603 citations · 614 across the 3 of their papers we have counts for
3 papers
cs.CV2016★ 4 cited
Multi-task Learning with Weak Class Labels: Leveraging iEEG to Detect Cortical Lesions in Cryptogenic Epilepsy
Bilal Ahmed, Thomas Thesen, Karen E. Blackmon +4
Multi-task learning (MTL) is useful for domains in which data originates from multiple sources that are individually under-sampled. MTL methods are able to learn classification mod…
cs.AI2011★ 603 cited
Identifying Mislabeled Training Data
C. E. Brodley, M. A. Friedl
This paper presents a new approach to identifying and eliminating mislabeled training instances for supervised learning. The goal of this approach is to improve classification accu…
astro-ph.IM2009★ 7 cited
Event Discovery in Time Series
Dan Preston, Pavlos Protopapas, Carla Brodley
The discovery of events in time series can have important implications, such as identifying microlensing events in astronomical surveys, or changes in a patient's electrocardiogram…