Checkpointing-based rollback recovery for parallel applications on the InteGrade grid middleware. - Raphael Y. de Camargo; Andrei Goldchleger; Fabio Kon; Alfredo Goldman (Middleware for Grid Computing, 2004)

Strategies for storage of checkpointing data using non-dedicated repositories on Grid systems. - Raphael Y. de Camargo; Renato Cerqueira; Fabio Kon (MGC@Middleware, 2005)

Portable checkpointing and communication for BSP applications on dynamic heterogeneous Grid environments. - Raphael Y. de Camargo; Fabio Kon; Alfredo Goldman (SBAC-PAD, 2005)

Distributed data storage for opportunistic grids. - Raphael Y. de Camargo; Fabio Kon (Middleware Doctoral Symposium, 2006)

Checkpointing BSP parallel applications on the InteGrade Grid middleware. - Raphael Y. de Camargo; Andrei Goldchleger; Fabio Kon; Alfredo Goldman (Concurr. Comput. Pract. Exp., 2006)

Strategies for Checkpoint Storage on Opportunistic Grids. - Raphael Y. de Camargo; Fabio Kon; Renato Cerqueira (IEEE Distributed Syst. Online, 2006)

Design and Implementation of a Middleware for Data Storage in Opportunistic Grids. - Raphael Y. de Camargo; Fabio Kon (CCGRID, 2007)

Distributed data storage and checkpointing of parallel applications in opportunistic grids (Armazenamento distribuído de dados e checkpointing de aplicações paralelas em grades oportunistas). - Raphael Yokoingawa de Camargo (2007)

A group membership service for large-scale grids. - Fernando Castor Filho; Augusta Marques; Raphael Y. de Camargo; Fabio Kon (MGC, 2008)

Exploiting a generic approach for constructing mobile device applications. - Jo Ueyama; Vítor P. V. Pinto; Edmundo R. M. Madeira; Paul Grace; Thienne M. M. Jonhson; Raphael Y. de Camargo (COMSWARE, 2009)

Efficient maintenance of distributed data in highly dynamic opportunistic grids. - Raphael Y. de Camargo; Fernando Castor Filho; Fabio Kon (SAC, 2009)

Exploiting a Generic Approach to Construct Component-Based Systems Software in Linux Environments. - Jo Ueyama; Edmundo R. M. Madeira; François Taïani; Raphael Y. de Camargo; Paul Grace; Geoff Coulson (Int. J. Softw. Eng. Knowl. Eng., 2010)

Reliable management of checkpointing and application data in opportunistic grids. - Raphael Y. de Camargo; Fernando Castor Filho; Fabio Kon (J. Braz. Comput. Soc., 2010)

Application execution management on the InteGrade opportunistic grid middleware. - Francisco José da Silva e Silva; Fabio Kon; Alfredo Goldman; Marcelo Finger; Raphael Y. de Camargo; Fernando Castor Filho; Fábio M. Costa (J. Parallel Distributed Comput., 2010)

A multi-GPU algorithm for communication in neuronal network simulations. - Raphael Y. de Camargo (HiPC, 2011)

A multi-GPU algorithm for large-scale neuronal networks. - Raphael Y. de Camargo; Luiz C. S. Rozante; Siang W. Song (Concurr. Comput. Pract. Exp., 2011)

Accelerating gene regulatory networks inference through GPU/CUDA programming. - Fabrizio F. Borelli; Raphael Y. de Camargo; David Correa Martins Jr.; Beatriz Stransky; Luiz C. S. Rozante (ICCABS, 2012)

Gene regulatory networks inference using a multi-GPU exhaustive search algorithm. - Fabrizio F. Borelli; Raphael Y. de Camargo; David Correa Martins Jr.; Luiz C. S. Rozante (BMC Bioinform., 2013)

A Parallel Maximum Subarray Algorithm on GPUs. - Cleber S. Ferreira; Raphael Y. de Camargo; Siang Wun Song (SBAC-PAD (Workshops), 2014)

A Multi-GPU Hitting Set Algorithm for GRNs Inference. - Danilo Carastan-Santos; Raphael Yokoingawa de Camargo; David Correa Martins; Siang Wun Song; Luiz Carlos Silva Rozante; Fabrizio Ferreira Borelli (CCGRID, 2015)

PLB-HeC: A Profile-Based Load-Balancing Algorithm for Heterogeneous CPU-GPU Clusters. - Luis Sant'Ana; Daniel Cordeiro; Raphael Y. de Camargo (CLUSTER, 2015)

A Simple BSP-based Model to Predict Execution Time in GPU Applications. - Marcos Amaris; Daniel Cordeiro; Alfredo Goldman; Raphael Y. de Camargo (HiPC, 2015)

A comparison of GPU execution time prediction using machine learning and analytical modeling. - Marcos Amaris; Raphael Y. de Camargo; Mohamed Dyab; Alfredo Goldman; Denis Trystram (NCA, 2016)

Obtaining dynamic scheduling policies with simulation and machine learning. - Danilo Carastan-Santos; Raphael Y. de Camargo (SC, 2017)

Finding exact hitting set solutions for systems biology applications using heterogeneous GPU clusters. - Danilo Carastan-Santos; Raphael Y. de Camargo; David Correa Martins Jr.; Siang W. Song; Luiz C. S. Rozante (Future Gener. Comput. Syst., 2017)

Analysis of Potential Online Scheduling Improvements by Real-Time Strategy Selection. - Luis Felipe Sant'Ana; Danilo Carastan-Santos; Daniel Cordeiro; Raphael Y. de Camargo (WSCAD, 2018)

One Can Only Gain by Replacing EASY Backfilling: A Simple Scheduling Policies Case Study. - Danilo Carastan-Santos; Raphael Y. de Camargo; Denis Trystram; Salah Zrigui (CCGRID, 2019)

Real-Time Scheduling Policy Selection from Queue and Machine States. - Luis Sant'Ana; Danilo Carastan-Santos; Daniel Cordeiro; Raphael Y. de Camargo (CCGRID, 2019)

PLB-HAC: Dynamic Load-Balancing for Heterogeneous Accelerator Clusters. - Luis Sant'Ana; Daniel Cordeiro; Raphael Y. de Camargo (Euro-Par, 2019)

Evaluation of connectivity estimates using spiking neuronal network models. - Ronaldo V. Nunes; Marcelo Bussotti Reyes; Raphael Y. de Camargo (Biol. Cybern., 2019)

A hybrid CPU-GPU-MIC algorithm for minimal hitting set enumeration. - Danilo Carastan-Santos; David Correa Martins Jr.; Siang W. Song; Luiz C. S. Rozante; Raphael Y. de Camargo (Concurr. Comput. Pract. Exp., 2019)

Efficient Prediction of Region-wide Traffic States in Public Bus Networks using LSTMs. - Marcos Amaris; Mayuri A. Morais; Raphael Y. de Camargo (ITSC, 2021)

Computer architecture and high performance computing. - Raphael Y. de Camargo; Fabrizio Marozzo; Wellington Martins (Concurr. Comput. Pract. Exp., 2021)

Predicting Dengue Outbreaks with Explainable Machine Learning. - Robson Aleixo; Fabio Kon; Rudi Rocha; Marcela Santos Camargo; Raphael Y. de Camargo (CCGRID, 2022)

Improving the performance of batch schedulers using online job runtime classification. - Salah Zrigui; Raphael Y. de Camargo; Arnaud Legrand; Denis Trystram (J. Parallel Distributed Comput., 2022)

Applying Independent Vector Analysis on EEG-Based Motor Imagery Classification. - Caroline P. A. Moraes; Bruno Aristimunha; Lucas Heck Dos Santos; Walter Hugo Lopez Pinaya; Raphael Yokoingawa de Camargo; Denis G. Fantinato; Aline Neves (ICASSP, 2023)

Real-time Incident Detection in Public Bus Systems Using Machine Learning. - Mayuri A. Morais; Raphael Y. de Camargo (ITSC, 2023)

Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring. - Bruno Aristimunha; Alexandre Janoni Bayerlein; M. Jorge Cardoso; Walter Hugo Lopez Pinaya; Raphael Yokoingawa de Camargo (IEEE Access, 2023)

Evaluating the structure of cognitive tasks with transfer learning. - Bruno Aristimunha; Raphael Y. de Camargo; Walter Hugo Lopez Pinaya; Sylvain Chevallier; Alexandre Gramfort; Cédric Rommel (CoRR, 2023)

Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques. - Marcos Amaris; Raphael Y. de Camargo; Daniel Cordeiro; Alfredo Goldman; Denis Trystram (J. Parallel Distributed Comput., 2023)

Combining Euclidean Alignment and Data Augmentation for BCI decoding. - Gustavo H. Rodrigues; Bruno Aristimunha; Sylvain Chevallier; Raphael Y. de Camargo (EUSIPCO, 2024)

A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding. - Bruna Junqueira; Bruno Aristimunha; Sylvain Chevallier; Raphael Y. de Camargo (CoRR, 2024)

Geometric Neural Network based on Phase Space for BCI decoding. - Igor Carrara; Bruno Aristimunha; Marie-Constance Corsi; Raphael Y. de Camargo; Sylvain Chevallier; Théodore Papadopoulo (CoRR, 2024)

Retrieval-Enhanced Named Entity Recognition. - Enzo Shiraishi; Raphael Y. de Camargo; Henrique L. P. Silva; Ronaldo C. Prati (CoRR, 2024)

Efficient Computation of Attractor Fields in Coupled Boolean Networks. - Luiz C. S. Rozante; Carlos Reynaldo Portocarrero Tovar; David Correa Martins Jr.; Raphael Y. de Camargo; Luciana Arantes; Pierre Sens 001 (ICCSA (1), 2025)