| Predicting drug-resistant epilepsy—A machine learning approach based on administrative claims data S An, K Malhotra, C Dilley, E Han-Burgess, JN Valdez, J Robertson, ... Epilepsy & Behavior 89, 118-125, 2018 | 77 | 2018 |
| Automated annotation of epileptiform burden and its association with outcomes SF Zafar, ES Rosenthal, J Jing, W Ge, M Tabaeizadeh, H Aboul Nour, ... Annals of neurology 90 (2), 300-311, 2021 | 26 | 2021 |
| Longitudinal adversarial attack on electronic health records data S An, C Xiao, WF Stewart, J Sun The world wide web conference, 2558-2564, 2019 | 21 | 2019 |
| Wearable seismocardiography‐based assessment of stroke volume in congenital heart disease VG Ganti, AH Gazi, S An, AV Srivatsa, BN Nevius, CJ Nichols, AM Carek, ... Journal of the American Heart Association 11 (18), e026067, 2022 | 20 | 2022 |
| AdaptNet: Human activity recognition via bilateral domain adaptation using semi-supervised deep translation networks S An, A Medda, MN Sawka, CJ Hutto, ML Millard-Stafford, S Appling, ... IEEE Sensors Journal 21 (18), 20398-20411, 2021 | 19 | 2021 |
| Deep active learning for interictal ictal injury continuum EEG patterns W Ge, J Jing, S An, A Herlopian, M Ng, AF Struck, B Appavu, EL Johnson, ... Journal of neuroscience methods 351, 108966, 2021 | 19 | 2021 |
| Development of expert-level classification of seizures and rhythmic and periodic patterns during eeg interpretation J Jing, W Ge, S Hong, MB Fernandes, Z Lin, C Yang, S An, AF Struck, ... Neurology 100 (17), e1750-e1762, 2023 | 14 | 2023 |
| Smile: A system to support machine learning on EEG data at scale L Cao, W Tao, S An, J Jin, Y Yan, X Liu, W Ge, A Sah, L Battle, J Sun, ... Proceedings of the VLDB Endowment 12 (12), 2230-2241, 2019 | 14 | 2019 |
| Unifying the estimation of blood volume decompensation status in a porcine model of relative and absolute hypovolemia via wearable sensing JP Kimball, JS Zia, S An, C Rolfes, JO Hahn, MN Sawka, OT Inan IEEE Journal of Biomedical and Health Informatics 25 (9), 3351-3360, 2021 | 12 | 2021 |
| Fast human detection using gaussian particle swarm optimization ST An, JJ Kim, JW Lee, JJ Lee 5th IEEE International Conference on Digital Ecosystems and Technologies …, 2011 | 12 | 2011 |
| Interrater reliability of expert electroencephalographers identifying seizures and rhythmic and periodic patterns in EEGs J Jing, W Ge, AF Struck, MB Fernandes, S Hong, S An, S Fatima, ... Neurology 100 (17), e1737-e1749, 2023 | 11 | 2023 |
| SDAT: Simultaneous detection and tracking of humans using Particle Swarm Optimization ST An, JJ Kim, JJ Lee 2011 IEEE International Conference on Mechatronics and Automation, 483-488, 2011 | 10 | 2011 |
| Viva: semi-supervised visualization via variational autoencoders S An, S Hong, J Sun 2020 IEEE International Conference on Data Mining (ICDM), 22-31, 2020 | 6 | 2020 |
| Synthetic seismocardiogram generation using a transformer-based neural network M Nikbakht, AH Gazi, J Zia, S An, DJ Lin, OT Inan, R Kamaleswaran Journal of the American Medical Informatics Association 30 (7), 1266-1273, 2023 | 5 | 2023 |
| Quantifying asymmetry between medial and lateral compartment knee loading forces using acoustic emissions HK Jeong, S An, K Herrin, K Scherpereel, A Young, OT Inan IEEE Transactions on Biomedical Engineering 69 (4), 1541-1551, 2021 | 4 | 2021 |
| Unified detection and tracking of humans using gaussian particle swarm optimization ST An, JJ Kim, JJ Lee Journal of Institute of Control, Robotics and Systems 18 (4), 353-358, 2012 | 4 | 2012 |
| Maximum entropy information bottleneck for uncertainty-aware stochastic embedding S An, N Jammalamadaka, E Chong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Decentralized Task Re-planning Approaches with en Route Information Rewards SH Kim, ST An, HL Choi Robot Intelligence Technology and Applications 2012: An Edition of the …, 2013 | 3 | 2013 |
| Detection and tracking of humans using particle swarm optimization ST An, JJ Lee 제어로봇시스템학회 각 지부별 자료집, 40-44, 2011 | 3 | 2011 |
| A Comparison of Graph based and Fuzzy Inference System based Task Prioritizations for Airborne Multi-function Radars DS Jang, ST An, HL Choi, JE Roh KSAS Spring conference, 2012 | 2 | 2012 |
Omer T. InanProfessor and Linda J. and Mark C. Smith Chair, Georgia Tech在 ece.gatech.edu 的电子邮件经过验证
