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Thamer Mecharnia
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2020 – today
- 2024
- [i1]Hansi Hettiarachchi, Amna Dridi, Mohamed Medhat Gaber, Pouyan Parsafard, Nicoleta Bocaneala, Katja Breitenfelder, Gonçal Costa Jutglar, Maria M. Hedblom, Mihaela Juganaru-Mathieu, Thamer Mecharnia, Sumee Park, He Tan, Abdel-Rahman H. Tawil, Edlira Vakaj:
CODE-ACCORD: A Corpus of Building Regulatory Data for Rule Generation towards Automatic Compliance Checking. CoRR abs/2403.02231 (2024) - 2023
- [c7]Chemseddine Nabti, Thamer Mecharnia, Salah Eddine Boukhetta, Karima Amrouche, Hamida Seba:
A Neighborhood Encoding for Subgraph Queries in Graph Databases. DEXA (1) 2023: 377-391 - [c6]Maroua Masmoudi, Thamer Mecharnia, Redouane Bouhamoum, Hajer Baazaoui Zghal, Chirine Ghedira, Vlado Stankovski, Dan Vodislav:
A semantic blockchain-based system for drug traceability. IDEAS 2023: 115-118 - [c5]Isaac Fatokun, Arun Raveendran Nair, Thamer Mecharnia, Maxime Lefrançois, Victor Charpenay, Fabien Badeig, Antoine Zimmermann:
Modular knowledge integration for smart building digital twins. LDAC 2023: 123-138 - [d1]Thamer Mecharnia:
DATA_AsbestosReveal. IEEE DataPort, 2023 - 2022
- [b1]Thamer Mecharnia:
Approches sémantiques pour la prédiction de présence d'amiante dans les bâtiments : une approche probabiliste et une approche à base de règles. (Semantic approaches for predicting the presence of asbestos in buildings: a probabilistic approach and a rule-based approach). University of Paris-Saclay, France, 2022 - 2021
- [c4]Thamer Mecharnia, Lydia Chibout Khelifa, Fayçal Hamdi, Nathalie Pernelle, Céline Rouveirol:
Découverte de règles contextuelles pour prédire la présence d'amiante dans les bâtiments. IC 2021: 81-88 - [c3]Thamer Mecharnia, Nathalie Pernelle, Céline Rouveirol, Fayçal Hamdi, Lydia Chibout Khelifa:
Mining Contextual Rules to Predict Asbestos in Buildings. ICCS 2021: 170-184
2010 – 2019
- 2019
- [c2]Thamer Mecharnia, Nathalie Pernelle, Lydia Chibout Khelifa, Fayçal Hamdi:
Approche de prédiction de présence d'amiante dans les bâtiments basée sur l'exploitation des descriptions temporelles incomplètes de produits commercialisés. IC 2019: 144-157 - [c1]Thamer Mecharnia, Lydia Chibout Khelifa, Nathalie Pernelle, Fayçal Hamdi:
An Approach Toward a Prediction of the Presence of Asbestos in Buildings Based on Incomplete Temporal Descriptions of Marketed Products. K-CAP 2019: 239-242
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last updated on 2024-06-20 00:17 CEST by the dblp team
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