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2020 – today
- 2024
[c19]Greg Lee, Aishwarya Vaishali Sathyamurthi, Mark Hobbs:
Predicting Major Donor Prospects Using Machine Learning. ICAART (2) 2024: 462-470- [c18]Greg Lee
, Yi-Ling Wu, Jia-Yi Chen:
Effect of New Computing Curriculum: Results from Incoming High School Freshmen. ISSEP 2024: 18-29 - 2023
- [c17]Greg Lee, Ajith Kumar Veera Raghavan, Mark Hobbs:
Adding Time and Subject Line Features to the Donor Journey. ICAART (2) 2023: 45-54 - [c16]Greg Lee, Ajith Kumar Veera Raghavan, Mark Hobbs:
Effects of Feature Types on Donor Journey. ICAART (Revised Selected Paper) 2023: 141-163 - [c15]David Gregory LeBlanc, Greg Lee:
Automatically Generating Image Segmentation Datasets for Video Games. ICAART (3) 2023: 509-516 - [c14]Ian Adams, Roger D. Quinn, Greg Lee, Alexandra Kroeger, Erica Feuerbacher:
Autonomous Versus Manual Control of a Pasture Sanitation Robot. Living Machines (2) 2023: 363-377 - 2022
- [c13]Greg Lee, Jordan Pippy, Mark Hobbs:
Optimizing the Feature Set for Machine Learning Charitable Predictions. AI 2022: 631-645 - [c12]Ian Adams, Roger D. Quinn, Greg Lee, Alexandra Kroeger, Rebecca Thompson, Erica Feuerbacher:
Animal Acceptance of an Autonomous Pasture Sanitation Robot. Living Machines 2022: 366-377 - 2021
- [c11]David Gregory LeBlanc, Greg Lee:
General Deep Reinforcement Learning in NES Games. Canadian AI 2021 - 2020
- [c10]Greg Lee, Ajith Kumar Veera Raghavan, Mark Hobbs:
Machine Learning the Donor Journey. Canadian AI 2020: 368-374 - [c9]Greg Lee, Ajith Kumar Veera Raghavan, Mark Hobbs:
Improving the Donor Journey with Convolutional and Recurrent Neural Networks. ICMLA 2020: 913-920
2010 – 2019
- 2014
- [j4]Greg Lee, Vadim Bulitko, Elliot A. Ludvig:
Automated Story Selection for Color Commentary in Sports. IEEE Trans. Comput. Intell. AI Games 6(2): 144-155 (2014) - 2012
- [c8]Greg Lee, Vadim Bulitko, Elliot A. Ludvig:
Sports Commentary Recommendation System (SCoReS): Machine Learning for Automated Narrative. AIIDE 2012 - 2010
- [c7]Greg Lee, Vadim Bulitko:
Automated Storytelling in Sports: A Rich Domain to Be Explored. ICIDS 2010: 252-255
2000 – 2009
- 2008
- [j3]Greg Lee, Vadim Bulitko, Ilya Levner:
HSMM: Heuristic Search with Meta-Models for Image Interpretation. J. Multiple Valued Log. Soft Comput. 14(1-2): 129-144 (2008) - 2006
- [j2]Vadim Bulitko, Greg Lee:
Learning in Real-Time Search: A Unifying Framework. J. Artif. Intell. Res. 25: 119-157 (2006) - [c6]James A. Yaple, Greg Lee, James Barton:
Can you afford low cost storage? Int. CMG Conference 2006: 849-856 - [c5]Greg Lee, Vadim Bulitko:
Genetic algorithms for action set selection across domains: a demonstration. GECCO 2006: 1697-1704 - 2005
- [c4]Greg Lee, Vadim Bulitko:
GAMM: genetic algorithms with meta-models for vision. GECCO 2005: 2029-2036 - 2004
- [c3]Greg Lee, Vadim Bulitko, Ilya Levner:
Automated selection of vision operator libraries with evolutionary algorithms. IEEE Congress on Evolutionary Computation 2004: 1127-1134 - 2003
- [c2]Ilya Levner, Vadim Bulitko, Lihong Li, Greg Lee, Russell Greiner:
Towards Automated Creation of Image Interpretation Systems. Australian Conference on Artificial Intelligence 2003: 653-665
1990 – 1999
- 1998
- [j1]Stuart Koretz, Greg Lee:
Knowledge management and drug development. J. Knowl. Manag. 2(2): 53-58 (1998)
1980 – 1989
- 1985
- [c1]Pierre J. Malraison, Gershon Kedem, Greg Lee, Donald Meagher:
Solid modeling with hardware (panel session). SIGGRAPH 1985: 328
Coauthor Index
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