Edward Kim

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 8

Top Topics

Scene Recognition

Action Detection

Sparse Learning

Top Venues

Publications

Darryl Hannan, Steven C. Nesbit, Ximing Wen, Glen Smith, Qiao Zhang, Alberto Goffi, Vincent Chan, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Rosina O. Weber, Christopher J. MacLellan
Interpretable Models for Detecting and Monitoring Elevated Intracranial Pressure. CoRR (2024)
Darryl Hannan, Ragib Arnab, Gavin Parpart, Garrett T. Kenyon, Edward Kim, Yijing Watkins
Event-to-Video Conversion for Overhead Object Detection. CoRR (2024)
Edward Kim, Maryam Daniali, Jocelyn Rego, Garrett T. Kenyon
The Selectivity and Competition of the Mind's Eye in Visual Perception. ICASSP (2024)
Darryl Hannan, Ragib Arnab, Gavin Parpart, Garrett T. Kenyon, Edward Kim, Yijing Watkins
Event-To-Video Conversion for Overhead Object Detection. SSIAI (2024)
Ximing Wen, Rosina O. Weber, Anik Sen, Darryl Hannan, Steven C. Nesbit, Vincent Chan, Alberto Goffi, Michael J. Morris, John C. Hunninghake, Nicholas E. Villalobos, Edward Kim, Christopher J. MacLellan
The Impact of an XAI-Augmented Approach on Binary Classification with Scarce Data. CoRR (2024)
Andrew O'Brien, Edward Kim, Rosina Weber
Basis Learning for Dynamical Systems in the Presence of Incomplete Scientific Knowledge. AIKE (2023)
Andrew O'Brien, Edward Kim, Rosina Weber
Investigating Causally Augmented Sparse Learning as a Tool for Meaningful Classification. AIKE (2023)
Edward Kim, Lucy Robinson, Isamu Isozaki, Noreen Robertson, Charles B. Cairns, Satvik Tripathi, Vicki Seyfert-Margolis
A Coronavirus Cohort Case Study - Dataset Trends using Machine Learning Methods. BIBM (2023)