Search Results for author: Hanene Azzag

Found 7 papers, 4 papers with code

Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model

1 code implementation1 Feb 2024 Reda Khoufache, Anisse Belhadj, Hanene Azzag, Mustapha Lebbah

In this paper, we introduce a novel Distributed Markov Chain Monte Carlo (MCMC) inference method for the Bayesian Non-Parametric Latent Block Model (DisNPLBM), employing the Master/Worker architecture.

Clustering

Self-Reinforcement Attention Mechanism For Tabular Learning

no code implementations19 May 2023 Kodjo Mawuena Amekoe, Mohamed Djallel Dilmi, Hanene Azzag, Mustapha Lebbah, Zaineb Chelly Dagdia, Gregoire Jaffre

Apart from the high accuracy of machine learning models, what interests many researchers in real-life problems (e. g., fraud detection, credit scoring) is to find hidden patterns in data; particularly when dealing with their challenging imbalanced characteristics.

Fraud Detection

Improved Multi-objective Data Stream Clustering with Time and Memory Optimization

no code implementations13 Jan 2022 Mohammed Oualid Attaoui, Hanene Azzag, Mustapha Lebbah, Nabil Keskes

The experiments show the ability of our method to partition the data stream in arbitrarily shaped, compact, and well-separated clusters while optimizing the time and memory.

Clustering

Deep Embedded SOM: Joint Representation Learning and Self-Organization

1 code implementation ESANN 2019 2019 Florent Forest, Mustapha Lebbah, Hanene Azzag, Jérôme Lacaille

In the wake of recent advances in joint clustering and deep learning, we introduce the Deep Embedded Self-Organizing Map, a model that jointly learns representations and the code vectors of a self-organizing map.

Clustering Dimensionality Reduction +2

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