2 papers
cs.LG2025
Towards Explainable Deep Clustering for Time Series Data
Udo Schlegel, Gabriel Marques Tavares, Thomas Seidl
Deep clustering uncovers hidden patterns and groups in complex time series data, yet its opaque decision-making limits use in safety-critical settings. This survey offers a structu…
cs.LG2024
ALPBench: A Benchmark for Active Learning Pipelines on Tabular Data
Valentin Margraf, Marcel Wever, Sandra Gilhuber +3
In settings where only a budgeted amount of labeled data can be afforded, active learning seeks to devise query strategies for selecting the most informative data points to be labe…