Results 11 to 20 of about 7,273,685 (301)

INFORMATION REPRESENTATION METHODS IN SIMPLE SEMANTIC NETWORKS [PDF]

open access: yesНаучно-технический вестник информационных технологий, механики и оптики, 2020
Subject of Research. The paper presents a review of the currently existing basic types of simple semantic networks. We highlight and describe distinguishing features of relations that determine the type of semantic network and the methods of presenting ...
Larisa A. Artyushina
doaj   +1 more source

Connections and Biases in Health Equity and Culture Research: A Semantic Network Analysis

open access: yesFrontiers in Public Health, 2022
Health equity is a rather complex issue. Social context and economical disparities, are known to be determining factors. Cultural and educational constrains however, are also important contributors to the establishment and development of health ...
Mireya Martínez-García   +4 more
doaj   +1 more source

Semantic Networks for Engineering Design: State of the Art and Future Directions

open access: yesJournal of Mechanical Design, 2021
In the past two decades, there has been increasing use of semantic networks in engineering design for supporting various activities, such as knowledge extraction, prior art search, idea generation and evaluation.
Ji Han   +3 more
semanticscholar   +1 more source

Fully convolutional networks for semantic segmentation [PDF]

open access: yesComputer Vision and Pattern Recognition, 2014
Convolutional networks are powerful visual models that yield hierarchies of features. We show that convolutional networks by themselves, trained end-to-end, pixels-to-pixels, exceed the state-of-the-art in semantic segmentation.
Evan Shelhamer   +2 more
semanticscholar   +1 more source

Hybrid attention mechanism for few‐shot relational learning of knowledge graphs

open access: yesIET Computer Vision, 2021
Few‐shot knowledge graph (KG) reasoning is the main focus in the field of knowledge graph reasoning. In order to expand the application fields of the knowledge graph, a large number of studies are based on a large number of training samples.
Ruixin Ma   +3 more
doaj   +1 more source

Using interactive semantic networks as an augmented reality element in autonomous learning

open access: yesJournal of Physics: Conference Series, 2021
This paper focuses on the using augmented reality elements in the educational process, in particular in autonomous learning. The possibility of using interactive semantic networks in learning foreign languages is considered.
R. Tarasenko   +3 more
semanticscholar   +1 more source

Generative Adversarial Networks to Improve the Robustness of Visual Defect Segmentation by Semantic Networks in Manufacturing Components

open access: yesApplied Sciences, 2021
This paper describes the application of Semantic Networks for the detection of defects in images of metallic manufactured components in a situation where the number of available samples of defects is small, which is rather common in real practical ...
Fátima A. Saiz   +3 more
semanticscholar   +1 more source

Perceptual Connectivity Influences Toddlers’ Attention to Known Objects and Subsequent Label Processing

open access: yesBrain Sciences, 2021
While recent research suggests that toddlers tend to learn word meanings with many “perceptual” features that are accessible to the toddler’s sensory perception, it is not clear whether and how building a lexicon with perceptual connectivity supports ...
Ryan E. Peters   +2 more
doaj   +1 more source

Beauty and Wellness in the Semantic Memory of the Beholder

open access: yesFrontiers in Psychology, 2021
Beauty and wellness are terms used often in common parlance, however their meaning and relation to each other is unclear. To probe their meaning, we applied network science methods to estimate and compare the semantic networks associated with beauty and ...
Yoed N. Kenett   +3 more
doaj   +1 more source

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks [PDF]

open access: yesAnnual Meeting of the Association for Computational Linguistics, 2015
Because of their superior ability to preserve sequence information over time, Long Short-Term Memory (LSTM) networks, a type of recurrent neural network with a more complex computational unit, have obtained strong results on a variety of sequence ...
Kai Sheng Tai   +2 more
semanticscholar   +1 more source

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