| Regression based performance modeling and provisioning for NoSQL cloud databases VAE Farias, FRC Sousa, JGR Maia, JPP Gomes, JC Machado Future Generation Computer Systems 79, 72-81, 2018 | 26 | 2018 |
| Machine learning approach for cloud nosql databases performance modeling VAE Farias, FRC Sousa, JGR Maia, JPP Gomes, JC Machado 2016 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2016 | 17 | 2016 |
| Towards improvements on the quality of service for multi-tenant RDBMS in the cloud LO Moreira, VAE Farias, FRC Sousa, GAC Santos, JGR Maia, ... 2014 IEEE 30th International Conference on Data Engineering Workshops, 162-169, 2014 | 15 | 2014 |
| Efficient and distributed dbscan algorithm using mapreduce to detect density areas on traffic data TLC da Silva, ACA Neto, RP Magalhaes, VAE de Farias, JAF de Macêdo, ... International Conference on Enterprise Information Systems 2, 52-59, 2014 | 11 | 2014 |
| Local dampening: Differential privacy for non-numeric queries via local sensitivity VAE Farias, FT Brito, C Flynn, JC Machado, S Majumdar, D Srivastava arXiv preprint arXiv:2012.04117, 2020 | 10 | 2020 |
| PopRing: A Popularity-aware Replica Placement for Distributed Key-Value Store. DM Cavalcante, VAE de Farias, FRC Sousa, MRP Paula, JC Machado, ... CLOSER 2018, 440-447, 2018 | 9 | 2018 |
| G2P: A partitioning approach for processing dbscan with mapreduce AC Araujo Neto, TL Coelho da Silva, VAE de Farias, JAF Macêdo, ... Web and Wireless Geographical Information Systems: 14th International …, 2015 | 7 | 2015 |
| b-Coloring graphs with large girth V Campos, VAE de Farias, A Silva Journal of the Brazilian Computer Society 18, 375-378, 2012 | 7 | 2012 |
| Workload-aware parameter selection and performance prediction for in-memory databases MIV Lima, VAE de Farias, FDBS Praciano, JC Machado Simpósio Brasileiro de Banco de Dados (SBBD), 169-180, 2018 | 6 | 2018 |
| Local dampening: differential privacy for non-numeric queries via local sensitivity VAE Farias, FT Brito, C Flynn, JC Machado, S Majumdar, D Srivastava the VLDB Journal 32 (6), 1191-1214, 2023 | 5 | 2023 |
| A Live Migration Approach for Multi-Tenant RDBMS in the Cloud. LO Moreira, FRC Sousa, JGR Maia, VAE de Farias, GAC Santos, ... SBBD (Short Papers), 13:1-13:6, 2013 | 5 | 2013 |
| Detecting Customer Induced Damages in Motherboards with Deep Neural Networks D Alves, V Farias, I Chaves, R Chao, JP Madeiro, JP Gomes, J Machado 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 4 | 2022 |
| Towards an Efficient and Distributed DBSCAN Algorithm Using MapReduce. TLC da Silva, ACA Neto, RP Magalhães, VAE de Farias, JAF de Macêdo, ... ICEIS (Revised Selected Papers), 75-90, 2014 | 4* | 2014 |
| Global and local differentially private release of count-weighted graphs FT Brito, VAE Farias, C Flynn, S Majumdar, JC Machado, D Srivastava Proceedings of the ACM on Management of Data 1 (2), 1-25, 2023 | 3 | 2023 |
| Gênero e formação de professores: Por uma prática pedagógica crítica e reflexiva em busca de equidade J Machado, J Da Luz, V Farias Seminario Internacional Fazendo Género II e 13th Women’s. Acessado em http …, 2017 | 3 | 2017 |
| Bacos: A dynamic load balancing strategy for cloud object storage MRP Paula, E Rodrigues, VAE Farias, FRC Sousa, JC Machado Anais do XXXV Simpósio Brasileiro de Redes de Computadores e Sistemas …, 2017 | 2 | 2017 |
| Elastic provisioning for cloud databases with uncertainty management VAE Farias, FRC Sousa, JGR Maia, JPP Gomes, JC Machado Proceedings of the 31st Annual ACM Symposium on Applied Computing, 390-397, 2016 | 2 | 2016 |
| Uma abordagem para a modelagem de desempenho e de elasticidade para bancos de dados em nuvem VAE Farias | 2 | 2016 |
| A machine learning approach for SQL queries response time estimation in the cloud VAE Farias, JGR Maia, FRC Sousa, LO Moreira, GAC Campos, ... Proceedings of the Simpósio Brasileiro de Banco de Dados (SBBD), 1-6, 2013 | 2 | 2013 |
| Auto Escalonamento Proativo para Banco de Dados em Nuvem VAE Farias, J MACHADO | 2* | |
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