83 citations · 175 across the 8 of their papers we have counts for
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cs.LG2023
Inherently Interpretable Time Series Classification via Multiple Instance Learning
Joseph Early, Gavin KC Cheung, Kurt Cutajar +3
Conventional Time Series Classification (TSC) methods are often black boxes that obscure inherent interpretation of their decision-making processes. In this work, we leverage Multi…
cs.LG2023★ 1 cited
Low-count Time Series Anomaly Detection
Philipp Renz, Kurt Cutajar, Niall Twomey +2
Low-count time series describe sparse or intermittent events, which are prevalent in large-scale online platforms that capture and monitor diverse data types. Several distinct chal…