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Hanane Azzag

Observed names: AZZAG, Hanane, Azzag Hanane, Azzag, H., Azzag, Hanane, Azzag, Hanene, H. AZZAG, H. Azzag, H., Azzag, HANANE AZZAG, Hanane AZZAG, Hanene Azzag, Hanene Azzag Polytech, Hanene Azzag-Khelif
Observed institutions: Université de Tours, Centre National de la Recherche Scientifique, Université Le Havre Normandie, Université Paris Cité, Université Sorbonne Paris Nord, Sorbonne Paris Cité, Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes, Laboratoire d'Informatique Fondamentale et Appliquée de Tours, Laboratoire d'Informatique de Paris-Nord, Polytech Tours
ORCID: 0000-0001-6876-0688
Observed ORCID: 0000-0001-6876-0688
OpenAlex ID: A5047336564
State-of-the-art on clustering data streams
2016 · Mohammed Ghesmoune, Mustapha Lebbah, et al. · Big Data Analytics · 83
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AntTree- a new model for clustering with artificial ants
2004 · H. Azzag, N. Monmarche, et al. · IEEE Congress on Evolutionary Computation (CEC) · 79
A hierarchical ant based clustering algorithm and its use in three real-world applications
2005 · Hanene Azzag, Gilles Venturini, et al. · European Journal of Operational Research · 76
Proceedings of the 17th International Conference on Information Visualization
2013 · Banissi, Ebad, Azzag, Hanene, et al. · HAL · 53
A new Growing Neural Gas for clustering data streams
2016 · Mohammed Ghesmoune, Mustapha Lebbah, et al. · Neural Networks · 51
Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering
2021 · Florent Forest, Mustapha Lebbah, et al. · Neural Computing and Applications · 32
A distributed approximate nearest neighbors algorithm for efficient large scale mean shift clustering
2019 · Gaël Beck, Tarn Duong, et al. · Journal of Parallel and Distributed Computing · 32
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SOM Clustering Using Spark-MapReduce
2014 · Tugdual Sarazin, Hanane Azzag, et al. · IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum · 30
Clustering of Self-Organizing Map
2008 · Hanane Azzag, Mustapha Lebbah · 29
Transfer learning from synthetic labels for histopathological images classification
2021 · Nassima Dif, Mohammed Oualid Attaoui, et al. · Applied Intelligence · 27
A New Approach of Data Clustering Using a Flock of Agents
2007 · Fabien Picarougne, Hanene Azzag, et al. · Evolutionary Computation · 27
Data and Text Mining with Hierarchical Clustering Ants
2006 · Hanene Azzag, Christiane Guinot, et al. · Studies in computational intelligence · 25
Nearest neighbour estimators of density derivatives, with application to mean shift clustering
2016 · Tarn Duong, Gaël Beck, et al. · Pattern Recognition Letters · 23
Micro-Batching Growing Neural Gas for Clustering Data Streams Using Spark Streaming
2015 · Mohammed Ghesmoune, Mustapha Lebbah, et al. · Procedia Computer Science · 20
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Biclustering using Spark-MapReduce
2014 · Tugdual Sarazin, Mustapha Lebbah, et al. · IEEE International Conference on Big Data (BigData) · 18
VRMiner
2011 · H. Azzag, F. Picarougne, et al. · IGI Global eBooks · 18
G-Stream: Growing Neural Gas over Data Stream
2014 · Mohammed Ghesmoune, Hanene Azzag, et al. · Lecture notes in computer science · 16
Clustering Over Data Streams Based on Growing Neural Gas
2015 · Mohammed Ghesmoune, Mustapha Lebbah, et al. · Lecture notes in computer science · 14
Deep Architectures for Joint Clustering and Visualization with Self-organizing Maps
2019 · Florent Forest, Mustapha Lebbah, et al. · Lecture notes in computer science · 13
A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data
2018 · Florent Forest, Jerome Lacaille, et al. · IEEE International Conference on Big Data (BigData) · 13
Large-scale Vibration Monitoring of Aircraft Engines from Operational Data using Self-organized Models
2020 · Florent Forest, Quentin Cochard, et al. · Annual Conference of the PHM Society · 11
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A Survey and Implementation of Performance Metrics for Self-Organized Maps
2020 · Forest, Florent, Lebbah, Mustapha, et al. · arXiv (Cornell University) · 10
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A Distributed Rough Set Theory Algorithm based on Locality Sensitive Hashing for an Efficient Big Data Pre-processing
2018 · Zaineb Chelly Dagdia, Christine Zarges, et al. · IEEE International Conference on Big Data (BigData) · 10
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images
2021 · Pierre Le Jeune, Mustapha Lebbah, et al. · International Conference on Machine Learning and Applications · 9
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Exploring accuracy and interpretability trade-off in tabular learning with novel attention-based models
2024 · Kodjo Mawuena Amekoe, Hanane Azzag, et al. · Neural Computing and Applications · 7
Works count: 216
Citation count: 928
H-index: 16
I10-index: 23
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