Mustapha Lebbah
Mustapha Lebbah
Sorbonne Paris Nord University
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Cited by
Cited by
State-of-the-art on clustering data streams
M Ghesmoune, M Lebbah, H Azzag
Big Data Analytics 1 (1), 1-27, 2016
A new growing neural gas for clustering data streams
M Ghesmoune, M Lebbah, H Azzag
Neural Networks 78, 36-50, 2016
SOM clustering using spark-mapreduce
T Sarazin, H Azzag, M Lebbah
2014 IEEE International Parallel & Distributed Processing Symposium …, 2014
From variable weighting to cluster characterization in topographic unsupervised learning
N Grozavu, Y Bennani, M Lebbah
2009 International Joint Conference on Neural Networks, 1005-1010, 2009
BeSOM: Bernoulli on self-organizing map
M Lebbah, N Rogovschi, Y Bennani
2007 International joint conference on neural networks, 631-636, 2007
Biophysical regions identification using an artificial neuronal network: A case study in the South Western Atlantic
M Saraceno, C Provost, M Lebbah
Advances in Space Research 37 (4), 793-805, 2006
Topological map for binary data.
M Lebbah, F Badran, S Thiria
ESANN, 267-272, 2000
Nearest neighbour estimators of density derivatives, with application to mean shift clustering
T Duong, G Beck, H Azzag, M Lebbah
Pattern Recognition Letters 80, 224-230, 2016
Micro-batching growing neural gas for clustering data streams using spark streaming
M Ghesmoune, M Lebbah, H Azzag
Procedia Computer Science 53, 158-166, 2015
Feature selection for self-organizing map
K Benabdeslem, M Lebbah
2007 29th International Conference on Information Technology Interfaces, 45-50, 2007
A distributed approximate nearest neighbors algorithm for efficient large scale mean shift clustering
G Beck, T Duong, M Lebbah, H Azzag, C Cérin
Journal of Parallel and Distributed Computing 134, 128-139, 2019
Mixed Topological Map.
M Lebbah, A Chazottes, F Badran, S Thiria
ESANN 17, 47, 2005
A distributed rough set theory based algorithm for an efficient big data pre-processing under the spark framework
ZC Dagdia, C Zarges, G Beck, M Lebbah
2017 IEEE International Conference on Big Data (Big Data), 911-916, 2017
G-stream: Growing neural gas over data stream
M Ghesmoune, H Azzag, M Lebbah
International Conference on Neural Information Processing, 207-214, 2014
A probabilistic self-organizing map for binary data topographic clustering
M Lebbah, Y Bennani, N Rogovschi
International Journal of Computational Intelligence and Applications 7 (04 …, 2008
An evolutionary computing-based efficient hybrid task scheduling approach for heterogeneous computing environment
M Sulaiman, Z Halim, M Lebbah, M Waqas, S Tu
Journal of Grid Computing 19 (1), 1-31, 2021
Biclustering using spark-mapreduce
T Sarazin, M Lebbah, H Azzag
2014 IEEE International Conference on Big Data (Big Data), 58-60, 2014
Deep architectures for joint clustering and visualization with self-organizing maps
F Forest, M Lebbah, H Azzag, J Lacaille
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 105-116, 2019
Deep embedded SOM: joint representation learning and self-organization
F Forest, M Lebbah, H Azzag, J Lacaille
reconstruction 500, 500, 2000
Clustering over data streams based on growing neural gas
M Ghesmoune, M Lebbah, H Azzag
Pacific-Asia conference on knowledge discovery and data mining, 134-145, 2015
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