Khalil Chebil

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Verified

Khalil verified their affiliation via an institutional email.

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• Phd
• Assistant professor at National Institute of Applied Science and Technology

Accurate biomedical knowledge representation in Wikidata is essential for research and clinical applications, yet inconsistencies and missing relations undermine its reliability. We introduce a hybrid AI-human pipeline that leverages multiple language models (Llama-3.2-1B, Phi-3.5-mini, and ChatGPT-4o) alongside expert opinions to identify flaws in...

This study presents a comprehensive framework to enhance Wikidata as an open and collaborative knowledge graph by integrating Open Biological and Biomedical Ontologies (OBO) and Medical Subject Headings (MeSH) keywords from PubMed publications. The primary data sources include OBO ontologies and MeSH keywords, which were collected and classified us...

Dans cette présentation, on explore l'utilisation de Wikidata dans le domaine de la santé. Wikidata, en raison de sa flexibilité et de son modèle en triplets, offre un potentiel considérable pour améliorer la gestion des données médicales. Financé par la Fondation Wikimédia, ce projet vise à enrichir Wikidata avec des données biomédicales essentiel...

In these presentation slides, we provide an overview of research and development efforts related to Wikidata, a large-scale open and collaborative FAIR knowledge graph. We begin by analyzing the research productivity related to Wikidata by analyzing Scopus, a controlled bibliographic database maintained by Elsevier. Then, we continue by providing a...

Crowd management and analysis (CMA) systems have gained a lot of interest in the vulgarization of unmanned aerial vehicles (UAVs) use. Crowd tracking using UAVs is among the most important services provided by a CMA. In this paper, we studied the periodic crowd-tracking (PCT) problem. It consists in using UAVs to follow-up crowds, during the life-c...

The multiperiodic crowd tracking (MPCT) problem is an extension of the periodic crowd tracking (PCT) problem, recently addressed in the literature and solved using an iterative solver called PCTs solver. For a given crowded event, the MPCT consists of follow-up crowds, using unmanned aerial vehicles (UAVs) during different periods in a life-cycle o...

The knapsack problem is one of the most investigated and applicable combinatorial optimization problems. In this paper we consider a generalized problem called the Multiple Knapsack Problem with Setup (MKPS) in which a set of families of items and a set of knapsacks are available. Each item is characterized by a knapsack-dependent profit and each f...

Knapsack problems with Setups (KPS) have received increasing attention in recent research for their potential use in the modeling of various concrete industrial and financial problems, such as order acceptance and production scheduling. The KPS problem consists in selecting appropriate items, from a set of disjoint families of items, to enter a kna...

The Knapsack Problem with Setup (KPS) is a generalization of the classical Knapsack problem (KP), where items are divided into families. An individual item can be selected only if a setup is incurred for the family to which it belongs. This paper provides a dynamic programming (DP) algorithm for the KPS that produces optimal solutions in pseudo-pol...

This paper proposes a new hybrid tree search algorithm to the Multidimensional Knapsack Problem MKP that effectively combines tabu search with a dynamic and adaptive neighborhood search procedure. The authors' heuristic, based on a filter-and-fan F&F procedure, uses a Linear Programming-based Heuristic to generate a starting solution to the F&F pro...