Renato Luiz de Freitas Cunha

According to our database, Renato Luiz de Freitas Cunha authored at least 28 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture.

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

CoRR, 2024

2023

An SMDP approach for Reinforcement Learning in HPC cluster schedulers.

Renato Luiz de Freitas Cunha, Luiz Chaimowicz

Future Gener. Comput. Syst., 2023

A Comprehensive Modeling Approach for Crop Yield Forecasts using AI-based Methods and Crop Simulation Models.

Renato Luiz de Freitas Cunha, Bruno Silva, Priscilla Barreira Avegliano

CoRR, 2023

2021

Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds.

Renato Luiz de Freitas Cunha, Lucas Correia Villa Real, Renan Souza, Bruno Silva, Marco A. S. Netto

Proceedings of the 17th IEEE International Conference on eScience, 2021

On the Impact of MDP Design for Reinforcement Learning Agents in Resource Management.

Renato Luiz de Freitas Cunha, Luiz Chaimowicz

Proceedings of the Intelligent Systems - 10th Brazilian Conference, 2021

2020

Predicting Account Receivables with Machine Learning.

Ana Paula Appel, Gabriel Louzada Malfatti, Renato Luiz de Freitas Cunha, Bruno Lima, Rogério de Paula

CoRR, 2020

Estimating crop yields with remote sensing and deep learning.

Renato Luiz de Freitas Cunha, Bruno Silva

CoRR, 2020

Towards a common environment for learning scheduling algorithms.

Renato Luiz de Freitas Cunha, Luiz Chaimowicz

Proceedings of the 28th International Symposium on Modeling, 2020

2019

Databases as a Service.

Renato Luiz de Freitas Cunha

Proceedings of the Encyclopedia of Big Data Technologies., 2019

2018

JobPruner: A machine learning assistant for exploring parameter spaces in HPC applications.

Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha

Future Gener. Comput. Syst., 2018

HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges.

Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Rajkumar Buyya

ACM Comput. Surv., 2018

A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast.

Igor Oliveira, Renato Luiz de Freitas Cunha, Bruno Silva, Marco A. S. Netto

CoRR, 2018

An Argument in Favor of Strong Scaling for Deep Neural Networks with Small Datasets.

Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana, Dário Augusto Borges Oliveira

Proceedings of the 30th International Symposium on Computer Architecture and High Performance Computing, 2018

Temporally Evolving Community Detection and Prediction in Content-Centric Networks.

Ana Paula Appel, Renato Luiz de Freitas Cunha, Charu C. Aggarwal, Marcela Megumi Terakado

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

DeepDownscale: A Deep Learning Strategy for High-Resolution Weather Forecast.

Eduardo Rocha Rodrigues, Igor Oliveira, Renato Luiz de Freitas Cunha, Marco A. S. Netto

Proceedings of the 14th IEEE International Conference on e-Science, 2018

A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast.

Renato Luiz de Freitas Cunha, Bruno Silva, Marco A. S. Netto

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

Job placement advisor based on turnaround predictions for HPC hybrid clouds.

Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Leonardo P. Tizzei, Marco A. S. Netto

Future Gener. Comput. Syst., 2017

Determining Song Similarity via Machine Learning Techniques and Tagging Information.

Renato Luiz de Freitas Cunha, Evandro Caldeira, Luciana Fujii

CoRR, 2017

2016

Managing sensitive applications in the public cloud.

Kirk A. Beaty, J. M. Chow, Renato Luiz de Freitas Cunha, K. K. Das, M. F. Hulber, Ashish Kundu, V. Michelini, E. R. Palmer

IBM J. Res. Dev., 2016

Impact of user patience on auto-scaling resource capacity for cloud services.

Marcos Dias de Assunção, Carlos Cardonha, Marco A. S. Netto, Renato Luiz de Freitas Cunha

Future Gener. Comput. Syst., 2016

SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments.

Bruno Silva, Marco Aurélio Stelmar Netto, Renato Luiz de Freitas Cunha

Proceedings of the 11th Workshop on Workflows in Support of Large-Scale Science co-located with The International Conference for High Performance Computing, 2016

Helping HPC Users Specify Job Memory Requirements via Machine Learning.

Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Marco A. S. Netto, Michael Spriggs

Proceedings of the 2016 Third International Workshop on HPC User Support Tools, 2016

2015

Deciding When and How to Move HPC Jobs to the Cloud.

Marco A. S. Netto, Renato Luiz de Freitas Cunha, Nicole Sultanum

Computer, 2015

2014

RTSMate: Towards an Advice System for RTS Games.

Renato Luiz de Freitas Cunha, Marlos C. Machado, Luiz Chaimowicz

Comput. Entertain., 2014

Evaluating Auto-scaling Strategies for Cloud Computing Environments.

Marco Aurélio Stelmar Netto, Carlos Cardonha, Renato Luiz de Freitas Cunha, Marcos D. Assuncao

Proceedings of the IEEE 22nd International Symposium on Modelling, 2014

Exploiting User Patience for Scaling Resource Capacity in Cloud Services.

Renato Luiz de Freitas Cunha, Marcos D. Assuncao, Carlos Cardonha, Marco Aurélio Stelmar Netto

Proceedings of the 2014 IEEE 7th International Conference on Cloud Computing, Anchorage, AK, USA, June 27, 2014

2013

Patience-Aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom.

Carlos Cardonha, Marcos Dias de Assunção, Marco Aurélio Stelmar Netto, Renato Luiz de Freitas Cunha, Carlos Queiroz

Proceedings of the Service-Oriented Computing - 11th International Conference, 2013

2010

An Artificial Intelligence System to Help the Player of Real-Time Strategy Games.

Renato Luiz de Freitas Cunha, Luiz Chaimowicz

Proceedings of the 2010 Brazilian Symposium on Games and Digital Entertainment, 2010