36 citations · 58 across the 2 of their papers we have counts for
3 papers
Lifelong Continual Learning for Anomaly Detection: New Challenges, Perspectives, and Insights
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski +1
Anomaly detection is of paramount importance in many real-world domains, characterized by evolving behavior. Lifelong learning represents an emerging trend, answering the need for…
WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data
Kamil Faber, Roberto Corizzo, Bartlomiej Sniezynski +2
Detecting relevant changes in dynamic time series data in a timely manner is crucially important for many data analysis tasks in real-world settings. Change point detection methods…
Adapting Everyday Manipulation Skills to Varied Scenarios
Pawel Gajewski, Paulo Ferreira, Georg Bartels +5
We address the problem of executing tool-using manipulation skills in scenarios where the objects to be used may vary. We assume that point clouds of the tool and target object can…