Judith Sáinz-Pardo Díaz

Instituto de Física de Cantabria — Spain

Computer Science · Physical Sciences

7h-index160citations30works2.52yr avg
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Research Topics

Privacy-Preserving Technologies in Data(13), Cryptography and Data Security(5), Ethics and Social Impacts of AI(4), Privacy, Security, and Data Protection(4), Mathematical Biology Tumor Growth(4)

Publications30 total

Exploring Federated Learning for Thermal Urban Feature Segmentation -- A Comparison of Centralized and Decentralized Approaches
arXiv (Cornell University)·2025Open Access
AI4EOSC: Artificial Intelligence for the European Open Science Cloud
2025Open Access
Machine learning operations landscape: platforms and tools
Artificial Intelligence Review·2025· 14 citedOpen Access
Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks
arXiv (Cornell University)·2025Open Access
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data
ArXiv.org·2025Open Access
Aprendizaje federado
DIGITAL.CSIC (Spanish National Research Council (CSIC))·2025Open Access
Técnicas de preservación de la privacidad en entornos de ciencia de datos
DIGITAL.CSIC (Spanish National Research Council (CSIC))·2025Open Access
Exploring Federated Learning for Thermal Urban Feature Segmentation - A Comparison of Centralized and Decentralized Approaches
Lecture notes in computer science·2025
Author Correction: An Open Source Python Library for Anonymizing Sensitive Data
Scientific Data·2024Open Access
Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools
Artificial Intelligence Review·2024· 17 citedOpen Access
An Open Source Python Library for Anonymizing Sensitive Data
Scientific Data·2024· 2 citedOpen Access
Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas
Earth Science Informatics·2024· 2 citedOpen Access
An Open Source Python Library for Anonymizing Sensitive Data
arXiv (Cornell University)·2024Open Access
Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas
arXiv (Cornell University)·2024Open Access
Making Federated Learning Accessible to Scientists: The AI4EOSC Approach
2024· 3 citedOpen Access
Deep learning based soft-sensor for continuous chlorophyll estimation on decentralized data
Water Research·2023· 10 citedOpen Access
Comparison of machine learning models applied on anonymized data with different techniques
2023· 11 citedOpen Access
Comparison of machine learning models applied on anonymized data with different techniques
arXiv (Cornell University)·2023· 1 citedOpen Access
Forecasting COVID-19 spreading through an ensemble of classical and machine learning models: Spain’s case study
Scientific Reports·2023· 12 citedOpen Access
D3.1 State of the art landscaping and initial platform requirements specification
Zenodo (CERN European Organization for Nuclear Research)·2023Open Access
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Frequent Co-authors

Álvaro López García(22), В. Козлов(7), Lisana Berberi(5), Ignacio Heredia(5), María Castrillo(5), Khadijeh Alibabaei(5), Germán Moltó(4), Giang V. Nguyen(3), Amanda Calatrava(3), Viet Tran(3), Cécilia Pola(3), Luis A. Fernández(2), Juraj Bartók(2), Irina Malkin Ondík(2), Ivan Martynovskyi(2), Leonhard Duda(2), Elena Vollmer(2), Leon Klug(2), Lisana Berberi(2), Mishal Benz(2)