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Genetic Selection of Training Sets for (Not Only) Artificial Neural Networks.

, , , , and . BDAS, volume 928 of Communications in Computer and Information Science, page 194-206. Springer, (2018)

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Genetic Selection of Training Sets for (Not Only) Artificial Neural Networks., , , , and . BDAS, volume 928 of Communications in Computer and Information Science, page 194-206. Springer, (2018)Super-Resolution Reconstruction Using Deep Learning: Should We Go Deeper?, , , , , and . BDAS, volume 1018 of Communications in Computer and Information Science, page 204-216. Springer, (2019)Deep Learning for Multiple-Image Super-Resolution., , , , , and . CoRR, (2019)Data Augmentation via Image Registration., , , , , , , , , and 3 other author(s). ICIP, page 4250-4254. IEEE, (2019)Detecting anomalies in spacecraft telemetry using evolutionary thresholding and LSTMs., , , and . GECCO Companion, page 143-144. ACM, (2021)Multi-scale Voting Classifiers for Breast-Cancer Histology Images., , , and . INCoS, volume 23 of Lecture Notes on Data Engineering and Communications Technologies, page 526-534. Springer, (2018)Deep Learning for Multiple-Image Super-Resolution., , , , , and . IEEE Geosci. Remote. Sens. Lett., 17 (6): 1062-1066 (2020)Memetic Evolution of Classification Ensembles., , and . EvoApplications, volume 11454 of Lecture Notes in Computer Science, page 299-307. Springer, (2019)On training deep networks for satellite image super-resolution., , , , , and . CoRR, (2019)Anti-Blooming Clocking for Time-Delay Integration CCDs., , , , and . Sensors, 22 (19): 7520 (2022)