Distributed Archive and Web Services for Radio Stations. - András Micsik; Thomas Hassan; László Kovács (WWW (Posters), 2003)

Semantic HMC for big data analysis. - Thomas Hassan; Rafael Peixoto; Christophe Cruz; Aurélie Bertaux; Nuno Silva 001 (IEEE BigData, 2014)

Semantic HMC: A Predictive Model Using Multi-label Classification for Big Data. - Rafael Peixoto; Thomas Hassan; Christophe Cruz; Aurélie Bertaux; Nuno Silva 001 (TrustCom/BigDataSE/ISPA (2), 2015)

An unsupervised classification process for large datasets using web reasoning. - Rafael Peixoto; Thomas Hassan; Christophe Cruz; Aurélie Bertaux; Nuno Silva 001 (SBD@SIGMOD, 2016)

Hierarchical Multi-Label Classification Using Web Reasoning for Large Datasets. - Rafael Peixoto; Thomas Hassan; Christophe Cruz; Aurélie Bertaux; Nuno Silva 001 (Open J. Semantic Web, 2016)

Ontology-based approach for unsupervised and adaptive focused crawling. - Thomas Hassan; Christophe Cruz; Aurélie Bertaux (SBD@SIGMOD, 2017)

A semantic event approach to enrich device-free indoor localization data. - Thomas Hassan; Fano Ramparany; Grégoire Lefebvre (GOODTECHS, 2018)

Articulating Data and Control Planes for the Composition and Synchronization of Digital Twins. - Dan Freeman Mahoro; Thomas Ledoux; Thomas Hassan; Thierry Coupaye (Midd4DT@Middleware, 2023)

Automating Building Regulations Conformance Checking Using a Semantic Approach - Preliminary Results. - Fano Ramparany; Marie Bernert; Thomas Hassan (SemIIM, 2023)

Smart City Logistics Enabled by Digital Twins and Semantic Technologies. - Yu Liu 082; Shenle Pan; Pauline Folz; Thomas Hassan; Philippe Raipin Parvédy; Eric Ballot (SOHOMA, 2023)

A Study on Knowledge Graph Embeddings and Graph Neural Networks for Web Of Things. - Rohith Teja Mittakola; Thomas Hassan (CoRR, 2023)

RTGEN++: A Relative Temporal Graph GENerator. - Maria Massri; Zoltán Miklós 001; Philippe Raipin Parvédy; Pierre Meye; Amaury Bouchra Pilet; Thomas Hassan (Future Gener. Comput. Syst., 2023)

Empowering Digital Twin for Future Networks with Graph Neural Networks: Overview, Enabling Technologies, Challenges, and Opportunities. - Duc-Thinh Ngo; Ons Aouedi; Kandaraj Piamrat; Thomas Hassan; Philippe Raipin Parvédy (Future Internet, 2023)

FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning. - Duc-Thinh Ngo; Kandaraj Piamrat; Ons Aouedi; Thomas Hassan; Philippe Raipin Parvédy (PIMRC, 2024)

Rethinking traffic prediction in Mobile Network Digital Twins: A flexible inductive graph-based learning model for data-scarce scenarios. - Duc-Thinh Ngo; Ons Aouedi; Kandaraj Piamrat; Thomas Hassan; Philippe Raipin Parvédy (Comput. Networks, 2025)

Frugal AI: Introduction, Concepts, Development and Open Questions. - Ludovic Arga; François Bélorgey; Arnaud Braud; Romain Carbou; Nathalie Charbonniaud; Catherine Colomes; Lionel Delphin-Poulat; David Excoffier; Christel Fauché; Thomas George; Frédéric Guyard; Thomas Hassan; et al. (SIGKDD Explor., 2025)