| Faster reinforcement learning after pretraining deep networks to predict state dynamics CW Anderson, M Lee, DL Elliott 2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015 | 70 | 2015 |
| Gradient boosting in crowd ensembles for Q-learning using weight sharing DL Elliott, KC Santosh, C Anderson International Journal of Machine Learning and Cybernetics 11, 2275-2287, 2020 | 12 | 2020 |
| THE WISDOM OF THE CROWD: RELIABLE DEEP REINFORCEMENT LEARNING THROUGH ENSEMBLES OF Q-FUNCTIONS DL Elliott Colorado State University, 2018 | 11 | 2018 |
| EM in high-dimensional spaces BA Draper, DL Elliott, J Hayes, K Baek IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 35 …, 2005 | 11 | 2005 |
| Recurrent neural networks for moisture content prediction in seed corn dryer buildings DL Elliott, RE Valentine 2011 IEEE 23rd International Conference on Tools with Artificial …, 2011 | 6 | 2011 |
| Using supervised training signals of observable state dynamics to speed-up and improve reinforcement learning DL Elliott, C Anderson 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement …, 2014 | 5 | 2014 |
| Covariance regularization in mixture of gaussians for high-dimensional image classification DL Elliott Colorado State University, 2009 | 3 | 2009 |
| Cough Sound Analysis for the Evidence of Covid-19 N Rasmussen, DL Elliott, M Mamun, KC Santosh Computer Vision and Machine Intelligence: Proceedings of CVMI 2022, 501-512, 2023 | 2 | 2023 |
| Covariance Regularization for Supervised Learning in High Dimensions DL ELLIOTT, CW ANDERSON, M KIRBY Proceedings of ANNIE, 2010 | 2 | 2010 |
| An adversarial machine-learning-based approach and biomechanically guided validation for improving deformable image registration accuracy between a planning CT and cone-beam CT … AP Santhanam, M Lauria, B Stiehl, D Elliott, S Seshan, S Hsieh, M Cao, ... Medical Imaging 2020: Image Processing 11313, 139-148, 2020 | 1 | 2020 |
| A multi-institutional feasibility study of a novel cloud-based and GPU-accelerated clinical workflow for adaptive radiotherapy A Santhanam, DL Elliott, P Potrebko, S Seshan, M Cao, D Low Proceedings of the AAPM, 2019 | 1 | 2019 |
| On the Feasibility of On-Table Adaptive Prostate Radiotherapy Using An Adversarial and Biomechanically Guided Machine Learning Approach for Deformable Image Registration of … A Santhanam, M Lauria, B Stiehl, D Elliott, S Seshan, S Hsieh, A Kishan, ... MEDICAL PHYSICS 47 (6), E642-E643, 2020 | | 2020 |
| On the Feasibility of Daily Delivered Dose Evaluation Using RTapp for Adaptive Lung SBRT Treatments N Zulkarnain, D Mathew, C Cho, A Santhanam, D Elliott, S Seshan, ... MEDICAL PHYSICS 47 (6), E642-E642, 2020 | | 2020 |
| Automated Dose Accumulation for Online Adaptive Radiotherapy of Head and Neck Cancers S Gros, A Santhanam, D Elliott, J Roeske, R Patel, H Kang MEDICAL PHYSICS 47 (6), E582-E582, 2020 | | 2020 |
| Minimizing Parotid Gland Overdose in Head and Neck Radiotherapy by Using On-Table Delivered Dose Computations and Treatment Adaptation A Santhanam, M Lauria, B Stiehl, D Elliott, S Seshan, D Ruan, R Chin, ... MEDICAL PHYSICS 47 (6), E638-E638, 2020 | | 2020 |
| Session 14 - Healthcare: Exploring Task Decomposition with Ensemble Approach using Reinforcement Learning R Nusrat, D Elliott, KC Santosh | | 2020 |
Charles Andersonprofessor of computer science, Colorado State University. Founder Pattern Exploration, LLC.Verified email at colostate.edu
