| 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 |
| 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 |
| 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 arXiv preprint arXiv:2106.09777, 2021 | 14 | 2021 |
| The unreasonable effectiveness of inverse reinforcement learning in advancing cancer research J Kalantari, H Nelson, N Chia Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 437-445, 2020 | 11 | 2020 |
| 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 |
| Covid-19 mortality prediction from deep learning in a large multistate ehr and lis dataset: algorithm development and validation S Sankaranarayanan, J Balan, JR Walsh, Y Wu, SJ Minnich, AL Piazza, ... J Med Internet Res 23 (9), e30157, 2021 | 5 | 2021 |
| 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 |
| Beyond low earth orbit: biological research, artificial intelligence, and self-driving labs LM Sanders, JH Yang, RT Scott, AA Qutub, HG Martin, DC Berrios, ... arXiv preprint arXiv:2112.12582, 2021 | 2 | 2021 |
| Universally rank consistent ordinal regression in neural networks G Jenkinson, GR Oliver, K Khezeli, J Kalantari, EW Klee arXiv preprint arXiv:2110.07470, 2021 | 2 | 2021 |
| Estimating latent reward functions from experiences N Chia, IJ Kalantari US Patent App. 17/424,398, 2022 | 1 | 2022 |
| One-shot ontogenetic learning in biomedical datastreams J Kalantari, MA Mackey Artificial General Intelligence: 10th International Conference, AGI 2017 …, 2017 | 1 | 2017 |
| Unsupervised In-Silico Modeling of Complex Biological Systems J Kalantari IEEE International Conference on Self-Adaptive and Self-Organizing Systems …, 2016 | 1 | 2016 |
| Systems, Methods, and Media for Training a Model for Improved Out of Distribution Performance IJ Kalantari, K Khezeli US Patent App. 17/970,771, 2023 | | 2023 |
| Federated causal inference for out-of-distribution generalization in predicting physiological effects of radiation exposure L Sanders, P Duckworth, O O'Donoghue, L Scheibenreif, G Ughi, ... AGU Fall Meeting Abstracts 2021, IN12A-04, 2021 | | 2021 |
| The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research JK N Chia, H Nelson Association for the Advancement of Artificial Intelligence (AAAI) 2020, 2020 | | 2020 |
| A general purpose artificial intelligence framework for the analysis of complex biological systems JI Kalantari The University of Iowa, 2017 | | 2017 |
| A Computational Abstraction for Multi-Dimensional Syntactic Pattern Recognition JI Kalantari, MA Mackey Proceedings of the 12th International Conference on Complex Systems, 2015 | | 2015 |
| Machine Learning, Artificial Intelligence and Data Modeling for the Next Decade of Space Biology Research and Astronaut Health Support E Antonsen, J Babdor, SE Baranzini, R Barker, A Beheshti, DC Berrios, ... | | |
