| LLNet: A deep autoencoder approach to natural low-light image enhancement KG Lore, A Akintayo, S Sarkar Pattern Recognition 61, 650-662, 2017 | 1501 | 2017 |
| Deep learning for flow sculpting: Insights into efficient learning using scientific simulation data D Stoecklein, KG Lore, M Davies, S Sarkar, B Ganapathysubramanian Scientific reports 7 (1), 46368, 2017 | 82 | 2017 |
| Early detection of combustion instability from hi-speed flame images via deep learning and symbolic time series analysis S Sarkar, KG Lore, S Sarkar, V Ramanan, SR Chakravarthy, S Phoha, ... Annual Conference of the PHM Society 7 (1), 2015 | 66 | 2015 |
| Generative adversarial networks for depth map estimation from RGB video KG Lore, K Reddy, M Giering, EA Bernal Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 63 | 2018 |
| Prognostics of combustion instabilities from hi-speed flame video using a deep convolutional selective autoencoder A Akintayo, KG Lore, S Sarkar, S Sarkar International Journal of Prognostics and Health Management 7 (4), 2016 | 50 | 2016 |
| Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video. S Sarkar, KG Lore, S Sarkar CoCo@ NIPS, 2015 | 43 | 2015 |
| Hierarchical feature extraction for efficient design of microfluidic flow patterns KG Lore, D Stoecklein, M Davies, B Ganapathysubramanian, S Sarkar Feature Extraction: Modern Questions and Challenges, 213-225, 2015 | 35 | 2015 |
| A deep learning framework for causal shape transformation KG Lore, D Stoecklein, M Davies, B Ganapathysubramanian, S Sarkar Neural Networks 98, 305-317, 2018 | 29 | 2018 |
| Generative Adversarial Networks for Spectral Super-Resolution and Bidirectional RGB-To-Multispectral Mapping KG Lore, KK Reddy, M Giering, EA Bernal Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 28 | 2019 |
| Detecting data integrity attacks on correlated solar farms using multi-layer data driven algorithm KG Lore, DM Shila, L Ren 2018 IEEE Conference on Communications and Network Security (CNS), 1-9, 2018 | 25 | 2018 |
| Deep value of information estimators for collaborative human-machine information gathering KG Lore, N Sweet, K Kumar, N Ahmed, S Sarkar 2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS …, 2016 | 25 | 2016 |
| A deep 3d convolutional neural network based design for manufacturability framework A Balu, KG Lore, G Young, A Krishnamurthy, S Sarkar arXiv preprint arXiv:1612.02141, 2016 | 23* | 2016 |
| Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems C Liu, KG Lore, Z Jiang, S Sarkar Knowledge-Based Systems 211, 106527, 2021 | 22 | 2021 |
| Physics-based features for anomaly detection in power grids with micro-pmus M El Chamie, KG Lore, DM Shila, A Surana 2018 IEEE International Conference on Communications (ICC), 1-7, 2018 | 19 | 2018 |
| Early detection of combustion instabilities using deep convolutional selective autoencoders on hi-speed flame video A Akintayo, KG Lore, S Sarkar, S Sarkar arXiv preprint arXiv:1603.07839, 2016 | 19 | 2016 |
| Data-driven root-cause analysis for distributed system anomalies C Liu, KG Lore, S Sarkar 2017 IEEE 56th annual conference on decision and control (CDC), 5745-5750, 2017 | 14 | 2017 |
| Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities S Sarkar, DK Jha, KG Lore, S Sarkar, A Ray 2016 American Control Conference (ACC), 4918-4923, 2016 | 7 | 2016 |
| Sensor system for data enhancement EA Bernal, KK Reddy, MJ Giering, RB Noraas, KG Lore US Patent 10,388,005, 2019 | 5 | 2019 |
| Robot learning from human demonstration in virtual reality F Stramandinoli, KG Lore, JR Peters, PC O’Neill, BM Nair, R Varma, ... Proceedings of the 1st International Workshop on Virtual, Augmented, and …, 2018 | 4 | 2018 |
| Deep action sequence learning for causal shape transformation KG Lore, D Stoecklein, M Davies, B Ganapathysubramanian, S Sarkar arXiv preprint arXiv:1605.05368, 2016 | 3 | 2016 |
Soumik SarkarDirector, Translational AI Center, Professor, Iowa State University在 iastate.edu 的电子邮件经过验证
