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Session 3A - Machine Learning I
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Date: Friday, May 31, 2024
Time: 3:45 PM -5:45 PM
Location: MOHICAN ROOM (#310) | Chair: |
Dr. Tooran Emami |
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Paper |
Presented By |
Author(s) |
| 1. | Classification with Reject in Bayesian Deep Learning for Semantic Segmentation: Automating Pixelwise Reject Thresholds Using Bayes Error. (005) | Osama Abuomar | Osama Abuomar, Alexander DeForge |
| 2. | Using Machine Learning and Google Earth Engine to Understand Land Use and Land Cover Classifications and NO2 Levels in California (108) | | Ethan Scheys, Eyiara Oladipo, Benyamain Yacoob, Andre Price |
| 3. | Optimizing Machine Learning Data Pre-Processing
for Financial Fraud Detection (009) | | Nicholas B.N. Nyakundi, Matthew Bower, Shawn Reynolds, Rajesh Godasu |
| 4. | Threshold-Feedforward Neural Network (T-FNN) for Tractor Automated Ground Leveling (AGL) (043) | Tien-Chuong Lim | Tien-Chuong Lim |
| 5. | Machine Learning Models for Prediction of Metal Ion Concentrations in Drinking Water (032) | Nehpal Shekhawat | Nehpal Singh Shekhawat, Sangmin Oh, Cristinel Ababei, Chung Hoon Lee, Dong Hye Ye |
| 6. | Traffic State Estimation Using Hybrid Physics-Regulated Deep Transfer Learning Approach (065) | Daryl Mupupuni | Anupama Guntu, Daryl Mupupuni, Liang Hong, Kamrul Hasan, Lee-Hyun Keel |