2024
Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Subgroup discovery for structured target concepts.
PhD thesis, 2023

2022
Omen: discovering sequential patterns with reliable prediction delays.
Knowl. Inf. Syst., 2022

Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
SUSAN: The Structural Similarity Random Walk Kernel.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

2019
Discovering Robustly Connected Subgraphs with Simple Descriptions.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
From sets of good redescriptions to good sets of redescriptions.
Knowl. Inf. Syst., 2018

2017
Efficiently Discovering Locally Exceptional Yet Globally Representative Subgroups.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017