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- Hanene Azzag
aka: Hanene Azzag-Khelif, Hanane Azzag
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Publication search results
found 120 matches
- 2024
- Quang Anh Nguyen, Nadi Tomeh, Mustapha Lebbah, Thierry Charnois, Hanene Azzag, Santiago Cordoba Muñoz:
Enhancing Few-Shot Topic Classification with Verbalizers. a Study on Automatic Verbalizer and Ensemble Methods. LREC/COLING 2024: 5956-5965 - Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah:
Distributed MCMC Inference for Bayesian Non-parametric Latent Block Model. PAKDD (1) 2024: 271-283 - Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah:
Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model. CoRR abs/2402.01050 (2024) - Bilal Faye, Hanane Azzag, Mustapha Lebbah, Djamel Bouchaffra:
Context-Based Multimodal Fusion. CoRR abs/2403.04650 (2024) - Bilal Faye, Hanane Azzag, Mustapha Lebbah:
Cluster-Based Normalization Layer for Neural Networks. CoRR abs/2403.16798 (2024) - 2023
- Mohammed Oualid Attaoui, Nassima Dif, Hanene Azzag, Mustapha Lebbah:
Regions of interest selection in histopathological images using subspace and multi-objective stream clustering. Vis. Comput. 39(4): 1683-1701 (2023) - Reda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Étienne Goffinet, Mustapha Lebbah:
Propriétés émergentes du multi-clustering bayésien non paramétrique: Application aux données d'images multivues. EGC 2023: 639-640 - Mohammed Walid Attaoui, Hanene Azzag, Mustapha Lebbah:
Improved Multi-Objective Data Stream Clustering with Time and Memory Optimization. GECCO Companion 2023: 267-270 - Bilal Faye, Hanane Azzag, Mustapha Lebbah, Mohamed Djallel Dilmi, Djamel Bouchaffra:
Context Normalization Layer with Applications. ICDM (Workshops) 2023: 615-624 - Alex Mourer, Florent Forest, Mustapha Lebbah, Hanane Azzag, Jérôme Lacaille:
Selecting the Number of Clusters K with a Stability Trade-off: An Internal Validation Criterion. PAKDD (1) 2023: 210-222 - Bilal Faye, Mohamed Djallel Dilmi, Hanane Azzag, Mustapha Lebbah, Fangchen Feng:
Context Normalization for Robust Image Classification. CoRR abs/2303.07651 (2023) - Mohamed Djallel Dilmi, Hanene Azzag, Mustapha Lebbah:
Epigenetics Algorithms: Self-Reinforcement-Attention mechanism to regulate chromosomes expression. CoRR abs/2303.10154 (2023) - Kodjo Mawuena Amekoe, Mohamed Djallel Dilmi, Hanene Azzag, Mustapha Lebbah, Zaineb Chelly Dagdia, Gregoire Jaffre:
Self-Reinforcement Attention Mechanism For Tabular Learning. CoRR abs/2305.11684 (2023) - Reda Khoufache, Mustapha Lebbah, Hanene Azzag, Étienne Goffinet, Djamel Bouchaffra:
Distributed Collapsed Gibbs Sampler for Dirichlet Process Mixture Models in Federated Learning. CoRR abs/2312.11169 (2023) - 2022
- Nassima Dif, Mohammed Oualid Attaoui, Zakaria Elberrichi, Mustapha Lebbah, Hanene Azzag:
Transfer learning from synthetic labels for histopathological images classification. Appl. Intell. 52(1): 358-377 (2022) - Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant:
Functional non-parametric latent block model: A multivariate time series clustering approach for autonomous driving validation. Comput. Stat. Data Anal. 176: 107565 (2022) - Reda Khoufache, Mohamed Djallel Dilmi, Hanene Azzag, Etienne Gofinnet, Mustapha Lebbah:
Emerging properties from Bayesian Non-Parametric for multiple clustering: Application for multi-view image dataset. ICDM (Workshops) 2022: 31-38 - Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes:
Improved Multi-objective Data Stream Clustering with Time and Memory Optimization. CoRR abs/2201.05079 (2022) - Abdellah Madane, Mohamed Djallel Dilmi, Florent Forest, Hanane Azzag, Mustapha Lebbah, Jérôme Lacaille:
Transformer-based conditional generative adversarial network for multivariate time series generation. CoRR abs/2210.02089 (2022) - 2021
- Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes:
Subspace data stream clustering with global and local weighting models. Neural Comput. Appl. 33(8): 3691-3712 (2021) - Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille:
Deep embedded self-organizing maps for joint representation learning and topology-preserving clustering. Neural Comput. Appl. 33(24): 17439-17469 (2021) - Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant:
Non-parametric Multivariate Time Series Co-clustering Model Applied to Driving-Assistance Systems Validation. AALTD@ECML/PKDD 2021: 71-87 - Mohammed Oualid Attaoui, Hanene Azzag, Nabil Keskes, Mustapha Lebbah:
A New Subspace Multi-Objective Approach for the Clustering and Selection of Regions of Interests in Histopathological Images. CEC 2021: 556-563 - Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi, Anthony Coutant:
Multivariate Time Series Multi-Coclustering. Application to Advanced Driving Assistance System Validation. ESANN 2021 - Gaël Beck, Mustapha Lebbah, Hanene Azzag, Tarn Duong:
A New Nearest Neighbor Median Shift Clustering for Binary Data. ICANN (5) 2021: 101-112 - Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag:
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images. ICMLA 2021: 662-667 - Pierre Le Jeune, Mustapha Lebbah, Anissa Mokraoui, Hanene Azzag:
Experience feedback using Representation Learning for Few-Shot Object Detection on Aerial Images. CoRR abs/2109.13027 (2021) - 2020
- Mohammed Oualid Attaoui, Mustapha Lebbah, Nabil Keskes, Hanene Azzag, Mohammed Ghesmoune:
Soft Subspace Growing Neural Gas pour le Clustering de Flux de Données. EGC 2020: 441-448 - Étienne Goffinet, Mustapha Lebbah, Hanane Azzag, Loïc Giraldi:
Clustering de séries temporelles par construction de dictionnaire. EGC 2020: 181-192 - Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes:
Multi-objective data stream clustering. GECCO Companion 2020: 113-114
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