Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Subgroup discovery for structured target concepts.
PhD thesis, 2023
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
SUSAN: The Structural Similarity Random Walk Kernel.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021
Discovering Robustly Connected Subgraphs with Simple Descriptions.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019
From sets of good redescriptions to good sets of redescriptions.
Knowl. Inf. Syst., 2018
Efficiently Discovering Locally Exceptional Yet Globally Representative Subgroups.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017