Ignacio Heredia

According to our database, Ignacio Heredia authored at least 9 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

AI4EOSC: a Federated Cloud Platform for Artificial Intelligence in Scientific Research.

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

CoRR, December, 2025

2024

Personalized federated learning for improving radar based precipitation nowcasting on heterogeneous areas.

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

Earth Sci. Informatics, December, 2024

Making Federated Learning Accessible to Scientists: The AI4EOSC Approach.

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

Proceedings of the ACM Workshop on Information Hiding and Multimedia Security, 2024

2023

On the use of Deep Generative Models for Perfect Prognosis Climate Downscaling.

Jose González-Abad, Jorge Baño-Medina, Ignacio Heredia Cacha

CoRR, 2023

2022

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

Ignacio Heredia Cacha, Judith Sáinz-Pardo Díaz, María Castrillo Melguizo, Álvaro López García

CoRR, 2022

2020

A Cloud-Based Framework for Machine Learning Workloads and Applications.

Álvaro López García, Viet D. Tran, Andy S. Alic, Miguel Caballer, Isabel Campos Plasencia, Alessandro Costantini, Stefan Dlugolinský, Doina Cristina Duma, Giacinto Donvito, Jorge Gomes, Ignacio Heredia Cacha, Jesús E. Marco de Lucas, Keiichi Ito, Valentin Kozlov, Giang T. Nguyen, Pablo Orviz Fernández, Zdenek Sustr, Pawel Wolniewicz, Marica Antonacci, Wolfgang zu Castell, Mário David, Marcus Hardt, Lara Lloret Iglesias, Germán Moltó, Marcin Plóciennik

IEEE Access, 2020

2019

Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey.

Giang Nguyen, Stefan Dlugolinský, Martin Bobák, Viet D. Tran, Álvaro López García, Ignacio Heredia, Peter Malík, Ladislav Hluchý

Artif. Intell. Rev., 2019

2017

Application of a Convolutional Neural Network for image classification to the analysis of collisions in High Energy Physics.

Celia Fernández Madrazo, Ignacio Heredia Cacha, Lara Lloret Iglesias, Jesús Marco de Lucas

CoRR, 2017

Large-Scale Plant Classification with Deep Neural Networks.

Ignacio Heredia

Proceedings of the Computing Frontiers Conference, 2017