Jacob Thrasher

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 6

Top Topics

Selective Sampling

Supervised Learning

Top Venues

Publications

Jacob Thrasher, Alina Devkota, Ahmed Tafti, Binod Bhattarai, Prashnna K. Gyawali
TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis. CoRR (2024)
FNU Shivam, Megan Leight, Mary Kate Kelly, Claire Davis, Kelsey Clodfelter, Jacob Thrasher, Yenumula Reddy, Prashnna K. Gyawali
Segmentation of Maya hieroglyphs through fine-tuned foundation models. CoRR (2024)
Jacob Thrasher, Annahita Amireskandari, Prashnna K. Gyawali
Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques. CoRR (2024)
Chuanbo Hu, Jacob Thrasher, Wenqi Li, Mindi Ruan, Xiangxu Yu, Lynn K. Paul, Shuo Wang, Xin Li
Exploring Speech Pattern Disorders in Autism using Machine Learning. CoRR (2024)
Chuanbo Hu, Shan Jia, Fan Zhang, Changjiang Xiao, Mindi Ruan, Jacob Thrasher, Xin Li
UPDExplainer: an Interpretable Transformer-based Framework for Urban Physical Disorder Detection Using Street View Imagery. CoRR (2023)
Jacob Thrasher, Alina Devkota, Prasiddha Siwakotai, Rohit Chivukula, Pranav Poudel, Chaunbo Hu, Binod Bhattarai, Prashnna K. Gyawali
Multimodal Federated Learning in Healthcare: a review. CoRR (2023)