Use of Artificial Intelligence to Detect Cardiac Rhythm Disturbances in Athletes: A Scoping Review. [PDF]
J Vet Intern MedKapusniak A +5 more
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A Motion Intention Recognition Method for Lower-Limb Exoskeleton Assistance in Ultra-High-Voltage Transmission Tower Climbing. [PDF]
Sensors (Basel)Chen H +8 more
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Comment toxicity detection via a multichannel convolutional bidirectional gated recurrent unit
Neurocomputing, 2021Abstract Recently, toxicity identification has become the most serious problem in online communities and social networking sites. Therefore, an automatic toxic identification system needs to be developed for preventing and limiting users from these online environments.
Ashok Kumar J +3 more
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Hyperspectral Image Classification Based on Bidirectional Gated Recurrent Units
2020The hyperspectral image classification method based on recurrent neural network (RNN) regards the spectral values of all bands of each pixel as spectral sequences. But a one-way RNN can only focus on current input and past memory states, not future memories. And RNN itself has the problem of severe gradient vanish.
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Detecting Toxicity with Bidirectional Gated Recurrent Unit Networks
2020As large amounts of data keep being generated by users on social media platforms, some of the information can be considered as harmful. These kinds of textual information can be generated in forums, online discussions or any other communication exchange in an online medium.
Vinayak Kumar, B. K. Tripathy
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Multimodal Object Classification Using Bidirectional Gated Recurrent Unit Networks
2018 IEEE Third International Conference on Data Science in Cyberspace (DSC), 2018In the field of artificial intelligence, we have observed a strong trend towards introducing external resources to aid pattern recognition tasks. In this work, we utilize external meta-data in the form of web text, i.e. natural language, to aid image classification.
Dongzhe Wang, Kezhi Mao
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Hate Speech Detection in Indonesian Twitter Texts using Bidirectional Gated Recurrent Unit
2021 13th International Conference on Knowledge and Smart Technology (KST), 2021As the number of social media users rises, the probability of hate speech spread in social media also rises indirectly. Hate speech has become one of most common cases found on social media. The spread of hate speech can lead to a riot that might cause conflict, group extermination, and even human casualties.
Angela Marpaung +2 more
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Labanotation Generation Based on Bidirectional Gated Recurrent Units with Joint and Line Features
2019 IEEE International Conference on Image Processing (ICIP), 2019Labanotation is an effective carrier for recording and displaying three-dimensional human movements. In the existing methods of Labanotation generation, the spatial characteristics are not fully considered. In addition, Long-term correlation of time series is not reflected. In this paper, we propose a novel method based on Bidirectional Gated Recurrent
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Attention-based bidirectional gated recurrent unit neural networks for sentiment analysis
Proceedings of the 2nd International Conference on Artificial Intelligence and Pattern Recognition, 2019Sentiment analysis is an important research direction of natural language processing. In-depth exploration of online textual emotional information has great social significance social and commercial value for market research, online public opinion discovery and early warning.
Qing Yu, Hui Zhao, Zuohua Wang
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