Embedded Files
Enriching representation learning using 53 million patient notes through human phenotype ontology embedding
Maryam Daniali, Peter D Galer, David Lewis-Smith, Shridhar Parthasarathy, Edward Kim, Dario D Salvucci, Jeffrey M Miller, Scott Haag, Ingo Helbig
Artificial Intelligence in Medicine, 2023
Perception Over Time: Temporal Dynamics for Robust Image Understanding
Maryam Daniali, Edward Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2023
Leveraging Representation Learning on the Human Phenotype Ontology
Maryam Daniali, Shiva Ganesan, Peter D. Galer, Shridhar Parthasarathy, Edward Kim, Dario D. Salvucci, Jeffrey M. Miller, Ingo Helbig, Scott Haag
MidAtlantic Bioinformatics Conference, 2021
Object Detection Over Time: Conservative Correct Humans vs. Overconfident Incorrect Machines
Maryam Daniali, Edward Kim
Grace Hopper Conference, 2021
Anomaly detection in driving behavior: Is post-concussion driving safe?
Maryam Daniali, Edward Kim, Dario D. Salvucci
preprint, 2021
Deep Learning is Confidently Incorrect Over Time
Maryam Daniali, Edward Kim
Women in Computer Vision Workshop, CVPR 2021
Understanding Driver Behavior after Concussion: A Machine-Learning Approach
Maryam Daniali, Dario D. Salvucci, Maria T. Schultheis
Proceedings of the Human Factors and Ergonomics Society, 64th Annual Meeting, 2020
The Selectivity and Competition of the Mind's Eye in Visual Perception
Edward Kim, Maryam Daniali, Jocelyn Rego, Garrett T. Kenyon
arXiv preprint arXiv:2011.11167, 2020
Using Machine Learning to Understand Post-concussion Driving in a Virtual Reality Setting
Maryam Daniali, Dario D. Salvucci
ACM Student Research Competition (SRC), Grace Hopper Conference, 2020
Molly Split, Maryam Daniali, Jillian M. Tessier, Dario D. Salvucci, Maria T. Schultheis
International Neuropsychological Society (INS), 2020
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