Renato Luiz de Freitas Cunha

40 papers A 1B 3C 1Journal 25Unranked 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture.
CoRR
Maria Angels de Luis Balaguer, Vinamra Benara, Renato Luiz de Freitas Cunha, Roberto de M. Estevão Filho, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo O. Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra
2023 J jnl
A Comprehensive Modeling Approach for Crop Yield Forecasts using AI-based Methods and Crop Simulation Models.
CoRR
Renato Luiz de Freitas Cunha, Bruno Silva, Priscilla Barreira Avegliano
2023 J jnl
An SMDP approach for Reinforcement Learning in HPC cluster schedulers.
Future Gener. Comput. Syst.
Renato Luiz de Freitas Cunha, Luiz Chaimowicz
2022 — —
Markov decision processes for optimizing job scheduling with Reinforcement Learning
Renato Luiz de Freitas Cunha
2021 B conf
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds.
e-Science
Renato Luiz de Freitas Cunha, Lucas Correia Villa Real, Renan Souza, Bruno Silva, Marco A. S. Netto
2021 J jnl
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds.
CoRR
Renato Luiz de Freitas Cunha, Lucas Villa Real, Renan Souza, Bruno Silva, Marco A. S. Netto
2021 — conf
On the Impact of MDP Design for Reinforcement Learning Agents in Resource Management.
BRACIS (1)
Renato Luiz de Freitas Cunha, Luiz Chaimowicz
2021 J jnl
On the impact of MDP design for Reinforcement Learning agents in Resource Management.
CoRR
Renato Luiz de Freitas Cunha, Luiz Chaimowicz
2020 J jnl
Estimating crop yields with remote sensing and deep learning.
CoRR
Renato Luiz de Freitas Cunha, Bruno Silva
2020 J jnl
Predicting Account Receivables with Machine Learning.
CoRR
Ana Paula Appel, Gabriel Louzada Malfatti, Renato Luiz de Freitas Cunha, Bruno Lima, Rogério de Paula
2020 B conf
Towards a common environment for learning scheduling algorithms.
MASCOTS
Renato Luiz de Freitas Cunha, Luiz Chaimowicz
2019 — ch.
Databases as a Service.
Encyclopedia of Big Data Technologies
Renato Luiz de Freitas Cunha
2018 — conf
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast.
eScience
Renato Luiz de Freitas Cunha, Bruno Silva, Marco A. S. Netto
2018 J jnl
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast.
CoRR
Igor Oliveira, Renato Luiz de Freitas Cunha, Bruno Silva, Marco A. S. Netto
2018 C conf
An Argument in Favor of Strong Scaling for Deep Neural Networks with Small Datasets.
SBAC-PAD
Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana, Dário Augusto Borges Oliveira
2018 J jnl
An argument in favor of strong scaling for deep neural networks with small datasets.
CoRR
Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana, Dário Augusto Borges Oliveira
2018 — conf
DeepDownscale: A Deep Learning Strategy for High-Resolution Weather Forecast.
eScience
Eduardo Rocha Rodrigues, Igor Oliveira, Renato Luiz de Freitas Cunha, Marco A. S. Netto
2018 J jnl
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast.
CoRR
Eduardo R. Rodrigues, Igor Oliveira, Renato Luiz de Freitas Cunha, Marco A. S. Netto
2018 J jnl
HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges.
ACM Comput. Surv.
Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Rajkumar Buyya
2018 J jnl
JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications.
CoRR
Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha
2018 J jnl
JobPruner: A machine learning assistant for exploring parameter spaces in HPC applications.
Future Gener. Comput. Syst.
Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha
2018 — conf
Temporally Evolving Community Detection and Prediction in Content-Centric Networks.
ECML/PKDD (2)
Ana Paula Appel, Renato Luiz de Freitas Cunha, Charu C. Aggarwal, Marcela Megumi Terakado
2018 J jnl
Temporally Evolving Community Detection and Prediction in Content-Centric Networks.
CoRR
Ana Paula Appel, Renato Luiz de Freitas Cunha, Charu C. Aggarwal, Marcela Megumi Terakado
2017 J jnl
Determining Song Similarity via Machine Learning Techniques and Tagging Information.
CoRR
Renato Luiz de Freitas Cunha, Evandro Caldeira, Luciana Fujii
2017 J jnl
HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges.
CoRR
Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Rajkumar Buyya
2017 J jnl
Job placement advisor based on turnaround predictions for HPC hybrid clouds.
Future Gener. Comput. Syst.
Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Leonardo P. Tizzei, Marco A. S. Netto
2016 — conf
Helping HPC Users Specify Job Memory Requirements via Machine Learning.
HUST@SC
Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Marco A. S. Netto, Michael Spriggs
2016 J jnl
Helping HPC Users Specify Job Memory Requirements via Machine Learning.
CoRR
Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Marco A. S. Netto, Michael Spriggs
2016 J jnl
Impact of user patience on auto-scaling resource capacity for cloud services.
Future Gener. Comput. Syst.
Marcos Dias de Assunção, Carlos Cardonha, Marco A. S. Netto, Renato Luiz de Freitas Cunha
2016 J jnl
Job Placement Advisor Based on Turnaround Predictions for HPC Hybrid Clouds.
CoRR
Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Leonardo P. Tizzei, Marco A. S. Netto
2016 J jnl
Managing sensitive applications in the public cloud.
IBM J. Res. Dev.
Kirk A. Beaty, J. M. Chow, Renato Luiz de Freitas Cunha, K. K. Das, M. F. Hulber, Ashish Kundu, V. Michelini, E. R. Palmer
2016 — conf
SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments.
WORKS@SC
Bruno Silva, Marco Aurélio Stelmar Netto, Renato Luiz de Freitas Cunha
2016 J jnl
SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments.
CoRR
Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha
2015 J jnl
Deciding When and How to Move HPC Jobs to the Cloud.
Computer
Marco A. S. Netto, Renato Luiz de Freitas Cunha, Nicole Sultanum
2014 B conf
Evaluating Auto-scaling Strategies for Cloud Computing Environments.
MASCOTS
Marco Aurélio Stelmar Netto, Carlos Cardonha, Renato Luiz de Freitas Cunha, Marcos D. Assunção
2014 — conf
Exploiting User Patience for Scaling Resource Capacity in Cloud Services.
IEEE CLOUD
Renato Luiz de Freitas Cunha, Marcos D. Assunção, Carlos Cardonha, Marco Aurélio Stelmar Netto
2014 J jnl
RTSMate: Towards an Advice System for RTS Games.
Comput. Entertain.
Renato Luiz de Freitas Cunha, Marlos C. Machado, Luiz Chaimowicz
2013 A conf
Patience-Aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom.
ICSOC
Carlos Cardonha, Marcos Dias de Assunção, Marco Aurélio Stelmar Netto, Renato Luiz de Freitas Cunha, Carlos Queiroz
2013 J jnl
Patience-aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom.
CoRR
Carlos Cardonha, Marcos Dias de Assunção, Marco Aurélio Stelmar Netto, Renato Luiz de Freitas Cunha, Carlos Queiroz
2010 — conf
An Artificial Intelligence System to Help the Player of Real-Time Strategy Games.
SBGames
Renato Luiz de Freitas Cunha, Luiz Chaimowicz