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02/08/2023
DeepVATS: Deep Visual Analytics for Time Series
The field of Deep Visual Analytics (DVA) has recently arisen from the id...
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04/09/2022
A Deep Learning Approach for Predicting Two-dimensional Soil Consolidation Using Physics-Informed Neural Networks (PINN)
Soil consolidation is closely related to seepage, stability, and settlem...
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01/14/2022
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next
Physics-Informed Neural Networks (PINN) are neural networks (NNs) that e...
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09/01/2021
An Efficient Deep Learning Approach Using Improved Generative Adversarial Networks for Incomplete Information Completion of Self-driving
Autonomous driving is the key technology of intelligent logistics in Ind...
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05/24/2021
Heterogeneous Data Fusion Considering Spatial Correlations using Graph Convolutional Networks and its Application in Air Quality Prediction
Heterogeneous data are commonly adopted as the inputs for some models th...
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08/21/2020
KCoreMotif: An Efficient Graph Clustering Algorithm for Large Networks by Exploiting k-core Decomposition and Motifs
Clustering analysis has been widely used in trust evaluation on various ...
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03/23/2020
Julia Language in Machine Learning: Algorithms, Applications, and Open Issues
Machine learning is driving development across many fields in science an...
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08/10/2019
