Publications
Publications
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.
BENLAMINE
K., BENNANI Y., MATEI
B., GROZAVU N., FALIH
I. (2021),
«Collaborative
Learning to Improve
the Non Uniqueness of
NMF», in
IJCIA,International
Journal of
Computational
Intelligence and
Applications, Vol. x,
No. x, World
Scientific Publishing
Company.
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/3668.574.
EL HAMRI M., BENNANI Y. (2021), «Regularized
optimal transport for dynamic
semi-supervised learning», CoRR
abs/2103.11937.
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.
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 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 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.
