.  (2016), «Non-negative Embedding for Fully Unsupervised Domain Adaptation»,  Vol. 77, 1 July 2016, Pages 35–4, in Pattern Recognition Letters Journal, Elsevier 2016.

SUBLIME J., GROZAVU N., CABANES G., BENNANI Y., CORNUEJOLS A. (2016), «From Horizontal to Vertical Collaborative Clustering using Generative Topographic Maps», Invited paper in International Journal of Hybrid Intelligent Systems (IJHIS), Advanced Knowledge International, IOS Press, STM Publishing House, 2016.

REDKO I., BENNANI Y. (2016), «Analyse de la sparsité des facteurs appris par la NMF multicouches», in Proc.  AAFD&SFC'16: Conférence Internationale Francophone sur la Science des Données 2016, 22-26 mai 2016, Marrakech, Kingdom of Morocco.

COHEN R., MATEI B., BENNANI Y. (2016), «Ensemble d'échantillonnage stable pour la reconstruction exacte des images», in  Proc. AAFD&SFC'16: Conférence Internationale Francophone sur la Science des Données 2016, 22-26 mai 2016, Marrakech, Kingdom of Morocco.

SUBLIME J., GROZAVU N., CABANES G., BENNANI Y., CORNUEJOLS A. (2016), «Collaborative learning using topographic maps», in  Proc. AAFD&SFC'16: Conférence Internationale Francophone sur la Science des Données 2016, 22-26 mai 2016, Marrakech, Kingdom of Morocco.

CHAHDI H., GROZAVU N., MOUGENOT I., BERTI-EQUILLE L., BENNANI Y. (2016), «Approche hybride à base d'ontologie pour le clustering par contraintes», in  Proc. AAFD&SFC'16: Conférence Internationale Francophone sur la Science des Données 2016, 22-26 mai 2016, Marrakech, Kingdom of Morocco.

FALIH I., GROZAVU N., KANAWATI R., BENNANI Y. (2016), «Clustering dans les graphes attribués», in  Proc. AAFD&SFC'16: Conférence Internationale Francophone sur la Science des Données 2016, 22-26 mai 2016, Marrakech, Kingdom of Morocco.

REDKO I., MATEI B., BENNANI Y. (2016), «Nonlinear Hierarchical Nonnegative Matrix Factorization», in  H2DM'16: International Workshop on High Dimensional Data Mining 2016, 7 Jun 2016 Naples, Italy.

BENNANI Y., REDKO I. (2016), «Nonnegative Matrix Factorization for Transfer Learning», SIS 2016 - 48th Scientific Meeting Of The Italian Statistical Society, Università degli Studi di Salerno, Italy, June 8th – June 10th.

CABANES G., BENNANI Y., IRPINO A., VERDE R. (2016), «A two-level clustering for histogram data», in  H2DM'16: International Workshop on High Dimensional Data Mining 2016, 7 Jun 2016 Naples, Italy.

CHAHDI H., GROZAVU N., MOUGENOT I., BERTI-EQUILLE L., BENNANI Y. (2016), «Génération de contraintes pour le clustering à partir d'une ontologie-Application à la classification d'images satellites», in  Proc. EGC'16: Conférence Internationale Francophone sur l'Extraction et Gestion des Connaissances 2016, 18-22 janvier 2016, Reims, France.
 
REDKO I., BENNANI Y. (2016), «Décomposition en facteurs non négatifs pour l'adaptation de domaine non supervisée», Conférence Francophone sur l’Apprentissage Automatique (CAP'16), Marseille du 4 au 7 juillet.

FALIH I., GROZAVU N., KANAWATI R., BENNANI Y. (2016), «Attributed network clustering based recommendation approach», in  Proc. MARAMI/JFGG’2016 12-14 October 2016 Cergy.

JAZIRI R., CHAMROUKHI F., LEBBAH M., BENNANI Y. (2016), «GTM Mixture Through Time for Sequential Data», IEEE World Congress on Computational Intelligence, IEEE International Joint Conference on Neural Network (IEEE IJCNN), Vancouver, Canada, July 24-29, 2016.

CHAHDI H., GROZAVU N., MOUGENOT I., BERTI-EQUILLE L., BENNANI Y. (2016), «On the Use of Ontology as a priori Knowledge into Constrained Clustering», in IEEE DSAA'16, 3rd IEEE International Conference on Data Science and Advanced Analytics, Montreal, Canada, October 17-19, 2016.

SUBLIME J., CORNUEJOLS A., BENNANI Y. (2016), «Collaborative-based multi-scale clustering in very high resolution satellite Images», in Lecture Notes in Computer Science, LNCS Springer, Proc of ICONIP'16 : 23rd International Conference on Neural Information Processing, Kyoto, Japan, 16-21 October 2016.

CHAHDI H., GROZAVU N., MOUGENOT I., BENNANI Y., BERTI-EQUILLE L. (2016), «Towards Ontology Reasoning for Self-Organizing Maps Labeling», in Lecture Notes in Computer Science, LNCS Springer, Proc of ICONIP'16 : 23rd International Conference on Neural Information Processing, Kyoto, Japan, 16-21 October 2016.

REDKO I., BENNANI Y. (2016), «Kernel Alignment for Unsupervised Transfer Learning», in ICPR'16: 23rd International Conference on Pattern Recognition, 4-8 December 2016, Cancun, Mexico.

BENNANI Y. (2016), « Deep Learning & Data Science », Support pédagogique de l’Ecole Thématique d’Automne, 19-22 décembre 2016 - Fès, Kingdom of Morocco.

BENNANI Y. (2016), « Science des données : défis mathématiques et algorithmiques », Actes de la Conférence Internationale Francophone AAFD&SFC, 22-26 mai 2016 Marrakech, Kingdom of Morocco.

BENNANI Y., VIENNET E. (2016), « Apprentissage Artificiel et Fouille de Données », N° special A8 – Revue des Nouvelles Technologies de l'Information (RNTI), Editions Cépaduès. ISBN: 979-10-962889-02-8.

2015

SUBLIME J., GROZAVU N., BENNANI Y., CORNUEJOLS A. (2015), «Vertical Collaborative Clustering using Generative Topographic Maps», IEEE International Conference on Soft Computing and Pattern Recognition (IEEE SoCPaR), Fukuoka, Japan, November 13-15, 2015.

REDKO I., BENNANI Y. (2015), «Sparsity Analysis of Learned Factors in Multilayer NMF», IEEE International Joint Conference on Neural Network (IEEE IJCNN), Killarney Convention Center in Killarney, Ireland on July 12 - 17, 2015.

GHASSANY M., BENNANI Y. (2015), «Collaborative Fuzzy Clustering of Variational Bayesian Generative Topographic Mapping», in IJCIA, International Journal of Computational Intelligence and Applications, Vol. 14, No. 1, 1550001, Imperial College Press, DOI: 10.1142/S1469026815500017.

SUBLIME J., GROZAVU N., BENNANI Y., CORNUEJOLS A. (2015), «Collaborative Clustering with Heterogeneous Algorithms», IEEE International Joint Conference on Neural Network (IEEE IJCNN), Killarney Convention Center in Killarney, Ireland on July 12 - 17, 2015.

SUBLIME J., TROYA-GALVIS A., BENNANI Y., CORNUEJOLS A., GANCARSKI P. (2015), «Semantic Rich ICM Algorithm for VHR Satellite Images Segmentation», International Association for Pattern Recognition (IAPR), International Conference on Machine Vision Applications, Tokyo, Japan,  May 18 - 22, 2015.

FALIH I., GROZAVU N., KANAWATI R., BENNANI Y. (2015), «A Recommendation System Based on Topological Learning», in Lecture Notes in Computer Science, LNCS Springer, Proc of ICONIP'15 : 22th International Conference on Neural Information Processing, Istanbul, Turkey, 09-12 November 2015.

MATEI B., BENNANI Y. (2015), «Pruned Simple Model Sets For Fast Exact Recovery of Image», HDM@ICDM, IEEE International Conference on Data Mining, Atlantic City, NJ, USA / November 14-17, 2015.

LEBBAH M., JAZIRI R., BENNANI Y., CHENOT J.H. (2015), «Probabilistic Self-Organizing Map for Clustering and Visualizing non-i.i.d Data», in IJCIA, International Journal of Computational Intelligence and Applications, Vol. 14, No. 02 (29 pages). Imperial College Press, DOI: 10.1142/S1469026815500078.

RASTIN P., CABANES G., GROZAVU N., BENNANI Y. (2015), «Collaborative Clustering: How to Select the Optimal Collaborators?», IEEE International Conference on Computational Intelligence and Data Mining, 7–10 December 2015, Cape Town, South Africa.

CABANES G., BENNANI Y., VERDE R., IRPINO A. (2015), «A Topological Clustering Method for Histogram Data», Proceeding of the 5th Workshop on Symbolic Data Analysis, (SDA'15), Orléans, France, 17-19 November 2015.

2014

REDKO I., BENNANI Y. (2014), «Non-negative Matrix Factorization with Schatten p-norms Reguralization», in Lecture Notes in Computer Science, LNCS Springer, Proc of ICONIP'14 : 21th International Conference on Neural Information Processing, Kuching, Sarawak, Malaysia, 03-06 November 2014.

SUBLIME J., CORNUEJOLS A., BENNANI Y. (2014), «A New Energy Model for the Hidden Markov Random Fields», in Lecture Notes in Computer Science, LNCS Springer, Proc of ICONIP'14 : 21th International Conference on Neural Information Processing, Kuching, Sarawak, Malaysia, 03-06 November 2014.

REDKO I., BENNANI Y. (2014), «Unsupervised Transfer Learning through Bridge Convex Non-negative Matrix Factorization», AutoML@ICML, International Conference on Machine Learning (ICML), Beijing, China, June 21-26, 2014.

REDKO I., BENNANI Y. (2014), «Random Subspaces NMF for unsupervised Transfer Learning», IEEE World Congress on Computational Intelligence, IEEE International Joint Conference on Neural Network (IEEE IJCNN), Beijing, China, July 6-11, 2014.

REDKO I., BENNANI Y. (2014), «Controlling Orthogonality Constraints for Better NMF Clustering», IEEE World Congress on Computational Intelligence, IEEE International Joint Conference on Neural Network (IEEE IJCNN), Beijing, China, July 6-11, 2014.

GROZAVU N., CABANES G., BENNANI Y. (2014), «Diversity Analysis in Collaborative Clustering», IEEE World Congress on Computational Intelligence, IEEE International Joint Conference on Neural Network (IEEE IJCNN), Beijing, China, July 6-11, 2014.

2013

CABANES G., BENNANI Y., DESTENAY R., HARDY A. (2013), «A new topological clustering algorithm for interval data», Pattern Recognition, The Journal of the Pattern Recognition Society, Elsevier.

GHASSANY M., GROZAVU N., BENNANI Y. (2013), «Collaborative Multi-View Clustering», in Proc. IJCNN, IEEE International Joint Conference on Neural Network, Dallas, TX- August 4-9, 2013.

GROZAVU N., BENNANI Y. (2013), «Structural memory based under-sampling for imbalanced distributions», in Proc. ECDA, European Conference on Data Analysis, July 10 - 12, 2013 in Luxembourg.

CABANES G., BENNANI Y., GROZAVU N. (2013), «Unsupervised Learning for Analyzing the Dynamic Behavior of Online Banking Fraud», IClaNov@ICDM, IEEE International Conference on Data Mining, Dallas, Texas / December 7-10, 2013.

2012

CABANES G., BENNANI Y., FRESNEAU D. (2012), «Enriched topological learning for cluster detection and visualization», Invited paper in a special issue of the International Journal Neural Networks dedicated to 8% of the IJCNN'11 papers. Vol. 32, pp. 186-195, Elsevier Science Ltd. Oxford, DOI: 10.1016/j.neunet.2012.02.019.

GHASSANY M., GROZAVU N.,  BENNANI Y. (2012), «Collaborative Clustering Using Prototype Based Techniques», in IJCIA, International Journal of Computational Intelligence and Applications, Vol. 11, No. 3, 1250017, Imperial College Press, DOI: 10.1142/S1469026812500174.

GHASSANY M., GROZAVU N.,  BENNANI Y. (2012), «Collaborative Generative Topographic Mapping», in Lecture Notes in Computer Science, LNCS Springer, Proc of ICONIP'12 : 19th International Conference on Neural Information Processing, 12-15 November, 2012, Doha, Qatar.

CABANES G., BENNANI Y. (2012), «Change detection in data streams through unsupervised learning», in Proc. IJCNN, IEEE International Joint Conference on Neural Network, pp. 2659-2664, Brisbane- Australia - June 10-15, 2012.

GROZAVU N., BENNANI Y., LABIOD L. (2012), «Feature space transformation for transfer learning», in Proc. IJCNN, IEEE International Joint Conference on Neural Network, pp. 2637-2642, Brisbane- Australia - June 10-15, 2012.

2011

GROZAVU N.,  BENNANI Y. (2011), «Simultaneous pattern and variable weighting during topological clustering», in Lecture Notes in Computer Science, LNCS Springer, Proc of ICONIP'11 : 18th International Conference on Neural Information Processing, Nov 14-17, 2011, Shanghai, China.

CABANES G.,  BENNANI Y., FRESNEAU D. (2011), «A new simultaneous two-levels bi-clustering algorithm for behavioural data-mining», in Lecture Notes in Computer Science, LNCS Springer, Proc of  ICONIP'11 : 18th International Conference on Neural Information Processing, Nov 14-17, 2011, Shanghai, China.

HAMDI F., BENNANI Y. (2011), «Learning Random Subspace Novelty Detection Filters», in Proc. IJCNN, IEEE International Joint Conference on Neural Network, San Jose, California-July 31 - August 5, 2011.

CABANES G., BENNANI Y. (2011), «Coupling Clustering and Visualization for Knowledge Discovery from Data», in Proc. IJCNN, IEEE International Joint Conference on Neural Network, San Jose, California-July 31 - August 5, 2011.

GROZAVU N., GHASSANY M., BENNANI Y. (2011), «Learning Confidence Exchange in Collaborative Clustering», in Proc. IJCNN, IEEE International Joint Conference on Neural Network, San Jose, California-July 31 - August 5, 2011.

JAZIRI R, LEBBAH M., ROGOVSCHI N.,  BENNANI Y (2011).  «Probabilistic  Self-Organizing Maps for Multivariate Sequences», in Proc. IJCNN, IEEE International Joint Conference on Neural Network, San Jose, California-July 31 - August 5, 2011.

JAZIRI R., LEBBAH M., BENNANI Y.,  CHENOT J.H. (2011),  «SOS-HMM: Self-Organizing Structure of Hidden Markov Model», in Proc. of the ICANN, International Conference on Artificial Neural Networks, June 14-17th, 2011, Espoo, Finland.

LABIOD L., BENNANI Y. (2011), «A Spectral Based Clustering Algorithm for Categorical Data with Maximum Modularity»,  in Proc. of the ESANN, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges (Belgium) 27 - 29 April 2011.

KRIEF F., BENNANI Y., GOMES D., NEUMAN de SOUZA (2011), «LECSOM: A Low-Energy Routing Algorithm based on SOM Clustering for Static and Mobile Wireless Sensor Networks»,  in IRECAP  International Journal on Communications Antenna and Propagation , ISSN: 2039 - 5086, Praise Worthy Prize Publishing House. Invited paper.

LABIOD L., GROZAVU N.,  BENNANI Y. (2011), «Simultaneous Topological Categorical Data Clustering and Cluster Characterization», in IJC, International  Journal  of  Computing, ISSN 1727-6209.

ROGOVSCHI N., LEBBAH M., BENNANI Y. (2011), «A Self-Organizing Map for Mixed Continuous and Categorical Data», in IJC, International  Journal  of  Computing, ISSN 1727-6209.

2010

CABANES G.,  BENNANI Y. (2010), «Unsupervised topographic learning for spatio-temporal data mining», in IJAAI,  International Journal of Advances in Artificial Intelligence, Special issue "Machine Learning Paradigms for Modeling Spatial and Temporal Information in Multimedia Data Mining", ISSN: 1687-7470 -EISSN:1687-7489, New York, NY 10022-USA, Invited paper.

LABIOD L., GROZAVU N.,  BENNANI Y. (2010), «Relational Topological Map», in IJCIA, International Journal of Computational Intelligence and Applications, World Scientific Publishing Company.

GROZAVU N., BENNANI Y., LEBBAH M. (2010),  «Cluster-dependent features selection through a weighting learning paradigm», in «Advances In Knowledge Discovery and Management », F. Guillet, G. Ritschard, D. Zighed and H. Briand (eds), Vol. 292, pp. 133-147, Springer. ISBN: 978-3-642-00579-4, DOI: 10.1007/978-3-642-00580-0. Invited paper.

CABANES G.,  BENNANI Y. (2010), «Learning topological constraints in Self-Organizing Map», in Lecture Notes in Computer Science, LNCS Springer, Proc of  ICONIP'10 : 17th International Conference on Neural Information Processing, 22nd – 25th November 2010 in Sydney, Australia.

GROZAVU N.,  BENNANI Y. (2010), «Topological Collaborative Clustering», in Australian Journal of Intelligent Information Processing Systems (AJIIPS), 12(3), 2010. Machine Learning Applications (Part I).

CABANES G., BENNANI Y., FRESNEAU D. (2010),  «Mining RFID Behavior Data using Unsupervised Learning», International Journal of Applied Logistics (IJAL), 1(1):28-47, ISSN: 1947-9573-EISSN: 1947-9581.

GROZAVU N.,  LABIOD L.,  BENNANI Y. (2010), «Autonomous cluster characterization for categorical data», in Proc. ICMLA'10, IEEE International Conference on Machine Learning and Applications, Washington D.C., USA on December 12-14, 2010-USA.

LABIOD L., GROZAVU N.,  BENNANI Y. (2010), «Relationship between the modularity criterion and the relational analysis», in Proc. ICMIA'10 : IEEE International Conference on Data Mining and Intelligent Information Technology Applications, November 30 - December 2 , 2010, Seoul, Korea.

LABIOD L., GROZAVU N.,  BENNANI Y. (2010), «Clustering Categorical Data Using an Extended Modularity Measure», in Lecture Notes in Computer Science, LNCS Springer, Proc of ICONIP'10 : 17th International Conference on Neural Information Processing, 22nd – 25th November 2010 in Sydney, Australia.

LABIOD L., GROZAVU N.,  BENNANI Y. (2010), «Topological Organization for Categorical Data Clustering», in Proc. ICNNAI'10, International Conference on Neural Network and Artificial Intelligence, 1-4 June 2010 in Brest, Belarus.

GROZAVU N.,  LABIOD L., BENNANI Y. (2010), «Dimensionality reduction for binary data», in Proc. ICNNAI'10, International Conference on Neural Network and Artificial Intelligence, 1-4 June 2010 in Brest, Belarus.

ROGOVSCHI N., LEBBAH M., BENNANI Y. (2010), «A weighted Self-Organizing Map for mixed continuous and categorical data», in Proc. ICNNAI'10, International Conference on Neural Network and Artificial Intelligence, 1-4 June 2010 in Brest, Belarus.

LABIOD L., GROZAVU N.,  BENNANI Y. (2010), «Relational Topological Clustering», in Proc. IJCNN‘10, IEEE International Joint Conference on Neural Network, 18-23 July 2010, Barcelona, Spain.

HAMDI F., LEBBAH M., BENNANI Y. (2010),  «Topographic Under-Sampling for Unbalanced Distributions», in Proc. IJCNN‘10, IEEE International Joint Conference on Neural Network, 18-23 July 2010, Barcelona, Spain.

ROGOVSCHI N., LEBBAH M., BENNANI Y. (2010),  «Learning Self-Organizing Mixture Markov Models», in Journal of Nonlinear Systems and Applications (JNSA), ISSN 1918-3704, Published by watam press, Canada.

2009

GROZAVU N., BENNANI Y. (2009),  «A new competitive strategy for Self Organizing Map Learning», Proceedings of the (ICMLA'09), IEEE International Conference on Machine Learning and Applications, 13-15 Dec. 2009, Miami Beach, Florida, USA.

CABANES G., BENNANI Y., DUFAU-JOËL F. (2009),  «Mining Customers' Spatio-temporal Behavior Data using Topographic Unsupervised Learning», Proceedings of the (ICMLA'09), IEEE International Conference on Machine Learning and Applications, 13-15 Dec. 2009, Miami Beach, Florida, USA.

CABANES G., BENNANI Y. (2009),  «Comparing Large Datasets Structures Through Unsupervised Learning», in Lecture Notes in Computer Science, LNCS Springer, Proc of ICONIP'09 : 16th International Conference on Neural Information Processing, Bangkok, Thailand, December 1-5, 2009. Best Student Paper Award.

ASEERVATHAM S., BENNANI Y. (2009),  «A Semantic Tree Representation for Document Categorization with a Composite Kernel», Invited Book Chapter,  in “Data Management in Semantic Web” by  NOVA Publishers.

LEBBAH M., BENNANI Y., ROGOVSCHI N. (2009),  «Learning Self-Organizing Maps as a Mixture Markov Models», in Proc. of the ICCSA'09, The 3rd International Conference on Complex Systems and Applications, Le Havre, Normandy, France, June 29 - July 02, 2009.

CABANES G., BENNANI Y. (2009),  «Learning the number of clusters in Self Organizing Map», Invited Book Chapter, in Self-Organizing Maps, ISBN 978-953-7619-X-X, IN-TECH Publisher.

LEBBAH M., BENNANI Y., GROZAVU N., BENHADDA H. (2009), «Relational Analysis for Clustering Consensus», Invited Book Chapter, in Machine Learning, ISBN 978-953-7619-X-X, IN-TECH Publisher.

ASEERVATHAM S., BENNANI Y. (2009),  «Semi-Structured Document Categorization with a Semantic Kernel»,  Pattern Recognition, (42)9:2067-2076, The Journal of the Pattern Recognition Society, Elsevier.

GROZAVU N., BENNANI Y., LEBBAH M. (2009),  «From variable weighting to cluster characterization in topographic unsupervised learning», Proc. IJCNN ‘09, IEEE International Joint Conference on Neural Network, 14-19 June 2009, Atlanta, Georgia.

RECANATI C. , ROGOVSCHI N., BENNANI Y., (2009), « Hybrid Unsupervised Learning to Uncover Discourse Structure », Responding to Information Society Challenges: New Advances in Human Language Technologies, Zygmunt Vetulani et Hans Uszkoreit (eds), LNAI vol 5603, pp. 258-269.

2008

LEBBAH M., BENNANI Y., ROGOVSCHI N. (2008), «A Probabilistic Self-Organizing Map for Binary Data Topographic Clustering», IJCIA, International Journal of Computational Intelligence and Applications,  Vol 7 No. 4, pp. 363-383, World Scientific Publishing Company.

ROGOVSCHI N., LEBBAH M., BENNANI Y.(2008), «Probabilistic Mixed Topological Map for Categorical and Continuous Data», Proceedings of the (ICMLA'08), IEEE International Conference on Machine Learning and Applications, 11-13 Dec. 2008 - San Diego, California, USA.

LEBBAH M., BENNANI Y., BENHADDA H. (2008), «Relational Analysis for Consensus Clustering from Multiple Partitions», Proceedings of the (ICMLA'08), IEEE International Conference on Machine Learning and Applications, 11-13 Dec. 2008 - San Diego, California, USA.

CABANES G., BENNANI Y. (2008),  «A Local Density-Based Simultaneous Two-Level Algorithm for Topographic Clustering», IJCNN ‘08, IEEE International Joint Conference on Neural Network, 1-6 June 2008, Hong Kong.

CABANES G., BENNANI Y.,  CHARTAGNAT C., FRESNEAU D. (2008),  «Topographic Connectionist Unsupervised Learning for RFID Behavior Data Mining», The 2nd International Workshop on RFID Technology - Concepts, Applications, Challenges (IWRT 2008), In conjunction with the 10th International Conference on Enterprise Information Systems (ICEIS 2008), 12-13 June 2008, Barcelona, Spain.

CABANES G., CHARTAGNAT C., DEVIENNE P. DURAND J.L. FRESNEAU D., BENNANI Y. (2008),  «Connectionist Learning for RFID Data Mining Applied to Ants Spatio-temporal Behaviour », International Workshop BEHAVIOUR – COGNITION - WELFARE, May 15-16 2008, Villetaneuse.

2007

GOMES D.G., AGOULMINE N., BENNANI Y., DE SOUZA J.N. (2007), « Predictive Connectionist Approach for VoD Bandwidth Management », IJCC, International Journal for Computer Communications.

CABANES G., BENNANI Y. (2007),  «A Simultaneous Two-Level Clustering Algorithm for Automatic Model Selection», Proceedings of the (ICMLA'07), IEEE International Conference on Machine Learning and Applications, 13-15 Dec. 2007, Cincinnati, Ohio, USA.

ASEERVATHAM S., VIENNET E.,, BENNANI Y. (2007),  «A Semantic Kernel for Semi-Structured Document», Proceedings of the ICDM'07, IEEE International Conference on Data Mining, October 28-31, 2007, Omaha NE, USA.

AZZAG H., BENNANI Y., LEBBAH M. (2007),  «A Stochastic algorithm for clustering inspired from cockroaches behavior», Proceedings of the ICMCS'07, September 19-21, 2007, Chisinau, Moldavie.

GROZAVU N., BENNANI Y., GUERIF S. (2007),  «Towards a dimensionality reduction through unsupervised learning and local variable weighting», Proceedings of the ICMCS'07, September 19-21, 2007, Chisinau, Moldavie.

RECANATI C. , ROGOVSCHI N., BENNANI Y. (2007), «The structure of verbal sequences analyzed with unsupervised learning techniques », Proceedings of the 3rd LTC'07, Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics - October 5-7, 2007, Poznań, Poland (Selected among the best papers of LTC'07).

RECANATI C. , ROGOVSCHI N., BENNANI Y., (2007), «Sequencing of verbs – a study on tense and aspect using methods of unsupervised learning», Proceedings of RANLP'07, International Conference Recent Advances in Natural Language Processing, September 27-29, 2007, Borovets, Bulgaria.

GUERIF S., BENNANI Y. (2007),  «Dimensionality Reduction Through Unsupervised Features Selection», EANN'07, International Conference on Engineering Applications of Neural Networks, 29-31 August-Thessaloniki, Hellas.

LEBBAH M., ROGOVSCHI N., BENNANI Y. (2007), « BeSOM : Bernoulli on Self-Organizing Map», IJCNN ‘07, IEEE International Joint Conference on Neural Network, Orlando, Florida.

2006

BENNANI Y. (2006) , « Apprentissage Connexionniste », Editions Hermès Science (370 p.). ISBN: 2-7462-1337-0.

BENNANI Y. (2006) , « Séparateurs connexionnistes linéaires », Chapitre dans “Apprentissage Connexionniste”, pp. 21-46. Editions Hermès Science.

BENNANI Y. (2006) , « Réseaux à dictionnaires : Learning Vector Quantization »
Chapitre dans “Apprentissage Connexionniste”, pp. 123-140. Editions Hermès Science.

BENNANI Y. (2006) , « Outils de simulation des systèmes connexionnistes»
Chapitre dans “Apprentissage Connexionniste”, pp. 343-358. Editions Hermès Science.

BENNANI Y. (2006) , « Réseaux de neurones artificiels »
Chapitre dans « Encyclopédie de l'informatique et systèmes d'information », Section Intelligence Artificielle, (sous la direction de J. Akoka et I. Wattiau), Editions Vuibert,  ISBN: 978-2-7117-4846-4.

GUERIF S. & BENNANI Y. (2006) : «Selection of Clusters Number and Features Subset during a Two-Levels Clustering Task», The 10th  International Conference on Artificial Intelligence and Soft Computing (ASC'06), International Association of Science and Technology for Development (IASTED), August 28-30, 2006, Palma de Mallorca, Spain.

BENABDESLEM K. & BENNANI Y. (2006), “Dendrogram-Based SVM for Multi-Class Classification”, International Journal of Computing and Information Technology, ISSN: 1330-1136, (14)4 :288-291.

GUERIF S., BENNANI Y. BAUDOIN C. (2006) : «Connectionist and Ethological Approaches for Discovering Salient Facial Movement Features in Human Gender Recognition », 28th International Conference Information Technology Interfaces  ITI 2006, pp189 - 194. June 19-22, 2006, Cavtat / Dubrovnik, Croatia.
 
JRAD Z., KRIEF F., DEHNI L., BENNANI Y. (2006) : « Artificial Intelligence Techniques in the Dynamic Negotiation of QoS: A User Interface for the Internet New Generation », First International IFIP TC6 Conference, Autonomic Networking’06, Paris, France, September 27-29, 2006. ISSN 0302-9743, Vol. 4195/2006, pp 146-158, Publisher Springer Berlin/Heidelberg.

2005

ZEHRAOUI F. & BENNANI Y. (2005) : «New self-organising maps for multivariate sequences processing», International Journal of Computational Intelligence and Applications, World Scientific Publishing Company, Vol. 5, No 4, 439-456.

DEHNI  L., BENNANI Y., KRIEF F. (2005) : « Une approche neuronale adaptative de routage minimisant la consommation d'énergie dans les réseaux de capteurs», 28/2-3/3, colloque GRES 2005: Gestion de REseaux et de Services,  LUCHON.

DEHNI  L., KRIEF F., BENNANI Y. (2005) : « Power Control and Clustering in Wireless Sensor Networks », Proceedings of Med-Hoc-Net 2005 : Mediterranean Ad Hoc Networking Workshop. June 21-24, 2005, Ile de Porquerolles ,  - France.

DEHNI  L., BENNANI Y., KRIEF F. (2005) : «Low Energy Adaptive Connectionist Clustering for Wireless  Sensor Networks », Proceedings of IEEE/IFIP MATA 2005 : 2nd International Workshop on Mobility Aware Technologies and Applications, October 17-19, 2005, Montréal , Canada. Volume 3744/2005 of LNCS, pages 405-415 . Springer-Verlag GmbH, 2005. ISBN: 3-540-29410-4.

GUERIF S., BENNANI Y., JANVIER E. (2005) : «μ-SOM : Weighting features during clustering», WSOM'05, International Workshop On Self-Organizing Maps, September 5-8, Paris.

2004

ZEHRAOUI F. & BENNANI Y. (2004) : "M-SOM-ART: Growing Self Organizing Map for sequence clustering and classification", ECAI ‘04, European Conference on Artificial Intelligence, Valencia, Spain.

ZEHRAOUI F. & BENNANI Y. (2004) : "M-SOM: Matricial Self Organizing Map for sequences clustering and classification", IJCNN ‘04, IEEE International Joint Conference on Neural Network, 25-29 July 2004, Budapest – Hungary.

BENABDESLEM K. & BENNANI Y. (2004) : "An incremental SOM for web navigation patterns clustering ", 26th International Conference on INFORMATION TECHNOLOGY INTERFACES ITI ‘04, Cavtat / Dubrovnik, Croatia, June 7-10, 2004.

2003

ZEBOULON A., BENNANI Y., BENABDESLEM K. (2003) : "Hybrid Connectionist Approach for Knowledge Discovery from Web Navigation Patterns", ACS/IEEE International Conference on Computer Systems and Applications, July 14-18, Tunisia.

ZEBOULON A.,  BENNANI Y., BENABDESLEM K. (2003) : “Classification et reconnaissance de séquences de navigations par SOM et modèle de mélanges ”,  RT N°3, Contrat de recherche Maxeem-NumSight, juin.

BENNANI Y., BENABDESLEM K. (2003) : “Visualisation des traces de navigation par apprentissage non-supervisé ”, RT N°2, Contrat de recherche Maxeem-NumSight, mars.

BENNANI Y., BENABDESLEM K. (2003) : “Codage et compression de données issues d’Internet ”, RT N°1, Contrat de recherche Maxeem-NumSight, janvier.

2002

JANVIER E., BENABDESLEM K., BENNANI Y. (2002), “Method for processing Internet Request files”, Brevet International, [N° de publication : WO 02/059781, date de publication : 01/08/2002]
  
CAKMAKOV D. & BENNANI Y. (2002) , “Feature Selection for Pattern Recognition”, Informa Press, Ed. ISBN 9989-943-02-8.

CAKMAKOV D., RADEVSKI V., BENNANI Y., GORGEVIK D. (2002), “Decision Fusion and Reliability Control in Handwritten Digit Recognition System”, International Journal of Computing and Information Technology (10)4: 283-293.

BENNANI Y., BOURGEOIS L., DAGUE P., JOLOBOFF V, MADHUSUDAN G., MATEOS M., ROBIN P., SAUVAGE S. (2002) : « Environment for evolutionary automotive diagnosis », Convergence 02, Detroit, 21-23 October.

BENABDESLEM K., BENNANI Y., JANVIER E. (2002) : " Visualization and Analysis of Web Navigation Data", International Conference on Artificial Neural Networks ICANN '02, 27-30 Août, pp. 486-491, Madrid, Espagne.

2001

BENNANI Y. (2001),“Systèmes d’Apprentissage Connexionnistes”, Numéro spécial de RIA, Vol. 15 - N° 3-4/2001, Editions Hermès. ISBN 2-7462-0361-8.

BENNANI Y. & BOSSAERT F. (2001),“Modular Connectionist Modelling and Classification Approaches for Local Diagnosis in Telecommunication Traffic Management”, International Journal of Computational Intelligence and Applications, World Scientific Publishing Company.

BENNANI Y. (2001),“La sélection de variables dans les systèmes d’apprentissage connexionnistes“, Revue d’Intelligence Artificielle, 15(3-4):303-316, Hermès 2001.

YACOUB M. & BENNANI Y. (2001),“Une mesure de pertinence pour la sélection de variables dans les Perceptrons Multicouches”, Revue d’Intelligence Artificielle, 15(3-4):393-410, Hermès 2001.

RADEVSKI V., BENNANI Y., CAKMAKOV D. (2001),“Feature Selection and Fusion in Handwritten Digit Recognition System”, Revue d’Intelligence Artificielle, 15(3-4):429-445, Hermès 2001.

BENABDESLEM K., BENNANI Y., JANVIER E. (2001), "Connectionist Approach for Website visitors Behaviors Mining", ACS/IEEE International Conference on Computer Systems and Applications, 26-29 June 2001, Beirut, Lebanon.

2000

YACOUB M. & BENNANI Y. (2000),“Features Selection and Architecture Optimization in Connectionist Systems”, International Journal of Neural Systems, 10(5):379-395, World Scientific Publishing Company.

RADEVSKI V. & BENNANI Y. (2000),“Reliability Control in Committee Classifier Environment”, International Joint Conference on Neural Networks, pp. 561-565 vol.3, Como, ITALY, 24-27 July, IJCNN ’00.

CAKMAKOV D., RADEVSKI V., BENNANI Y. (2000),“A Reliability Improvement of Neural Network Based OCR Using Rules and Comittee Classifiers” ,  22nd International Conference on Information Technology Interfaces, ICITI '00, Pula Croatia, june 13-16.

YACOUB M. & BENNANI Y. (2000),“Salient Facial Features Detection and Selection Through a Connectionist Approach”, 6th International Conference on "Content-Based Multimedia Information Access", RIAO '00, 12-14 Avril, College de France, Paris.

RADEVSKI V., CAKMAKOV D., BENNANI Y. (2000),“Experiments in Handwritten Digit Recognition Using Committees of Neural Network Classifiers”, IEEE Workshop on “Neural Networks for Signal Processing”, Sydney, Australia, 11-13 december.

1999

YACOUB M. & BENNANI Y. (1999),“Détection et Sélection d’Informations Pertinentes”, The annals of the Stefan Cel Mare, ISSN 1222-4316, N° 11, Faculty of Electrical Engineering, University of Suceava 1999.

BENNANI Y. (1999),“Adaptive weighting  of pattern features during learning” , International Joint Conference on Neural Networks, IEEE - IJCNN ’99.

YACOUB M. & BENNANI Y. (1999),“Discriminative Feature Extraction and Selection applied to face recognition”, International Joint Conference on Neural Networks, IEEE - IJCNN ’99.

1998

NEDJARI T. & BENNANI Y. (1998), “Symbolic-Connectionist Interaction”, Second International Conference on Cognitive and Neural Systems, ICCNS'98, Boston, MA, USA.

NEDJARI T. & BENNANI Y. (1998), “A Hybrid System for Symbolic-Connectionist Interaction”,  International Symposium on Neural Computation, ISNC '98, Vienna, Austria.

YACOUB M. & BENNANI Y. (1998),“Architecture Optimisation in Feedforward Connectionist Models”, International Conference on Artificial Neural Networks,  ICANN ’98.

YACOUB M. & BENNANI Y. (1998),“A Neural Network Methodology for Machines’ Class Identification”, International Joint Conference on Neural Networks, IEEE  - IJCNN ’98.

RADEVSKI V., BENNANI Y. (1998),“A Higher Recognition Reliability Through Combining Classifiers” , International Conference on Electronics, Telecomunications, Computers, Automation and Nuclear Engineering, june 1998, Vrnjacka Banja Yugoslavia.

BENNANI Y. & BOSSAERT F. (1998),“Alarm Generation in Telephone Network Using Multivariate Neural Networks Modelling and Joint Confidence Interval”, Ninth International Workshop on "Principles of Diagnosis", DX’98, May 24-27, Massachusetts, USA.

BENNANI Y. (1998),“Contributions au Contrôle de la Capacité de Généralisation des Systèmes d’Apprentissage Connexionnistes”,
Thèse d’Habilitation à Diriger des Recherches de l’Université Paris 13, Mars-1998.

1997

BENNANI Y., BOSSAERT F., DIDELET E. (1997),“Linear and Nonlinear Combinations of Connectionist Models for Local Diagnosis”, International Conference on Artificial Neural Networks,  ICANN ’97, 1089-1094, Lausanne, Suisse.

YACOUB M. & BENNANI Y. (1997),“HVS: A Heuristic for Variable Selection in Multilayer Artificial Neural Network Classifier", International Conference on Artificial Neural Networks and Intelligent Engineering, ANNIE '97, Missouri, USA.

RADEVSKI V. & BENNANI Y. (1997),“Combining Structural and Statistical Features for Handwritten Digit Recognition”, International Joint Conference of Information Sciences, IJCIS ’97, 2:102-105, NC, USA.

RADEVSKI V. & BENNANI Y. (1997),“Committee Neural Classifiers for Structural and Statistical Features Combination", International Conference on Artificial Neural Networks and Intelligent Engineering, ANNIE '97, Missouri, USA.

BENNANI Y., BOSSAERT F., LERAY P., GALLINARI P. (1997),“Systèmes Connexionnistes pour la Détection et l'Identification de Perturbations dans un Réseau Téléphonique”, Bulletin de l'AFIA : IA et Télécommunications, avril 97.

BENNANI Y. (1997), “Approches Connexionnistes pour la Détection et l’Identification de Perturbations dans un Réseau Téléphonique : Modélisation”, 7èmes Journées du LIPN, Septembre.

1996

BENNANI Y., BOSSAERT F., LERAY P., GALLINARI P. (1996),“Architectures Neuronales pour la Détection et la Classification de Perturbations dans un Réseau Téléphonique”, Actes des Séminaires Action Scientifique-CTI : Diagnostic des Systèmes Complexes, 17-18 juin 96, Issy les Moulineaux.

BENNANI Y. & BOSSAERT F. (1996),“Predictive Neural Networks ƒor Traffic Disturbance Detection in the Telephone Network”, “Computational Engineering in Systems Application”, IEEE-SMC ’96, Lille, 9-12 Juillet 96,  sur invitation.

BENNANI Y. & BOSSAERT F.  (1996), “From Implicit to Explicit Information in Multilayer Neural Networks”, International Conference on Intelligent Industrial Automation and Soft Computing, pp. 312-317, Mars 26-28, Reading, UK.

1995

BENNANI Y. & GALLINARI P. (1995),“Neural Networks for Discrimination and Modelization of Speakers”, Speech Communication, 17:159-175, Elsevier Science Publishers B.V., sur invitation.

BENNANI Y. & BOSSAERT F. (1995),“A Neural Network Based Variable Selector”, International Conference on Artificial Neural Networks and Intelligent Engineering, ANNIE '95, Missouri, USA.

BENNANI Y. (1995),“Speaker Identification”, Chapitre dans “Handbook of Brain Theory and Neural Networks”, MIT Press, Ed. M. Arbib, sur invitation. ISBN 0-262-51102-9

BENNANI Y. (1995),“A Modular and Hybrid Connectionist System for Automatic Speaker Identification”, Neural Computation, 7(4):791-797, MIT Press,  sur invitation.

1994

BENNANI Y. (1994),“Multi-Expert and Hybrid Connectionist Approach for Pattern Recognition”, International Journal of Neural Systems, 5(3):207-216, World Scientific Publishing Company.

BENNANI Y. & GALLINARI P. (1994),“Connectionist Approaches for Automatic Speaker Recognition”, ESCA Workshop on "Automatic Speaker Recognition", April 5-7, pp. 95-102, Martigny, Suisse, sur invitation.

1993

BENNANI Y. (1993),“Probabilistic Cooperation Of Connectionist Expert Modules: Validation On A Speaker  Identification Task”, International Conference on Acoustics, Speech, and Signal Processing, ICASSP ’93, Vol. 1, pp. 541-544, April 27-30, Minneapolis, Minnesota, U.S.A.

1992

BENNANI Y. (1992),“Talker Identification Through a Modular Connectionist Architecture: Evaluation on the TIMIT Database”, International Conference on Spoken Language Processing, ICSLP ’92, Oct. 12-16, Banf, CANADA.

BENNANI Y. & GALLINARI P. (1992),“Task Decomposition Through a Modular Connectionist Architecture: A Talker Identification System”, International Conference on Artificial Neural Networks, ICANN’92, Sept. 4-7, Britghton, U.K.

BENNANI Y. (1992),“Text-Independent Talker Identification System Combining Connectionist and Conventional Models”, IEEE Workshop on “Neural Networks for Signal Processing”, 2:131-138, IEEE Service Center Press, Ed. S. Y. Kung. 

BENNANI Y. & GALLINARI P. (1992),“Une Architecture Connexionniste Modulaire pour l’Identification Automatique du Locuteur”, 19ème Journées d’Etude sur la Parole, 19 -22 mai, Bruxelles, BELGIQUE.

BENNANI Y. (1992),“Approches Connexionnistes Pour La Reconnaissance Automatique du Locuteur : Modélisation et Identification”, Thèse de Doctorat de l’Université Paris 11, Orsay, Janvier-1992.

1991

BENNANI Y. & GALLINARI P. (1991), “On The Use Of TDNN-Extracted Features Information In Talker Identification”, IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP ’91, May 14-17, pp. 385-388, Toronto, CANADA.

BENNANI Y. & GALLINARI P. (1991),“A Modular Connectionist Architecture For Text-Idependent Talker Identification”, IEEE  International Joint Conference on Neural Networks, IJCNN ’91, pp. 857-860, Seattle, U.S.A.

ARTIERES T., BENNANI Y., GALLINARI P., MONTACIE C. (1991),“Connectionist and Conventional Models for Free-Text Talker Identification Tasks”, Neuro-Nimes '91, Journées Internationales, EC2, 04-08 Novembre.

BENNANI Y., CHAOURAR N., GALLINARI P., MELLOUK A. (1991), “Validation Of Neural Net Architectures On Speech Recognition Tasks”, IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP ’91, May 14-17, pp. 97-100, Toronto, Ontario, CANADA.

1990

CHOUKRI K., SOUDOPLATOFF S., WALLYN A., BIMBOT F., CHOLLET G., MONTACIE C.,GALLINARI P., BENNANI Y., VARGA A., IMMENDORFER M. (1990),“SPRINT : Speech Processing and recognition using integrated Neurocomputing techniques”,, International Journal of Neuro-Computing, 2:71-78, Elsevier Science Publishers B.V.

BENNANI Y., FOGELMAN F., GALLINARI P. (1990),“A connectionist  Approach for Automatic Speaker Identification”, IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP ’90, April 3-6, pp. 857-860, Albuquerque, New Mexico, U.S.A.

BENNANI Y., FOGELMAN F., GALLINARI P. (1990),“Text-Dependent Speaker Identification Using Learning Vector Quantization”, International Neural Network Conference, INNC ’90, July 9-13, pp. 1087-1090, Paris, FRANCE.

CHAOURAR N., MELLOUK A., BENNANI Y., FOGELMAN F. (1990),“Etude Comparative Entre Les Cartes Topologiques Et Les Méthodes Classiques De Quantification Vectorielle”, Neuro-Nimes '90 3eme Journées Internationales, pp. 161-170, EC2, 12-16 Novembre.

BENNANI Y., CHAOURAR N., GALLINARI P., MELLOUK A. (1990),“Comparing Neural Net Models On Speech Recognition Tasks”, Neuro-Nimes '90 3eme Journées Internationales, pp. 455-468, EC2, 12-16 Novembre.

CHOUKRI K., SOUDOPLATOFF S., WALLYN A., BIMBOT F., CHOLLET G., MONTACIE C.,GALLINARI P., BENNANI Y.,VARGA A., IMMENDORFER M. (1990),“Speech recognition using integrated Neuro-computing techniques”, Advances in Neural Information Processing Systems, NIPS '90, Nov. 26-29, Denver.

1989

DAUDIN E., BENNANI Y., CHOLLET G. (1989),“Simulation de Techniques de Vérification Automatique du Locuteur”, CIRM, Variabilité et Spécificité des Locuteurs, Juin 20-23, Luminy, FRANCE.