CSCE 478/878 (Fall 2014) 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.
- Session 1
9:30–10:45, Tuesday, December 2, Avery 19
- Phil Ringsmuth
Optical Character Recognition
- Nicholas Swanson
Computer Vision
- Mikaela Cashman
Bar Code Localization
- Jianping Zeng
GPU Implementation of Graph Clustering
- Bin Chen, Xi Chen, and Anish Timsina
Learning in Multi-Agent Systems
[18 minutes + 2 minutes for questions]
- Session 2
9:30–10:45, Thursday, December 4, Avery 19
- Kanghyeok Yang
Principal Component Analysis
- Evan Beachly
Reinforcement Learning in Pursuer-Evader Games
Srikanth Maturu
Optimization Techniques in SVMs
- Zhongyuan Zhao
Machine Learning in Wireless Communication Literature Analysis
- Ran Gu and Shijie Li
Optimization of k in k-Means Clustering
- Session 3
9:30–10:45, Tuesday, December 9, Avery 19
- Elham Foruzan and Mehdi Firouznia
Electricity Price Forecasting
- Paul Quint
ANN Prediction of Corn Prices
- Najeeb Najeeb
Predict Unmanned Aerial Vehicle (UAV) Weight Load
- Suraj Ketan
FCA-Based Approaches for Classification Problems
- Sutanu Gayen
Learning k-Juntas
- Session 4
3:30–5:00, Tuesday, December 9, Avery 119 Note different room!
- Zhexiong Shang
Machine Learning Techniques Applied in Construction Management
- Hamed Heydari
Software Defect Prediction
- Eric Rizzi
Constraints Generated During Program Verification
- Greg Atkin, Doug Wettlaufer, and Hariharan Arunachalam
American Time Use Survey Analysis [23 minutes + 2 minutes for questions]
- IUSE End-of-Semester Survey [20 minutes]
- Session 5
9:30–10:45, Thursday, December 11, Avery 19
- Kody Musick
Text Generation
- Sam Adams
Deep Learning for Semantic Natural Language Processing
- Lei Yu
Information Extraction from Journal Papers
- James Duin
Multiple-Instance Learning
- Paul Nispel
Models of Mind
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Last modified 09 December 2014; please report problems to
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