Date |
Speakers |
Topic |
Jan. 14 |
Organization
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|
Jan. 21 |
Vikram Ravindra |
Computational Methods for Analysis of Functional Brain Images |
Jan. 28 |
Alfredo Weitzenfeld, CSE, USF |
A biologically inspired multi-scale computational model for spatial cognition in robots |
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|
Feb. 4 |
Morris Chang, USF |
Privacy-preserving Machine Learning |
|
|
|
Feb. 11 |
Nikolai Fetisov |
Survival Time Prediction From Unannotated Lung Cancer Histopathology Images
|
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|
|
Feb. 18 |
Antonio Laverghetta |
Predicting Psychometric Properties Using Artificial Intelligence |
|
||
Feb. 25 |
Eitan Agai |
Using ML/NLP for Contextual Classification of Evidence Synthesis
|
Mar. 4 |
Kin Lugo |
Social Media Activity Forecasting with Exogenous and Endogenous Signals |
Mar. 11 |
Zaid Marji |
Collecting Data for Automated Interpretive Reasoning |
Mar. 18 |
- |
Spring Break |
Mar. 25 |
- |
- |
Apr. 1 |
|
-
|
Apr. 8 |
Prof. Sudeep Sarkar |
Distinguished University Professor Lecture |
Apr. 15 |
Reza Ebrahimi - USF |
Developing Adversarially Robust Cyber Defense AI Agents with Deep Reinforcement Learning
|
Apr. 22 |
Prabha Balakrishnan UT Dallas |
Analytics, AI, and Health
|
Apr. 29 |
Fred Mubang |
Tentative: VAM: An End-to-End Simulator for Times Series Regression and
Temporal Link Prediction in Social Media Networks
|
Date |
Time |
Room |
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Topic |
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Updated
01/23/2020