1 citations · 3 across the 4 of their papers we have counts for
6 papers
Distributed MCMC inference for Bayesian Non-Parametric Latent Block Model
Reda Khoufache, Anisse Belhadj, Hanene Azzag +1
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…
Parallel Computation of Multi-Slice Clustering of Third-Order Tensors
Dina Faneva Andriantsiory, Camille Coti, Joseph Ben Geloun +1
Machine Learning approaches like clustering methods deal with massive datasets that present an increasing challenge. We devise parallel algorithms to compute the Multi-Slice Cluste…
Self-Reinforcement Attention Mechanism For Tabular Learning
Kodjo Mawuena Amekoe, Mohamed Djallel Dilmi, Hanene Azzag +3
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…
DBSCAN of Multi-Slice Clustering for Third-Order Tensors
Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah
Several methods for triclustering three-dimensional data require the cluster size or the number of clusters in each dimension to be specified. To address this issue, the Multi-Slic…
Epigenetics Algorithms: Self-Reinforcement-Attention mechanism to regulate chromosomes expression
Mohamed Djallel Dilmi, Hanene Azzag, Mustapha Lebbah
Genetic algorithms are a well-known example of bio-inspired heuristic methods. They mimic natural selection by modeling several operators such as mutation, crossover, and selection…
Multiway clustering of 3-order tensor via affinity matrix
Dina Faneva Andriantsiory, Joseph Ben Geloun, Mustapha Lebbah
We propose a new method of multiway clustering for 3-order tensors via affinity matrix (MCAM). Based on a notion of similarity between the tensor slices and the spread of informati…