Software

Event Extraction for aviation accident reports through attention-based multi-label classification
Event Extraction for aviation accident reports through attention-based multi-label classification
Individualized passenger travel pattern multi-clustering based on graph regularized tensor latent Dirichlet allocation
Tensor latent Dirichlet allocation with graph regularization for passenger travel patterns.
Multi-task learning with latent variation decomposition for multivariate responses in a manufacturing network
Multi-task learning with latent variation decomposition for multivariate responses in a manufacturing network
Profile decomposition based hybrid transfer learning for cold-start data anomaly detection
Profile decomposition based hybrid transfer learning for cold-start data anomaly detection
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Rapid detection of hot-spots via tensor decomposition with applications to crime rate data
Rapid detection of hot-spots via tensor decomposition with applications to crime rate data
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Artificial Intelligence for the Computer-Aided Detection of Periapical Lesions in Cone-Beam Computed Tomographic Images
Introduction The aim of this study was to use a Deep Learning (DL) algorithm for the automated segmentation of cone-beam computed …
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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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Adaptive Change Point Monitoring for High-Dimensional Data
In this paper, we propose a class of monitoring statistics for a mean shift in a sequence of high-dimensional observations. Inspired by …
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Data-driven trajectory prediction with weather uncertainties: A Bayesian deep learning approach
Trajectory prediction is an essential component of the next generation national air transportation system. Reliable trajectory …
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Deep Multistage Multi-Task Learning for Quality Prediction and Diagnostics of Multistage Manufacturing Systems
In multistage manufacturing systems, modeling multiple quality indices based on the process sensing variables is important. However, …
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Deep Multistage Multi-Task Learning for Quality Prediction and Diagnostics of Multistage Manufacturing Systems