Raoni Lourenco

Raoni Lourenco

he/his

Research Associate at University of Luxembourg/Snt

Publications

You can also find my articles on my Google Scholar profile.

Conference Papers

Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification

Published in The 40th Annual AAAI Conference on Artificial Intelligence (Main track), 2026

A counterfactual XAI method for explaining deep learning models in multivariate time series classification tasks.

Recommended citation: Cetina, A. P., Benguessoum, K., Lourenço, R., & Kubler, S. (2026). "Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification." The 40th Annual AAAI Conference on Artificial Intelligence (Main track).

Through the Lens of Explainability: Enhancing Trust in Remaining Useful Life Prognosis Models

Published in International Conference on Flexible Automation and Intelligent Manufacturing, 2024

Enhancing trust in remaining useful life prognosis models through explainability techniques.

Recommended citation: Benguessoum, K., Lourenço, R., Bourel, V., & Kubler, S. (2024). "Through the Lens of Explainability: Enhancing Trust in Remaining Useful Life Prognosis Models." International Conference on Flexible Automation and Intelligent Manufacturing, Springer, Cham.

AlphaD3M: An Open-Source AutoML Library for Multiple ML Tasks

Published in AutoML Conference (ABCD Track), 2023

An open-source AutoML library supporting multiple machine learning tasks.

Recommended citation: Lopez, R., Lourenço, R., Rampin, R., Castelo, S., Santos, A. S. R., Ono, J. H. P., Silva, C., & Freire, J. (2023). "AlphaD3M: An Open-Source AutoML Library for Multiple ML Tasks." AutoML Conference (ABCD Track).

DataPrism: Exposing Disconnect between Data and Systems

Published in ACM SIGMOD 2022, 2022

A system for exposing inconsistencies and disconnects between data specifications and system implementations.

Recommended citation: Galhotra, S., Fariha, A., Lourenço, R., Freire, J., Meliou, A., & Srivastava, D. (2022). "DataPrism: Exposing Disconnect between Data and Systems." ACM SIGMOD.

BugDoc: A System for Debugging Computational Pipelines

Published in ACM SIGMOD (demo), 2020

A demonstration of BugDoc, a system for debugging computational pipelines.

Recommended citation: Lourenço, R., Freire, J., & Shasha, D. (2020). "BugDoc: A System for Debugging Computational Pipelines." ACM SIGMOD (demo).

BugDoc: Algorithms to Debug Computational Processes

Published in ACM SIGMOD 2020, 2020

Algorithms for debugging computational processes in machine learning pipelines.

Recommended citation: Lourenço, R., Freire, J., & Shasha, D. (2020). "BugDoc: Algorithms to Debug Computational Processes." ACM SIGMOD.

Journal Articles

Decision support model for time series data augmentation method selection

Published in IEEE Access, 2024

A decision support model for selecting appropriate time series data augmentation methods.

Recommended citation: Joubaud, D., Kubler, S., Lourenço, R., Cordy, M., & Le Traon, Y. (2024). "Decision support model for time series data augmentation method selection." IEEE Access.

BugDoc: Iterative Debug and Explanation of Pipeline Executions

Published in VLDB Journal, 2022

A system for debugging computational pipelines through iterative debugging and explanation of execution traces.

Recommended citation: Lourenço, R., Freire, J., Simon, E., Weber, G., & Shasha, D. (2022). "BugDoc: Iterative Debug and Explanation of Pipeline Executions." VLDB Journal.

Workshops

Towards Trustworthy Human-Centered Manufacturing: A Decision Support Tool for {Model x Explainer} Selection

Published in AAAI International Workshop on Addressing Challenges and Opportunities in Human-Centric Manufacturing, 2026

A decision support tool for selecting model and explainer combinations in human-centered manufacturing systems.

Recommended citation: Benguessoum, K., Lourenço, R., Kubler, S., & Le Traon, Y. (2026). "Towards Trustworthy Human-Centered Manufacturing: A Decision Support Tool for {Model x Explainer} Selection." AAAI International Workshop on Addressing Challenges and Opportunities in Human-Centric Manufacturing.

Debugging Machine Learning Pipelines

Published in ACM SIGMOD Workshop on Data Management for End-to-End Machine Learning, 2019

Approaches for debugging machine learning pipelines in practice.

Recommended citation: Lourenço, R., Freire, J., & Shasha, D. (2019). "Debugging Machine Learning Pipelines." ACM SIGMOD Workshop on Data Management for End-to-End Machine Learning.

Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar

Published in ICML Workshop on Automated Machine Learning, 2019

Using reinforcement learning and grammars for automatic machine learning pipeline synthesis.

Recommended citation: Drori, I., Krishnamurthy, Y., Lourenço, R. de P., Rampin, R., Cho, K., Silva, C., & Freire, J. (2019). "Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar." ICML Workshop on Automated Machine Learning.

AlphaD3M: Machine Learning Pipeline Synthesis

Published in ICML Workshop on Automated Machine Learning, 2018

Machine learning pipeline synthesis for automated machine learning.

Recommended citation: Drori, I., Krishnamurthy, Y., Rampin, R., Lourenço, R. de P., Ono, J. P., Cho, K., Silva, C., & Freire, J. (2018). "AlphaD3M: Machine Learning Pipeline Synthesis." ICML Workshop on Automated Machine Learning.