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Schedule for Seminar in
AI for Spring 2023. 1pm ENB 118 |
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Sponsored by the Institute for AI+X |
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| This
weekly seminar will focus on broad research issues in artificial
intelligence, image analysis, computer vision, pattern recognition, robotics,
applied machine learning and other relevant fields. |
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purpose of the seminar is to provide the participants with the understanding
of current research in these areas, as well as to promote greater awareness
and interaction between multiple research groups within USF |
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in the Tampa Bay area. The format of the course is informal. Scheduled
presentation by participants and invited speakers are followed by question
and answer period. The seminar is open to all
interested in AI research. |
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and researchers interested in these fields are also invited to in person or
virtually attend. Please contact Larry Hall (lohall@mail.usf.edu) to be added
to the mailing list to get the link for a lecture. |
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| Date |
Speaker |
Talk Title |
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| 13-Jan |
Organizational meeting |
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| 20-Jan |
Harlin Lee, UCLA |
Learning with graphs and networks: from theory and methods to
applications in social science |
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| 27-Jan |
Yili Ren, FSU |
Intelligent Wireless Systems: from Human Sensing to Object
Detection |
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| 3-Feb |
Nikolai Fetisov |
Survival Time Prediction from Unannotated Lung Cancer
Histopathology Images |
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| 10-Feb |
Zhao Han, Colorado School of Mines |
Bridging The Gap Between Robots and Humans Through
Explainability |
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| 17-Feb |
John Licato |
ChatGPT, Cheating, and Chaos: What All Educators Need to Know,
and What's Next |
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| 24-Feb |
Saeed Al-Hamari |
Repeatability in Training Deep Learning Models |
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| 3-Mar |
Nan Wu, UC Santa Barbara |
Infusing Intelligence for Next Generation Hardware Development |
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| 10-Mar |
Animesh Nighojkar |
Modeling Semantic Fluency using Transformers: Can AI predict
what you'll say next? |
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| 17-Mar |
Spring Break |
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| 24-Mar |
Logan Fields |
Individual Identification for Collectible Card Games with
Dynamic States |
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| 31-Mar |
Ankur Mali |
The Predictive Forward-Forward Algorithm |
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| 7-Apr |
Imran Hossain |
Explainable Artificial Intelligence (XAI) |
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| 14-Apr |
Yijie Wang, Indiana University |
Building interpretable machine learning models using sparse
learning |
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| 21-Apr |
Mohammad Noroozi |
An AI-Assisted Systematic
Literature Review of the Impact of Vehicle Automation on Energy Consumption |
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| 28-Apr |
Fadlullah Raji |
3D Imaging Around Corners with an Ordinary Camera via
Physics-Driven Generative Models |
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