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Published in 2024 at "Managerial and Decision Economics"
DOI: 10.1002/mde.4462
Abstract: This paper introduces an AI‐driven Decision Support System (DSS) for sentiment analysis of customer reviews in Starbucks UK. The methodology involves three main steps: collecting customer reviews from trusted sources, applying AI‐driven preprocessing techniques to…
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Keywords:
analysis;
graph based;
sentiment;
customer ... See more keywords
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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…
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Keywords:
graph based;
flash point;
deep learning;
point ... See more keywords
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Published in 2025 at "Environmental Management"
DOI: 10.1007/s00267-025-02206-1
Abstract: Habitat reduction is significantly threatening biodiversity, making ecological connectivity which facilitates species movement across habitat patches, essential for human impacts mitigation, promoting genetic exchange, and enabling colonization of new areas. Ecological connectivity in the River…
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Keywords:
ecological connectivity;
habitat;
graph based;
connectivity ... See more keywords
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Published in 2019 at "Applied Intelligence"
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…
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Keywords:
based dynamic;
dynamic ensemble;
graph based;
ensemble pruning ... See more keywords
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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…
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Keywords:
knowledge graph;
drug;
target;
drug target ... See more keywords
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Published in 2018 at "Data Mining and Knowledge Discovery"
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…
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Keywords:
loss function;
classification;
graph based;
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Published in 2020 at "Science China Information Sciences"
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…
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Keywords:
bug fixes;
graph based;
code;
bug ... See more keywords
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Published in 2025 at "Applied Network Science"
DOI: 10.1007/s41109-025-00733-8
Abstract: Protecting sensitive program content is a critical concern in various situations, ranging from legitimate use cases to unethical contexts. Obfuscation is one of the most used techniques to ensure such a protection. Consequently, attackers must…
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Keywords:
binary code;
analysis;
code;
graph based ... See more keywords
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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…
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Keywords:
based indicators;
spatial pattern;
protected areas;
graph based ... See more keywords
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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…
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Keywords:
historical alarm;
alarm;
graph based;
alarm data ... See more keywords
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Published in 2020 at "IFAC-PapersOnLine"
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…
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Keywords:
based clustering;
distribution networks;
water distribution;
graph based ... See more keywords