Machine Learning for olive phenology prediction and base temperature optimisation. - Noelia Oses; Izar Azpiroz; Marco Quartulli; Igor G. Olaizola; Susanna Marchi; Diego Guidotti (GIoTS, 2020)

An effective numerical strategy for retrieving all characteristic parameters of an elastic scatterer from its FFP measurements. - Izar Azpiroz; Hélène Barucq; Julien Diaz; Rabia Djellouli (J. Comput. Phys., 2020)

Analysis of Copernicus' ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction. - Noelia Oses; Izar Azpiroz; Susanna Marchi; Diego Guidotti; Marco Quartulli; Igor G. Olaizola (Sensors, 2020)

Geo-Imagery Management and Statistical Processing in a Regional Context Using Open Data Cube. - Urtzi Otamendi; Izar Azpiroz; Marco Quartulli; Igor G. Olaizola; Francisco J. Perez; David Alda; Xabier Garitano (IGARSS, 2021)

Comparison of Climate Reanalysis and Remote-Sensing Data for Predicting Olive Phenology through Machine-Learning Methods. - Izar Azpiroz; Noelia Oses; Marco Quartulli; Igor G. Olaizola; Diego Guidotti; Susanna Marchi (Remote. Sens., 2021)

Methodology for Online Phenology Prediction Service Creation. - Izar Azpiroz; Marco Quartulli; Igor G. Olaizola (IGARSS, 2022)

Integrating Pre-Processing Pipelines in ODC Based Framework. - Urtzi Otamendi; Izar Azpiroz; Marco Quartulli; Igor G. Olaizola (IGARSS, 2022)

Estimating NDVI from SAR Images Using Conditional Generative Adversarial Networks. - Pietro Soglia; Paula Gonzalez; Izar Azpiroz; Urtzi Otamendi; Marco Quartulli; Sergio Salata (IGARSS, 2023)

Deep Learning Models to Estimate High Resolution NDVI for Multiple Augmentation Factors. - Mikel Zabala; Izar Azpiroz; Paula Gonzalez; Mikel Maiza (COINS, 2024)

An Autoencoder-Based Approach for Anomaly Detection of Machining Processes Using Acoustic Emission Signals. - Antonio Nappa; Juan Luis Ferrando Chacón; Izar Azpiroz; Pedro José Arrazola (EANN, 2024)

Adaptation of Diffusion Models for Remote Sensing Imagery. - Adriano Ettari; Antonio Nappa; Marco Quartulli; Izar Azpiroz; Giuseppe Longo (IGARSS, 2024)

Pixel-Level Quality Indicator for Image Data Annotation. - Mikel de la Fuente; Paula Gonzalez; Izar Azpiroz; Mikel Maiza; Nagore Barrena; Marco Quartulli (IGARSS, 2024)

Averaging Strategy to Improve SAR-To-NDVI Estimations in A Region of Interest. - Mikel Zabala; Pietro Soglia; Paula Gonzalez; Izar Azpiroz; Mikel Maiza; Sergio Salata (IGARSS, 2024)

Effect of Multitasking on Cognitive Functions, Performance, and Bio-Signals in First Responders. - Blanca Larraga-García; Verónica Ruiz Bejerano; Patricia Blanco; Sara Navarro; Marta Álvarez; Xabier Oregui; Izar Azpiroz; Christos Chatzigeorgiou; Igor García Olaizola; Federico Álvarez; Álvaro Gutiérrez (IEEE Access, 2024)

Probabilistic Bayesian Neural Networks for olive phenology prediction in precision agriculture. - Antonio Nappa; Marco Quartulli; Izar Azpiroz; Susanna Marchi; Diego Guidotti; Michele Staiano; Roberta Siciliano (Ecol. Informatics, 2024)

AI-Based Water Quality Monitoring Module for the Segura Hydrographic Confederation Platform. - Izar Azpiroz; David Velásquez 001; Breno Da Costa Paulo; Iker Landa del Barrio; Juan Odriozola; Mikel Maiza (EANN (2), 2025)

Privacy-Preserving and Personalized AI Modules for E-Commerce Platforms. - Arantzazu Florez Tapia; Izar Azpiroz; Ane M. Florez-Tapia; Amaia Gil; Elena Zotova; Roger Solsona; Igor García Olaizola; Marco Quartulli (EANN (2), 2025)