Cardinality estimation using neural networks. - Henry Liu; Mingbin Xu; Ziting Yu; Vincent Corvinelli; Calisto Zuzarte (CASCON, 2015)

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)

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)

Pred-cache: a predictive caching method in database systems. - Omar El Zarif; Safwat Hassan; Ying Zou 001; Calisto Zuzarte; Vincent Corvinelli; Mohammed Alhamid (CASCON, 2020)

Query predicate selectivity using machine learning in Db2®. - Waikeat Tan; Mohammed Alhamid; Mohamad Kalil; Ronghao Yang; Vincent Corvinelli; Calisto Zuzarte; Liam Finnie (CASCON, 2021)

Scalable Learning to Troubleshoot Query Performance Problems. - Alexandar Mihaylov; Vincent Corvinelli; Parke Godfrey; Piotr Mierzejewski; Jaroslaw Szlichta; Calisto Zuzarte (CIKM, 2021)

BLUTune: Query-informed Multi-stage IBM Db2 Tuning via ML. - Connor Henderson; Spencer Bryson; Vincent Corvinelli; Parke Godfrey; Piotr Mierzejewski; Jaroslaw Szlichta; Calisto Zuzarte (CIKM, 2022)

A Hybrid Cost Model for Evaluating Query Execution Plans. - Ning Wang; Amin Kamali; Verena Kantere; Calisto Zuzarte; Vincent Corvinelli; Brandon Frendo; Steve Donoghue (AIKE, 2023)

BLUTune: Tuning Up IBM Db2 with ML. - Connor Henderson; Vincent Corvinelli; Parke Godfrey; Piotr Mierzejewski; Jaroslaw Szlichta; Calisto Zuzarte (ICDE, 2023)

A novel framework for join order selection based on reinforcement and representation learning. - Chang Liu; Amin Kamali; Verena Kantere; Calisto Zuzarte; Vincent Corvinelli (IEEE Big Data, 2024)

RobOpt: A Tool for Robust Workload Optimization Based on Uncertainty-Aware Machine Learning. - Amin Kamali; Verena Kantere; Calisto Zuzarte; Vincent Corvinelli (SIGMOD Conference Companion, 2024)

Roq: Robust Query Optimization Based on a Risk-aware Learned Cost Model. - Amin Kamali; Verena Kantere; Calisto Zuzarte; Vincent Corvinelli (CoRR, 2024)

A Novel Framework Using Deep Reinforcement Learning for Join Order Selection. - Chang Liu; Amin Kamali; Verena Kantere; Calisto Zuzarte; Vincent Corvinelli (CoRR, 2024)

Db2une: Tuning Under Pressure via Deep Learning. - Alexander Bianchi; Andrew Chai; Vincent Corvinelli; Parke Godfrey; Jarek Szlichta; Calisto Zuzarte (Proc. VLDB Endow., 2024)

Db2une: Tuning IBM Db2 with Deep Learning. - Alexander Bianchi; Rafael Dolores; Andrew Chai; Vincent Corvinelli; Parke Godfrey; Jarek Szlichta; Calisto Zuzarte (ICDE, 2025)

GEX: Guiding Expert Tuning with eXplainable AI. - Andrew Chai; Alexander Bianchi; Vincent Corvinelli; Parke Godfrey; Jarek Szlichta; Calisto Zuzarte (ICDE, 2025)

Robust Plan Evaluation based on Approximate Probabilistic Machine Learning. - Amin Kamali; Verena Kantere; Calisto Zuzarte; Vincent Corvinelli (Proc. VLDB Endow., 2025)