Judith Sáinz-Pardo Díaz

Author

Also Known As

Díaz, Judith Sainz-Pardo, Díaz, Judith Sáinz-Pardo, Díaz, Judith Sáínz-Pardo, Judith Sáinz-Pardo, Judith Sáinz-Pardo Díaz, Judith Sáinz-Pardo:, Sáinz-Pardo Díaz, Judith, Sáinz-Pardo, Judith

Publications

156

Citations

H-Index

Concepts

All Affiliations

Instituto de Física de Cantabria Slovak University of Technology in Bratislava Instituto de Instrumentación para Imagen Molecular Karlsruhe Institute of Technology

About

Judith Sáinz-Pardo Díaz is an author at Instituto de Física de Cantabria specializing in data privacy, deep learning, and federated learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	1	1	61
2	Computer Science	1	1	61
3	Data Science	1	1	61
4	Health Informatics	1	1	61
5	Artificial Intelligence	1	1	61

Judith Sáinz-Pardo Díaz

Publications

142

Citations

H-Index

Page 1

	Year	Citations
Study of the performance and scalability of federated learning for medical imaging with intermittent clients Judith Sáinz-Pardo Díaz, Álvaro López García Neurocomputing Artificial IntelligenceEngineeringMachine LearningPrivacy-preserving TechniquesInformation Security	2022	61
A Python library to check the level of anonymity of a dataset Judith Sáinz-Pardo Díaz, Álvaro López García Scientific Data	2022	19
Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools Giang V. Nguyen, Judith Sáinz-Pardo Díaz, Amanda Calatrava, Artificial Intelligence Review	2024	17
Machine learning operations landscape: platforms and tools Lisana Berberi, Giang V. Nguyen, Judith Sáinz-Pardo Díaz, Artificial Intelligence Review	2025	13
Forecasting COVID-19 spreading through an ensemble of classical and machine learning models: Spain’s case study Ignacio Heredia, Judith Sáinz-Pardo Díaz, María Castrillo, Scientific Reports	2023	12
Comparison of machine learning models applied on anonymized data with different techniques Judith Sáinz-Pardo Díaz, Álvaro López García	2023	10
Deep learning based soft-sensor for continuous chlorophyll estimation on decentralized data Judith Sáinz-Pardo Díaz, María Castrillo, Álvaro López García Water Research	2023	10

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