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Mikel Maiza
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Journal Articles
- 2022
- [j2]David Velásquez, Enrique Pérez, Xabier Oregui, Arkaitz Artetxe, Jorge Manteca, Jordi Escayola Mansilla, Mauricio Toro, Mikel Maiza, Basilio Sierra:
A Hybrid Machine-Learning Ensemble for Anomaly Detection in Real-Time Industry 4.0 Systems. IEEE Access 10: 72024-72036 (2022) - 2021
- [j1]David Velásquez, Alejandro Sánchez, Sebastián Sarmiento, Camilo Velásquez, Mauricio Toro, Edwin Montoya, Helmuth Trefftz, Mikel Maiza, Basilio Sierra:
A Cyber-Physical Data Collection System Integrating Remote Sensing and Wireless Sensor Networks for Coffee Leaf Rust Diagnosis. Sensors 21(16): 5474 (2021)
Conference and Workshop Papers
- 2024
- [c3]Mikel Zabala, Izar Azpiroz, Paula Gonzalez, Mikel Maiza:
Deep Learning Models to Estimate High Resolution NDVI for Multiple Augmentation Factors. COINS 2024: 1-6 - [c2]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 - [c1]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
Data and Artifacts
- 2020
- [d1]David Velásquez, Alejandro Sánchez, Sebastián Sarmiento, Camilo Velásquez, Mauricio Toro, Edwin Montoya, Mikel Maiza, Basilio Sierra, Helmuth Trefftz:
Coffee Leaf Rust Dataset. IEEE DataPort, 2020
Informal and Other Publications
- 2022
- [i1]Iñigo Martinez, Urtzi Otamendi, Igor G. Olaizola, Roger Solsona, Mikel Maiza, Elisabeth Viles, Arturo Fernández, Ignacio Arzua:
A novel method for error analysis in radiation thermometry with application to industrial furnaces. CoRR abs/2201.04069 (2022)
Coauthor Index
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last updated on 2024-10-07 22:05 CEST by the dblp team
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