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Rodrigo Alves Lima
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2020 – today
- 2021
- [c9]Joshua Kimball, Rodrigo Alves Lima, Abhijit Suprem, Qingyang Wang, Yasuhiko Kanemasa, Calton Pu:
PerfML: Smart Management of Complex Performance Data and Analytics. CogMI 2021: 146-155 - [c8]Calton Pu, Qingyang Wang, Yasuhiko Kanemasa, Rodrigo Alves Lima, Joshua Kimball, Shungeng Zhang, Jianshu Liu, Xuhang Gu:
A Functional Model and Analysis of Next Generation Malware Attacks and Defenses. TPS-ISA 2021: 197-206 - 2020
- [j1]Calton Pu, Abhijit Suprem, Rodrigo Alves Lima, Aibek Musaev, De Wang, Danesh Irani, Steve Webb, João Eduardo Ferreira:
Beyond Artificial Reality: Finding and Monitoring Live Events from Social Sensors. ACM Trans. Internet Techn. 20(1): 2:1-2:21 (2020) - [c7]Rodrigo Alves Lima, Joshua Kimball, João Eduardo Ferreira, Calton Pu:
Wise Toolkit: Enabling Microservice-Based System Performance Experiments. CLOUD 2020: 152-163 - [c6]Calton Pu, Abhijit Suprem, Rodrigo Alves Lima:
Challenges and Opportunities in Rapid Epidemic Information Propagation with Live Knowledge Aggregation from Social Media. CogMI 2020: 131-140 - [c5]Joshua Kimball, Rodrigo Alves Lima, Yasuhiko Kanemasa, Calton Pu:
PerfDB: A Data Management System for Fine-Grained Performance Anomaly Detection. CIC 2020: 97-106 - [c4]Joshua Kimball, Rodrigo Alves Lima, Calton Pu:
Finding Performance Patterns from Logs with High Confidence. ICWS 2020: 164-178 - [i2]Calton Pu, Abhijit Suprem, Rodrigo Alves Lima:
Challenges and Opportunities in Rapid Epidemic Information Propagation with Live Knowledge Aggregation from Social Media. CoRR abs/2011.05416 (2020)
2010 – 2019
- 2019
- [c3]Rodrigo Alves Lima, Joshua Kimball, João Eduardo Ferreira, Calton Pu:
Systematic Construction, Execution, and Reproduction of Complex Performance Benchmarks. CLOUD 2019: 26-37 - [c2]Abhijit Suprem, Rodrigo Alves Lima, Bruno Padilha, João Eduardo Ferreira, Calton Pu:
Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking in Multi-Camera Networks. CogMI 2019: 23-32 - [i1]Abhijit Suprem, Rodrigo Alves Lima, Bruno Padilha, João Eduardo Ferreira, Calton Pu:
Robust, Extensible, and Fast: Teamed Classifiers for Vehicle Tracking in Multi-Camera Networks. CoRR abs/1912.04423 (2019) - 2018
- [c1]Rodrigo Alves Lima, Calton Pu, Bruno Padilha, Pedro Losco Takecian, Leonardo Tadashi Kamaura, João Eduardo Ferreira:
Modeling Time-Critical Processes with WED-Flow. ICWS 2018: 34-48
Coauthor Index
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