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Daniel Maestro-Watson

Daniel Maestro

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affiliation: Mondragon University, Electronics and Computer Science Department, Arrasate, Spain

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Journal Articles

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2021
[j3]
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  - journals/sensors/BalzateguiEM21
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  - https://dblp.org/rec/journals/sensors/BalzateguiEM21
Julen Balzategui, Luka Eciolaza, Daniel Maestro-Watson:
Anomaly Detection and Automatic Labeling for Solar Cell Quality Inspection Based on Generative Adversarial Network. Sensors 21(13): 4361 (2021)
[j2]
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  - journals/sensors/AlonsoMIAG21
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Marcos Alonso Nieto, Daniel Maestro, Alberto Izaguirre, Imanol Andonegui, Manuel Graña:
Depth Data Denoising in Optical Laser Based Sensors for Metal Sheet Flatness Measurement: A Deep Learning Approach. Sensors 21(21): 7024 (2021)
2020
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  - journals/jei/Maestro-WatsonB20
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Daniel Maestro-Watson, Julen Balzategui, Luka Eciolaza, Nestor Arana-Arexolaleiba:
Deflectometric data segmentation for surface inspection: a fully convolutional neural network approach. J. Electronic Imaging 29(4): 041007 (2020)

Conference and Workshop Papers

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2018
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  - conf/softcomp/Maestro-WatsonB18
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Daniel Maestro-Watson, Julen Balzategui, Luka Eciolaza, Nestor Arana-Arexolaleiba:
Deep Learning for Deflectometric Inspection of Specular Surfaces. SOCO-CISIS-ICEUTE 2018: 280-289

Informal and Other Publications

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2021
[i1]
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  - journals/corr/abs-2103-03518
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Julen Balzategui, Luka Eciolaza, Daniel Maestro-Watson:
Anomaly detection and automatic labeling for solar cell quality inspection based on Generative Adversarial Network. CoRR abs/2103.03518 (2021)

Coauthor Index

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