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; et al. (CoRR, 2015)

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 (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)

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 001; Ludek Matyska; P. Fuhrman; Marcus Hardt; Giacinto Donvito; Lukasz Dutka; Marcin Plóciennik; et al. (CoRR, 2017)

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 001; Ludek Matyska; P. Fuhrman; Marcus Hardt; Giacinto Donvito; Lukasz Dutka; Marcin Plóciennik; et al. (J. Grid Comput., 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)

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)

Implementing engrams from a machine learning perspective: matching for prediction. - Jesús Marco de Lucas (CoRR, 2023)

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)

Implementing engrams from a machine learning perspective: the relevance of a latent space. - Jesús Marco de Lucas (CoRR, 2024)

From Worms to Mice: Homeostasis Maybe All You Need. - Jesús E. Marco de Lucas (CoRR, 2024)