E-LIB Suche - Ergebnisse für: Lore, Kin Gwn

1

Machine Learning Aided Low-Order Predictions of Fan Stage B..:

Li, Nuo ; Zhang, Yifan ; Winkler, Julian...
AIAA Journal. 62 (2024) 6 - p. 2174-2185 , 2024

Link: https://doi.org/10.2514/..

2

Root-cause analysis for time-series anomalies via spatiotem..:

Liu, Chao ; Lore, Kin Gwn ; Jiang, Zhanhong.
Knowledge-Based Systems. 211 (2021) - p. 106527 , 2021

Link: https://doi.org/10.1016/..

3

Generative Adversarial Networks for Spectral Super-Resoluti..:

, In: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),

Lore, Kin Gwn ; Reddy, Kishore K. ; Giering, Michael. - p. 926-933 , 2019

Link: https://doi.org/10.1109/..

4

A deep learning framework for causal shape transformation:

Lore, Kin Gwn ; Stoecklein, Daniel ; Davies, Michael..
Neural Networks. 98 (2018) - p. 305-317 , 2018

Link: https://doi.org/10.1016/..

5

Detecting Data Integrity Attacks on Correlated Solar Farms ..:

, In: 2018 IEEE Conference on Communications and Network Security (CNS),

Lore, Kin Gwn ; Shila, Devu Manikantan ; Ren, Lingyu - p. 1-9 , 2018

Link: https://doi.org/10.1109/..

6

Generative Adversarial Networks for Depth Map Estimation fr..:

, In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW),

Lore, Kin Gwn ; Reddy, Kishore ; Giering, Michael. - p. 1258-12588 , 2018

Link: https://doi.org/10.1109/..

7

LLNet: A deep autoencoder approach to natural low-light ima..:

Lore, Kin Gwn ; Akintayo, Adedotun ; Sarkar, Soumik
Pattern Recognition. 61 (2017) - p. 650-662 , 2017

Link: https://doi.org/10.1016/..

8

Deep Learning for Flow Sculpting: Insights into Efficient L..:

Stoecklein, Daniel ; Lore, Kin Gwn ; Davies, Michael..
Scientific Reports. 7 (2017) 1 - p. , 2017

Link: https://doi.org/10.1038/..

9

Deep value of information estimators for collaborative huma..:

, In: Proceedings of the 7th International Conference on Cyber-Physical Systems,

Lore, Kin Gwn ; Sweet, Nicholas ; Kumar, Kundan.. - p. 1-10 , 2016

Link: https://dl.acm.org/doi/1..

10

Implicit Context-aware Learning and Discovery for Streaming..:

Lore, Kin Gwn ; Reddy, Kishore K
http://arxiv.org/abs/1910.08438. , 2019

Link: http://arxiv.org/abs/191..

11

Root-cause Analysis for Time-series Anomalies via Spatiotem..:

Liu, Chao ; Lore, Kin Gwn ; Jiang, Zhanhong.
http://arxiv.org/abs/1805.12296. , 2018

Link: http://arxiv.org/abs/180..

12

Deep Learning for Flow Sculpting: Insights into Efficient L..:

Stoecklein, Daniel ; Lore, Kin Gwn ; Davies, Michael..
https://lib.dr.iastate.edu/me_pubs/209. , 2017

Link: https://lib.dr.iastate.e..

13

Learning Localized Geometric Features Using 3D-CNN: An Appl..:

Balu, Aditya ; Ghadai, Sambit ; Lore, Kin Gwn...
http://arxiv.org/abs/1612.02141. , 2016

Link: http://arxiv.org/abs/161..

14

Data-driven root-cause analysis for distributed system anom..:

Liu, Chao ; Lore, Kin Gwn ; Sarkar, Soumik
http://arxiv.org/abs/1605.06421. , 2016

Link: http://arxiv.org/abs/160..

15

Deep Action Sequence Learning for Causal Shape Transformati..:

Lore, Kin Gwn ; Stoecklein, Daniel ; Davies, Michael..
http://arxiv.org/abs/1605.05368. , 2016

Link: http://arxiv.org/abs/160..