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Knowledge Representation Concepts for Automated SLA Management [PDF]
, 2006 Outsourcing of complex IT infrastructure to IT service providers has increased substantially during the past years. IT service providers must be able to fulfil their service-quality commitments based upon predefined Service Level Agreements (SLAs) with ...
Adrian Paschke, Martin Bichler
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LEGAL KNOWLEDGE REPRESENTATION MODEL
Известия высших учебных заведений. Поволжский регион:Технические науки, 2020 Background. The need to automate the decision-making process on legal issues in various fields of human activity determines the importance of this work.
P. A. Gudkov, E. M. Podmar'kova
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Human white matter and knowledge representation. [PDF]
PLoS Biology, 2018 Understanding how knowledge is represented in the human brain is a fundamental challenge in neuroscience. To date, most of the work on this topic has focused on knowledge representation in cortical areas and debated whether knowledge is represented in a ...
Franco Pestilli
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Knowledge Representation [PDF]
Knowledge-Based Systems, 1990 This work analyses main features that should be present in knowledge representation. It suggests a model for representation and a way to implement this model in software. Representation takes care of both low-level sensor information and high-level concepts.
Louis F. Pau, Claudio Gianotti
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Explainable online health information truthfulness in Consumer Health Search
Frontiers in Artificial Intelligence, 2023 IntroductionPeople are today increasingly relying on health information they find online to make decisions that may impact both their physical and mental wellbeing.
Rishabh Upadhyay +3 more
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Using Proximity Graph Cut for Fast and Robust Instance-Based Classification in Large Datasets
Complexity, 2021 K-nearest neighbours (kNN) is a very popular instance-based classifier due to its simplicity and good empirical performance. However, large-scale datasets are a big problem for building fast and compact neighbourhood-based classifiers. This work presents
Stanislav Protasov, Adil Mehmood Khan
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Comprehensive machine learning based study of the chemical space of herbicides
Scientific Reports, 2021 Widespread use of herbicides results in the global increase in weed resistance. The rotational use of herbicides according to their modes of action (MoAs) and discovery of novel phytotoxic molecules are the two strategies used against the weed resistance.
Davor Oršolić +3 more
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Review and Chemoinformatic Analysis of Ferroptosis Modulators with a Focus on Natural Plant Products
Molecules, 2023 Ferroptosis is a regular cell death pathway that has been proposed as a suitable therapeutic target in cancer and neurodegenerative diseases. Since its definition in 2012, a few hundred ferroptosis modulators have been reported.
Višnja Stepanić +1 more
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Redox Active Molecules in Cancer Treatments
Molecules, 2023 Cancer is one of the leading causes of death worldwide, with nearly 10 million deaths in 2020 [...]
Višnja Stepanić +1 more
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Temporal Knowledge Graph Representation Learning [PDF]
Jisuanji kexue, 2022 As a structured form of human knowledge,knowledge graphs have played a great supportive role in supporting the semantic intercommunication of massive,multi-source,heterogeneous data,and effectively support tasks such as data analysis,attracting the ...
XU Yong-xin, ZHAO Jun-feng, WANG Ya-sha, XIE Bing, YANG Kai
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