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ORCIDRaphael Y. de Camargo
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2020 – today
- 2024
[c25]Gustavo H. Rodrigues, Bruno Aristimunha, Sylvain Chevallier, Raphael Y. de Camargo:
Combining Euclidean Alignment and Data Augmentation for BCI decoding. EUSIPCO 2024: 1382-1387- [i3]Bruna Junqueira, Bruno Aristimunha, Sylvain Chevallier, Raphael Y. de Camargo:
A Systematic Evaluation of Euclidean Alignment with Deep Learning for EEG Decoding. CoRR abs/2401.10746 (2024) - [i2]Igor Carrara, Bruno Aristimunha
, Marie-Constance Corsi, Raphael Y. de Camargo, Sylvain Chevallier, Théodore Papadopoulo:
Geometric Neural Network based on Phase Space for BCI decoding. CoRR abs/2403.05645 (2024) - 2023
- [j14]Bruno Aristimunha, Alexandre Janoni Bayerlein, M. Jorge Cardoso, Walter Hugo Lopez Pinaya, Raphael Yokoingawa de Camargo:
Sleep-Energy: An Energy Optimization Method to Sleep Stage Scoring. IEEE Access 11: 34595-34602 (2023) - [j13]Marcos Amaris, Raphael Y. de Camargo, Daniel Cordeiro, Alfredo Goldman, Denis Trystram:
Evaluating execution time predictions on GPU kernels using an analytical model and machine learning techniques. J. Parallel Distributed Comput. 171: 66-78 (2023) - [c24]Caroline P. A. Moraes, Bruno Aristimunha, Lucas Heck Dos Santos, Walter Hugo Lopez Pinaya, Raphael Yokoingawa de Camargo, Denis G. Fantinato, Aline Neves:
Applying Independent Vector Analysis on EEG-Based Motor Imagery Classification. ICASSP 2023: 1-5 - [c23]Mayuri A. Morais, Raphael Y. de Camargo:
Real-time Incident Detection in Public Bus Systems Using Machine Learning. ITSC 2023: 2044-2049 - [i1]Bruno Aristimunha, Raphael Y. de Camargo, Walter Hugo Lopez Pinaya, Sylvain Chevallier, Alexandre Gramfort, Cédric Rommel:
Evaluating the structure of cognitive tasks with transfer learning. CoRR abs/2308.02408 (2023) - 2022
- [j12]Salah Zrigui, Raphael Y. de Camargo, Arnaud Legrand, Denis Trystram:
Improving the performance of batch schedulers using online job runtime classification. J. Parallel Distributed Comput. 164: 83-95 (2022) - [c22]Robson Aleixo, Fabio Kon, Rudi Rocha, Marcela Santos Camargo, Raphael Y. de Camargo:
Predicting Dengue Outbreaks with Explainable Machine Learning. CCGRID 2022: 940-947 - 2021
- [j11]Raphael Y. de Camargo, Fabrizio Marozzo, Wellington Martins:
Computer architecture and high performance computing. Concurr. Comput. Pract. Exp. 33(18) (2021) - [c21]Marcos Amaris, Mayuri A. Morais, Raphael Y. de Camargo:
Efficient Prediction of Region-wide Traffic States in Public Bus Networks using LSTMs. ITSC 2021: 2215-2220
2010 – 2019
- 2019
- [j10]Ronaldo V. Nunes, Marcelo Bussotti Reyes, Raphael Y. de Camargo:
Evaluation of connectivity estimates using spiking neuronal network models. Biol. Cybern. 113(3): 309-320 (2019) - [j9]Danilo Carastan-Santos, David Correa Martins Jr., Siang W. Song, Luiz C. S. Rozante, Raphael Y. de Camargo:
A hybrid CPU-GPU-MIC algorithm for minimal hitting set enumeration. Concurr. Comput. Pract. Exp. 31(18) (2019) - [c20]Danilo Carastan-Santos, Raphael Y. de Camargo, Denis Trystram, Salah Zrigui:
One Can Only Gain by Replacing EASY Backfilling: A Simple Scheduling Policies Case Study. CCGRID 2019: 1-10 - [c19]Luis Sant'Ana, Danilo Carastan-Santos, Daniel Cordeiro, Raphael Y. de Camargo:
Real-Time Scheduling Policy Selection from Queue and Machine States. CCGRID 2019: 381-390 - [c18]Luis Sant'Ana, Daniel Cordeiro, Raphael Y. de Camargo:
PLB-HAC: Dynamic Load-Balancing for Heterogeneous Accelerator Clusters. Euro-Par 2019: 197-209 - 2018
- [c17]Luis Felipe Sant'Ana, Danilo Carastan-Santos, Daniel Cordeiro, Raphael Y. de Camargo:
Analysis of Potential Online Scheduling Improvements by Real-Time Strategy Selection. WSCAD 2018: 1-7 - 2017
- [j8]Danilo Carastan-Santos, Raphael Y. de Camargo, David Correa Martins Jr., Siang W. Song, Luiz C. S. Rozante:
Finding exact hitting set solutions for systems biology applications using heterogeneous GPU clusters. Future Gener. Comput. Syst. 67: 418-429 (2017) - [c16]Danilo Carastan-Santos, Raphael Y. de Camargo:
Obtaining dynamic scheduling policies with simulation and machine learning. SC 2017: 32 - 2016
- [c15]Marcos Amaris, Raphael Y. de Camargo, Mohamed Dyab, Alfredo Goldman, Denis Trystram:
A comparison of GPU execution time prediction using machine learning and analytical modeling. NCA 2016: 326-333 - 2015
- [c14]Danilo Carastan-Santos, Raphael Yokoingawa de Camargo, David Correa Martins, Siang Wun Song, Luiz Carlos Silva Rozante, Fabrizio Ferreira Borelli:
A Multi-GPU Hitting Set Algorithm for GRNs Inference. CCGRID 2015: 313-322 - [c13]Luis Sant'Ana, Daniel Cordeiro, Raphael Y. de Camargo:
PLB-HeC: A Profile-Based Load-Balancing Algorithm for Heterogeneous CPU-GPU Clusters. CLUSTER 2015: 96-105 - [c12]Marcos Amaris, Daniel Cordeiro, Alfredo Goldman, Raphael Y. de Camargo:
A Simple BSP-based Model to Predict Execution Time in GPU Applications. HiPC 2015: 285-294 - 2014
- [c11]Cleber S. Ferreira, Raphael Y. de Camargo, Siang Wun Song:
A Parallel Maximum Subarray Algorithm on GPUs. SBAC-PAD (Workshops) 2014: 12-17 - 2013
- [j7]Fabrizio F. Borelli, Raphael Y. de Camargo, David Correa Martins Jr., Luiz C. S. Rozante:
Gene regulatory networks inference using a multi-GPU exhaustive search algorithm. BMC Bioinform. 14(S-18): S5 (2013) - 2012
- [c10]Fabrizio F. Borelli, Raphael Y. de Camargo, David Correa Martins Jr., Beatriz Stransky, Luiz C. S. Rozante:
Accelerating gene regulatory networks inference through GPU/CUDA programming. ICCABS 2012: 1-6 - 2011
- [j6]Raphael Y. de Camargo, Luiz C. S. Rozante, Siang W. Song:
A multi-GPU algorithm for large-scale neuronal networks. Concurr. Comput. Pract. Exp. 23(6): 556-572 (2011) - [c9]Raphael Y. de Camargo:
A multi-GPU algorithm for communication in neuronal network simulations. HiPC 2011: 1-10 - 2010
- [j5]Jo Ueyama, Edmundo R. M. Madeira, François Taïani, Raphael Y. de Camargo, Paul Grace, Geoff Coulson:
Exploiting a Generic Approach to Construct Component-Based Systems Software in Linux Environments. Int. J. Softw. Eng. Knowl. Eng. 20(6): 843-873 (2010) - [j4]Raphael Y. de Camargo, Fernando Castor Filho, Fabio Kon:
Reliable management of checkpointing and application data in opportunistic grids. J. Braz. Comput. Soc. 16(3): 177-190 (2010) - [j3]Francisco José da Silva e Silva, Fabio Kon, Alfredo Goldman, Marcelo Finger, Raphael Y. de Camargo, Fernando Castor Filho, Fábio M. Costa:
Application execution management on the InteGrade opportunistic grid middleware. J. Parallel Distributed Comput. 70(5): 573-583 (2010)
2000 – 2009
- 2009
- [c8]Jo Ueyama, Vítor P. V. Pinto, Edmundo R. M. Madeira, Paul Grace, Thienne M. M. Jonhson, Raphael Y. de Camargo:
Exploiting a generic approach for constructing mobile device applications. COMSWARE 2009: 12 - [c7]Raphael Y. de Camargo, Fernando Castor Filho, Fabio Kon:
Efficient maintenance of distributed data in highly dynamic opportunistic grids. SAC 2009: 1067-1071 - 2008
- [c6]Fernando Castor Filho, Augusta Marques, Raphael Y. de Camargo, Fabio Kon:
A group membership service for large-scale grids. MGC 2008: 3 - 2007
- [b1]Raphael Yokoingawa de Camargo:
Distributed data storage and checkpointing of parallel applications in opportunistic grids (Armazenamento distribuído de dados e checkpointing de aplicações paralelas em grades oportunistas). University of São Paulo, Brazil, 2007 - [c5]Raphael Y. de Camargo, Fabio Kon:
Design and Implementation of a Middleware for Data Storage in Opportunistic Grids. CCGRID 2007: 23-30 - 2006
- [j2]Raphael Y. de Camargo, Andrei Goldchleger, Fabio Kon, Alfredo Goldman:
Checkpointing BSP parallel applications on the InteGrade Grid middleware. Concurr. Comput. Pract. Exp. 18(6): 567-579 (2006) - [j1]Raphael Y. de Camargo, Fabio Kon, Renato Cerqueira:
Strategies for Checkpoint Storage on Opportunistic Grids. IEEE Distributed Syst. Online 7(9) (2006) - [c4]Raphael Y. de Camargo, Fabio Kon:
Distributed data storage for opportunistic grids. Middleware Doctoral Symposium 2006: 3 - 2005
- [c3]Raphael Y. de Camargo, Renato Cerqueira, Fabio Kon:
Strategies for storage of checkpointing data using non-dedicated repositories on Grid systems. MGC@Middleware 2005: 14:1-14:6 - [c2]Raphael Y. de Camargo, Fabio Kon, Alfredo Goldman:
Portable checkpointing and communication for BSP applications on dynamic heterogeneous Grid environments. SBAC-PAD 2005: 226-234 - 2004
- [c1]Raphael Y. de Camargo, Andrei Goldchleger, Fabio Kon, Alfredo Goldman:
Checkpointing-based rollback recovery for parallel applications on the InteGrade grid middleware. Middleware for Grid Computing 2004: 35-40
Coauthor Index
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