Data-Driven Analysis of Friction Stir Welding for Aerospace Applications. - Marta Camps; Maddi Etxegarai; Francesc Bonada; William Lacheny; Dorick Ballat-Durand; Sylvain Pauleau; Xavier Domingo (CCIA, 2021)

Characterisation of Single-Phase Fluid-Flow Heterogeneity Due to Localised Deformation in a Porous Rock Using Rapid Neutron Tomography. - Maddi Etxegarai; Erika Tudisco; Alessandro Tengattini; Gioacchino Viggiani; Nikolay Kardjilov; Stephen A. Hall (J. Imaging, 2021)

Remotely Sensed Tree Characterization in Urban Areas: A Review. - Luisa Velasquez-Camacho; Adrián Cardil; Midhun Mohan; Maddi Etxegarai; Gabriel Anzaldi; Sergio de-Miguel (Remote. Sens., 2021)

Feature Engineering and Machine Learning Predictive Quality Models for Friction Stir Welding Defect Prediction in Aerospace Applications. - Marta Camps; Maddi Etxegarai; Francesc Bonada; William Lacheny; Sylvain Pauleau; Xavier Domingo (CCIA, 2022)

Implementing Deep Learning algorithms for urban tree detection and geolocation with high-resolution aerial, satellite, and ground-level images. - Luisa Velasquez-Camacho; Maddi Etxegarai; Sergio de-Miguel (Comput. Environ. Urban Syst., 2023)

Predictive Maintenance in the Food Industry: A Case Study Using Vibration Sensors and Machine Learning Techniques. - Francisco Fernández-Peláez; Maddi Etxegarai; Vanessa Moreno; Lluís Echeverria; Gonzalo Campins; Carlos López; Rubén Rojo; Valentín González (CCIA, 2024)

Assessing urban forest biodiversity through automatic taxonomic identification of street trees from citizen science applications and remote-sensing imagery. - Luisa Velasquez-Camacho; Esko Merontausta; Maddi Etxegarai; Sergio de-Miguel (Int. J. Appl. Earth Obs. Geoinformation, 2024)