AIMC Topic: Semantics

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Environmental sound classification using temporal-frequency attention based convolutional neural network.

Scientific reports Nov 3, 2021
Environmental sound classification is one of the important issues in the audio recognition field. Compared with structured sounds such as speech and music, the time-frequency structure of environmental sounds is more complicated. In order to learn ti...
Humans Neural Networks, Computer Sound Attention Acoustics Music Recognition, Psychology Semantics Motivation Models, Theoretical Speech Noise Models, Statistical Research Design Learning Algorithms
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FCL-Net: Towards accurate edge detection via Fine-scale Corrective Learning.

Neural networks : the official journal of the International Neural Network Society Oct 29, 2021
Integrating multi-scale predictions has become a mainstream paradigm in edge detection. However, most existing methods mainly focus on effective feature extraction and multi-scale feature fusion while ignoring the low learning capacity in fine-level ...
Cues Neural Networks, Computer Semantics Image Processing, Computer-Assisted
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GuidedStyle: Attribute knowledge guided style manipulation for semantic face editing.

Neural networks : the official journal of the International Neural Network Society Oct 28, 2021
Although significant progress has been made in synthesizing high-quality and visually realistic face images by unconditional Generative Adversarial Networks (GANs), there is still a lack of control over the generation process in order to achieve sema...
Image Processing, Computer-Assisted Semantics Neural Networks, Computer
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SEFPN: Scale-Equalizing Feature Pyramid Network for Object Detection.

Sensors (Basel, Switzerland) Oct 27, 2021
Feature Pyramid Network (FPN) is used as the neck of current popular object detection networks. Research has shown that the structure of FPN has some defects. In addition to the loss of information caused by the reduction of the channel number, the f...
Semantics Neural Networks, Computer
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Estimating redundancy in clinical text.

Journal of biomedical informatics Oct 23, 2021
The current mode of use of Electronic Health Records (EHR) elicits text redundancy. Clinicians often populate new documents by duplicating existing notes, then updating accordingly. Data duplication can lead to propagation of errors, inconsistencies ...
Semantics Language Natural Language Processing Narration Electronic Health Records
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Sky and Ground Segmentation in the Navigation Visions of the Planetary Rovers.

Sensors (Basel, Switzerland) Oct 21, 2021
Sky and ground are two essential semantic components in computer vision, robotics, and remote sensing. The sky and ground segmentation has become increasingly popular. This research proposes a sky and ground segmentation framework for the rover navig...
Semantics Robotics Neural Networks, Computer Image Processing, Computer-Assisted
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An Automatic Detection and Classification System of Five Stages for Hypertensive Retinopathy Using Semantic and Instance Segmentation in DenseNet Architecture.

Sensors (Basel, Switzerland) Oct 19, 2021
The stage and duration of hypertension are connected to the occurrence of Hypertensive Retinopathy (HR) of eye disease. Currently, a few computerized systems have been developed to recognize HR by using only two stages. It is difficult to define spec...
Humans Hypertensive Retinopathy Semantics Deep Learning Diabetic Retinopathy Fundus Oculi
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Personality Classification of Social Users Based on Feature Fusion.

Sensors (Basel, Switzerland) Oct 12, 2021
Based on the openness and accessibility of user data, personality recognition is widely used in personalized recommendation, intelligent medicine, natural language processing, and so on. Existing approaches usually adopt a single deep learning mechan...
Semantics Natural Language Processing Personality Neural Networks, Computer
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Decoding Interaction Patterns from the Chemical Sequence of Polymers Using Neural Networks.

ACS macro letters Oct 11, 2021
The relation between chemical sequences and the properties of polymers is considered using artificial neural networks with a low-dimensional bottleneck layer of neurons. These encoder-decoder architectures may compress the input information into a me...
Semantics Polymers Entropy Neural Networks, Computer Neurons
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A practical approach towards causality mining in clinical text using active transfer learning.

Journal of biomedical informatics Oct 8, 2021
OBJECTIVE: Causality mining is an active research area, which requires the application of state-of-the-art natural language processing techniques. In the healthcare domain, medical experts create clinical text to overcome the limitation of well-defin...
Machine Learning Natural Language Processing Semantics Data Mining
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