| On information gain and regret bounds in gaussian process bandits S Vakili, K Khezeli, V Picheny International Conference on Artificial Intelligence and Statistics, 82-90, 2021 | 117 | 2021 |
| Risk-sensitive learning and pricing for demand response K Khezeli, E Bitar IEEE Transactions on Smart Grid 9 (6), 6000-6007, 2017 | 63 | 2017 |
| Safe Linear Stochastic Bandits K Khezeli, E Bitar Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020 | 31 | 2020 |
| COVID-19 mortality prediction from deep learning in a large multistate electronic health record and laboratory information system data set: Algorithm development and validation S Sankaranarayanan, J Balan, JR Walsh, Y Wu, S Minnich, A Piazza, ... Journal of medical Internet research 23 (9), e30157, 2021 | 29 | 2021 |
| A source-channel separation theorem with application to the source broadcast problem K Khezeli, J Chen IEEE Transactions on Information Theory 62 (4), 1764-1781, 2016 | 23 | 2016 |
| Biomonitoring and precision health in deep space supported by artificial intelligence RT Scott, LM Sanders, EL Antonsen, JJA Hastings, S Park, G Mackintosh, ... Nature Machine Intelligence 5 (3), 196-207, 2023 | 17 | 2023 |
| Biological research and self-driving labs in deep space supported by artificial intelligence LM Sanders, RT Scott, JH Yang, AA Qutub, H Garcia Martin, DC Berrios, ... Nature Machine Intelligence 5 (3), 208-219, 2023 | 16 | 2023 |
| Transformers in healthcare: A survey S Nerella, S Bandyopadhyay, J Zhang, M Contreras, S Siegel, A Bumin, ... arXiv preprint arXiv:2307.00067, 2023 | 15 | 2023 |
| Prototyping CRISP: a causal relation and inference search platform applied to colorectal cancer data S Budd, A Blaas, A Hoarfrost, K Khezeli, K D'Silva, F Soboczenski, ... 2021 IEEE 3rd Global Conference on Life Sciences and Technologies (LifeTech …, 2021 | 15 | 2021 |
| On Invariance Penalties for Risk Minimization K Khezeli, A Blaas, F Soboczenski, N Chia, J Kalantari https://arxiv.org/abs/2106.09777, 2021 | 14 | 2021 |
| Learning to buy (and sell) demand response K Khezeli, W Lin, E Bitar IFAC-PapersOnLine 50 (1), 6761-6767, 2017 | 12 | 2017 |
| Multi-dimensional patient acuity estimation with longitudinal EHR tokenization and flexible transformer networks B Shickel, B Silva, T Ozrazgat-Baslanti, Y Ren, K Khezeli, Z Guan, ... Frontiers in Digital Health 4, 1029191, 2022 | 9 | 2022 |
| Outer bounds on the admissible source region for broadcast channels with correlated sources K Khezeli, J Chen IEEE Transactions on Information Theory 61 (9), 4616-4629, 2015 | 8 | 2015 |
| AI-enhanced intensive care unit: revolutionizing patient care with pervasive sensing S Nerella, Z Guan, S Siegel, J Zhang, K Khezeli, A Bihorac, P Rashidi arXiv preprint arXiv:2303.06252, 2023 | 6 | 2023 |
| Beyond low earth orbit: biomonitoring, artificial intelligence, and precision space health RT Scott, EL Antonsen, LM Sanders, JJA Hastings, S Park, G Mackintosh, ... arXiv preprint arXiv:2112.12554, 2021 | 5 | 2021 |
| End-to-end machine learning framework for facial AU detection in intensive care units S Nerella, K Khezeli, A Davidson, P Tighe, A Bihorac, P Rashidi arXiv preprint arXiv:2211.06570, 2022 | 4 | 2022 |
| Invariant risk minimisation for cross-organism inference: substituting mouse data for human data in human risk factor discovery O O'Donoghue, P Duckworth, G Ughi, L Scheibenreif, K Khezeli, ... arXiv preprint arXiv:2111.07348, 2021 | 3 | 2021 |
| An online learning approach to buying and selling demand response K Khezeli, E Bitar arXiv preprint arXiv:1707.07342, 2017 | 3 | 2017 |
| Data-driven pricing of demand response K Khezeli, E Bitar 2016 IEEE International Conference on Smart Grid Communications …, 2016 | 3 | 2016 |
| An improved outer bound on the admissible source region for broadcast channels with correlated sources K Khezeli, J Chen 2014 IEEE International Symposium on Information Theory, 466-470, 2014 | 3 | 2014 |
Jun ChenElectrical and Computer Engineering, McMaster University在 mcmaster.ca 的电子邮件经过验证
