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Home-based brain-computer interface attention training program for attention deficit hyperactivity disorder: a feasibility trial

Child and adolescent psychiatry and mental health, 2023-01, Vol.17 (1), p.15-15, Article 15

2023

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Exogenous (automatic) attention to emotional stimuli: a review

Cognitive, affective, & behavioral neuroscience, 2014-12, Vol.14 (4), p.1228-1258

CARRETIE, Luis

2014

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Paying attention to attention: a program evaluation of faculty-delivered mindfulness-based attention training to optimize wellness and professionalism in medical students

BMC medical education, 2024-02, Vol.24 (1), p.182-182, Article 182

2024

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A prefix and attention map discrimination fusion guided attention for biomedical named entity recognition

BMC bioinformatics, 2023-02, Vol.24 (1), p.42-42, Article 42

2023

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Attention-based recurrent neural network for influenza epidemic prediction

BMC bioinformatics, 2019-11, Vol.20 (Suppl 18), p.575-575, Article 575

2019

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Gaze-based attention refocusing training in virtual reality for adult attention-deficit/hyperactivity disorder

BMC psychiatry, 2023-01, Vol.23 (1), p.74-74, Article 74

2023

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AttentionDDI: Siamese attention-based deep learning method for drug-drug interaction predictions

BMC bioinformatics, 2021-08, Vol.22 (1), p.412-19, Article 412

2021

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Managing attention: more mindful team decision-making

European journal of information systems, 2024-03, Vol.ahead-of-print (ahead-of-print), p.1-20

2024

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Risk factors of suicidal spectrum behaviors in adults and adolescents with attention-deficit / hyperactivity disorder – a systematic review

BMC psychiatry, 2023-08, Vol.23 (1), p.1-612, Article 612

2023

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Predicting circRNA-drug sensitivity associations via graph attention auto-encoder

BMC bioinformatics, 2022-05, Vol.23 (1), p.160-160, Article 160

2022

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Interpretable clinical prediction via attention-based neural network

BMC medical informatics and decision making, 2020-07, Vol.20 (Suppl 3), p.131-131, Article 131

2020

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DGDTA: dynamic graph attention network for predicting drug–target binding affinity

BMC bioinformatics, 2023-09, Vol.24 (1), p.1-367, Article 367

2023

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Alcohol consumers' attention to warning labels and brand information on alcohol packaging: Findings from cross-sectional and experimental studies

BMC public health, 2017-01, Vol.17 (1), p.123-11, Article 123

2017

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Tradução e adaptação do Pay Attention - um programa de treinamento dos processos da atenção para crianças

Psicologia, reflexão e crítica, 2014-12, Vol.27 (4), p.775-783

2014

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GSAMDA: a computational model for predicting potential microbe-drug associations based on graph attention network and sparse autoencoder

BMC bioinformatics, 2022-11, Vol.23 (1), p.492-18, Article 492

2022

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Attention to Inpatients’ Religious and Spiritual Concerns: Predictors and Association with Patient Satisfaction

Journal of general internal medicine : JGIM, 2011-11, Vol.26 (11), p.1265-1271

2011

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(C)overt attention and visual speller design in an ERP-based brain-computer interface

Behavioral and brain functions, 2010-05, Vol.6 (1), p.28-28

2010

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DeepGRN: prediction of transcription factor binding site across cell-types using attention-based deep neural networks

BMC bioinformatics, 2021-02, Vol.22 (1), p.38-38, Article 38

2021

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A self-attention based message passing neural network for predicting molecular lipophilicity and aqueous solubility

Journal of cheminformatics, 2020-02, Vol.12 (1), p.15-15, Article 15

2020

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FCN-Attention: A deep learning UWB NLOS/LOS classification algorithm using fully convolution neural network with self-attention mechanism

Geo-spatial information science, 2024-07, Vol.ahead-of-print (ahead-of-print), p.1-20

2024

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Allergic diseases in children with attention deficit hyperactivity disorder: a systematic review and meta-analysis

BMC psychiatry, 2017-03, Vol.17 (1), p.120-120, Article 120

2017

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MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model

BMC bioinformatics, 2022-05, Vol.23 (1), p.189-22, Article 189

2022

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scCompressSA: dual-channel self-attention based deep autoencoder model for single-cell clustering by compressing gene-gene interactions

BMC genomics, 2024-04, Vol.25 (1), p.423-423, Article 423

2024

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Biomedical event extraction based on GRU integrating attention mechanism

BMC bioinformatics, 2018-08, Vol.19 (Suppl 9), p.285-285, Article 285

2018

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Effects and clinical feasibility of a behavioral treatment for sleep problems in adult attention deficit hyperactivity disorder (ADHD): a pragmatic within-group pilot evaluation

BMC psychiatry, 2019-07, Vol.19 (1), p.226-226, Article 226

2019

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Home-based brain-computer interface attention training program for attention deficit hyperactivity disorder: a feasibility trial

Exogenous (automatic) attention to emotional stimuli: a review

Paying attention to attention: a program evaluation of faculty-delivered mindfulness-based attention training to optimize wellness and professionalism in medical students

A prefix and attention map discrimination fusion guided attention for biomedical named entity recognition

Attention-based recurrent neural network for influenza epidemic prediction

Gaze-based attention refocusing training in virtual reality for adult attention-deficit/hyperactivity disorder

AttentionDDI: Siamese attention-based deep learning method for drug-drug interaction predictions

Managing attention: more mindful team decision-making

Risk factors of suicidal spectrum behaviors in adults and adolescents with attention-deficit / hyperactivity disorder – a systematic review

Predicting circRNA-drug sensitivity associations via graph attention auto-encoder

Interpretable clinical prediction via attention-based neural network

DGDTA: dynamic graph attention network for predicting drug–target binding affinity

Alcohol consumers' attention to warning labels and brand information on alcohol packaging: Findings from cross-sectional and experimental studies

Tradução e adaptação do Pay Attention - um programa de treinamento dos processos da atenção para crianças

GSAMDA: a computational model for predicting potential microbe-drug associations based on graph attention network and sparse autoencoder

Attention to Inpatients’ Religious and Spiritual Concerns: Predictors and Association with Patient Satisfaction

(C)overt attention and visual speller design in an ERP-based brain-computer interface

DeepGRN: prediction of transcription factor binding site across cell-types using attention-based deep neural networks

A self-attention based message passing neural network for predicting molecular lipophilicity and aqueous solubility

FCN-Attention: A deep learning UWB NLOS/LOS classification algorithm using fully convolution neural network with self-attention mechanism

Allergic diseases in children with attention deficit hyperactivity disorder: a systematic review and meta-analysis

MAGCNSE: predicting lncRNA-disease associations using multi-view attention graph convolutional network and stacking ensemble model

scCompressSA: dual-channel self-attention based deep autoencoder model for single-cell clustering by compressing gene-gene interactions

Biomedical event extraction based on GRU integrating attention mechanism

Effects and clinical feasibility of a behavioral treatment for sleep problems in adult attention deficit hyperactivity disorder (ADHD): a pragmatic within-group pilot evaluation

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