Hanene Azzag - RankMe

57 papers A* 1A 2B 7C 2Journal 23Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NeuroGame Transformer: Gibbs-Inspired Attention Driven by Game Theory and Statistical Physics. CoRR Djamel Bouchaffra, Fayçal Ykhlef, Hanene Azzag, Mustapha Lebbah, Bilal Faye
2025	J	`jnl`	A distributed inference algorithm for Dirichlet process mixture models with exponential family components. Neurocomputing Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra
2025	J	`jnl`	Redesigning deep neural networks: Bridging game theory and statistical physics. Neural Networks Djamel Bouchaffra, Fayçal Ykhlef, Bilal Faye, Mustapha Lebbah, Hanene Azzag
2024	A	`conf`	Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. SDM Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra
2024	—	`conf`	Distributed MCMC Inference for Bayesian Non-parametric Latent Block Model. PAKDD (1) Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah
2024	J	`jnl`	Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model. CoRR Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah
2024	—	`conf`	Enhancing Few-Shot Topic Classification with Verbalizers. a Study on Automatic Verbalizer and Ensemble Methods. LREC/COLING Quang Anh Nguyen, Nadi Tomeh, Mustapha Lebbah, Thierry Charnois, Hanene Azzag, Santiago Cordoba Muñoz
2024	J	`jnl`	Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection. CoRR Kodjo Mawuena Amekoe, Mustapha Lebbah, Gregoire Jaffre, Hanene Azzag, Zaineb Chelly Dagdia
2024	J	`jnl`	Manual Verbalizer Enrichment for Few-Shot Text Classification. CoRR Quang Anh Nguyen, Nadi Tomeh, Mustapha Lebbah, Thierry Charnois, Hanene Azzag, Santiago Cordoba Muñoz
2023	J	`jnl`	Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. CoRR Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra
2023	J	`jnl`	Epigenetics Algorithms: Self-Reinforcement-Attention mechanism to regulate chromosomes expression. CoRR Mohamed Djallel Dilmi, Hanene Azzag, Mustapha Lebbah
2023	—	`conf`	Improved Multi-Objective Data Stream Clustering with Time and Memory Optimization. GECCO Companion Mohammed Walid Attaoui, Hanene Azzag, Mustapha Lebbah
2023	—	`conf`	Propriétés émergentes du multi-clustering bayésien non paramétrique: Application aux données d'images multivues. EGC Reda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Étienne Goffinet, Mustapha Lebbah
2023	J	`jnl`	Regions of interest selection in histopathological images using subspace and multi-objective stream clustering. Vis. Comput. Mohammed Oualid Attaoui, Nassima Dif, Hanene Azzag, Mustapha Lebbah
2023	J	`jnl`	Self-Reinforcement Attention Mechanism For Tabular Learning. CoRR Kodjo Mawuena Amekoe, Mohamed Djallel Dilmi, Hanene Azzag, Mustapha Lebbah, Zaineb Chelly Dagdia, Gregoire Jaffre
2023	B	`conf`	TabSRA: An Attention based Self-Explainable Model for Tabular Learning. ESANN Kodjo Mawuena Amekoe, Mohamed Djallel Dilmi, Hanene Azzag, Zaineb Chelly Dagdia, Mustapha Lebbah, Gregoire Jaffre
2022	—	`conf`	Emerging properties from Bayesian Non-Parametric for multiple clustering: Application for multi-view image dataset. ICDM (Workshops) Reda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Etienne Gofinnet, Mustapha Lebbah
2022	J	`jnl`	Improved Multi-objective Data Stream Clustering with Time and Memory Optimization. CoRR Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes
2022	J	`jnl`	Transfer learning from synthetic labels for histopathological images classification. Appl. Intell. Nassima Dif, Mohammed Oualid Attaoui, Zakaria Elberrichi, Mustapha Lebbah, Hanene Azzag
2021	—	`conf`	A New Nearest Neighbor Median Shift Clustering for Binary Data. ICANN (5) Gaël Beck, Mustapha Lebbah, Hanene Azzag, Tarn Duong
2021	B	`conf`	A New Subspace Multi-Objective Approach for the Clustering and Selection of Regions of Interests in Histopathological Images. CEC Mohammed Oualid Attaoui, Hanene Azzag, Nabil Keskes, Mustapha Lebbah
2021	J	`jnl`	Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering. Neural Comput. Appl. Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille
2021	C	`conf`	Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images. ICMLA Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag
2021	J	`jnl`	Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images. CoRR Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag
2021	J	`jnl`	Subspace data stream clustering with global and local weighting models. Neural Comput. Appl. Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes
2020	—	`conf`	Multi-objective data stream clustering. GECCO Companion Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes
2020	—	`conf`	Soft Subspace Growing Neural Gas pour le Clustering de Flux de Données. EGC Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune
2019	J	`jnl`	An ant-based new clustering model for graph proximity construction. Int. J. Bio Inspired Comput. Nesrine Masmoudi, Hanene Azzag, Mustapha Lebbah, Cyrille Bertelle, Maher Ben Jemaa
2019	B	`conf`	Deep Embedded SOM: joint representation learning and self-organization. ESANN Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille
2019	—	`conf`	Soft Subspace Growing Neural Gas for Data Stream Clustering. ICANN (4) Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune
2019	—	`conf`	Soft Subspace Topological Clustering over Evolving Data Stream. WSOM+ Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune
2018	—	`conf`	A Distributed Rough Set Theory Algorithm based on Locality Sensitive Hashing for an Efficient Big Data Pre-processing. IEEE BigData Zaineb Chelly Dagdia, Christine Zarges, Gaël Beck, Hanene Azzag, Mustapha Lebbah
2018	—	`conf`	A Generic and Scalable Pipeline for Large-Scale Analytics of Continuous Aircraft Engine Data. IEEE BigData Florent Forest, Jérôme Lacaille, Mustapha Lebbah, Hanene Azzag
2018	J	`jnl`	An Instance Based Model for Scalable Int. J. Artif. Intell. Tools Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanene Azzag
2017	B	`conf`	An Instance Based Model for Scalable Theta -Subsumption. ICTAI Hippolyte Léger, Dominique Bouthinon, Mustapha Lebbah, Hanene Azzag
2017	J	`jnl`	Big Data: from collection to visualization. Mach. Learn. Mohammed Ghesmoune, Hanene Azzag, Salima Benbernou, Mustapha Lebbah, Tarn Duong, Mourad Ouziri
2016	J	`jnl`	A new Growing Neural Gas for clustering data streams. Neural Networks Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag
2016	B	`conf`	Distributed mean shift clustering with approximate nearest neighbours. IJCNN Gaël Beck, Tarn Duong, Hanene Azzag, Mustapha Lebbah
2016	J	`jnl`	Nearest neighbour estimators of density derivatives, with application to mean shift clustering. Pattern Recognit. Lett. Tarn Duong, Gaël Beck, Hanene Azzag, Mustapha Lebbah
2015	—	`conf`	Clustering Over Data Streams Based on Growing Neural Gas. PAKDD (2) Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag
2015	—	`conf`	Micro-Batching Growing Neural Gas for Clustering Data Streams Using Spark Streaming. INNS Conference on Big Data Mohammed Ghesmoune, Mustapha Lebbah, Hanene Azzag
2014	—	`conf`	G-Stream: Growing Neural Gas over Data Stream. ICONIP (1) Mohammed Ghesmoune, Hanene Azzag, Mustapha Lebbah
2011	J	`jnl`	Self-Organizing Tree Using Artificial Ants. J. Inf. Technol. Res. Hanene Azzag, Mustapha Lebbah
2010	C	`conf`	Map-TreeMaps: A New Approach for Hierarchical and Topological Clustering. ICMLA Hanene Azzag, Mustapha Lebbah, Aymen Arfaoui
2009	—	`ch.`	VRMiner. Database Technologies: Concepts, Methodologies, Tools, and Applications Hanene Azzag, Fabien Picarougne, Christiane Guinot, Gilles Venturini
2007	J	`jnl`	A New Approach of Data Clustering Using a Flock of Agents. Evol. Comput. Fabien Picarougne, Hanene Azzag, Gilles Venturini, Christiane Guinot
2007	J	`jnl`	A hierarchical ant based clustering algorithm and its use in three real-world applications. Eur. J. Oper. Res. Hanene Azzag, Gilles Venturini, Antoine Oliver, Christiane Guinot
2007	—	`conf`	Construction incrémentale et visualisation de graphes de voisinage par des fourmis artificielles. EGC Julien Lavergne, Hanene Azzag, Christiane Guinot, Gilles Venturini
2006	—	`ch.`	Data and Text Mining with Hierarchical Clustering Ants. Swarm Intelligence in Data Mining Hanene Azzag, Christiane Guinot, Gilles Venturini
2006	A*	`conf`	Generating maps of web pages using cellular automata. WWW Hanene Azzag, David Ratsimba, David Da Costa, Gilles Venturini, Christiane Guinot
2006	—	`conf`	On Building Maps of Web Pages with a Cellular Automaton. BICC Hanene Azzag, David Ratsimba, David Da Costa, Christiane Guinot, Gilles Venturini
2005	—	`conf`	Automatic generation of web portals using artificial ants. WWW (Special interest tracks and posters) Hanene Azzag, Gilles Venturini, Christiane Guinot
2004	A	`conf`	AntTree: A Web Document Clustering Using Artificial Ants. ECAI Hanene Azzag, Christiane Guinot, Gilles Venturini
2004	—	`conf`	How to Use Ants for Hierarchical Clustering. ANTS Workshop Hanene Azzag, Christiane Guinot, Gilles Venturini
2004	B	`conf`	On Data Clustering with a Flock of Artificial Agents. ICTAI Fabien Picarougne, Hanene Azzag, Gilles Venturini, Christiane Guinot
2003	—	`conf`	A Clustering Algorithm Based on the Ants Self-Assembly Behavior. ECAL Hanene Azzag, Nicolas Monmarché, Mohamed Slimane, Christiane Guinot, Gilles Venturini
2003	B	`conf`	AntTree: a new model for clustering with artificial ants. IEEE Congress on Evolutionary Computation Hanene Azzag, Nicolas Monmarché, Mohamed Slimane, Gilles Venturini