1 citations · 3 across the 21 of their papers we have counts for
4 papers · 1 filter
Data is Moody: Discovering Data Modification Rules from Process Event Logs
Marco Bjarne Schuster, Boris Wiegand, Jilles Vreeken
Although event logs are a powerful source to gain insight about the behavior of the underlying business process, existing work primarily focuses on finding patterns in the activity…
Finding Interpretable Class-Specific Patterns through Efficient Neural Search
Nils Philipp Walter, Jonas Fischer, Jilles Vreeken
Discovering patterns in data that best describe the differences between classes allows to hypothesize and reason about class-specific mechanisms. In molecular biology, for example,…
Understanding and Mitigating Classification Errors Through Interpretable Token Patterns
Michael A. Hedderich, Jonas Fischer, Dietrich Klakow +1
State-of-the-art NLP methods achieve human-like performance on many tasks, but make errors nevertheless. Characterizing these errors in easily interpretable terms gives insight int…
Towards Concept-Aware Large Language Models
Chen Shani, Jilles Vreeken, Dafna Shahaf
Concepts play a pivotal role in various human cognitive functions, including learning, reasoning and communication. However, there is very little work on endowing machines with the…