Jesús E. Marco de Lucas

According to our database, Jesús E. Marco de Lucas authored at least 8 papers between 2015 and 2023.

Collaborative distances:

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

2023

Implementing engrams from a machine learning perspective: matching for prediction.

Jesús Marco de Lucas

CoRR, 2023

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

2018

Resource provisioning in Science Clouds: Requirements and challenges.

Álvaro López García, Enol Fernández-del-Castillo, Pablo Orviz Fernández, Isabel Campos Plasencia, Jesús Marco de Lucas

Softw. Pract. Exp., 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

Big Data Analytics on Large-Scale Scientific Datasets in the INDIGO-DataCloud Project.

Sandro Fiore, Cosimo Palazzo, Alessandro D'Anca, Donatello Elia, Elisa Londero, Cristina Knapic, Stephen Monna, Nicola M. Marcucci, Fernando Aguilar, Marcin Plóciennik, Jesús E. Marco de Lucas, Giovanni Aloisio

Proceedings of the Computing Frontiers Conference, 2017

2015

Status Report of the DPHEP Collaboration: A Global Effort for Sustainable Data Preservation in High Energy Physics.

Silvia Amerio, Roberto Barbera, Frank Berghaus, Jakob Blomer, Andrew Branson, Germán Cancio Meliá, Concetta Cartaro, Gang Chen, Sünje Dallmeier-Tiessen, Cristinel Diaconu, Gerardo Ganis, Mihaela Gheata, Takanori Hara, Ken Herner, Mike Hildreth, Roger Jones, Stefan Kluth, Dirk Krücker, Kati Lassila-Perini, Marcello Maggi, Jesús Marco de Lucas, Salvatore Mele, Alberto Pace, Matthias Schröder, Jetendr Shamdasani, Jamie Shiers, Tim Smith, Randall J. Sobie, David Michael South, Andrii Verbytskyi, Matthew Viljoen, Lu Wang, Markus Zimmermann

CoRR, 2015