AIMC Topic: Semantics

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SpiNet - A FrameNet-like Schema for Automatic Information Extraction about Spine from Scientific Papers.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
New medical research concerning the spine and its diseases are incrementally made available through biomedical literature repositories. Several Natural Language Processing (NLP) tasks, like Semantic Role Labelling (SRL) and Information Extraction (IE...
Spine Semantics Biomedical Research Information Storage and Retrieval Humans Natural Language Processing
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Words as a window: Using word embeddings to explore the learned representations of Convolutional Neural Networks.

Neural networks : the official journal of the International Neural Network Society Jan 22, 2021
As deep neural net architectures minimize loss, they accumulate information in a hierarchy of learned representations that ultimately serve the network's final goal. Different architectures tackle this problem in slightly different ways, but all crea...
Computer Security Semantic Web Machine Learning Semantics
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Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological Images.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 21, 2021
Instance segmentation is an important task for biomedical and biological image analysis. Due to the complicated background components, the high variability of object appearances, numerous overlapping objects, and ambiguous object boundaries, this tas...
Diagnostic Imaging Semantics Plants Algorithms Image Processing, Computer-Assisted Neural Networks, Computer Humans
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MaskLayer: Enabling scalable deep learning solutions by training embedded feature sets.

Neural networks : the official journal of the International Neural Network Society Jan 20, 2021
Deep learning-based methods have shown to achieve excellent results in a variety of domains, however, some important assets are absent. Quality scalability is one of them. In this work, we introduce a novel and generic neural network layer, named Mas...
Deep Learning Cloud Computing Data Compression Semantics
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Is Context-Aware CNN Ready for the Surroundings? Panoramic Semantic Segmentation in the Wild.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 18, 2021
Semantic segmentation, unifying most navigational perception tasks at the pixel level has catalyzed striking progress in the field of autonomous transportation. Modern Convolution Neural Networks (CNNs) are able to perform semantic segmentation both ...
Image Processing, Computer-Assisted Semantics Neural Networks, Computer
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Few-Shot Human-Object Interaction Recognition With Semantic-Guided Attentive Prototypes Network.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 11, 2021
Extreme instance imbalance among categories and combinatorial explosion make the recognition of Human-Object Interaction (HOI) a challenging task. Few studies have addressed both challenges directly. Motivated by the success of few-shot learning that...
Semantics Machine Learning Pattern Recognition, Automated Attention Humans Animals Image Processing, Computer-Assisted
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Text Semantic Classification of Long Discourses Based on Neural Networks with Improved Focal Loss.

Computational intelligence and neuroscience Jan 7, 2021
Semantic classification of Chinese long discourses is an important and challenging task. Discourse text is high-dimensional and sparse. Furthermore, when the number of classes of dataset is large, the data distribution will be seriously imbalanced. I...
Learning Neural Networks, Computer Semantics
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Gender Stereotypes in Natural Language: Word Embeddings Show Robust Consistency Across Child and Adult Language Corpora of More Than 65 Million Words.

Psychological science Jan 5, 2021
Stereotypes are associations between social groups and semantic attributes that are widely shared within societies. The spoken and written language of a society affords a unique way to measure the magnitude and prevalence of these widely shared colle...
Adult Child Language Humans Semantics Family Natural Language Processing
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Multi-Scale Self-Guided Attention for Medical Image Segmentation.

IEEE journal of biomedical and health informatics Jan 5, 2021
Even though convolutional neural networks (CNNs) are driving progress in medical image segmentation, standard models still have some drawbacks. First, the use of multi-scale approaches, i.e., encoder-decoder architectures, leads to a redundant use of...
Image Processing, Computer-Assisted Semantics Neural Networks, Computer Humans
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Ontological representation, classification and data-driven computing of phenotypes.

Journal of biomedical semantics Dec 21, 2020
BACKGROUND: The successful determination and analysis of phenotypes plays a key role in the diagnostic process, the evaluation of risk factors and the recruitment of participants for clinical and epidemiological studies. The development of computable...
Medical Records Systems, Computerized Algorithms Humans Phenotype Semantics Medical Informatics Models, Theoretical Biological Ontologies
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