CSCE 496/896 (Spring 2018) Oral Presentation Schedule
Note:
Please email me your slides at least an hour before your presentation
session. Then I can put it on the server ahead of time.
Doing so will speed things up for everyone.
You are expected to attend as many talks as possible, and are required to
attend those during regular class periods.
You should consider your presentation's scheduled time slot final unless you
have a conflict that you absolutely cannot change. This is to prevent
constant modifications of the presentation schedule, which require alterations
to everyone else's schedules.
Unless otherwise noted, each talk will be 13 minutes, plus 2
minutes for questions. Hence a total of 15 minutes is allotted per talk.
However, this is only an approximation! Don't
assume that your talk will start exactly at the time implied by the
given schedule.
For group projects, all
group members are expected to participate in the presentation.
The grading focus during your oral presentations is on the presentation, not
the content. You are, of course, expected to have some results
completed by
your presentation, but it is understood that you will continue work between
your oral presentation and submission of your final report. Thus, the content
and results of your project will be graded as part of your written report.
- Session 1
10:30–11:20, Monday, April 16, Avery 110
- Mohammad Ebrahim Mohammadi and Alex Sturtz
3D Object Detection
- Christopher Larsen, Tyler Bienhoff, and Mitchell DeHaven
Intrusion Detection
- Yu Pan
Graph Representation Learning
- Session 2
10:30–11:20, Wednesday, April 18, Avery 110
- William Turner
Classification of Locus of Control in Robot Users
- Jingchao Zhang
Deep Learning to Predict Open Science Grid Job Preemptions
- Dong Xu and Mitchell Gerrard
Deep Learning with Software Contracts
- Session 3
10:30–11:20, Friday, April 20, Avery 110
- Pedro Albuquerque
Deep RL to Hit a Target
- Baofeng Zhou, Fujuan Guo, Mohammad Lunar, Rigoberto Wong, and Zhongyuan Zhao
Deep RL for Dynamic Spectrum Access [23+2 minutes]
- Session 4
10:30–11:20, Monday, April 23, Avery 110
- Chongsheng Cheng, Guanyao Xu, and Zhexiong Shang
Semantic Segmentation of OCT Images
- Aziza AlZadjali, Mohammed Alali, and Arun Narenthiran Veeranampalayam Sivakumar
Corn tassel detection from UAV images
- Chulwoo Pack, Parvez Rashid, and Michael Shanahan
Image Binarization with Convolutional Autoencoders
- Session 5
10:30–11:20, Wednesday, April 25, Avery 110
- Daniel Geschwender, Jeevan Rajagopal, and Yanfeng Liu
Deep RL in StarCraft II
- Haixiang Zhang, Jianan Liu, Lizhi Qu, and Tao Yao
Deep RL in StarCraft II [18+2 minutes]
- Brandon Geren, Luis Ramirez, and Tanner Marino
Deep RL in Super Smash Bros. Melee
- Session 6
10:30–11:20, Friday, April 27, Avery 110
- Cale Harms, Colton Harper, and Venkata Sunkara
Defense Against Adversarial Examples
- Carl Hildebrandt
Mutation Testing of Deep Neural Networks for the use of Creating Adversarial Images
- Course evaluations
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Last modified 23 April 2018; please report problems to
sscott.