Results 31 to 40 of about 3,482,126 (371)
Exploring Semi-Supervised Methods for Labeling Support in Multimodal Datasets
Sensors, 2018 Working with multimodal datasets is a challenging task as it requires annotations which often are time consuming and difficult to acquire. This includes in particular video recordings which often need to be watched as a whole before they can be labeled ...
Alexander Diete +2 more
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Language-Agnostic Relation Extraction from Abstracts in Wikis
Information, 2018 Large-scale knowledge graphs, such as DBpedia, Wikidata, or YAGO, can be enhanced by relation extraction from text, using the data in the knowledge graph as training data, i.e., using distant supervision.
Nicolas Heist +2 more
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Collecting a Large Scale Dataset for Classifying Fake News Tweets Using Weak Supervision
Future Internet, 2021 The problem of automatic detection of fake news in social media, e.g., on Twitter, has recently drawn some attention. Although, from a technical perspective, it can be regarded as a straight-forward, binary classification problem, the major challenge is ...
Stefan Helmstetter, Heiko Paulheim
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Daluang Journal of Library and Information Science, 2022 Introduction. Library repositories are indispensable for academics during a pandemic. This study aims to analyze citation trends during a pandemic.Methodology. This study uses bibliometric methods to analyze metadata of publications on the Web of Science
Akhmad Kusuma Wardhana, R. Ratnasari
semanticscholar +1 more source
International Journal of Environmental Research and Public Health, 2022 The World Health Organization has identified nervous system diseases as one of the biggest public health problems, including autism spectrum disorder (ASD).
Xiao-Wei Feng, M. Hadizadeh, J. Cheong
semanticscholar +1 more source
Frontiers in Blockchain, 2020 This work analyses blockchain-mediated decentralization based on a systematic review of the scholarly understanding of the term ‘decentralization’ across multiple disciplines from computer to political sciences, examining how its various meanings are ...
Michał R. Hoffman +2 more
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Fusing Object Information and Inertial Data for Activity Recognition
Sensors, 2019 In the field of pervasive computing, wearable devices have been widely used for recognizing human activities. One important area in this research is the recognition of activities of daily living where especially inertial sensors and interaction sensors ...
Alexander Diete, Heiner Stuckenschmidt
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Learning Human Activity From Visual Data Using Deep Learning
IEEE Access, 2021 Advances in wearable technologies have the ability to revolutionize and improve people’s lives. The gains go beyond the personal sphere, encompassing business and, by extension, the global economy.
Taha Alhersh +3 more
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A Model for Web-Intelligence Index to Evaluate the Web Intelligence Capacity of Government Web Sites of Sri Lanka [PDF]
British Journal of Mathematics & Computer Science, 12(6): 1-12,
2016, Article no.BJMCS.22654, ISSN: 2231-0851, 2015 Web intelligence can be considered as a subset of Artificial Intelligence. It uses existing data in web to produce new data, knowledge and wisdom to support decision making and new predictions for web users. Artificial Intelligence is ever changing and evolving field of computer science and it is extensively used in wide array of web based business ...
arxiv +1 more source
Journal of Quality Assurance in Hospitality & Tourism, 2021 Service quality and customer satisfaction (SQCS) have been one of the most-discussed themes in the last two decades in tourism and hospitality research.
Shyju P.J. +5 more
semanticscholar +1 more source