Vincent Corvinelli

According to our database, Vincent Corvinelli authored at least 10 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Roq: Robust Query Optimization Based on a Risk-aware Learned Cost Model.

Amin Kamali, Verena Kantere, Calisto Zuzarte, Vincent Corvinelli

CoRR, 2024

2023

BLUTune: Tuning Up IBM Db2 with ML.

Connor Henderson, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Hybrid Cost Model for Evaluating Query Execution Plans.

Ning Wang, Amin Kamali, Verena Kantere, Calisto Zuzarte, Vincent Corvinelli, Brandon Frendo, Steve Donoghue

Proceedings of the Sixth IEEE International Conference on Artificial Intelligence and Knowledge Engineering, 2023

2022

BLUTune: Query-informed Multi-stage IBM Db2 Tuning via ML.

Connor Henderson, Spencer Bryson, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Scalable Learning to Troubleshoot Query Performance Problems.

Alexandar Mihaylov, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Query predicate selectivity using machine learning in Db2^®.

Waikeat Tan, Mohammed Alhamid, Mohamad Kalil, Ronghao Yang, Vincent Corvinelli, Calisto Zuzarte, Liam Finnie

Proceedings of the CASCON '21: Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 22, 2021

2020

Pred-cache: a predictive caching method in database systems.

Omar El Zarif, Safwat Hassan, Ying Zou, Calisto Zuzarte, Vincent Corvinelli, Mohammed Alhamid

Proceedings of the CASCON '20: Proceedings of the 30th Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 10, 2020

2019

Guided automated learning for query workload re-optimization.

Guilherme Damasio, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Alexandar Mihaylov, Jaroslaw Szlichta, Calisto Zuzarte

Proc. VLDB Endow., 2019

GALO: Guided Automated Learning for re-Optimization.

Guilherme Damasio, Spencer Bryson, Vincent Corvinelli, Parke Godfrey, Piotr Mierzejewski, Jaroslaw Szlichta, Calisto Zuzarte

Proc. VLDB Endow., 2019

2015

Cardinality estimation using neural networks.

Henry Liu, Mingbin Xu, Ziting Yu, Vincent Corvinelli, Calisto Zuzarte

Proceedings of 25th Annual International Conference on Computer Science and Software Engineering, 2015