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Publications

Cette page présente les publications du Centre Borelli déposées sur le serveur HAL.

Affichage des publications 301 à 310 sur 1122 au total

Signal and Image processing

A Signal-dependent Video Noise Estimator Via Inter-frame Signal Suppression

We propose a block-based signal-dependent noise estimation method on videos, that leverages inter-frame redundancy to separate noise from signal. Block matching is applied to find block pairs between two consecutive frames with similar signal. Then…

Yanhao Li, Marina Gardella, Quentin Bammey, Tina Nikoukhah, Rafael Grompone von Gioi, Miguel Colom, Jean-Michel Morel

Image Processing On Line -

Computer Science

Using genetic algorithms to detect intrusions for IoT systems

The purpose of this paper is to develop an intrusion detection system for IoT systems using deep learning and the genetic algorithm to optimize (or, more precisely, compress) the model. To meet the security requirements of IoT systems, we aim to…

Riad Ziani, Amel Khamoum, Osman Salem, Ahmed Mehaoua

2023 IEEE International Conference on E-health Networking, Application & Services (IEEE Healthcom 23) -

Computer Science

Machine Learning for IoT Devices Security Reinforcement

As more lightweight objects connect to the Internet, the Internet of Things (IoT) is changing our linked environment. Thus, IoT intrusion detection research must be high-quality to provide solutions. Network intrusion datasets are essential for…

Philippe Ea, Jiahui Xiang, Osman Salem, Ahmed Mehaoua

6th International Conference on Machine Learning for Networking (MLN'2023) -

Computer Science

Analysis of Different Machine Learning Models for Diabetes Prediction

This paper presents a comparative analysis of various machine learning models applied to a diabetes dataset. The study evaluates a range of ML algorithms, employing exploratory data analysis and feature engineering techniques. The primary objective…

Rym Moussaoui, Osman Salem, Ahmed Mehaoua

2023 IEEE International Conference on E-health Networking, Application & Services (IEEE Healthcom 23) -

Computer Science

Detection of Cyberbullying in Online Comments Latest Advances and Challenges

Cyberbullying is a growing problem in today's digital society, with seriousconsequences for the mental health, professional life, and generalwell-being of victims. To combat this phenomenon, it is essential toeffectively detect cases of…

Lina Feriel Benassou, Safa Bendaouia, Osman Salem, Ahmed Mehaoua

2023 IEEE International Conference on E-health Networking, Application & Services (IEEE Healthcom 23) -

Signal and Image processing

Détection a contrario de la double compression vidéo et application préliminaire à la détection de deepfakes

Video double compression detection can provide important clues to recover the video editing and sharing history. Indeed, to manipulate a video, one must first decompress it, then perform the desired editions and finally re-encode it. In this article…

Yanhao Li, Marina Gardella, Quentin Bammey, Tina Nikoukhah, Jean-Michel Morel, Miguel Colom, Rafael Grompone

XXIXème Colloque Francophone de Traitement du Signal et des Images GRETSI 2023 -

Machine Learning

Tensor-based Graph Modularity for Text Data Clustering

Graphs are used in several applications to represent similarities between instances. For text data, we can represent texts by different features such as bag-of-words, static embeddings (Word2vec, GloVe, etc.), and contextual embeddings (BERT,…

Rafika Boutalbi, Mira Ait-Saada, Anastasiia Iurshina, Steffen Staab, Mohamed Nadif

SIGIR'22: International ACM SIGIR Conference on Research and Development in Information Retrieval -

Machine Learning

Is Anisotropy Truly Harmful? A Case Study on Text Clustering

In the last few years, several studies have been devoted to dissecting dense text representations in order to understand their effectiveness and further improve their quality. Particularly, the anisotropy of such representations has been observed,…

Mira Ait-Saada, Mohamed Nadif

61st Annual Meeting of the Association for Computational Linguistics (ACL’23) -