3 papers
cs.LG2026
In-Context Time Series Classification with Random Convolutional Features
Joscha Cüppers, Jilles Vreeken
Time series classification is central to domains like medical signal analysis, industrial monitoring, and sensor-based activity recognition, where class information manifests as lo…
cs.AI2025
Seqret: Mining Rule Sets from Event Sequences
Aleena Siji, Joscha Cüppers, Osman Ali Mian +1
Summarizing event sequences is a key aspect of data mining. Most existing methods neglect conditional dependencies and focus on discovering sequential patterns only. In this paper,…
cs.LG2024
Succinct Interaction-Aware Explanations
Sascha Xu, Joscha Cüppers, Jilles Vreeken
SHAP is a popular approach to explain black-box models by revealing the importance of individual features. As it ignores feature interactions, SHAP explanations can be confusing up…