Saul Calderon-Ramirez
发表
Rodrigo Chacón-Quesada,
Saul Calderon-Ramirez,
F. Siles,
2016,
2016 IEEE 36th Central American and Panama Convention (CONCAPAN XXXVI).
Saúl Calderón Ramírez,
Saul Calderon-Ramirez,
Isaac Benavides-Mata,
2022,
2022 IEEE 4th International Conference on BioInspired Processing (BIP).
Miguel A. Molina-Cabello,
D. Elizondo,
M. Jiménez-Navarro,
2021,
IEEE Access.
Miguel A. Molina-Cabello,
Simon Colreavy-Donnelly,
David Elizondo,
2020,
Applied Soft Computing.
Dealing with distribution mismatch in semi-supervised deep learning for COVID-19 detection using chest X-ray images: A novel approach using feature densities
pdf
Armaghan Moemeni,
Saul Calderon-Ramirez,
Shengxiang Yang,
2021,
Applied Soft Computing.
Suproteem K. Sarkar,
Matthew B. A. McDermott,
Ferath Kherif,
2020,
ML4H@NeurIPS.
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures
pdf
Shengxiang Yang,
Wojciech Samek,
Miguel A. Molina-Cabello,
2020,
ArXiv.
Consuelo Gonzalo-Martín,
Mario Lillo-Saavedra,
Angel Garcia-Pedrero,
2019,
Neural Computing and Applications.
Miguel A. Molina-Cabello,
Jordina Torrents-Barrena,
David Elizondo,
2020,
2020 25th International Conference on Pattern Recognition (ICPR).
F. Cabitza,
W. Samek,
Ferath Kherif,
2021,
Journal of Medical Systems.
Miguel A. Molina-Cabello,
Ezequiel López-Rubio,
Saúl Calderón-Ramírez,
2021,
2021 International Joint Conference on Neural Networks (IJCNN).
Miguel A. Molina-Cabello,
Saul Calderon-Ramirez,
Ezequiel López-Rubio,
2023,
Neural Computing and Applications.
Miguel A. Molina-Cabello,
Armaghan Moemeni,
Simon Colreavy-Donnelly,
2022
.