Date |
Speakers |
Topic |
Jan. 15 |
Organization
|
|
Jan. 22 |
Keval Doshi |
A Modular and Unified Framework for Video Anomaly Detection |
|
|
CT Image for CNN's
|
Jan. 29 |
Daniel Sawyer |
Action Recognition in Video Using Deep Learning Methods |
|
|
|
Feb. 5 |
Animesh Nighojkar |
Can paraphrase detection grasp logical meaning
|
|
||
Feb. 12 |
Michael Berthold |
Widening - Using Parallel Resources to Improve Model Quality (or: Better, not Faster) |
|
|
|
Feb. 19 |
Anuj Srivastava, Florida State University |
Statistical Analysis of Structural Data in Biological Domains |
|
||
Feb. 26 |
Dr. Barbra Han, Cary Institute |
Using AI to predict animal reservoirs of emerging zoonotic diseases
|
Mar. 5 |
Dr. Narayan Viswanadhan |
AI in medical imaging: A Radiologists Experience and Perspective |
Mar. 12 |
Cole Hill, USF |
Automatic Detection of Vehicles in Satellite Images for Economic Monitoring |
Mar. 19 |
Jackie Hausmann, USF |
Accurate Neonatal Face Detection in a Clinical Setting |
Mar. 26 |
Jim Mirzakhalov, USF |
Turkic Interlingua: A Case Study of Extending NLP Research Beyond English |
Apr. 2 |
|
User Perceptions of Ubiquitous Sensing and Privacy-Preserving Mood Detection Via Smartphone Sensing
|
Apr. 9 |
Chris Collazo |
Bootstrapped Semantic Preprocessing Facilitates Effective Active Deep Learning for Medical Datasets with Limited Ground Truth |
Apr. 16 |
Spring Break, No Talk |
|
Apr. 23 |
CANCELED |
|
Apr. 30 |
Palak Dave |
A practical method of digital stain separation for deep learning-based automatic cell profile counts
|
Date |
Time |
Room |
Name |
Topic |
||
|
|
|
|
|
||
Updated
01/23/2020