Lara Lloret Iglesias

According to our database, Lara Lloret Iglesias authored at least 8 papers between 2017 and 2024.

Collaborative distances:

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

2024

Implementing engrams from a machine learning perspective: XOR as a basic motif.

Jesús E. Marco de Lucas, Maria Peña Fernandez, Lara Lloret Iglesias

CoRR, 2024

Multi-task Learning Approach for Intracranial Hemorrhage Prognosis.

Miriam Cobo, Amaia Pérez del Barrio, Pablo Menéndez Fernández-Miranda, Pablo Sanz Bellón, Lara Lloret Iglesias, Wilson Silva

Proceedings of the Machine Learning in Medical Imaging - 15th International Workshop, 2024

2021

Developing a Training Web Application for Improving the COVID-19 Diagnostic Accuracy on Chest X-ray.

Pablo Menéndez Fernández-Miranda, Pablo Sanz Bellón, Amaia Pérez del Barrio, Lara Lloret Iglesias, P. Solís García, Fernando Aguilar Gómez, David Rodriguez Gonzalez, José Antonio Vega

J. Digit. Imaging, 2021

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

Fake news detection using Deep Learning.

Álvaro Ibrain Rodríguez, Lara Lloret Iglesias

CoRR, 2019

2018

INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures.

Davide Salomoni, Isabel Campos Plasencia, Luciano Gaido, Jesús E. Marco de Lucas, P. Solagna, Jorge Gomes, Ludek Matyska, P. Fuhrman, Marcus Hardt, Giacinto Donvito, Lukasz Dutka, Marcin Plóciennik, Roberto Barbera, Ignacio Blanquer, Andrea Ceccanti, Eva Cetinic, Mário David, Doina Cristina Duma, Álvaro López García, Germán Moltó, Pablo Orviz Fernández, Zdenek Sustr, Matthew Viljoen, Fernando Aguilar, Luís Alves, Marica Antonacci, Lucio Angelo Antonelli, Stefano Bagnasco, A. Bonving, Riccardo Bruno, Y. Chen, Alessandro Costa, Davor Davidovic, Benjamin Ertl, Marco Fargetta, Sandro Fiore, S. Gallozzi, Z. Kurkcuoglu, Lara Lloret Iglesias, J. Martins, Alessandra Nuzzo, Paola Nassisi, Cosimo Palazzo, João Murta Pina, Eva Sciacca, Daniele Spiga, Marco Antonio Tangaro, Michal Urbaniak, Sara Vallero, Bas Wegh, Valentina Zaccolo, Federico Zambelli, Tomasz Zok

J. Grid Comput., 2018

2017

INDIGO-DataCloud: A data and computing platform to facilitate seamless access to e-infrastructures.

Davide Salomoni, Luciano Gaido, Isabel Campos Plasencia, Jesús E. Marco de Lucas, P. Solagna, Jorge Gomes, Ludek Matyska, P. Fuhrman, Marcus Hardt, Giacinto Donvito, Lukasz Dutka, Marcin Plóciennik, Roberto Barbera, Cristina Aiftimiei, Ignacio Blanquer, Andrea Ceccanti, Mário David, Álvaro López García, Germán Moltó, Pablo Orviz Fernández, Zdenek Sustr, Matthew Viljoen, Fernando Aguilar, Luís Alves, A. Bonving, Riccardo Bruno, Davor Davidovic, Marco Fargetta, Y. Chen, Sandro Fiore, Z. Kurkcuoglu, Lara Lloret Iglesias, J. Martins, Alessandra Nuzzo, Paola Nassisi, João Murta Pina, Eva Sciacca, Daniele Spiga, Marco Antonio Tangaro, Michal Urbaniak, Bas Wegh, Tomasz Zok

CoRR, 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