Judith Sáinz-Pardo Díaz

17 papers C 1Misc 1Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research.
CoRR
Ignacio Heredia, Álvaro López García, Germán Moltó, Amanda Calatrava, Valentin Kozlov, Alessandro Costantini, Viet D. Tran, Mário David, Daniel San Martín, Marcin Plóciennik, Marta Obregón Ruiz, Saúl Fernandez, Judith Sáinz-Pardo Díaz, Miguel Caballer, Caterina Alarcón Marín, Stefan Dlugolinský, Martin Seleng, Lisana Berberi, Khadijeh Alibabaei, Borja Esteban Sanchis, Pedro Castro, Giacinto Donvito, Diego Aguirre, Sergio Langarita, Vicente Rodríguez, Leonhard Duda, Andrés Heredia Canales, Susana Rebolledo Ruiz, João Machado, Giang Nguyen, Fernando Aguilar Gómez, Jaime Díez
2025 J jnl
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data.
CoRR
Judith Sáinz-Pardo Díaz, Álvaro López García
2025 — conf
Exploring Federated Learning for Thermal Urban Feature Segmentation - A Comparison of Centralized and Decentralized Approaches.
ICCSA (1)
Leonhard Duda, Khadijeh Alibabaei, Elena Vollmer, Leon Klug, Valentin Kozlov, Lisana Berberi, Mishal Benz, Rebekka Volk, Juan Pedro Gutiérrez H. Muriedas, Markus Götz, Judith Sáinz-Pardo Díaz, Álvaro López García, Frank Schultmann, Achim Streit
2025 J jnl
Exploring Federated Learning for Thermal Urban Feature Segmentation - A Comparison of Centralized and Decentralized Approaches.
CoRR
Leonhard Duda, Khadijeh Alibabaei, Elena Vollmer, Leon Klug, Valentin Kozlov, Lisana Berberi, Mishal Benz, Rebekka Volk, Juan Pedro Gutiérrez H. Muriedas, Markus Götz, Judith Sáinz-Pardo Díaz, Álvaro López García, Frank Schultmann, Achim Streit
2025 J jnl
Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools.
Artif. Intell. Rev.
Giang Thu Nguyen, Judith Sáinz-Pardo Díaz, Amanda Calatrava, Lisana Berberi, Oleksandr Lytvyn, Valentin Kozlov, Viet D. Tran, Germán Moltó, Álvaro López García
2025 J jnl
Machine learning operations landscape: platforms and tools.
Artif. Intell. Rev.
Lisana Berberi, Valentin Kozlov, Giang Nguyen, Judith Sáinz-Pardo Díaz, Amanda Calatrava, Germán Moltó, Viet D. Tran, Álvaro López García
2025 J jnl
Metric Privacy in Federated Learning for Medical Imaging: Improving Convergence and Preventing Client Inference Attacks.
CoRR
Judith Sáinz-Pardo Díaz, Andreas Athanasiou, Kangsoo Jung, Catuscia Palamidessi, Álvaro López García
2024 J jnl
An Open Source Python Library for Anonymizing Sensitive Data.
CoRR
Judith Sáinz-Pardo Díaz, Álvaro López García
2024 C conf
Making Federated Learning Accessible to Scientists: The AI4EOSC Approach.
IH&MMSec
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
2024 J jnl
Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas.
CoRR
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
2024 J jnl
Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas.
Earth Sci. Informatics
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
2023 Misc conf
Comparison of machine learning models applied on anonymized data with different techniques.
CSR
Judith Sáinz-Pardo Díaz, Álvaro López García
2023 J jnl
Comparison of machine learning models applied on anonymized data with different techniques.
CoRR
Judith Sáinz-Pardo Díaz, Álvaro López García
2023 J jnl
Study of the performance and scalability of federated learning for medical imaging with intermittent clients.
Neurocomputing
Judith Sáinz-Pardo Díaz, Álvaro López García
2022 J jnl
Forecasting COVID-19 spreading trough an ensemble of classical and machine learning models: Spain's case study.
CoRR
Ignacio Heredia Cacha, Judith Sáinz-Pardo Díaz, María Castrillo Melguizo, Álvaro López García
2022 J jnl
Study of the performance and scalability of federated learning for medical imaging with intermittent clients.
CoRR
Judith Sáinz-Pardo Díaz, Álvaro López García
2022 J jnl
pyCANON: A Python library to check the level of anonymity of a dataset.
CoRR
Judith Sáinz-Pardo Díaz, Álvaro López García