Deep Analysis of a Basic Traffic Model. - Diego Uribe; Luis Lugo; Enrique Cuan (Res. Comput. Sci., 2016)

Segmenting Search Query Logs by Learning to Detect Search Task Boundaries. - Luis Lugo; José G. Moreno 001; Gilles Hubert 001 (SIGIR, 2020)

A Multilingual Approach for Unsupervised Search Task Identification. - Luis Lugo; José G. Moreno 001; Gilles Hubert 001 (SIGIR, 2020)

Extraction des tâches de recherche dans des journaux de requêtes à l'aide d'une architecture de regroupement profond récurrent. - Luis Lugo; José G. Moreno 001; Gilles Hubert 001 (CORIA, 2021)

Extracting Search Tasks from Query Logs Using a Recurrent Deep Clustering Architecture. - Luis Lugo; José G. Moreno 001; Gilles Hubert 001 (ECIR (1), 2021)

Modeling User Search Tasks with a Language-Agnostic Unsupervised Approach. - Luis Lugo; José G. Moreno 001; Gilles Hubert 001 (ECIR (1), 2021)

A Recurrent Neural Network approach for whole genome bacteria identification. - Luis Lugo; Emiliano Barreto-Hernandez (Appl. Artif. Intell., 2021)

Towards efficient self-supervised representation learning in speech processing. - Luis Lugo; Valentin Vielzeuf (EACL (Findings), 2024)

Sustainable self-supervised learning for speech representations. - Luis Lugo; Valentin Vielzeuf (CoRR, 2024)

Efficiency-oriented approaches for self-supervised speech representation learning. - Luis Lugo; Valentin Vielzeuf (Int. J. Speech Technol., 2024)