Assessing Graph‐based Deep Learning Models for Predicting Flash Point
Sign Up to like & getrecommendations! Published in 2020 at "Molecular Informatics"
DOI: 10.1002/minf.201900101
Abstract: Flash points of organic molecules play an important role in preventing flammability hazards and large databases of measured values exist, although millions of compounds remain unmeasured. To rapidly extend existing data to new compounds many… read more here.
Keywords: graph based; flash point; deep learning; point ... See more keywords
Graph-based dynamic ensemble pruning for facial expression recognition
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DOI: 10.1007/s10489-019-01435-2
Abstract: Ensemble learning is an effective method to enhance the recognition accuracy of facial expressions. The performance of ensemble learning can be affected by many factors, such as the accuracy of the classifier pool’s component members… read more here.
Keywords: based dynamic; dynamic ensemble; graph based; ensemble pruning ... See more keywords
KG-DTI: a knowledge graph based deep learning method for drug-target interaction predictions and Alzheimer’s disease drug repositions
Sign Up to like & getrecommendations! Published in 2022 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02454-8
Abstract: Drug repositioning, which recommends approved drugs to potential targets by predicting drug-target interactions (DTIs), can save the cost and shorten the period of drug development. In this work, we propose a novel knowledge graph based… read more here.
Keywords: knowledge graph; drug; target; drug target ... See more keywords
Robust classification of graph-based data
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DOI: 10.1007/s10618-018-0603-9
Abstract: A graph-based classification method is proposed for both semi-supervised learning in the case of Euclidean data and classification in the case of graph data. Our manifold learning technique is based on a convex optimization problem… read more here.
Keywords: loss function; classification; graph based;
Learning a graph-based classifier for fault localization
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DOI: 10.1007/s11432-019-2720-1
Abstract: Because software emerged, locating software faults has been intensively researched, culminating in various approaches and tools that have been applied in real development. Despite the success of these developments, improved tools are still demanded by… read more here.
Keywords: bug fixes; graph based; code; bug ... See more keywords
An assessment framework for improving protected areas based on morphological spatial pattern analysis and graph-based indicators
Sign Up to like & getrecommendations! Published in 2021 at "Ecological Indicators"
DOI: 10.1016/j.ecolind.2021.108138
Abstract: Abstract Zoning protected areas is essential for ecological protection and environmental management. However, the protected areas generated via bottom-up processes depend highly on the attitudes of local authorities. Moreover, the performance of protected areas will… read more here.
Keywords: based indicators; spatial pattern; protected areas; graph based ... See more keywords
Graph-based Grouping of Statistical Dependent Alarms in Automated Production Systems
Sign Up to like & getrecommendations! Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.09.607
Abstract: Abstract Causal relations between sources of industrial alarms can result in alarm floods, leading to a large number of simultaneously occurring alarms. Hence, various approaches exist to detect such alarm floods in historical alarm data… read more here.
Keywords: historical alarm; alarm; graph based; alarm data ... See more keywords
First Results in Leak Localization in Water Distribution Networks using Graph-Based Clustering and Deep Learning
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DOI: 10.1016/j.ifacol.2020.12.1104
Abstract: Abstract This paper presents a methodology for the localization of leaks in water distribution networks (WDNs) by means of the combination of a deep learning (DL) approach and a graph-based clustering technique. A data set… read more here.
Keywords: based clustering; distribution networks; water distribution; graph based ... See more keywords
Graph Based Structure Binary Pattern for Face Analysis
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DOI: 10.1016/j.ijleo.2021.166965
Abstract: Abstract This work presents novel LBP variant so-called Graph Based Structure Binary Pattern (GBSBP) in different challenges. By considering 3×5 & 5×3 pixel windows, 4 graphs are created & each graph structure is injected with… read more here.
Keywords: binary pattern; structure binary; structure; based structure ... See more keywords
Emotion-Related Network Reorganization Following Fish Oil Supplementation in Depressed Bipolar Offspring: An fMRI Graph-Based Connectome Analysis.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of affective disorders"
DOI: 10.1016/j.jad.2021.05.086
Abstract: INTRODUCTION Mood disorders are associated with fronto-limbic structural and functional abnormalities and deficits in omega-3 polyunsaturated fatty acids including eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA). Emerging evidence also suggests that n-3 PUFA, which are… read more here.
Keywords: oil supplementation; network; graph based; fish oil ... See more keywords
Structural graph‐based morphometry: A multiscale searchlight framework based on sulcal pits
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DOI: 10.1016/j.media.2016.04.011
Abstract: &NA; Studying the topography of the cortex has proved valuable in order to characterize populations of subjects. In particular, the recent interest towards the deepest parts of the cortical sulci – the so‐called sulcal pits… read more here.
Keywords: structural graph; graph based; framework; based morphometry ... See more keywords