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ORCIDRenato Luiz de Freitas Cunha
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- affiliation: IBM Research, Sao Paulo, Brazil
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2020 – today
- 2024
[i17]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:
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture. CoRR abs/2401.08406 (2024)- 2023
- [j8]Renato Luiz de Freitas Cunha
, Luiz Chaimowicz:
An SMDP approach for Reinforcement Learning in HPC cluster schedulers. Future Gener. Comput. Syst. 139: 239-252 (2023) - [i16]Renato Luiz de Freitas Cunha, Bruno Silva, Priscilla Barreira Avegliano:
A Comprehensive Modeling Approach for Crop Yield Forecasts using AI-based Methods and Crop Simulation Models. CoRR abs/2306.10121 (2023) - 2021
- [c13]Renato Luiz de Freitas Cunha, Luiz Chaimowicz:
On the Impact of MDP Design for Reinforcement Learning Agents in Resource Management. BRACIS (1) 2021: 79-93 - [c12]Renato Luiz de Freitas Cunha, Lucas Correia Villa Real, Renan Souza, Bruno Silva, Marco A. S. Netto:
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds. e-Science 2021: 30-39 - [i15]Renato Luiz de Freitas Cunha, Lucas Villa Real, Renan Souza, Bruno Silva, Marco A. S. Netto:
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds. CoRR abs/2107.00187 (2021) - [i14]Renato Luiz de Freitas Cunha, Luiz Chaimowicz:
On the impact of MDP design for Reinforcement Learning agents in Resource Management. CoRR abs/2109.03202 (2021) - 2020
- [c11]Renato Luiz de Freitas Cunha, Luiz Chaimowicz:
Towards a common environment for learning scheduling algorithms. MASCOTS 2020: 1-8 - [i13]Renato Luiz de Freitas Cunha, Bruno Silva:
Estimating crop yields with remote sensing and deep learning. CoRR abs/2007.10882 (2020) - [i12]Ana Paula Appel, Gabriel Louzada Malfatti, Renato Luiz de Freitas Cunha, Bruno Lima, Rogério de Paula:
Predicting Account Receivables with Machine Learning. CoRR abs/2008.07363 (2020)
2010 – 2019
- 2019
- [r1]Renato Luiz de Freitas Cunha:
Databases as a Service. Encyclopedia of Big Data Technologies 2019 - 2018
- [j7]Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Rajkumar Buyya:
HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges. ACM Comput. Surv. 51(1): 8:1-8:29 (2018) - [j6]Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha:
JobPruner: A machine learning assistant for exploring parameter spaces in HPC applications. Future Gener. Comput. Syst. 83: 144-157 (2018) - [c10]Eduardo Rocha Rodrigues, Igor Oliveira, Renato Luiz de Freitas Cunha, Marco A. S. Netto:
DeepDownscale: A Deep Learning Strategy for High-Resolution Weather Forecast. eScience 2018: 415-422 - [c9]Renato Luiz de Freitas Cunha, Bruno Silva, Marco A. S. Netto:
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast. eScience 2018: 423-430 - [c8]Ana Paula Appel, Renato Luiz de Freitas Cunha, Charu C. Aggarwal, Marcela Megumi Terakado:
Temporally Evolving Community Detection and Prediction in Content-Centric Networks. ECML/PKDD (2) 2018: 3-18 - [c7]Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana, Dário Augusto Borges Oliveira:
An Argument in Favor of Strong Scaling for Deep Neural Networks with Small Datasets. SBAC-PAD 2018: 306-313 - [i11]Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha:
JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications. CoRR abs/1802.01030 (2018) - [i10]Igor Oliveira, Renato Luiz de Freitas Cunha, Bruno Silva, Marco A. S. Netto:
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast. CoRR abs/1806.09244 (2018) - [i9]Ana Paula Appel, Renato Luiz de Freitas Cunha, Charu C. Aggarwal, Marcela Megumi Terakado:
Temporally Evolving Community Detection and Prediction in Content-Centric Networks. CoRR abs/1807.06560 (2018) - [i8]Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Matheus Palhares Viana, Dário Augusto Borges Oliveira:
An argument in favor of strong scaling for deep neural networks with small datasets. CoRR abs/1807.09161 (2018) - [i7]Eduardo R. Rodrigues, Igor Oliveira, Renato Luiz de Freitas Cunha, Marco A. S. Netto:
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast. CoRR abs/1808.05264 (2018) - 2017
- [j5]Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Leonardo P. Tizzei, Marco A. S. Netto:
Job placement advisor based on turnaround predictions for HPC hybrid clouds. Future Gener. Comput. Syst. 67: 35-46 (2017) - [i6]Renato Luiz de Freitas Cunha, Evandro Caldeira, Luciana Fujii:
Determining Song Similarity via Machine Learning Techniques and Tagging Information. CoRR abs/1704.03844 (2017) - [i5]Marco A. S. Netto, Rodrigo N. Calheiros, Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Rajkumar Buyya:
HPC Cloud for Scientific and Business Applications: Taxonomy, Vision, and Research Challenges. CoRR abs/1710.08731 (2017) - 2016
- [j4]Marcos Dias de Assunção, Carlos Cardonha, Marco A. S. Netto, Renato Luiz de Freitas Cunha:
Impact of user patience on auto-scaling resource capacity for cloud services. Future Gener. Comput. Syst. 55: 41-50 (2016) - [j3]Kirk A. Beaty, J. M. Chow, Renato Luiz de Freitas Cunha, K. K. Das, M. F. Hulber, Ashish Kundu, V. Michelini, E. R. Palmer:
Managing sensitive applications in the public cloud. IBM J. Res. Dev. 60(2-3) (2016) - [c6]Bruno Silva, Marco Aurélio Stelmar Netto, Renato Luiz de Freitas Cunha:
SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments. WORKS@SC 2016: 4-14 - [c5]Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Marco A. S. Netto, Michael Spriggs:
Helping HPC Users Specify Job Memory Requirements via Machine Learning. HUST@SC 2016: 6-13 - [i4]Renato Luiz de Freitas Cunha, Eduardo R. Rodrigues, Leonardo P. Tizzei, Marco A. S. Netto:
Job Placement Advisor Based on Turnaround Predictions for HPC Hybrid Clouds. CoRR abs/1608.06310 (2016) - [i3]Eduardo R. Rodrigues, Renato Luiz de Freitas Cunha, Marco A. S. Netto, Michael Spriggs:
Helping HPC Users Specify Job Memory Requirements via Machine Learning. CoRR abs/1611.02905 (2016) - [i2]Bruno Silva, Marco A. S. Netto, Renato Luiz de Freitas Cunha:
SLA-aware Interactive Workflow Assistant for HPC Parameter Sweeping Experiments. CoRR abs/1611.02917 (2016) - 2015
- [j2]Marco A. S. Netto, Renato Luiz de Freitas Cunha, Nicole Sultanum:
Deciding When and How to Move HPC Jobs to the Cloud. Computer 48(11): 86-89 (2015) - 2014
- [j1]Renato Luiz de Freitas Cunha, Marlos C. Machado, Luiz Chaimowicz:
RTSMate: Towards an Advice System for RTS Games. Comput. Entertain. 12(1): 1:1-1:20 (2014) - [c4]Renato Luiz de Freitas Cunha, Marcos D. Assuncao, Carlos Cardonha, Marco Aurélio Stelmar Netto:
Exploiting User Patience for Scaling Resource Capacity in Cloud Services. IEEE CLOUD 2014: 448-455 - [c3]Marco Aurélio Stelmar Netto, Carlos Cardonha, Renato Luiz de Freitas Cunha, Marcos D. Assuncao:
Evaluating Auto-scaling Strategies for Cloud Computing Environments. MASCOTS 2014: 187-196 - 2013
- [c2]Carlos Cardonha, Marcos Dias de Assunção, Marco Aurélio Stelmar Netto, Renato Luiz de Freitas Cunha, Carlos Queiroz:
Patience-Aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom. ICSOC 2013: 550-557 - [i1]Carlos Cardonha, Marcos Dias de Assunção, Marco Aurélio Stelmar Netto, Renato Luiz de Freitas Cunha, Carlos Queiroz:
Patience-aware Scheduling for Cloud Services: Freeing Users from the Chains of Boredom. CoRR abs/1308.4166 (2013) - 2010
- [c1]Renato Luiz de Freitas Cunha, Luiz Chaimowicz:
An Artificial Intelligence System to Help the Player of Real-Time Strategy Games. SBGames 2010: 71-81
Coauthor Index
aka: Marco A. S. Netto
aka: Eduardo R. Rodrigues
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