3D convolution network and Siamese-attention mechanism for expression recognition
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-07860-2
Abstract: Researches on Expression recognition focus on common subject-independent task, while cross-database evaluation is rare and lack of universal protocol. The key challenge for both tasks is to extract features that effectively describe the pattern of… read more here.
Keywords: convolution network; expression recognition; network; attention mechanism ... See more keywords
A deep learning method based on an attention mechanism for wireless network traffic prediction
Sign Up to like & getrecommendations! Published in 2020 at "Ad Hoc Networks"
DOI: 10.1016/j.adhoc.2020.102258
Abstract: Abstract With the rapid development of wireless networks, the self-management and active adjustment capabilities of base stations have become crucial. The accurate prediction of wireless network traffic is an important prerequisite for intelligent base stations.… read more here.
Keywords: traffic; network; attention mechanism; wireless network ... See more keywords
Drug-Drug interaction extraction using a position and similarity fusion-based attention mechanism
Sign Up to like & getrecommendations! Published in 2021 at "Journal of biomedical informatics"
DOI: 10.1016/j.jbi.2021.103707
Abstract: Taking multiple drugs at the same time can increase or decrease each drug's effectiveness or cause side effects. These drug-drug interactions (DDIs) may lead to an increase in the cost of medical care or even… read more here.
Keywords: drug; extraction; drug drug; attention mechanism ... See more keywords
A fault diagnosis method based on attention mechanism with application in Qianlong-2 autonomous underwater vehicle
Sign Up to like & getrecommendations! Published in 2021 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2021.109049
Abstract: Abstract This study proposed a fault diagnosis method based on deep learning and attention mechanism for autonomous underwater vehicle (AUV). Firstly, a data attention mechanism is proposed to introduce dynamic weighting coefficients of monitoring variables… read more here.
Keywords: attention mechanism; fault diagnosis; method; fault ... See more keywords
Multisource Attention-Mechanism-Based Encoder-Decoder Model for Predicting Drug-Drug Interaction Events
Sign Up to like & getrecommendations! Published in 2022 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.2c01112
Abstract: Many computational methods have been proposed to predict drug-drug interactions (DDIs), which can occur when combining drugs to treat various diseases, but most mainly utilize single-source features of drugs, which is inadequate for drug representation.… read more here.
Keywords: attention mechanism; mechanism based; drug drug; attention ... See more keywords
Transformer with sparse selfâattention mechanism for image captioning
Sign Up to like & getrecommendations! Published in 2020 at "Electronics Letters"
DOI: 10.1049/el.2020.0635
Abstract: Recently, transformer has been applied to the image caption model, in which the convolutional neural network and the transformer encoder act as the image encoder of the model, and the transformer decoder acts as the… read more here.
Keywords: image; attention mechanism; transformer; self attention ... See more keywords
Neural network pruning based on channel attention mechanism
Sign Up to like & getrecommendations! Published in 2022 at "Connection Science"
DOI: 10.1080/09540091.2022.2111405
Abstract: Network pruning facilitates the deployment of convolutional neural networks in resource-limited environments by reducing redundant parameters. However, most of the existing methods ignore the differences in the contributions of the output feature maps. In response… read more here.
Keywords: network pruning; attention mechanism; channel attention;
Classification of ECG using ensemble of residual CNNs with or without attention mechanism
Sign Up to like & getrecommendations! Published in 2022 at "Physiological Measurement"
DOI: 10.1088/1361-6579/ac647c
Abstract: Objective. This paper introduces a winning solution (team ISIBrno-AIMT) to the official round of PhysioNet Challenge 2021. The main goal of the challenge was a classification of ECG recordings into 26 multi-label pathological classes with… read more here.
Keywords: attention mechanism; classification; multi head; head attention ... See more keywords
DeepGpgs: a novel deep learning framework for predicting arginine methylation sites combined with Gaussian prior and gated self-attention mechanism
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad018
Abstract: Protein arginine methylation is an important posttranslational modification (PTM) associated with protein functional diversity and pathological conditions including cancer. Identification of methylation binding sites facilitates a better understanding of the molecular function of proteins. Recent… read more here.
Keywords: attention mechanism; methylation; gaussian prior; deep learning ... See more keywords
DeepFormer: a hybrid network based on convolutional neural network and flow-attention mechanism for identifying the function of DNA sequences
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbad095
Abstract: Identifying the function of DNA sequences accurately is an essential and challenging task in the genomic field. Until now, deep learning has been widely used in the functional analysis of DNA sequences, including DeepSEA, DanQ,… read more here.
Keywords: attention mechanism; neural network; network; dna ... See more keywords
Integrating an Attention Mechanism and Convolution Collaborative Filtering for Document Context-Aware Rating Prediction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2018.2887100
Abstract: Deep learning has become a recent, modern technique for big data processing, with promising results and large potential. For recommender systems, user and item information can be used as input vectors to perform prediction tasks.… read more here.
Keywords: attention mechanism; attention; convolution collaborative; prediction ... See more keywords