| Study of the performance and scalability of federated learning for medical imaging with intermittent clients J Sáinz-Pardo Díaz, Á López García Neurocomputing, 2022 | 36* | 2022 |
| A Python library to check the level of anonymity of a dataset J Sáinz-Pardo Díaz, Á López García Scientific Data 9 (1), 785, 2022 | 11 | 2022 |
| Forecasting COVID-19 spreading through an ensemble of classical and machine learning models: Spain’s case study I Heredia Cacha, J Sáinz-Pardo Díaz, M Castrillo, Á López García Scientific Reports 13 (1), 6750, 2023 | 9 | 2023 |
| Comparison of machine learning models applied on anonymized data with different techniques J Sáinz-Pardo Díaz, Á López García 2023 IEEE International Conference on Cyber Security and Resilience (CSR …, 2023 | 4 | 2023 |
| Deep learning based soft-sensor for continuous chlorophyll estimation on decentralized data J Sáinz-Pardo Díaz, M Castrillo, Á López García Water Research, 120726, 2023 | 3 | 2023 |
| A mathematical justification for metronomic chemotherapy in oncology LA Fernández, C Pola, J Sáinz-Pardo Mathematical Modelling of Natural Phenomena 17, 12, 2022 | 3 | 2022 |
| Predictive Maintenance and Spectral Analysis: From Fourier to Machine Learning J Sáinz-Pardo Díaz Consejo Superior de Investigaciones Científicas (España), 2021 | 1 | 2021 |
| An Open Source Python Library for Anonymizing Sensitive Data J Sáinz-Pardo Díaz, Á López García arXiv preprint arXiv:2408.10766, 2024 | | 2024 |
| ANJANA J Sáinz-Pardo Díaz, Á López García https://github. com/IFCA-Advanced-Computing/anjana/tree/v1. 0.0, 2024 | | 2024 |
| Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas J Sáinz-Pardo Díaz, M Castrillo, J Bartok, I Heredia Cachá, IM Ondík, ... arXiv preprint arXiv:2408.05761, 2024 | | 2024 |
| Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas J Sáinz-Pardo Díaz, M Castrillo, J Bartok, I Heredia Cachá, I Malkin Ondík, ... arXiv e-prints, arXiv: 2408.05761, 2024 | | 2024 |
| Making Federated Learning Accessible to Scientists: The AI4EOSC Approach J Sáinz-Pardo Díaz, A Heredia Canales, I Heredia Cachá, V Tran, ... Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia …, 2024 | | 2024 |
| Comparison of machine learning models applied on anonymized data with different techniques J Sáinz-Pardo Díaz, Á López García arXiv preprint arXiv:2305.07415, 2023 | | 2023 |
| pyCANON J Sáinz-Pardo Díaz, Á López García DIGITAL. CSIC, 2022 | | 2022 |
| Study of the performance and scalability of federated learning for medical imaging with intermittent clients J Sáinz-Pardo Díaz, Á López García arXiv e-prints, arXiv: 2207.08581, 2022 | | 2022 |
| Forecasting COVID-19 spreading trough an ensemble of classical and machine learning models: Spain's case study I Heredia Cacha, J Sainz-Pardo Díaz, M Castrillo Melguizo, ... arXiv e-prints, arXiv: 2207.05753, 2022 | | 2022 |
| Mantenimiento predictivo y análisis espectral: de Fourier al aprendizaje automático J Sáinz-Pardo Díaz | | 2021 |
| Optimization Problems Associated with Differential Equation Models for Chemotherapy J Sáinz-Pardo Díaz | | 2020 |
| IEEE COINS 2024 Committee A Singh, P Barnaghi, G Merrett, E Kanjo, R Shafik, K Chakrabarty, ... | | |
Álvaro López García (ORCID:0000-00...IFCA (CSIC-UC) (RoR:040kx1j83)在 csic.es 的电子邮件经过验证
