Publications

Learning from Uncertain Data: From Possible Worlds to Possible Models.

Published in NeurIPS, 2024

Overcoming Data Biases: Towards Enhanced Accuracy and Reliability in Machine Learning.

Published in IEEE Data Engineering Bulletin, 2024

Consistent Range Approximation for Fair Predictive Modeling.

Published in VLDB, 2023

Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher.

Published in SIGMOD (Demo), 2022

Interpretable Data-Based Explanations for Fairness Debugging.

Published in SIGMOD, 2022

Building Fast and Compact Sketches for Approximately Multi-Set Multi-Membership Querying.

Published in SIGMOD, 2021

ELLG: Explainable Lesion Learning and Generation for Diabetic Retinopathy Detection.

Published in IJCAI Workshop on Disease Computational Modeling, 2020

(Best Paper Award)