Sai S. Yerramreddy

According to our database, Sai S. Yerramreddy authored at least 5 papers between 2022 and 2024.

Collaborative distances:

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

2024

Optimizing Dataflow Systems for Scalable Interactive Visualization.

Junran Yang, Hyekang Kevin Joo, Sai S. Yerramreddy, Dominik Moritz, Leilani Battle

Proc. ACM Manag. Data, February, 2024

2023

An empirical assessment of machine learning approaches for triaging reports of static analysis tools.

Sai S. Yerramreddy, Austin Mordahl, Ugur Koc, Shiyi Wei, Jeffrey S. Foster, Marine Carpuat, Adam A. Porter

Empir. Softw. Eng., March, 2023

Extending Explainable Boosting Machines to Scientific Image Data.

Daniel Schug, Sai S. Yerramreddy, Rich Caruana, Craig Greenberg, Justyna P. Zwolak

CoRR, 2023

2022

Scalable Vega: Optimizing Declarative Visualization Languages.

Junran Yang, Hyekang Kevin Joo, Sai S. Yerramreddy, Siyao Li, Dominik Moritz, Leilani Battle

CoRR, 2022

Demonstration of VegaPlus: Optimizing Declarative Visualization Languages.

Junran Yang, Hyekang Kevin Joo, Sai S. Yerramreddy, Siyao Li, Dominik Moritz, Leilani Battle

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022