Results 41 to 50 of about 1,057,004 (267)

Self-attentive Model for Headline Generation [PDF]

open access: yes, 2019
Headline generation is a special type of text summarization task. While the amount of available training data for this task is almost unlimited, it still remains challenging, as learning to generate headlines for news articles implies that the model has strong reasoning about natural language.
Daniil Gavrilov   +2 more
openaire   +2 more sources

AN IMPROVED GRU BASED ON RECURRENT ATTENTION UNIT AND SELF- ATTENTION TECHNIQUE FOR TEXT SENTIMENT ANALYSIS [PDF]

open access: yesICTACT Journal on Soft Computing
In 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
doaj   +1 more source

Spatial self-attention network with self-attention distillation for fine-grained image recognition

open access: yesJournal 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
openaire   +1 more source

Character-Level Translation with Self-attention [PDF]

open access: yesProceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
ACL ...
Gao, Yingqiang   +3 more
openaire   +4 more sources

Crowd counting using a self‐attention multi‐scale cascaded network

open access: yesIET 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
doaj   +1 more source

Rational Use of Herbal Products in Pediatric Patients Treated With Anticancer Drugs in the European Union

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot   +6 more
wiley   +1 more source

The Role of “Adult‐Onset” Cancer Predisposition Genes in Pediatric Cancer: A Comprehensive Review

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Current literature estimates that 10% of pediatric cancers are caused by pathogenic or likely pathogenic (P/LP) germline variants in cancer predisposition genes (CPGs). Variants in CPGs thought to increase cancer risk exclusively during adulthood are referred to as “adult‐onset” CPGs (aoCPGs).
Maria Rozo   +5 more
wiley   +1 more source

Health Literacy, Self‐Efficacy and Knowledge of Sickle Cell Disease Among Caregivers

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Sickle cell disease (SCD) is a hereditary blood disorder in which abnormal haemoglobin leads to severe anaemia, painful crises and organ failure. Caregivers’ health literacy (HL) – their ability to assess, understand and apply information, and interact with healthcare professionals – is crucial for managing children with SCD, yet ...
Melanie Bruinooge   +6 more
wiley   +1 more source

Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte   +5 more
wiley   +1 more source

Heart Sound Classification Using Bi⁃LSTM and Self⁃attention Mechanism

open access: yesShuju Caiji Yu Chuli
Heart sound auscultation is an effective diagnostic method for early screening of heart disease. In order to improve the performance of abnormal heart sound detection, this paper proposes a heart sound classification algorithm based on bi-directional ...
LU Guanming   +6 more
doaj   +1 more source

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