| Comparison of reinforcement learning algorithms applied to the cart-pole problem S Nagendra, N Podila, R Ugarakhod, K George 2017 international conference on advances in computing, communications and …, 2017 | 60 | 2017 |
| Constructing a large-scale landslide database across heterogeneous environments using task-specific model updates S Nagendra, D Kifer, B Mirus, T Pei, K Lawson, SB Manjunatha, W Li, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 14 | 2022 |
| Learning dynamics from kinematics: Estimating 2d foot pressure maps from video frames C Funk, S Nagendra, J Scott, B Ravichandran, JH Challis, RT Collins, ... European Conference on Computer Vision, 536-554, 2020 | 10* | 2020 |
| A new rainfall-induced deep learning strategy for landslide susceptibility prediction J Liu, C Shen, T Pei, K Lawson, D Kifer, S Nagendra, ... AGU Fall Meeting Abstracts 2021, NH35E-0504, 2021 | 4 | 2021 |
| Utilizing an interactive ai-empowered web portal for landslide labeling for establishing a landslide database in washington state, usa T Pei, S Nagendra, S Banagere Manjunatha, G He, D Kifer, T Qiu, C Shen EGU General Assembly Conference Abstracts, EGU21-13974, 2021 | 4 | 2021 |
| Cloud-based interactive database management suite integrated with deep learning-based annotation tool for landslide mapping T Pei, S Nagendra, SB Manjunatha, G He, T Qiu, D Kifer, C Shen AGU Fall Meeting 2020, 2020 | 4* | 2020 |
| An efficient deep learning mechanism for cross-region generalization of landslide events S Nagendra, S Banagere Manjunatha, C Shen, D Kifer, T Pei AGU Fall Meeting Abstracts 2020, NH030-0010, 2020 | 4 | 2020 |
| PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization S Nagendra, D Kifer 🏆Doctoral Consortium Award🏆Proceedings of the IEEE/CVF Winter Conference on …, 2024 | 3 | 2024 |
| A rapid and realistic 3D stratigraphic model generator conditioned on reference well log data L Zhu, P Tilke, S Nagendra, M Etchebes, M LeFranc Second EAGE Digitalization Conference and Exhibition 2022 (1), 1-5, 2022 | 3 | 2022 |
| Threshnet: Segmentation refinement inspired by region-specific thresholding S Nagendra, C Shen, D Kifer arXiv preprint arXiv:2211.06560 2, 1, 2022 | 3 | 2022 |
| Estimating uncertainty in landslide segmentation models S Nagendra, C Shen, D Kifer arXiv preprint arXiv:2311.11138, 2023 | 2 | 2023 |
| Emotion Recognition from the perspective of Activity Recognition S Nagendra, P Panigrahi arXiv preprint arXiv:2403.16263, 2024 | | 2024 |
| Thermal Analysis for NVIDIA GTX480 Fermi GPU Architecture S Nagendra arXiv preprint arXiv:2403.16239, 2024 | | 2024 |
| Supplementary Material-PatchRefineNet: Improving Binary Segmentation by Incorporating Signals from Optimal Patch-wise Binarization SND Kifer | | |
| ICACCI-02 (A): Artificial Intelligence and Machine Learning/Data Engineering/Biocomputing (Regular Papers) P Cp, S Narayanan, VS Kommuri, S Subramanian, K Bijlani, S Nagendra, ... | | |
Daniel KiferPenn State University在 cse.psu.edu 的电子邮件经过验证
