A Novel Distributed Scheduling Algorithm for Resource Sharing Under Near-Heavy Load. - Diego Moreira de Araujo Carvalho; Fábio Protti; Massimo De Gregorio; Felipe M. G. França (OPODIS, 2004)

Building a Grid in Latin America: The EELA Project e-Infrastructure. - Bernard Marechal; P. H. Rausch Bello; Diego Moreira de Araujo Carvalho (CCGRID, 2007)

Applications ported to the EELA e-Infrastructure. - Bernard Marechal; P. H. Rausch Bello; Diego Moreira de Araujo Carvalho; Rafael Mayo 001 (CCGRID, 2007)

Serviço de Adaptação de Conteúdo Aplicações Multiplataforma. - Diego Moreira de Araujo Carvalho; Fernando Antonio Mota Trinta (SBCARS, 2009)

Content adaptation for multiplatform applications. - Diego Moreira de Araujo Carvalho; Fernando Antonio Mota Trinta (WebMedia, 2009)

e-Infrastructures for e-Science: A Global View. - Giuseppe Andronico; Valeria Ardizzone; Roberto Barbera; Bruce Becker; Riccardo Bruno; Antonio Calanducci; Diego Moreira de Araujo Carvalho; Leandro Neumann Ciuffo; Marco Fargetta; Emidio Giorgio; Giuseppe La Rocca; Alberto Masoni; et al. (J. Grid Comput., 2011)

Using a Simple Prioritisation Mechanism to Effectively Interoperate Service and Opportunistic Grids in the EELA-2 e-Infrastructure. - Francisco Vilar Brasileiro; Matheus Gaudencio; Rafael Silva; Alexandre Duarte; Diego Moreira de Araujo Carvalho; Diego Scardaci; Leandro Neumann Ciuffo; Rafael Mayo 001; Herbert Hoeger; Michael Stanton; Raul Ramos; Roberto Barbera; et al. (J. Grid Comput., 2011)

Stochastic Product-Mix Selection with Grid Computing. - Diego Carvalho 001; Luiz Rossi de Souza; Rafael Garcia Barbastefano (3PGCIC, 2012)

Stochastic Product-Mix: A Grid Computing Industrial Application. - Diego Carvalho 001; Luiz Rossi de Souza; Rafael Garcia Barbastefano; Felipe M. G. França (J. Grid Comput., 2015)

A neuro-symbolic approach to GPS trajectory classification. - Diego Carvalho 001; Felipe M. G. França; Raul Barbosa; Douglas de O. Cardoso (ESANN, 2017)

A Review on Flight Delay Prediction. - Alice Sternberg; Jorge Soares 001; Diego Carvalho 001; Eduardo S. Ogasawara (CoRR, 2017)

Detecção de Anomalias Frequentes no Transporte Rodoviário Urbano. - Ana Beatriz Cruz; João Antonio Ferreira; Diego Carvalho 001; Eduardo Mendes; Esther Pacitti; Rafaelli Coutinho; Fábio Porto 001; Eduardo S. Ogasawara (SBBD, 2018)

Bus transport network analysis in Rio de Janeiro based on topological models using Social Networks. - Louise Pumar; Rafael Barbastefano; Diego Carvalho 001 (CoRR, 2018)

Identifying influential patents in citation networks using enhanced VoteRank centrality. - João C. S. Freitas; Rafael Barbastefano; Diego Carvalho 001 (CoRR, 2018)

Weightless neuro-symbolic GPS trajectory classification. - Raul Barbosa; Douglas de O. Cardoso; Diego Carvalho 001; Felipe M. G. França (Neurocomputing, 2018)

Process mining classification with a weightless neural network. - Rafael Garcia Barbastefano; Maria Clara Lippi; Diego Carvalho 001 (CoRR, 2020)

A bag of nodes primer on weightless graph classification. - Raul Barbosa; Diego Carvalho 001; Priscila Lima 001; Felipe M. G. França (ESANN, 2021)

ParslRNA-Seq: An Efficient and Scalable RNAseq Analysis Workflow for Studies of Differentiated Gene Expression. - Kary A. C. S. Ocaña; Lucas Cruz; Micaella Coelho; Rafael Terra; Marcelo Galheigo; Andre Ramos Carneiro; Diego Carvalho 001; Luiz M. R. Gadelha Jr.; Francieli Zanon Boito; Philippe O. A. Navaux; Carla Osthoff (CARLA, 2022)

Parallel Performance and I/O Profiling of HPC RNA-Seq Applications. - Lucas Cruz; Micaella Coelho; Marcelo Galheigo; André Ramos Carneiro; Diego Carvalho 001; Luiz M. R. Gadelha Jr.; Francieli Zanon Boito; Philippe O. A. Navaux; Carla Osthoff; Kary A. C. S. Ocaña (Computación y Sistemas, 2022)

A horizontal partitioning-based method for frequent pattern mining in transport timetable. - Claudio Teixeira; Luana Fragoso; Marta Mattoso; Diego Carvalho 001; Eduardo Bezerra 002; Jorge Soares 001; Glauco Amorim; Eduardo S. Ogasawara (Expert Syst. J. Knowl. Eng., 2022)

Data Assimilation by Neural Network for Ocean Circulation: Parallel Implementation. - Haroldo F. de Campos Velho; Helaine Cristina Morais Furtado; Sabrina B. M. Sambatti; Carla Barros Osthoff Ferreira de Barros; Maria E. S. Welter; Roberto Pinto Souto; Diego Carvalho 001; Douglas de O. Cardoso (Supercomput. Front. Innov., 2022)

Reflections on epistemological aspects of artificial intelligence during the COVID-19 pandemic. - Angela Abreu Rosa de Sá; Diego Moreira de Araujo Carvalho; Eduardo L. M. Naves (AI Soc., 2023)

Online Event Detection in Streaming Time Series: Novel Metrics and Practical Insights. - Janio Lima; Lucas Giusti Tavares; Esther Pacitti; João Eduardo Ferreira; Ismael Santos 001; Isabela Guimarães Siqueira; Diego Carvalho 001; Fábio Porto 001; Rafaelli Coutinho; Eduardo S. Ogasawara (IJCNN, 2024)

Avaliação de Desvios de Conceitos Reais e Virtuais nos Atrasos de Voos em São Paulo nos Períodos Pré, Intra e Pós-Pandemia. - Fabiana Santos; Lucas Giusti Tavares; Diego Carvalho 001; Eduardo S. Ogasawara; Jorge Soares 001 (SBBD, 2024)

Updating KernelCanvas for weightless graph classification. - Raul Bezerra Barbosa; Diego Leonel Cadette Dutra; Priscila Machado Vieira Lima; Diego Carvalho 001; Felipe Maia Galvão França (Neurocomputing, 2025)