Results 41 to 50 of about 1,111,935 (267)
AN IMPROVED GRU BASED ON RECURRENT ATTENTION UNIT AND SELF- ATTENTION TECHNIQUE FOR TEXT SENTIMENT ANALYSIS [PDF]
ICTACT Journal on Soft ComputingIn text sentiment analysis, a crucial challenge is that conventional word vectors fail to capture lexical ambiguity. The Gated Recurrent Unit (GRU), an advanced variant of RNN, is extensively utilized in natural language processing tasks such as ...
Dhurgham Ali Mohammed, Kalyani A. Patel
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Frontiers in Genetics, 2023 Integrating multi-omics data for cancer subtype recognition is an important task in bioinformatics. Recently, deep learning has been applied to recognize the subtype of cancers.
Qiuwen Sun +6 more
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Spatial self-attention network with self-attention distillation for fine-grained image recognition
Journal of Visual Communication and Image Representation, 2021 Abstract The underlining task for fine-grained image recognition captures both the inter-class and intra-class discriminate features. Existing methods generally use auxiliary data to guide the network or a complex network comprising multiple sub-networks.
Adu Asare Baffour +4 more
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Self-Attentive Hawkes Processes
CoRR, 2019 Asynchronous events on the continuous time domain, e.g., social media actions and stock transactions, occur frequently in the world. The ability to recognize occurrence patterns of event sequences is crucial to predict which typeof events will happen next and when. A de facto standard mathematical framework to do this is the Hawkes process. In order to
Qiang Zhang 0026 +3 more
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Crowd counting using a self‐attention multi‐scale cascaded network
IET Computer Vision, 2019 Recent developments of crowd analysis and behaviour prediction have attracted much attention. Crowd counting, as the essential and challenging task in crowd analysis, is riddled with many issues, such as large scale variations, serious occlusion, and so ...
He Li, Shihui Zhang, Weihang Kong
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Rates of cancer among adolescents and young adults (AYA), age 15–39 years, are increasing. Consequently, radiation oncologists are treating more AYAs who have diagnoses spanning both pediatric and adult practices. Compared to pediatric and older adult patients, AYAs face a unique set of challenges.
Hesham Elhalawani +7 more
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PIIE-DSA-Net for 3D Semantic Segmentation of Urban Indoor and Outdoor Datasets
Remote Sensing, 2022 In this paper, a 3D semantic segmentation method is proposed, in which a novel feature extraction framework is introduced assembling point initial information embedding (PIIE) and dynamic self-attention (DSA)—named PIIE-DSA-net.
Fengjiao Gao +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Survivors of pediatric brain tumors (PBTs) can experience long‐term social difficulties, impacting quality of life. Beyond medical and environmental factors, family psychosocial risk may play a role in social outcomes by shaping the caregiving environment and may provide intervention options.
Renske H. Houben +4 more
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Self-Attention for Audio Super-Resolution [PDF]
2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021 MLSP ...
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A Neural N-Gram-Based Classifier for Chinese Clinical Named Entity Recognition
Applied Sciences, 2021 Clinical Named Entity Recognition (CNER) focuses on locating named entities in electronic medical records (EMRs) and the obtained results play an important role in the development of intelligent biomedical systems.
Ching-Sheng Lin +2 more
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