FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2954120306> ?p ?o ?g. }

• W2954120306 endingPage "257" @default.
• W2954120306 startingPage "235" @default.
• W2954120306 abstract "Deep learning techniques such as convolutional neural networks, autoencoders, and deep belief networks require a big amount of training data to achieve an optimal performance. Multimedia resources available on social media represent a wealth of data to satisfy this need. However, a prohibitive amount of effort is required to acquire and label such data and to process them. In this book chapter, we offer a threefold approach to tackle these issues: (1) we introduce a complex network analyser system for large-scale big data collection from online social media platforms, (2) we show the suitability of intelligent crowdsourcing and active learning approaches for effective labelling of large-scale data, and (3) we apply machine learning algorithms for extracting and learning meaningful representations from the collected data. From YouTube—the world’s largest video sharing website we have collected three databases containing a total number of 25 classes for which we have iterated thousands videos from a range of acoustic environments and human speech and vocalisation types. We show that, using the unique combination of our big data extraction and annotation systems with machine learning techniques, it is possible to create new real-world databases from social multimedia in a short amount of time." @default.
• W2954120306 created "2019-07-12" @default.
• W2954120306 creator A5010754413 @default.
• W2954120306 creator A5019651318 @default.
• W2954120306 creator A5019825395 @default.
• W2954120306 creator A5067527166 @default.
• W2954120306 creator A5072343742 @default.
• W2954120306 date "2019-01-01" @default.
• W2954120306 modified "2023-09-27" @default.
• W2954120306 title "Humans Inside: Cooperative Big Multimedia Data Mining" @default.
• W2954120306 cites W1496704041 @default.
• W2954120306 cites W1871385855 @default.
• W2954120306 cites W1964442016 @default.
• W2954120306 cites W1996379253 @default.
• W2954120306 cites W2011822607 @default.
• W2954120306 cites W2040232951 @default.
• W2954120306 cites W2052666245 @default.
• W2954120306 cites W2068396506 @default.
• W2954120306 cites W2085662862 @default.
• W2954120306 cites W2097117768 @default.
• W2954120306 cites W2101267973 @default.
• W2954120306 cites W2107756083 @default.
• W2954120306 cites W2112090702 @default.
• W2954120306 cites W2118023920 @default.
• W2954120306 cites W2158880898 @default.
• W2954120306 cites W2164727176 @default.
• W2954120306 cites W2173238699 @default.
• W2954120306 cites W2186450909 @default.
• W2954120306 cites W2246178008 @default.
• W2954120306 cites W2398014749 @default.
• W2954120306 cites W2403257023 @default.
• W2954120306 cites W2404535984 @default.
• W2954120306 cites W2408491073 @default.
• W2954120306 cites W2408690103 @default.
• W2954120306 cites W2487211121 @default.
• W2954120306 cites W2509712787 @default.
• W2954120306 cites W2512971201 @default.
• W2954120306 cites W2518110751 @default.
• W2954120306 cites W2525412388 @default.
• W2954120306 cites W2566935005 @default.
• W2954120306 cites W2593116425 @default.
• W2954120306 cites W2735449402 @default.
• W2954120306 cites W2740719713 @default.
• W2954120306 cites W2746419079 @default.
• W2954120306 cites W2775794021 @default.
• W2954120306 cites W2786267588 @default.
• W2954120306 cites W2786800255 @default.
• W2954120306 cites W2884733175 @default.
• W2954120306 cites W2893995563 @default.
• W2954120306 cites W2897297418 @default.
• W2954120306 cites W2912591385 @default.
• W2954120306 cites W2913754613 @default.
• W2954120306 cites W4243916257 @default.
• W2954120306 doi "https://doi.org/10.1007/978-3-030-15939-9_12" @default.
• W2954120306 hasPublicationYear "2019" @default.
• W2954120306 type Work @default.
• W2954120306 sameAs 2954120306 @default.
• W2954120306 citedByCount "2" @default.
• W2954120306 countsByYear W29541203062018 @default.
• W2954120306 countsByYear W29541203062019 @default.
• W2954120306 crossrefType "book-chapter" @default.
• W2954120306 hasAuthorship W2954120306A5010754413 @default.
• W2954120306 hasAuthorship W2954120306A5019651318 @default.
• W2954120306 hasAuthorship W2954120306A5019825395 @default.
• W2954120306 hasAuthorship W2954120306A5067527166 @default.
• W2954120306 hasAuthorship W2954120306A5072343742 @default.
• W2954120306 hasConcept C108583219 @default.
• W2954120306 hasConcept C111919701 @default.
• W2954120306 hasConcept C119857082 @default.
• W2954120306 hasConcept C124101348 @default.
• W2954120306 hasConcept C136764020 @default.
• W2954120306 hasConcept C154945302 @default.
• W2954120306 hasConcept C2522767166 @default.
• W2954120306 hasConcept C41008148 @default.
• W2954120306 hasConcept C49774154 @default.
• W2954120306 hasConcept C518677369 @default.
• W2954120306 hasConcept C62230096 @default.
• W2954120306 hasConcept C75684735 @default.
• W2954120306 hasConcept C81363708 @default.
• W2954120306 hasConcept C98045186 @default.
• W2954120306 hasConceptScore W2954120306C108583219 @default.
• W2954120306 hasConceptScore W2954120306C111919701 @default.
• W2954120306 hasConceptScore W2954120306C119857082 @default.
• W2954120306 hasConceptScore W2954120306C124101348 @default.
• W2954120306 hasConceptScore W2954120306C136764020 @default.
• W2954120306 hasConceptScore W2954120306C154945302 @default.
• W2954120306 hasConceptScore W2954120306C2522767166 @default.
• W2954120306 hasConceptScore W2954120306C41008148 @default.
• W2954120306 hasConceptScore W2954120306C49774154 @default.
• W2954120306 hasConceptScore W2954120306C518677369 @default.
• W2954120306 hasConceptScore W2954120306C62230096 @default.
• W2954120306 hasConceptScore W2954120306C75684735 @default.
• W2954120306 hasConceptScore W2954120306C81363708 @default.
• W2954120306 hasConceptScore W2954120306C98045186 @default.
• W2954120306 hasLocation W29541203061 @default.
• W2954120306 hasOpenAccess W2954120306 @default.
• W2954120306 hasPrimaryLocation W29541203061 @default.
• W2954120306 hasRelatedWork W1981106085 @default.

• next