Kin Gwn Lore

24 papers C 2Journal 13Unranked 9
YearRankTypeTitle / Venue / Authors
2024 — conf
ReeFRAME: Reeb Graph based Trajectory Analysis Framework to Capture Top-Down and Bottom-Up Patterns of Life.
GeoAnomalies@SIGSPATIAL
Chandrakanth Gudavalli, Bowen Zhang, Connor Levenson, Kin Gwn Lore, B. S. Manjunath
2024 J jnl
ReeFRAME: Reeb Graph based Trajectory Analysis Framework to Capture Top-Down and Bottom-Up Patterns of Life.
CoRR
Chandrakanth Gudavalli, Bowen Zhang, Connor Levenson, Kin Gwn Lore, B. S. Manjunath
2021 J jnl
Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems.
Knowl. Based Syst.
Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
2019 — conf
Generative Adversarial Networks for Spectral Super-Resolution and Bidirectional RGB-To-Multispectral Mapping.
CVPR Workshops
Kin Gwn Lore, Kishore K. Reddy, Michael Giering, Edgar A. Bernal
2019 J jnl
Implicit Context-aware Learning and Discovery for Streaming Data Analytics.
CoRR
Kin Gwn Lore, Kishore K. Reddy
2018 J jnl
A deep learning framework for causal shape transformation.
Neural Networks
Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
2018 — conf
Detecting Data Integrity Attacks on Correlated Solar Farms Using Multi-layer Data Driven Algorithm.
CNS
Kin Gwn Lore, Devu Manikantan Shila, Lingyu Ren
2018 — conf
Generative Adversarial Networks for Depth Map Estimation From RGB Video.
CVPR Workshops
Kin Gwn Lore, Kishore K. Reddy, Michael Giering, Edgar A. Bernal
2018 — conf
Physics-Based Features for Anomaly Detection in Power Grids with Micro-PMUs.
ICC
Mahmoud El Chamie, Kin Gwn Lore, Devu Manikantan Shila, Amit Surana
2018 J jnl
Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems.
CoRR
Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar
2017 J jnl
Catching Anomalous Distributed Photovoltaics: An Edge-based Multi-modal Anomaly Detection.
CoRR
Devu Manikantan Shila, Kin Gwn Lore, Tianshu Wei, Teems Lovetty, Yu Cheng
2017 — conf
Data-driven root-cause analysis for distributed system anomalies.
CDC
Chao Liu, Kin Gwn Lore, Soumik Sarkar
2017 J jnl
LLNet: A deep autoencoder approach to natural low-light image enhancement.
Pattern Recognit.
Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar
2016 J jnl
A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework.
CoRR
Aditya Balu, Kin Gwn Lore, Gavin Young, Adarsh Krishnamurthy, Soumik Sarkar
2016 J jnl
Deep Action Sequence Learning for Causal Shape Transformation.
CoRR
Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
2016 — conf
Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering.
ICCPS
Kin Gwn Lore, Nicholas Sweet, Kundan Kumar, Nisar R. Ahmed, Soumik Sarkar
2016 J jnl
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video.
CoRR
Adedotun Akintayo, Kin Gwn Lore, Soumalya Sarkar, Soumik Sarkar
2016 C conf
Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities.
ACC
Soumalya Sarkar, Devesh K. Jha, Kin Gwn Lore, Soumik Sarkar, Asok Ray
2016 J jnl
Root-cause analysis for time-series anomalies via spatiotemporal causal graphical modeling.
CoRR
Chao Liu, Kin Gwn Lore, Soumik Sarkar
2016 C conf
Topology control in mobile sensor networks using information space feedback.
ACC
Kin Gwn Lore, Soumik Sarkar, Devesh K. Jha
2015 J jnl
Deep Value of Information Estimators for Collaborative Human-Machine Information Gathering.
CoRR
Kin Gwn Lore, Nicholas Sweet, Kundan Kumar, Nisar R. Ahmed, Soumik Sarkar
2015 — conf
Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video.
CoCo@NIPS
Soumalya Sarkar, Kin Gwn Lore, Soumik Sarkar
2015 — conf
Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns.
FE@NIPS
Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
2015 J jnl
LLNet: A Deep Autoencoder Approach to Natural Low-light Image Enhancement.
CoRR
Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar