| Day by day, hour by hour: Naturalistic language input to infants E Bergelson, A Amatuni, S Dailey, S Koorathota, S Tor Developmental science 22 (1), e12715, 2019 | 152 | 2019 |
| Robust and interpretable convolutional neural networks to detect glaucoma in optical coherence tomography images KA Thakoor, SC Koorathota, DC Hood, P Sajda IEEE Transactions on Biomedical Engineering 68 (8), 2456-2466, 2020 | 51 | 2020 |
| AutoML using metadata language embeddings I Drori, L Liu, S Koorathota, N Yi, J Li, A Moretti, J Freire, M Udell NeurIPS Workshop on Meta-Learning, 2019 | 26 | 2019 |
| Integrating neural and ocular attention reorienting signals in virtual reality P Lapborisuth, S Koorathota, Q Wang, P Sajda Journal of Neural Engineering 18 (6), 066052, 2022 | 13 | 2022 |
| Sequence Models in Eye Tracking: Predicting Pupil Diameter During Learning S Koorathota, K Thakoor, P Adelman, P Mao, Yaoli, Liu, Xueqing, Sajda ACM Symposium on Eye Tracking Research and Applications, 3, 2020 | 5 | 2020 |
| Autonomic indices and loss-of-control eating in adolescents: An ecological momentary assessment study LM Ranzenhofer, S Solhjoo, RD Crosby, BH Kim, R Korn, S Koorathota, ... Psychological medicine 53 (10), 4742-4750, 2023 | 4 | 2023 |
| Editing like humans: a contextual, multimodal framework for automated video editing S Koorathota, P Adelman, K Cotton, P Sajda Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 4 | 2021 |
| A Recurrent Neural Network for Attenuating Non-Cognitive Components of Pupil Dynamics SC Koorathota, K Thakoor, H Linbi, Y Mao, P Adelman, P Sajda Frontiers in Psychology 12, 12, 2021 | 3 | 2021 |
| 6 & 7-month-olds noun input: Human and automated corpus analyses S Koorathota, S Morton, A Amatuni, E Bergelson International Conference on Infant Studies, 2016 | 2* | 2016 |
| Pupil-linked arousal modulates network-level EEG signatures of attention reorienting during immersive multitasking P Lapborisuth, S Koorathota, P Sajda Journal of Neural Engineering 20 (4), 046043, 2023 | 1 | 2023 |
| Multimodal deep learning systems for analysis of human behavior, preference, and state S Koorathota Columbia University, 2023 | 1 | 2023 |
| Multimodal neurophysiological transformer for emotion recognition S Koorathota, Z Khan, P Lapborisuth, P Sajda 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 1 | 2022 |
| Amark: Automated marking and processing techniques for ambulatory ECG data S Koorathota, RP Sloan arXiv preprint arXiv:2005.14115, 2020 | 1 | 2020 |
| Pupil-linked arousal correlates with neural activity prior to sensorimotor decisions S Koorathota, JL Ma, J Faller, L Hong, P Lapborisuth, P Sajda Journal of Neural Engineering 20 (6), 066031, 2023 | | 2023 |
| Fixating on Attention: Integrating Human Eye Tracking into Vision Transformers S Koorathota, N Papadopoulos, JL Ma, S Kumar, X Sun, A Mittal, ... arXiv preprint arXiv:2308.13969, 2023 | | 2023 |
| Neurophysiological predictors of self-reported difficulty in a virtual-reality driving scenario JL Ma, S Koorathota, P Sajda 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| Heart rate variability is associated with global cognition and cognitive impairment: Results from the einstein aging study CA Derby, J Qin, G Liu, S Koorathota, C Wang, RP Sloan Alzheimer's & Dementia 19, e064226, 2023 | | 2023 |
| Improving Prediction of Cognitive Performance using Deep Neural Networks in Sparse Data S Koorathota, A Mittal, RP Sloan, P Sajda arXiv preprint arXiv:2112.14314, 2021 | | 2021 |
| Using Deep Neural Networks To Predict Cognitive Performance SC Koorathota, P Sajda, GP Liu, M Lachman, RP Sloan Psychosomatic Medicine 82 (6), A116-A116, 2020 | | 2020 |
| Effects of Heart Rate on Blood Pressure and Blood Pressure Variability S Koorathota, RP Sloan, J Schwartz Psychosomatic Medicine 81 (4), A43-A43, 2019 | | 2019 |
