Enriching representation learning using 53 million patient notes through human phenotype ontology embedding M Daniali, PD Galer, D Lewis-Smith, S Parthasarathy, E Kim, DD Salvucci, ... Artificial Intelligence in Medicine 139, 102523, 2023 | 20 | 2023 |
The selectivity and competition of the mind’s eye in visual perception E Kim, M Daniali, J Rego, GT Kenyon ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 3 | 2024 |
Perception Over Time: Temporal Dynamics for Robust Image Understanding M Daniali, E Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
Understanding driver behavior after concussion: A machine-learning approach M Daniali, DD Salvucci, MT Schultheis Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64 (1 …, 2020 | 3 | 2020 |
Phenotype embedding M Daniali Source Code, 2023 | 2 | 2023 |
Leveraging Representation Learning on the Human Phenotype Ontology M Daniali, S Ganesan, PD Galer, S Parthasarathy, E Kim, DD Salvucci, ... MidAtlantic Bioinformatics Conference, 2021 | 1 | 2021 |
Representation Learning on Sequential and Temporal Data Manifolds M Daniali Drexel University, 2023 | | 2023 |
Object Detection Over Time: Conservative Correct Humans vs. Overconfident Incorrect Machines M Daniali, E Kim Grace Hopper Celebration 21 (1), 2021 | | 2021 |
Deep Learning is Confidently Incorrect Over Time M Daniali, E Kim | | 2021 |
Driving After Concussion; An Innovative Combination of Virtual Reality and Machine Learning Classifiers M Split, M Daniali, JM Tessier, DD Salvucci, MT Schultheis International Neuropsychological Society (INS) 48 (1), 2020 | | 2020 |
Using Machine Learning to Understand Post-concussion Driving M Daniali, DD Salvucci ACM Student Research Competition (SRC), Grace Hopper Conference, 2020 | | 2020 |
Perception Over Time: Temporal Dynamics for Robust Image Understanding Supplementary Material M Daniali, E Kim | | |