Seminar

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Wednesday, September 23, 2020 1:00 pm - 1:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Artificial Intelligence — Sentiment Lexicon Induction and Interpretable Multiple-instance Learning in Financial Markets

Please note: This master’s thesis presentation will be given online.

Chengyao Fu, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Alan Huang and Yuying Li

Sentiment analysis has been widely used in the domain of finance. There are two most common textual sentiment analysis methods in finance: \textit{dictionary-based approach} and \textit{machine learning approach}.

Friday, September 11, 2020 9:00 am - 9:00 am EDT (GMT -04:00)

PhD Seminar • Computer Graphics | Scientific Computing — Fast and Scalable Solvers for the Fluid Pressure Equations with Separating Solid Boundary Conditions

Please note: This PhD seminar will be given online.

Junyu Lai, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Justin Wan

Thursday, August 20, 2020 10:00 am - 10:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Machine Learning — Entropy-Based Aggregate Posterior Alignment Techniques for Deterministic Autoencoders and Implications for Adversarial Examples

Please note: This master’s thesis presentation will be given online.

Amur Ghose, Master’s candidate
David R. Cheriton School of Computer Science

Friday, August 7, 2020 11:00 am - 11:00 am EDT (GMT -04:00)

PhD Seminar • Computer Graphics — AnimationPak: Packing Elements with Scripted Animations

Please note: This PhD seminar will be given online.

Reza Adhitya Saputra, PhD candidate
David R. Cheriton School of Computer Science

We present AnimationPak, a technique to create animated packings by arranging animated two-dimensional elements inside a static container. We represent animated elements in a three-dimensional spacetime domain, and view the animated packing problem as a three-dimensional packing in that domain. Every element is represented as a discretized spacetime mesh.