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06/06/2023
Reconstructing human activities via coupling mobile phone data with location-based social networks
In the era of big data, the ubiquity of location-aware portable devices ...
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06/12/2022
Human Mobility Prediction with Causal and Spatial-constrained Multi-task Network
Modeling human mobility helps to understand how people are accessing res...
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12/15/2021
SanMove: Next Location Recommendation via Self-Attention Network
Currently, next location recommendation plays a vital role in location-b...
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10/15/2021
PG^2Net: Personalized and Group Preferences Guided Network for Next Place Prediction
Predicting the next place to visit is a key in human mobility behavior m...
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10/08/2021
Explaining the Attention Mechanism of End-to-End Speech Recognition Using Decision Trees
The attention mechanism has largely improved the performance of end-to-e...
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09/10/2021
Enhancing Unsupervised Anomaly Detection with Score-Guided Network
Anomaly detection plays a crucial role in various real-world application...
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08/06/2021
An Empirical Study on End-to-End Singing Voice Synthesis with Encoder-Decoder Architectures
With the rapid development of neural network architectures and speech pr...
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05/06/2021
Speech Enhancement using Separable Polling Attention and Global Layer Normalization followed with PReLU
Single channel speech enhancement is a challenging task in speech commun...
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06/25/2020
Dynamically Mitigating Data Discrepancy with Balanced Focal Loss for Replay Attack Detection
It becomes urgent to design effective anti-spoofing algorithms for vulne...
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04/13/2020
Socio-economic, built environment, and mobility conditions associated with crime: A study of multiple cities
Nowadays, 23 metropolises, criminal activity is much higher and violent ...
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07/08/2019
Travel Time Estimation without Road Networks: An Urban Morphological Layout Representation Approach
Travel time estimation is a crucial task for not only personal travel sc...
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10/28/2017
Trainable back-propagated functional transfer matrices
Connections between nodes of fully connected neural networks are usually...
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04/25/2017