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Izar Azpiroz
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2020 – today
- 2024
- [j4]Antonio Nappa, Marco Quartulli, Izar Azpiroz, Susanna Marchi, Diego Guidotti, Michele Staiano, Roberta Siciliano:
Probabilistic Bayesian Neural Networks for olive phenology prediction in precision agriculture. Ecol. Informatics 82: 102723 (2024) - [c10]Mikel Zabala, Izar Azpiroz, Paula Gonzalez, Mikel Maiza:
Deep Learning Models to Estimate High Resolution NDVI for Multiple Augmentation Factors. COINS 2024: 1-6 - [c9]Antonio Nappa, Juan Luis Ferrando Chacón, Izar Azpiroz, Pedro José Arrazola:
An Autoencoder-Based Approach for Anomaly Detection of Machining Processes Using Acoustic Emission Signals. EANN 2024: 28-40 - [c8]Mikel Zabala, Pietro Soglia, Paula Gonzalez, Izar Azpiroz, Mikel Maiza, Sergio Salata:
Averaging Strategy to Improve SAR-To-NDVI Estimations in A Region of Interest. IGARSS 2024: 7142-7145 - [c7]Adriano Ettari, Antonio Nappa, Marco Quartulli, Izar Azpiroz, Giuseppe Longo:
Adaptation of Diffusion Models for Remote Sensing Imagery. IGARSS 2024: 7240-7243 - [c6]Mikel de la Fuente, Paula Gonzalez, Izar Azpiroz, Mikel Maiza, Nagore Barrena, Marco Quartulli:
Pixel-Level Quality Indicator for Image Data Annotation. IGARSS 2024: 7492-7496 - 2023
- [c5]Pietro Soglia, Paula Gonzalez, Izar Azpiroz, Urtzi Otamendi, Marco Quartulli, Sergio Salata:
Estimating NDVI from SAR Images Using Conditional Generative Adversarial Networks. IGARSS 2023: 5222-5225 - 2022
- [c4]Urtzi Otamendi, Izar Azpiroz, Marco Quartulli, Igor G. Olaizola:
Integrating Pre-Processing Pipelines in ODC Based Framework. IGARSS 2022: 4094-4097 - [c3]Izar Azpiroz, Marco Quartulli, Igor G. Olaizola:
Methodology for Online Phenology Prediction Service Creation. IGARSS 2022: 5917-5920 - [i2]Urtzi Otamendi, Izar Azpiroz, Marco Quartulli, Igor G. Olaizola, Francisco J. Perez, David Alda, Xabier Garitano:
Geo-imagery management and statistical processing in a regional context using Open Data Cube. CoRR abs/2210.01470 (2022) - [i1]Urtzi Otamendi, Izar Azpiroz, Marco Quartulli, Igor G. Olaizola:
Integrating pre-processing pipelines in ODC based framework. CoRR abs/2210.01528 (2022) - 2021
- [j3]Izar Azpiroz, Noelia Oses, Marco Quartulli, Igor G. Olaizola, Diego Guidotti, Susanna Marchi:
Comparison of Climate Reanalysis and Remote-Sensing Data for Predicting Olive Phenology through Machine-Learning Methods. Remote. Sens. 13(6): 1224 (2021) - [c2]Urtzi Otamendi, Izar Azpiroz, Marco Quartulli, Igor G. Olaizola, Francisco J. Perez, David Alda, Xabier Garitano:
Geo-Imagery Management and Statistical Processing in a Regional Context Using Open Data Cube. IGARSS 2021: 5676-5679 - 2020
- [j2]Izar Azpiroz, Hélène Barucq, Julien Diaz, Rabia Djellouli:
An effective numerical strategy for retrieving all characteristic parameters of an elastic scatterer from its FFP measurements. J. Comput. Phys. 419: 109683 (2020) - [j1]Noelia Oses, Izar Azpiroz, Susanna Marchi, Diego Guidotti, Marco Quartulli, Igor G. Olaizola:
Analysis of Copernicus' ERA5 Climate Reanalysis Data as a Replacement for Weather Station Temperature Measurements in Machine Learning Models for Olive Phenology Phase Prediction. Sensors 20(21): 6381 (2020) - [c1]Noelia Oses, Izar Azpiroz, Marco Quartulli, Igor G. Olaizola, Susanna Marchi, Diego Guidotti:
Machine Learning for olive phenology prediction and base temperature optimisation. GIoTS 2020: 1-6
Coauthor Index
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last updated on 2024-09-28 02:20 CEST by the dblp team
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