Large-Scale Plant Classification with Deep Neural Networks. - Ignacio Heredia (Conf. Computing Frontiers, 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)

Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey. - Giang Nguyen 001; Stefan Dlugolinský; Martin Bobák 001; Viet D. Tran; Álvaro López García; Ignacio Heredia; Peter Malík; Ladislav Hluchý (Artif. Intell. Rev., 2019)

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 001; Ignacio Heredia Cacha; Jesús E. Marco de Lucas; et al. (IEEE Access, 2020)

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)

On the use of Deep Generative Models for Perfect Prognosis Climate Downscaling. - Jose González-Abad; Jorge Baño-Medina; Ignacio Heredia Cacha (CoRR, 2023)

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 001; Khadijeh Alibabaei; Marta Obregón Ruiz; Susana Rebolledo Ruiz; Álvaro López García (IH&MMSec, 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, 2024)