PhD Seminar • Artificial Intelligence • Using Liquid Democracy for Low-Cost Ensemble Pruning
Please note: This seminar will take place online.
Ben Armstrong, PhD candidate
David R. Cheriton School of Computer Science
Supervisor:Professor Kate Larson
Ben Armstrong, PhD candidate
David R. Cheriton School of Computer Science
Supervisor:Professor Kate Larson
Armando Santos
Well-Typed/Haskell Consultants
Sayed Mohammad Amin Khodaee, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor J. Ian Munro
Christopher West, Master’s candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Anita Layton, Justin Wan
Kidney cancer is a well-studied and highly prevalent cancer in which tumors grow and obstruct the functional tissues of the kidney. Medical imaging is commonly used to diagnose and verify the presence of these kidney tumors and can give some qualitative intuition on the scope of their proliferation.
Sara Qunaibi, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Samer Al-Kiswany
We present a comprehensive empirical study of the impact partial network partitions have on cluster managers in data analysis frameworks. Our study shows that modern scheduling approaches are vulnerable to partial network partitions. Partial partitions can lead to a complete cluster pause or a significant loss of performance.
Zhenyang Xu, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Chengnian Sun
Robert Wang, PhD candidate
David R. Cheriton School of Computer Science
Vahid Asadi, PhD candidate
David R. Cheriton School of Computer Science
Theodore Vanderkooy, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Khuzaima Daudjee
Norhan Abbas, Master’s candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Mei Nagappan, Diogo Barradas