Paper-Conference

Event Extraction for aviation accident reports through attention-based multi-label classification
Event Extraction for aviation accident reports through attention-based multi-label classification
Combining Anatomical Constraints and Deep Learning for 3-D CBCT Dental Image Multi-Label Segmentation
Machine learning research on medical images is becoming popular as advanced imaging technologies and equipment in medicine become more …
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Edge Computing Accelerated Defect Classification Based on Deep Convolutional Neural Network With Application in Rolling Image Inspection
This paper develops a unified framework for training and deploying deep neural networks on the edge computing framework for image …
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Hierarchical Tree-Based Sequential Event Prediction with Application in the Aviation Accident Report
Sequential event prediction is a well-studied area and has been widely used in proactive management, recommender systems and …
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Hierarchical Tree-Based Sequential Event Prediction with Application in the Aviation Accident Report
Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction
Low-rank tensor decomposition and completion have attracted significant interest from academia given the ubiquity of tensor data. …
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Tensor Completion for Weakly-Dependent Data on Graph for Metro Passenger Flow Prediction
Simultaneous material microstructure classification and discovery via hidden Markov modeling of acoustic emission signals
Simultaneous material microstructure classification and discovery via hidden Markov modeling of acoustic emission signals
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Image-Based Process Monitoring via Adversarial Autoencoder with Applications to Rolling Defect Detection
Image-based process monitoring has recently attracted increasing attention due to the advancement of the sensing technologies. However, …
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Physics-Based Deep Spatio-Temporal Metamodeling for Cardiac Electrical Conduction Simulation
Modeling and simulation have been widely used in both cardiac research and clinical study to investigate cardiac disease mechanism and …
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Rapid Detection of Hot-Spot by Tensor Decomposition with Application to Weekly Gonorrhea Data
In many bio-surveillance and healthcare applications, data sources are measured from many spatial locations repeatedly over time, say, …
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Semi-supervised constrained hidden Markov model using multiple sensors for remaining useful life prediction and optimal predictive maintenance— For remaining useful life prediction and optimal predictive maintenance
Semi-supervised constrained hidden Markov model using multiple sensors for remaining useful life prediction and optimal predictive …