Date |
Speakers |
Topic |
30-Aug |
Organization
|
|
Sept. 6 |
Chris
Collazo |
Using Deep Learning Algorithms to |
|
|
Identify Area at Risk in Acute Myocardial
Infarction |
Sept. 13 |
Prof. Sudeep Sarkar |
A
Perceptual Prediction Framework |
|
|
for Self-Supervised Event Detection
and Segmentation |
Predicting
Longitudinal User Activity at |
||
Sept. 20 |
Renhao Liu |
Fine Time
Granularity in Online |
Collaborative
Platforms |
||
Sept. 27 |
Prof. Harry
Kim - Korea Univ. |
Interpretation
of Neural Networks |
|
|
|
October 4 |
Mark Boger |
Generating
Near and Far Analogies |
for
Educational Applications: |
||
Progress
and Challenges |
||
October 11 |
Neal Sambu |
Detecting
Digitally Forged Faces in Online Videos |
October 18 |
Prof. Xiaopeng Li |
Control of Connected Autonomous Vehicles in Mixed Traffic: Modeling, Data Analysis and Field Experiments |
October 25 |
Pranab
Mohanty - VP Machine Learning & AI, Fidelity Investments |
Modernization of Financial Applications using Artificial Intelligence |
Nov. 1 |
Karl
Ricanek Jr., Univ. of North Carolina, Wilmington |
What is Algorithm Bias? How does it apply to AI-based
Face Systems? |
Nov. 8 |
Prof.
Mubarak Shah - UCF |
Video Capsule Networks: Human Action Detection, Video Object Segmentation |
and Video Segmentation Conditioned on Text |
||
Nov. 15 |
Rahul Paul |
Mitigating Adversarial Attacks on Medical Image Understanding Systems |
Nov. 22 |
Saeed Al-Ahmari |
Automatic Cell Counting using Active Deep Learning and Unbiased Stereology |
Nov. 29 |
No Seminar
- Thanksgiving |
|
Dec. 6 |
No Seminar
- Reading Day |
Date |
Time |
Room |
Name |
Topic |
||
Updated
08/30/2019