Machine Learning

Zainab Rubaidi PhD thesis defense

Title: Intelligent Data Augmentation Techniques Towards Multidomains Fraud Detection through Data Mining.

Supervisors: Dr. Mohamed Ben Aouicha & Dr. Boulbaba Ben Ammar

Defense Date: 28 December 2024

Last updated on Jan 14, 2025 2 min read
Ameni Kallel PhD thesis defense

Title: Une approche de déploiement des processus métier à l’ère IoT dans des environnements hybrides de fédération (Fog-Cloud computing).

Supervisors: Dr. Mahdi Khemakhem & Dr. Molka Rekik

Defense Date: 01 March 2024

Last updated on Apr 25, 2024 2 min read
Vehicle Insurance Fraud Detection Based on Hybrid Approach for Data Augmentation
Fraud can take on various forms, including financial fraud, identity theft, and insurance fraud, among others. With the growing use of …
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Monitor the Strength Status of Buildings Using Hybrid Machine Learning Technique
Standard inspections of buildings are not always possible because of human flaws in prediction. Hence, we need more stable, scalable, …
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Fraud Detection Using Large-scale Imbalance Dataset
In the context of machine learning, an imbalanced classification problem states to a dataset in which the classes are not evenly …
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Call for contribution to the research topic: Linked Open Bibliographic Data for Real-time Research Assessment
Currently, large databases of open bibliographic metadata have been created and made available online in the age of open science. These resources are easily findable, accessible, interoperable, and reusable thanks to their online hosting and their representation as RDF (Resource Description Framework) knowledge graphs, and could be easily aligned together thanks to a set of unique identifiers such as ORCID ID, Wikidata ID, and DOI.
Last updated on Nov 23, 2024 2 min read
MeSH2Matrix: Machine learning-driven biomedical relation classification based on the MeSH keywords of PubMed scholarly publications
Biomedical relation classification has been significantly improved by the application of advanced machine learning techniques on the …
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Prediction of COVID-19 Active Cases Using Polynomial Regression and ARIMA Models.
The fast spread of Covid-19 or the novel Coronavirus in the world has influenced it and caused a huge number of deaths. This remains a …
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Hybrid-based framework for COVID-19 prediction via federated machine learning models
The COronaVIrus Disease 2019 (COVID-19) pandemic is unfortunately highly transmissible across the people. In order to detect and track …
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