Tommy Liu

According to our database, Tommy Liu authored at least 6 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Explainable discovery of disease biomarkers: The case of ovarian cancer to illustrate the best practice in machine learning and Shapley analysis.

Weitong Huang, Hanna Suominen, Tommy Liu, Gregory Rice, Carlos Salomon, Amanda S. Barnard

J. Biomed. Informatics, May, 2023

Shapley Based Residual Decomposition for Instance Analysis.

Tommy Liu, Amanda S. Barnard

Proceedings of the International Conference on Machine Learning, 2023

2021

Fast derivation of Shapley based feature importances through feature extraction methods for nanoinformatics.

Tommy Liu, Amanda S. Barnard

Mach. Learn. Sci. Technol., 2021

2019

Using Evolutionary Algorithms for Hyperparameter Tuning and Network Reduction Techniques to Classify Core Porosity Classes Based on Petrographical Descriptions.

Tommy Liu, Jo Plested

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Using Restart Heuristics to Improve Agent Performance in Angry Birds.

Tommy Liu, Jochen Renz, Peng Zhang, Matthew Stephenson

Proceedings of the IEEE Conference on Games, 2019

2018

The CAMH Neuroinformatics Platform: A Hospital-Focused Brain-CODE Implementation.

David J. Rotenberg, Qing Chang, Natalia Potapova, Andy Wang, Marcia Hon, Marcos Sanches, Nikola Bogetic, Nathan Frias, Tommy Liu, Brendan Behan, Rachad El-Badrawi, Stephen C. Strother, Susan G. Evans, Jordan Mikkelsen, Tom Gee, Fan Dong, Stephen R. Arnott, Shuai Laing, Moyez Dharsee, Anthony L. Vaccarino, Mojib Javadi, Kenneth R. Evans, Damian Jankowicz

Frontiers Neuroinformatics, 2018