Dylan Lee

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 9

Top Topics

Consecutive Images

Benchmark Suite

Novice Programmers

Dissimilarity Measure

Top Venues

Publications

Dylan Lee, Austin Z. Henley, Bill Hinshaw, Rahul Pandita
OpenCBS: An Open-Source COBOL Defects Benchmark Suite. CoRR (2022)
Dylan Lee, Austin Z. Henley, Bill Hinshaw, Rahul Pandita
OpenCBS: An Open-Source COBOL Defects Benchmark Suite. ICSME (2022)
Austin Z. Henley, Julian Ball, Benjamin Klein, Aiden Rutter, Dylan Lee
An Inquisitive Code Editor for Addressing Novice Programmers' Misconceptions of Program Behavior. ICSE (SEET) (2021)
Sara Mousavi, Dylan Lee, Tatianna Griffin, Kelley Cross, Dawnie W. Steadman, Audris Mockus
SChISM: Semantic Clustering via Image Sequence Merging for Images of Human-Decomposition. WACV (2021)
Austin Z. Henley, Julian Ball, Benjamin Klein, Aiden Rutter, Dylan Lee
An Inquisitive Code Editor for Addressing Novice Programmers' Misconceptions of Program Behavior. CoRR (2021)
Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie W. Steadman, Audris Mockus
An Analytical Workflow for Clustering Forensic Images (Student Abstract). AAAI (2020)
Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie W. Steadman, Audris Mockus
An Analytical Workflow for Clustering Forensic Images. CoRR (2020)
Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie W. Steadman, Audris Mockus
Collaborative Learning of Semi-Supervised Clustering and Classification for Labeling Uncurated Data. CoRR (2020)
Sara Mousavi, Dylan Lee, Tatianna Griffin, Dawnie W. Steadman, Audris Mockus
Collaborative Learning Of Semi-Supervised Clustering And Classification For Labeling Uncurated Data. ICIP (2020)