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Publications

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

Affichage des publications 641 à 650 sur 1466 au total

Computer Science

Soft Voting for Anomaly Detection in Internet of Medical Things

In this paper, we propose an approach for anomaly detection in Internet of Medical Things based on the soft voting between the most accurate machine learning algorithms. We compare 12 machines learning and 5 deep learning algorithms for anomaly…

Osman Salem, Ahmed Mehaoua, Raouf Boutaba

2023 IEEE Global Communications Conference (Globecom 23) -

Computer Science

Detecting Virtual Harassment in Social Media Using Machine Learning

The escalating prevalence of cyberbullying stands as a significant challenge in our digital era, causing severe repercussions on individuals' mental health, well-being, and professional integrity. This paper introduces an innovative approach to…

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

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

Computer Science

Graph Neural Networks for Anomaly Detection in Internet of Medical Things

Recent advancements in the realm of Graph Neural Networks (GNN) have unveiled compelling new prospects for classifying and detecting anomalies within medical datasets. Within this study, we delve into the efficacy of GNNs by leveraging diverse…

Mickael Mohammed, Osman Salem, Ahmed Mehaoua

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

Computer Science

Detecting Abnormal Authentication Delays in Identity and Access Management using Machine Learning

Authentication delay is an important metric for measuring the performance and responsiveness of Identity and Access Management (IAM) systems. A sudden increase in authentication delay can indicate several problems, such as performance degradation,…

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 -

Environmental Engineering

Multi-snapshot inversion of interferometric synthetic aperture microwave radiometry observations for remote sensing

The Soil Moisture and Ocean Salinity (SMOS) satellite [3] produces images of L-band brightness temperature using interferometry. The brightness temperatures that gave rise to a set of observed visibilities are inferred by solving an inverse problem…

Max Dunitz, Eric Anterrieu, Ali Khazaal, Nemesio Rodriguez-Fernandez, Yann Kerr, Jean-Michel Morel, Miguel Colom

2023 IEEE Conference on Antenna Measurements and Applications (CAMA 2023) -