An Artificial Intelligence System to Help the Player of Real-Time Strategy Games. - Renato Luiz de Freitas Cunha; Luiz Chaimowicz (SBGames, 2010)

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 (ICSOC, 2013)

Exploiting User Patience for Scaling Resource Capacity in Cloud Services. - Renato Luiz de Freitas Cunha; Marcos D. Assuncao; Carlos Cardonha; Marco Aurélio Stelmar Netto (IEEE CLOUD, 2014)

Evaluating Auto-scaling Strategies for Cloud Computing Environments. - Marco Aurélio Stelmar Netto; Carlos Cardonha; Renato Luiz de Freitas Cunha; Marcos D. Assuncao (MASCOTS, 2014)

RTSMate: Towards an Advice System for RTS Games. - Renato Luiz de Freitas Cunha; Marlos C. Machado; Luiz Chaimowicz (Comput. Entertain., 2014)

Deciding When and How to Move HPC Jobs to the Cloud. - Marco A. S. Netto; Renato Luiz de Freitas Cunha; Nicole Sultanum (Computer, 2015)

Helping HPC Users Specify Job Memory Requirements via Machine Learning. - Eduardo R. Rodrigues; Renato Luiz de Freitas Cunha; Marco A. S. Netto; Michael Spriggs (HUST@SC, 2016)

SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments. - Bruno Silva; Marco Aurélio Stelmar Netto; Renato Luiz de Freitas Cunha (WORKS@SC, 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)

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)

Determining Song Similarity via Machine Learning Techniques and Tagging Information. - Renato Luiz de Freitas Cunha; Evandro Caldeira; Luciana Fujii (CoRR, 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)

A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast. - Renato Luiz de Freitas Cunha; Bruno Silva; Marco A. S. Netto (eScience, 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 (eScience, 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 (ECML/PKDD (2), 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 (SBAC-PAD, 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)

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)

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)

Databases as a Service. - Renato Luiz de Freitas Cunha (Encyclopedia of Big Data Technologies, 2019)

Towards a common environment for learning scheduling algorithms. - Renato Luiz de Freitas Cunha; Luiz Chaimowicz (MASCOTS, 2020)

Estimating crop yields with remote sensing and deep learning. - Renato Luiz de Freitas Cunha; Bruno Silva (CoRR, 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)

On the Impact of MDP Design for Reinforcement Learning Agents in Resource Management. - Renato Luiz de Freitas Cunha; Luiz Chaimowicz (BRACIS (1), 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 001; Bruno Silva; Marco A. S. Netto (e-Science, 2021)

Markov decision processes for optimizing job scheduling with Reinforcement Learning - Renato Luiz de Freitas Cunha (2022)

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)

An SMDP approach for Reinforcement Learning in HPC cluster schedulers. - Renato Luiz de Freitas Cunha; Luiz Chaimowicz (Future Gener. Comput. Syst., 2023)

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; et al. (CoRR, 2024)