CSCE 478/878 (Fall 2016) 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 16 minutes, plus 2 minutes for questions. Hence a total of 18 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
  12:30–1:45, Tuesday, November 29, Avery 19
1. Ian Howell and Li Derrick Zecheng
   Machine Learning in League of Legends
2. Kevin Allen and Lance Schendt
   ANNs in Games
3. Zeynep Hakguder and Haluk Dogan
   Chinese Restaurant Processes
4. Travis Russell and M. Ebrahim Mohammadi
   Segmentation of Point Cloud Data through the Decision Jungle Algorithm


• Session 2
  12:30–1:45, Thursday, December 1, Avery 19
1. Clayton Henderson and Jakob James Snyder
   Web Page Classification
2. Gary Eugene Wright and Michael James Block
   Machine Learning for Imputation
3. Zhe Zhang and Dongqi Lai
   Predicting Job Failures
4. Renjie Gui and Yan Xia
   Recommendation Systems for Movies


• Session 3
  3:30–5:20, Thursday, December 1, Avery 110
1. Lance Daharsh and Evan Kesinger
   Microbial Dysbiosis Analysis
2. Yu Bai and Fujuan Guo
   Machine Learning in Wireless Networks
3. Mohammad Lunar and Tri Nguyen
   Machine Learning in Wireless Networks
4. Shi Cao and Jieting Wu
   Credit Card Analysis with SVMs
5. Tyler Bienhoff and Matthew DeHaven
   Weighted Majority for Stock Market Prediction
6. Johnathan Neil and Maanas Varma Datla
   Machine Learning in Multi-Agent Systems


• Session 4
  12:30–1:45, Tuesday, December 6, Avery 19
1. Jesse Cameron and Colben Aldrich
   Image Classification using Convolutional Neural Networks
2. Feiyu Zhu and Baofeng Zhou
   Plant Classification with Convolutional Neural Networks
3. Jeevan Rajagopal and Merlin Tchamche Mpoudeu
   Automatic Speech Recognition
4. Jiachun Han and Srikanth Maturu
   A Comparison of Naive Bayes and ANNs on Optical Character Recognition


• Session 5
  12:30–1:45, Thursday, December 8, Avery 19
1. Brandon Geren and Aneesh Verenkar
   Social Network Analysis
2. Pooja Ahuja, Urja Acharya and Ajay Shankar
   Predicting User Intention for a Telepresence Robot
3. Dicle Yalcin and Amirsalar Mansouri
   Genetic Algorithms
4. Course Evaluations
   Bring a web-enabled mobile device

Last modified 29 November 2016; please report problems to sscott.