DeepText2GO: Improving large-scale protein function prediction with deep semantic text representation.
Sign Up to like & getrecommendations! Published in 2018 at "Methods"
DOI: 10.1016/j.ymeth.2018.05.026
Abstract: As of April 2018, UniProtKB has collected more than 115 million protein sequences. Less than 0.15% of these proteins, however, have been associated with experimental GO annotations. As such, the use of automatic protein function… read more here.
Keywords: protein; deep semantic; protein function; function prediction ... See more keywords
Crop classification for UAV visible imagery using deep semantic segmentation methods
Sign Up to like & getrecommendations! Published in 2022 at "Geocarto International"
DOI: 10.1080/10106049.2022.2032387
Abstract: Abstract Unmanned aerial vehicle (UAV) has become a mainstream data collection platform in precision agriculture. For more accessible UAV–visible imagery, the high spatial resolution brings the rich geometric texture features triggered large differences in same… read more here.
Keywords: crop; uav visible; crop classification; visible imagery ... See more keywords
Attenuation of deep semantic processing during mind wandering: an event-related potential study
Sign Up to like & getrecommendations! Published in 2018 at "NeuroReport"
DOI: 10.1097/wnr.0000000000000978
Abstract: Although much research shows that early sensory and attentional processing is affected by mind wandering, the effect of mind wandering on deep (i.e. semantic) processing is relatively unexplored. To investigate this relation, we recorded event-related… read more here.
Keywords: deep semantic; processing; mind wandering; event related ... See more keywords
RSImageNet: A Universal Deep Semantic Segmentation Lifecycle for Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2986514
Abstract: In real applications, there is a lack of labeled data to train a proper deep neural network (DNN) model for map generation of remote sensing images. The aim of newly acquired data in spaceborne or… read more here.
Keywords: remote sensing; universal deep; semantic segmentation; deep semantic ... See more keywords
Deep2s: Improving Aspect Extraction in Opinion Mining With Deep Semantic Representation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2999673
Abstract: Syntactical rule based approaches for aspect extraction, which are free from expensive manual annotation, are promising in practice. These approaches extract aspects mainly through the dependency relations in the surface sentence structures. However, deep and… read more here.
Keywords: aspect extraction; semantic representation; extraction opinion; deep semantic ... See more keywords
Aerial Fluvial Image Dataset for Deep Semantic Segmentation Neural Networks and Its Benchmarks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3275068
Abstract: Classification of aerial imagery is essential for water channel surveillance and waterfront land cover characterization. It is also beneficial to long-duration collaborative autonomous navigation of both unmanned aerial vehicles (UAVs) and autonomous surface vehicles (ASVs)… read more here.
Keywords: aerial fluvial; water; segmentation; deep semantic ... See more keywords
DeepSIM: Deep Semantic Information-Based Automatic Mandelbug Classification
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Reliability"
DOI: 10.1109/tr.2021.3110096
Abstract: Understanding and predicting types of bugs are of practical importance for developers to improve the testing efficiency and take appropriate steps to address bugs in software releases. However, due to the complex conditions under which… read more here.
Keywords: classification; deep semantic; semantic information; mandelbug classification ... See more keywords
DeepWSC: Clustering Web Services via Integrating Service Composability into Deep Semantic Features
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Services Computing"
DOI: 10.1109/tsc.2020.3026188
Abstract: With an growing number of web services available on the Internet, an increasing burden is imposed on the use and management of service repository. Service clustering has been employed to facilitate a wide range of… read more here.
Keywords: deep semantic; web services; semantic features; service clustering ... See more keywords
Identification of Transportation Barriers in Patient Portal Messages via Deep Semantic Embeddings and Clustering
Sign Up to like & getrecommendations! Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220188
Abstract: Patient portals have been widely used by patients to enable timely communications with their providers via secure messaging for various issues including transportation barriers. The large volume of portal messages offers an invaluable opportunity for… read more here.
Keywords: deep semantic; patient portal; transportation issues; portal messages ... See more keywords
A Reparametrized CNN Model to Distinguish Alzheimer's Disease Applying Multiple Morphological Metrics and Deep Semantic Features From Structural MRI
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Aging Neuroscience"
DOI: 10.3389/fnagi.2022.856391
Abstract: It is of potential clinical value to improve the accuracy of Alzheimer's disease (AD) recognition using structural MRI. We proposed a reparametrized convolutional neural network (Re-CNN) to discriminate AD from NC by applying morphological metrics… read more here.
Keywords: structural mri; alzheimer disease; model; semantic features ... See more keywords
Semantics in the Deep: Semantic Analytics for Big Data
Sign Up to like & getrecommendations! Published in 2019 at "Data"
DOI: 10.3390/data4020063
Abstract: One cannot help but classify the continuous birth and demise of Artificial Intelligence (AI) trends into the everlasting theme of the battle between connectionist and symbolic AI [...] read more here.
Keywords: semantics deep; analytics big; semantics; deep semantic ... See more keywords