A Multi-phase Iterative Approach for Anomaly Detection and Its Agnostic Evaluation. - Kévin Ducharlet; Louise Travé-Massuyès; Marie-Véronique Le Lann; Youssef Miloudi (IEA/AIE, 2020)

A Federated Learning Framework for IoT: Application to Industry 4.0. - Hamza Safri; Mohamed Mehdi Kandi; Youssef Miloudi; Christophe Bortolaso; Denis Trystram; Frédéric Desprez (CCGRID, 2022)

Towards Developing a Global Federated Learning Platform for IoT. - Hamza Safri; Mohamed Mehdi Kandi; Youssef Miloudi; Christophe Bortolaso; Denis Trystram; Frédéric Desprez (ICDCS, 2022)

BL.MIXEDR: Augmenting Traditional Maintenance Procedures to Better Exploit the Capabilities of Head-Worn AR. - Houssem Saidi; Laetitia Carreteros; Stéphanie Rey; Laurent Truscello; Youssef Miloudi (PETRA, 2022)

BL.Research at SemEval-2022 Task 1: Deep networks for Reverse Dictionary using embeddings and LSTM autoencoders. - Nihed Bendahman; Julien Breton; Lina Nicolaieff; Mokhtar Boumedyen Billami; Christophe Bortolaso; Youssef Miloudi (SemEval@NAACL, 2022)

BL.Research at SemEval-2022 Task 8: Using various Semantic Information to evaluate document-level Semantic Textual Similarity. - Sebastien Dufour; Mohamed Mehdi Kandi; Karim Boutamine; Camille Gosset; Mokhtar Boumedyen Billami; Christophe Bortolaso; Youssef Miloudi (SemEval@NAACL, 2022)

Information visualisation for industrial process monitoring. - Elodie Toufaili; Christophe Bortolaso; Youssef Miloudi; Jean-Marc Petit; Vasile-Marian Scuturici (IDEAS, 2023)

Leveraging the Christoffel function for outlier detection in data streams. - Kévin Ducharlet; Louise Travé-Massuyès; Jean-Bernard Lasserre; Marie-Véronique Le Lann; Youssef Miloudi (Int. J. Data Sci. Anal., 2025)