O Potencial do Uso de Estimativas de Desempenho na Exploração de Conjuntos de Otimizações. - Anderson Faustino da Silva; Vanderson Martins Rosario (RITA, 2015)

myBee: An Information System for Precision Beekeeping. - Luis Gustavo Araujo Rodriguez; João Almeida de Jeus; Vanderson Martins do Rosário; Anderson Faustino da Silva; Lucimar Pontara Peres; Heberte Fernandes de Moraes; Claudio Luis de Amorim (ICEIS (2), 2017)

Beyond the Fog: Bringing Cross-Platform Code Execution to Constrained IoT Devices. - Flavia Pisani; Jeferson Rech Brunetta; Vanderson Martins do Rosario; Edson Borin (SBAC-PAD, 2017)

Fog-Assisted Translation: Towards Efficient Software Emulation on Heterogeneous IoT Devices. - Vanderson Martins do Rosario; Flavia Pisani; Alexandre Rodrigues Gomes; Edson Borin (IPDPS Workshops, 2018)

Towards a High-Performance RISC-V Emulator. - Leandro Lupori; Vanderson Martins do Rosário; Edson Borin (WSCAD, 2018)

High-Performance RISC-V Emulation. - Leandro Lupori; Vanderson Martins do Rosario; Edson Borin (WSCAD (Selected Papers), 2018)

Evaluation of Timing Side-Channel Leakage on a Multiple-Target Dynamic Binary Translator. - Otávio O. Napoli; Vanderson Martins do Rosário; Diego de Freitas Aranha; Edson Borin (WSCAD, 2018)

Evaluation and Mitigation of Timing Side-Channel Leakages on Multiple-Target Dynamic Binary Translators. - Otávio Oliveira Napoli; Vanderson Martins do Rosario; Diego de Freitas Aranha; Edson Borin (WSCAD (Selected Papers), 2018)

A Methodology for Optimization of Interpreters. - Vanderson Martins do Rosário; Mario Mikio Hato; Rodolfo Azevedo; Edson Borin (WSCAD, 2018)

The Multi-Lane Capsule Network (MLCN). - Vanderson Martins do Rosario; Edson Borin; Maurício Breternitz Jr. (CoRR, 2019)

Fog vs. Cloud Computing: Should I Stay or Should I Go? - Flávia Pisani; Vanderson Martins do Rosario; Edson Borin (Future Internet, 2019)

The Multi-Lane Capsule Network. - Vanderson Martins do Rosario; Edson Borin; Maurício Breternitz (IEEE Signal Process. Lett., 2019)

Fast and Low-cost Search for Efficient Cloud Configurations for HPC Workloads. - Vanderson Martins do Rosário; Thais Aparecida Silva Camacho; Otávio O. Napoli; Edson Borin (CoRR, 2020)

Accelerating Multi-attribute Unsupervised Seismic Facies Analysis With RAPIDS. - Otávio O. Napoli; Vanderson Martins do Rosario; João Paulo Navarro; Pedro Mário Cruz e Silva; Edson Borin (CoRR, 2020)

Employing Simulation to Facilitate the Design of Dynamic Code Generators. - Vanderson Martins do Rosario; Raphael Moreira Zinsly; Sandro Rigo; Edson Borin (CoRR, 2020)

Employing Simulation to Facilitate the Design of Dynamic Binary Translators. - Vanderson Martins do Rosario; Raphael Zinsly; Sandro Rigo; Edson Borin (SBAC-PAD, 2021)

New Optimization Sequences for Code-Size Reduction for the LLVM Compilation Infrastructure. - Anderson Faustino da Silva; Edson Borin; Fernando Magno Quintão Pereira; Otávio O. Napoli; Vanderson Martins do Rosário (SBLP, 2021)

Smart selection of optimizations in dynamic compilers. - Vanderson Martins do Rosario; Anderson Faustino da Silva; Thais Aparecida Silva Camacho; Otávio O. Napoli; Maurício Breternitz; Edson Borin (Concurr. Comput. Pract. Exp., 2021)

Efficiency and scalability of multi-lane capsule networks (MLCN). - Vanderson Martins do Rosario; Maurício Breternitz Jr.; Edson Borin (J. Parallel Distributed Comput., 2021)

PB3Opt: Profile-based biased Bayesian optimization to select computing clusters on the cloud. - Thais Aparecida Silva Camacho; Vanderson Martins do Rosario; Otávio Oliveira Napoli; Edson Borin (Concurr. Comput. Pract. Exp., 2023)

Fast selection of compiler optimizations using performance prediction with graph neural networks. - Vanderson Martins do Rosario; Anderson Faustino da Silva; André Felipe Zanella; Otávio O. Napoli; Edson Borin (Concurr. Comput. Pract. Exp., 2023)

The Droplet Search Algorithm for Kernel Scheduling. - Michael Canesche; Vanderson Martins do Rosário; Edson Borin; Fernando Magno Quintão Pereira (ACM Trans. Archit. Code Optim., 2024)

Fusion of Operators of Computational Graphs via Greedy Clustering: The XNNC Experience. - Michael Canesche; Vanderson Martins do Rosario; Edson Borin; Fernando Magno Quintão Pereira (CC, 2025)