Solid modeling with hardware (panel session). - Pierre J. Malraison; Gershon Kedem; Greg Lee; Donald Meagher (SIGGRAPH, 1985)

Knowledge management and drug development. - Stuart Koretz; Greg Lee (J. Knowl. Manag., 1998)

Towards Automated Creation of Image Interpretation Systems. - Ilya Levner; Vadim Bulitko; Lihong Li 001; Greg Lee; Russell Greiner (Australian Conference on Artificial Intelligence, 2003)

Automated selection of vision operator libraries with evolutionary algorithms. - Greg Lee; Vadim Bulitko; Ilya Levner (IEEE Congress on Evolutionary Computation, 2004)

GAMM: genetic algorithms with meta-models for vision. - Greg Lee; Vadim Bulitko (GECCO, 2005)

Can you afford low cost storage? - James A. Yaple; Greg Lee; James Barton (Int. CMG Conference, 2006)

Genetic algorithms for action set selection across domains: a demonstration. - Greg Lee; Vadim Bulitko (GECCO, 2006)

Learning in Real-Time Search: A Unifying Framework. - Vadim Bulitko; Greg Lee (J. Artif. Intell. Res., 2006)

HSMM: Heuristic Search with Meta-Models for Image Interpretation. - Greg Lee; Vadim Bulitko; Ilya Levner (J. Multiple Valued Log. Soft Comput., 2008)

Automated Storytelling in Sports: A Rich Domain to Be Explored. - Greg Lee; Vadim Bulitko (ICIDS, 2010)

Sports Commentary Recommendation System (SCoReS): Machine Learning for Automated Narrative. - Greg Lee; Vadim Bulitko; Elliot A. Ludvig (AIIDE, 2012)

Automated Story Selection for Color Commentary in Sports. - Greg Lee; Vadim Bulitko; Elliot A. Ludvig (IEEE Trans. Comput. Intell. AI Games, 2014)

Machine Learning the Donor Journey. - Greg Lee; Ajith Kumar Veera Raghavan; Mark Hobbs (Canadian AI, 2020)

Improving the Donor Journey with Convolutional and Recurrent Neural Networks. - Greg Lee; Ajith Kumar Veera Raghavan; Mark Hobbs (ICMLA, 2020)

General Deep Reinforcement Learning in NES Games. - David Gregory LeBlanc; Greg Lee (Canadian AI, 2021)

Optimizing the Feature Set for Machine Learning Charitable Predictions. - Greg Lee; Jordan Pippy; Mark Hobbs (AI, 2022)

Animal Acceptance of an Autonomous Pasture Sanitation Robot. - Ian Adams; Roger D. Quinn; Greg Lee; Alexandra Kroeger; Rebecca Thompson; Erica Feuerbacher (Living Machines, 2022)

Automatically Generating Image Segmentation Datasets for Video Games. - David Gregory LeBlanc; Greg Lee (ICAART (3), 2023)

Adding Time and Subject Line Features to the Donor Journey. - Greg Lee; Ajith Kumar Veera Raghavan; Mark Hobbs (ICAART (2), 2023)

Effects of Feature Types on Donor Journey. - Greg Lee; Ajith Kumar Veera Raghavan; Mark Hobbs (ICAART (Revised Selected Paper), 2023)

Autonomous Versus Manual Control of a Pasture Sanitation Robot. - Ian Adams; Roger D. Quinn; Greg Lee; Alexandra Kroeger; Erica Feuerbacher (Living Machines (2), 2023)

Predicting Major Donor Prospects Using Machine Learning. - Greg Lee; Aishwarya Vaishali Sathyamurthi; Mark Hobbs (ICAART (2), 2024)

Deep and Shallow Machine Learning for Predicting Major Donors. - Greg Lee; Aishwarya Vaishali Sathyamurthi; Mark Hobbs (ICAART (Revised Selected Paper, 2), 2024)

Effect of New Computing Curriculum: Results from Incoming High School Freshmen. - Greg Lee; Yi-Ling Wu; Jia-Yi Chen (ISSEP, 2024)