Judith Sáinz-Pardo Díaz

According to our database, Judith Sáinz-Pardo Díaz authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

An Open Source Python Library for Anonymizing Sensitive Data.

Judith Sáinz-Pardo Díaz, Álvaro López García

CoRR, 2024

Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas.

Judith Sáinz-Pardo Díaz, María Castrillo, Juraj Bartok, Ignacio Heredia Cacha, Irina Malkin Ondík, Ivan Martynovskyi, Khadijeh Alibabaei, Lisana Berberi, Valentin Kozlov, Álvaro López García

CoRR, 2024

Making Federated Learning Accessible to Scientists: The AI4EOSC Approach.

Judith Sáinz-Pardo Díaz, Andrés Heredia Canales, Ignacio Heredia Cacha, Viet D. Tran, Giang T. Nguyen, Khadijeh Alibabaei, Marta Obregón Ruiz, Susana Rebolledo Ruiz, Álvaro López García

Proceedings of the ACM Workshop on Information Hiding and Multimedia Security, 2024

2023

Study of the performance and scalability of federated learning for medical imaging with intermittent clients.

Judith Sáinz-Pardo Díaz, Álvaro López García

Neurocomputing, 2023

Comparison of machine learning models applied on anonymized data with different techniques.

Judith Sáinz-Pardo Díaz, Álvaro López García

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2023

2022

pyCANON: A Python library to check the level of anonymity of a dataset.

Judith Sáinz-Pardo Díaz, Álvaro López García

CoRR, 2022

Forecasting COVID-19 spreading trough an ensemble of classical and machine learning models: Spain's case study.

Ignacio Heredia Cacha, Judith Sáinz-Pardo Díaz, María Castrillo Melguizo, Álvaro López García

CoRR, 2022