Debugging Machine Learning Pipelines. - Raoni Lourenço; Juliana Freire; Dennis E. Shasha (DEEM@SIGMOD, 2019)

Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar. - Iddo Drori; Yamuna Krishnamurthy; Raoni Lourenço; Rémi Rampin; Kyunghyun Cho; Cláudio T. Silva; Juliana Freire (CoRR, 2019)

BugDoc: Algorithms to Debug Computational Processes. - Raoni Lourenço; Juliana Freire; Dennis E. Shasha (SIGMOD Conference, 2020)

BugDoc: A System for Debugging Computational Pipelines. - Raoni Lourenço; Juliana Freire; Dennis E. Shasha (SIGMOD Conference, 2020)

DataExposer: Exposing Disconnect between Data and Systems. - Sainyam Galhotra; Anna Fariha; Raoni Lourenço; Juliana Freire; Alexandra Meliou; Divesh Srivastava (CoRR, 2021)

AlphaD3M: Machine Learning Pipeline Synthesis. - Iddo Drori; Yamuna Krishnamurthy; Rémi Rampin; Raoni de Paula Lourenço; Jorge Piazentin Ono; Kyunghyun Cho; Cláudio T. Silva; Juliana Freire (CoRR, 2021)

DataPrism: Exposing Disconnect between Data and Systems. - Sainyam Galhotra; Anna Fariha; Raoni Lourenço; Juliana Freire; Alexandra Meliou; Divesh Srivastava (SIGMOD Conference, 2022)

AlphaD3M: An Open-Source AutoML Library for Multiple ML Tasks. - Roque Lopez; Raoni Lourenço; Rémi Rampin; Sonia Castelo; Aécio S. R. Santos; Jorge Henrique Piazentin Ono; Cláudio T. Silva; Juliana Freire (AutoML, 2023)

BugDoc. - Raoni Lourenço; Juliana Freire; Eric Simon; Gabriel Weber; Dennis E. Shasha (VLDB J., 2023)

Correction to: BugDoc Iterative debugging and explanation of pipeline executions. - Raoni Lourenço; Juliana Freire; Eric Simon; Gabriel Weber; Dennis E. Shasha (VLDB J., 2023)

Decision Support Model for Time Series Data Augmentation Method Selection. - Dorian Joubaud; Sylvain Kubler; Raoni Lourenço; Maxime Cordy; Yves Le Traon (IEEE Access, 2024)