Open-source software tools for measuring resources consumption and DASH metrics. - Mario Montagud; Juan Antonio De Rus; Rafael Fayos-Jordan; Miguel García-Pineda; Jaume Segura-Garcia (MMSys, 2020)

Towards an Immersive and Accessible Virtual Reconstruction of Theaters from the Early Modern: Bringing Back Cultural Heritage from the Past. - Mario Montagud; Jaume Segura-Garcia; Juan Antonio De Rus; Rafael Fayos-Jordan (IMX, 2020)

AI-assisted affective computing and spatial audio for interactive multimodal virtual environments: research proposal. - Juan Antonio De Rus; Mario Montagud; Maximo Cobos (MMSys, 2022)

Towards the Creation of Scalable Tools for automatic Quality of Experience Evaluation and a Multi-Purpose Dataset for Affective Computing. - Juan Antonio De Rus Arance; Mario Montagud; Maximo Cobos (IMX, 2023)

Towards the Creation of Tools for Automatic Quality of Experience Evaluation with Focus on Interactive Virtual Environments. - Juan Antonio De Rus Arance; Mario Montagud; Maximo Cobos (IMX, 2023)

Evaluation of Real-Time Acoustic Event Detection Models in Driving Scenarios. - Carlos Castorena; Jesús López Ballester; Juan Antonio De Rus; Francesc J. Ferri; Maximo Cobos (EATIS, 2024)

Edge computing for driving safety: evaluating deep learning models for cost-effective sound event detection. - Carlos Castorena; Jesús López Ballester; Juan Antonio De Rus; Maximo Cobos; Francesc J. Ferri (J. Supercomput., 2025)

A Data-Driven Exploration of Elevation Cues in HRTFs: An Explainable AI Perspective Across Multiple Datasets. - Juan Antonio De Rus; Mario Montagud; Jesús López Ballester; Francesc J. Ferri; Maximo Cobos (CoRR, 2025)