Publications
Publications
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.
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.
ZOUININA S., BENNANI Y., ROGOVSCHI N., LYHYAOUI A. (2020), «Data Anonymization through Collaborative Multi-view Microaggregation», to appear in the Journal of Intelligent Systems (JISYS), De Gruyter Poland Ltd.
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 Minning», 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), «Universal Unsupervised Transfer Learning
through 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., BENHADDA H., GROZAVU N. (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), “Dendogram-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) : « An environment for evolutionary
vehicle 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 ICSC 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),“Modular and Hybrid Connectionist System for
Automatic Speaker Identification”, Neural Computation, 7(4):791-797,
MIT Press, sur invitation.
1994
BENNANI Y. (1994),“Multi-Modular 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
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