Judith Sáinz-Pardo Díaz

Orcid: 0000-0002-8387-578X

According to our database1, Judith Sáinz-Pardo Díaz authored at least 12 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2025
Machine learning operations landscape: platforms and tools.
Artif. Intell. Rev., June, 2025

Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks.
CoRR, February, 2025

Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools.
Artif. Intell. Rev., February, 2025

Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data.
CoRR, January, 2025

Exploring Federated Learning for Thermal Urban Feature Segmentation - A Comparison of Centralized and Decentralized Approaches.
Proceedings of the Computational Science and Its Applications - ICCSA 2025 - 25th International Conference, Istanbul, Turkey, June 30, 2025

2024
Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas.
Earth Sci. Informatics, December, 2024

An Open Source Python Library for Anonymizing Sensitive Data.
CoRR, 2024

Making Federated Learning Accessible to Scientists: The AI4EOSC Approach.
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.
Neurocomputing, 2023

Comparison of machine learning models applied on anonymized data with different techniques.
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.
CoRR, 2022

Forecasting COVID-19 spreading trough an ensemble of classical and machine learning models: Spain's case study.
CoRR, 2022


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