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2020 – today
- 2021
[j3]Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
:
Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems. Knowl. Based Syst. 211: 106527 (2021)
2010 – 2019
- 2019
- [c10]Kin Gwn Lore, Kishore K. Reddy, Michael Giering, Edgar A. Bernal:
Generative Adversarial Networks for Spectral Super-Resolution and Bidirectional RGB-To-Multispectral Mapping. CVPR Workshops 2019: 926-933 - [i9]Kin Gwn Lore, Kishore K. Reddy:
Implicit Context-aware Learning and Discovery for Streaming Data Analytics. CoRR abs/1910.08438 (2019) - 2018
- [j2]Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar:
A deep learning framework for causal shape transformation. Neural Networks 98: 305-317 (2018) - [c9]Kin Gwn Lore, Devu Manikantan Shila, Lingyu Ren:
Detecting Data Integrity Attacks on Correlated Solar Farms Using Multi-layer Data Driven Algorithm. CNS 2018: 1-9 - [c8]Kin Gwn Lore, Kishore K. Reddy, Michael Giering, Edgar A. Bernal:
Generative Adversarial Networks for Depth Map Estimation From RGB Video. CVPR Workshops 2018: 1177-1185 - [c7]Mahmoud El Chamie, Kin Gwn Lore, Devu Manikantan Shila, Amit Surana:
Physics-Based Features for Anomaly Detection in Power Grids with Micro-PMUs. ICC 2018: 1-7 - [i8]Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar:
Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems. CoRR abs/1805.12296 (2018) - 2017
- [j1]Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar:
LLNet: A deep autoencoder approach to natural low-light image enhancement. Pattern Recognit. 61: 650-662 (2017) - [c6]Chao Liu, Kin Gwn Lore, Soumik Sarkar:
Data-driven root-cause analysis for distributed system anomalies. CDC 2017: 5745-5750 - [i7]Devu Manikantan Shila, Kin Gwn Lore, Tianshu Wei, Teems Lovetty, Yu Cheng:
Catching Anomalous Distributed Photovoltaics: An Edge-based Multi-modal Anomaly Detection. CoRR abs/1709.08830 (2017) - 2016
- [c5]Soumalya Sarkar, Devesh K. Jha, Kin Gwn Lore, Soumik Sarkar, Asok Ray:
Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities. ACC 2016: 4918-4923 - [c4]Kin Gwn Lore, Soumik Sarkar, Devesh K. Jha:
Topology control in mobile sensor networks using information space feedback. ACC 2016: 6405-6410 - [c3]Kin Gwn Lore, Nicholas Sweet, Kundan Kumar, Nisar R. Ahmed, Soumik Sarkar:
Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering. ICCPS 2016: 3:1-3:10 - [i6]Adedotun Akintayo, Kin Gwn Lore, Soumalya Sarkar, Soumik Sarkar:
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video. CoRR abs/1603.07839 (2016) - [i5]Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar:
Deep Action Sequence Learning for Causal Shape Transformation. CoRR abs/1605.05368 (2016) - [i4]Chao Liu, Kin Gwn Lore, Soumik Sarkar:
Root-cause analysis for time-series anomalies via spatiotemporal causal graphical modeling. CoRR abs/1605.06421 (2016) - [i3]Aditya Balu, Kin Gwn Lore, Gavin Young, Adarsh Krishnamurthy, Soumik Sarkar:
A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework. CoRR abs/1612.02141 (2016) - 2015
- [c2]Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar:
Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns. FE@NIPS 2015: 213-225 - [c1]Soumalya Sarkar, Kin Gwn Lore, Soumik Sarkar:
Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video. CoCo@NIPS 2015 - [i2]Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar:
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement. CoRR abs/1511.03995 (2015) - [i1]Kin Gwn Lore, Nicholas Sweet, Kundan Kumar, Nisar R. Ahmed, Soumik Sarkar:
Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering. CoRR abs/1512.07592 (2015)
Coauthor Index
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