| Defect detection on polycrystalline solar cells using electroluminescence and fully convolutional neural networks J Balzategui, L Eciolaza, N Arana-Arexolaleiba 2020 IEEE/SICE International Symposium on System Integration (SII), 949-953, 2020 | 40 | 2020 |
| Semi-automatic quality inspection of solar cell based on Convolutional Neural Networks J Balzategui, L Eciolaza, N Arana-Arexolaleiba, J Altube, JP Aguerre, ... 2019 24th IEEE International Conference on Emerging Technologies and Factory …, 2019 | 38 | 2019 |
| Anomaly detection and automatic labeling for solar cell quality inspection based on generative adversarial network J Balzategui, L Eciolaza, D Maestro-Watson Sensors 21 (13), 4361, 2021 | 35 | 2021 |
| Deep learning for deflectometric inspection of specular surfaces D Maestro-Watson, J Balzategui, L Eciolaza, N Arana-Arexolaleiba International Joint Conference SOCO’18-CISIS’18-ICEUTE’18: San Sebastián …, 2019 | 14 | 2019 |
| Deflectometric data segmentation for surface inspection: a fully convolutional neural network approach D Maestro-Watson, J Balzategui, L Eciolaza, N Arana-Arexolaleiba Journal of Electronic Imaging 29 (4), 041007-041007, 2020 | 11 | 2020 |
| Deflectometric data segmentation based on fully convolutional neural networks D Maestro-Watson, J Balzategui, L Eciolaza, N Arana-Arexolaleiba Fourteenth International Conference on Quality Control by Artificial Vision …, 2019 | 7 | 2019 |
| Few-shot incremental learning in the context of solar cell quality inspection J Balzategui, L Eciolaza Expert Systems with Applications 228, 120382, 2023 | 4 | 2023 |
| Deep Learning Based Methodology For The Development Of Industrial Quality Inspection Systems J Balzategui Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022 | | 2022 |
