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05/15/2023
DarkBERT: A Language Model for the Dark Side of the Internet
Recent research has suggested that there are clear differences in the la...
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04/19/2023
Adaptive beamforming for optical wireless communication via fiber modal control
High-speed optical wireless communication can address the exponential gr...
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04/04/2023
OpenContrails: Benchmarking Contrail Detection on GOES-16 ABI
Contrails (condensation trails) are line-shaped ice clouds caused by air...
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01/31/2023
DRAINCLoG: Detecting Rogue Accounts with Illegally-obtained NFTs using Classifiers Learned on Graphs
As Non-Fungible Tokens (NFTs) continue to grow in popularity, NFT users ...
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02/12/2022
Towards Best Practice of Interpreting Deep Learning Models for EEG-based Brain Computer Interfaces
Understanding deep learning models is important for EEG-based brain-comp...
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11/21/2021
Subject-Independent Drowsiness Recognition from Single-Channel EEG with an Interpretable CNN-LSTM model
For EEG-based drowsiness recognition, it is desirable to use subject-ind...
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09/13/2021
Hetero-SCAN: Towards Social Context Aware Fake News Detection via Heterogeneous Graph Neural Network
Fake news, false or misleading information presented as news, has a grea...
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05/30/2021
EEG-based Cross-Subject Driver Drowsiness Recognition with Interpretable CNN
In the context of electroencephalogram (EEG)-based driver drowsiness rec...
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05/30/2021
A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG
Driver drowsiness is one of main factors leading to road fatalities and ...
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07/07/2020
