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02/28/2023
Your time series is worth a binary image: machine vision assisted deep framework for time series forecasting
Time series forecasting (TSF) has been a challenging research area, and ...
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01/20/2023
Explainable Multilayer Graph Neural Network for Cancer Gene Prediction
The identification of cancer genes is a critical, yet challenging proble...
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03/24/2022
Rubik's Cube Operator: A Plug And Play Permutation Module for Better Arranging High Dimensional Industrial Data in Deep Convolutional Processes
The convolutional neural network (CNN) has been widely applied to proces...
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08/05/2021
PSTN: Periodic Spatial-temporal Deep Neural Network for Traffic Condition Prediction
Accurate forecasting of traffic conditions is critical for improving saf...
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08/05/2021
Automatic Detection of Rail Components via A Deep Convolutional Transformer Network
Automatic detection of rail track and its fasteners via using continuous...
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08/05/2021
Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method
Automated inspection and detection of foreign objects on railways is imp...
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09/01/2019
Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge
We report a neural architecture search framework, BioNAS, that is tailor...
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06/25/2019
Perceptual Generative Autoencoders
Modern generative models are usually designed to match target distributi...
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09/19/2018
Removing the Feature Correlation Effect of Multiplicative Noise
Multiplicative noise, including dropout, is widely used to regularize de...
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09/13/2017
