Forecasting COVID-19 spreading through an ensemble of classical and machine learning models: Spain’s case study von Heredia Cacha, Ignacio, Sáinz-Pardo Díaz, Judith, Castrillo, María, López García, Álvaro

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An Open Source Python Library for Anonymizing Sensitive Data von Sáinz-Pardo Díaz, Judith, López García, Álvaro

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A Python library to check the level of anonymity of a dataset von Sáinz-Pardo Díaz, Judith, López García, Álvaro

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Study of the performance and scalability of federated learning for medical imaging with intermittent clients von Sáinz-Pardo Díaz, Judith, López García, Álvaro

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Deep learning based soft-sensor for continuous chlorophyll estimation on decentralized data von Sáinz-Pardo Díaz, Judith, Castrillo, María, López García, Álvaro

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Author Correction: An Open Source Python Library for Anonymizing Sensitive Data von Sáinz-Pardo Díaz, Judith, López García, Álvaro

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Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools von Nguyen, Giang, Sáinz-Pardo Díaz, Judith, Calatrava, Amanda, Berberi, Lisana, Lytvyn, Oleksandr, Kozlov, Valentin, Tran, Viet, Moltó, Germán, López García, Álvaro

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Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas von Sáinz-Pardo Díaz, Judith, Castrillo, María, Bartok, Juraj, Cachá, Ignacio Heredia, Ondík, Irina Malkin, Martynovskyi, Ivan, Alibabaei, Khadijeh, Berberi, Lisana, Kozlov, Valentin, López García, Álvaro

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Forecasting COVID-19 spreading trough an ensemble of classical and machine learning models: Spain's case study von Ignacio Heredia Cacha, Judith Sainz-Pardo Díaz, María Castrillo Melguizo, Álvaro López García

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Study of the performance and scalability of federated learning for medical imaging with intermittent clients von Judith Sáinz-Pardo Díaz, Álvaro López García

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pyCANON: A Python library to check the level of anonymity of a dataset von Judith Sáinz-Pardo Díaz, Álvaro López García

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Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools: Landscape of Machine Learning Evolution von Nguyen, Giang, Sáinz-Pardo Díaz, Judith, Calatrava, Amanda, Berberi, Lisana, Lytvyn, Oleksandr, Kozlov, Valentin, Tran, Viet, Moltó, Germán, López García, Álvaro

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An Open Source Python Library for Anonymizing Sensitive Data von Díaz, Judith Sáinz-Pardo, García, Álvaro López

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Comparison of machine learning models applied on anonymized data with different techniques von Díaz, Judith Sáinz-Pardo, García, Álvaro López

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An Open Source Python Library for Anonymizing Sensitive Data von Judith Sáinz-Pardo Díaz, Álvaro López García

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Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas von Díaz, Judith Sáinz-Pardo, Castrillo, María, Bartok, Juraj, Cachá, Ignacio Heredia, Ondík, Irina Malkin, Martynovskyi, Ivan, Alibabaei, Khadijeh, Berberi, Lisana, Kozlov, Valentin, García, Álvaro López

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Comparison of machine learning models applied on anonymized data with different techniques von Judith Sáinz-Pardo Díaz, Álvaro López García

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Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas von Judith Sáinz-Pardo Díaz, Castrillo, María, Bartok, Juraj, Ignacio Heredia Cachá, Irina Malkin Ondík, Martynovskyi, Ivan, Alibabaei, Khadijeh, Berberi, Lisana, Kozlov, Valentin, Álvaro López García

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Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas von Díaz, Judith Sáinz-Pardo, Castrillo, María, Bartok, Juraj, Cachá, Ignacio Heredia, Ondík, Irina Malkin, Martynovskyi, Ivan, Alibabaei, Khadijeh, Berberi, Lisana, Kozlov, Valentin, García, Álvaro López

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