Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Azzag, Hanene"'
Autor:
Nguyen, Quang Anh, Tomeh, Nadi, Lebbah, Mustapha, Charnois, Thierry, Azzag, Hanene, Muñoz, Santiago Cordoba
With the continuous development of pre-trained language models, prompt-based training becomes a well-adopted paradigm that drastically improves the exploitation of models for many natural language processing tasks. Prompting also shows great performa
Externí odkaz:
http://arxiv.org/abs/2410.06173
Autor:
Amekoe, Kodjo Mawuena, Lebbah, Mustapha, Jaffre, Gregoire, Azzag, Hanene, Dagdia, Zaineb Chelly
Real-world tabular learning production scenarios typically involve evolving data streams, where data arrives continuously and its distribution may change over time. In such a setting, most studies in the literature regarding supervised learning favor
Externí odkaz:
http://arxiv.org/abs/2409.10111
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. Our non-parametric co-clustering algorithm divid
Externí odkaz:
http://arxiv.org/abs/2402.01050
Dirichlet Process Mixture Models (DPMMs) are widely used to address clustering problems. Their main advantage lies in their ability to automatically estimate the number of clusters during the inference process through the Bayesian non-parametric fram
Externí odkaz:
http://arxiv.org/abs/2312.11169
Autor:
Amekoe, Kodjo Mawuena, Dilmi, Mohamed Djallel, Azzag, Hanene, Lebbah, Mustapha, Dagdia, Zaineb Chelly, Jaffre, Gregoire
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 cha
Externí odkaz:
http://arxiv.org/abs/2305.11684
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. Recent discoveries about Epigenetics regulation processes that occur
Externí odkaz:
http://arxiv.org/abs/2303.10154
The analysis of data streams has received considerable attention over the past few decades due to sensors, social media, etc. It aims to recognize patterns in an unordered, infinite, and evolving stream of observations. Clustering this type of data r
Externí odkaz:
http://arxiv.org/abs/2201.05079
This paper proposes a few-shot method based on Faster R-CNN and representation learning for object detection in aerial images. The two classification branches of Faster R-CNN are replaced by prototypical networks for online adaptation to new classes.
Externí odkaz:
http://arxiv.org/abs/2109.13027
Publikováno v:
In Neural Networks June 2016 78:36-50
Autor:
Attaoui, Mohammed Oualid1,2 (AUTHOR) attaoui@lipn.univ-paris13.fr, Azzag, Hanene1 (AUTHOR), Lebbah, Mustapha1 (AUTHOR), Keskes, Nabil2 (AUTHOR)
Publikováno v:
Neural Computing & Applications. Apr2021, Vol. 33 Issue 8, p3691-3712. 22p.