Date |
Speakers |
Topic |
Aug. 28 |
Organization
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Sep. 4 |
Mauricio Pamplona Segundo |
High-resolution Synthetic Fingerprint Generation |
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CT Image for CNN's
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Sep. 11 |
John Licato |
Analogical Reasoning: Separating human from machine (and animal) cognition |
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Sep. 18 |
Shaun Canavan, USF |
Affective Computing: Past, Present, and Future
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Sep. 25 |
Caio da Silva |
On Recurrent Neural Networks for Multivariate Time Series with Missing Values By Che, et. al. (https://www.nature.com/articles/s41598-018-24271-9), |
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Oct. 2 |
Issam El Naqua - Chair, Department of Machine Learning at Moffitt Cancer Center |
Machine Learning in decoding epi/genomic architecture and variant structures. |
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Oct. 9 |
Hunter Morera |
Abnormality Detection in Wireless Capsule Endoscopy Using Deep Neural Networks
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Oct. 16 |
Gilbert Rotich |
Representation Learning in Satellite Images for Fine-Grained Building Detection |
Oct. 23 |
Kaoutar Ben Ahmed |
Ensembles of Convolutional Neural Networks for Survival Time Estimation of High-grade Glioma Patients from Multimodal MRI |
Oct. 30 |
Alessandro Negro, Graph Aware |
Fighting COVID-19 by Finding Relevant Converging Research Patterns with Knowledge Graphs |
Nov. 6 |
Sven Dickinson, University of Toronto, Samsung Research |
The Role of Symmetry in Human and Computer Vision |
Nov. 13 |
|
Constructing a Human Digital Twin
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Nov. 20 |
Prof. Sriram Chellappan, USF |
AI Applications for the Surveillance of Mosquito Vectors and Habitats |
Dec. 4 |
Dr. Jayashree Kalpathy-Cramer, Harvard Medical School |
Deep learning in medical imaging- opportunities and challenges
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Room |
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Topic |
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Updated
01/23/2020