Ignacio Heredia

According to our database, Ignacio Heredia authored at least 6 papers between 2017 and 2023.

Collaborative distances:

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

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 Dlugolinsky, 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 Dlugolinsky, 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