FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2049296440> ?p ?o ?g. }

• W2049296440 endingPage "62" @default.
• W2049296440 startingPage "57" @default.
• W2049296440 abstract "Visual media are powerful means of expressing emotions and sentiments. The constant generation of new content in social networks highlights the need of automated visual sentiment analysis tools. While Convolutional Neural Networks (CNNs) have established a new state-of-the-art in several vision problems, their application to the task of sentiment analysis is mostly unexplored and there are few studies regarding how to design CNNs for this purpose. In this work, we study the suitability of fine-tuning a CNN for visual sentiment prediction as well as explore performance boosting techniques within this deep learning setting. Finally, we provide a deep-dive analysis into a benchmark, state-of-the-art network architecture to gain insight about how to design patterns for CNNs on the task of visual sentiment prediction." @default.
• W2049296440 created "2016-06-24" @default.
• W2049296440 creator A5000613714 @default.
• W2049296440 creator A5006517585 @default.
• W2049296440 creator A5051863471 @default.
• W2049296440 creator A5062691145 @default.
• W2049296440 date "2015-10-30" @default.
• W2049296440 modified "2023-09-26" @default.
• W2049296440 title "Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction" @default.
• W2049296440 cites W1546411676 @default.
• W2049296440 cites W1677182931 @default.
• W2049296440 cites W1849277567 @default.
• W2049296440 cites W1875160599 @default.
• W2049296440 cites W1950412479 @default.
• W2049296440 cites W1956701811 @default.
• W2049296440 cites W2003249666 @default.
• W2049296440 cites W2003856922 @default.
• W2049296440 cites W2009059481 @default.
• W2049296440 cites W2017411072 @default.
• W2049296440 cites W2039583460 @default.
• W2049296440 cites W2044173330 @default.
• W2049296440 cites W2062118960 @default.
• W2049296440 cites W2070698320 @default.
• W2049296440 cites W2075456404 @default.
• W2049296440 cites W2082398333 @default.
• W2049296440 cites W2093862925 @default.
• W2049296440 cites W2097117768 @default.
• W2049296440 cites W2108598243 @default.
• W2049296440 cites W2110700950 @default.
• W2049296440 cites W2112796928 @default.
• W2049296440 cites W2129706758 @default.
• W2049296440 cites W2153049579 @default.
• W2049296440 cites W2155893237 @default.
• W2049296440 cites W2161381512 @default.
• W2049296440 cites W2163605009 @default.
• W2049296440 cites W2188687388 @default.
• W2049296440 cites W2952999433 @default.
• W2049296440 cites W2963173190 @default.
• W2049296440 cites W2963992782 @default.
• W2049296440 cites W2963996492 @default.
• W2049296440 cites W2964153729 @default.
• W2049296440 cites W44741455 @default.
• W2049296440 hasPublicationYear "2015" @default.
• W2049296440 type Work @default.
• W2049296440 sameAs 2049296440 @default.
• W2049296440 citedByCount "7" @default.
• W2049296440 countsByYear W20492964402016 @default.
• W2049296440 countsByYear W20492964402017 @default.
• W2049296440 countsByYear W20492964402019 @default.
• W2049296440 countsByYear W20492964402021 @default.
• W2049296440 crossrefType "proceedings-article" @default.
• W2049296440 hasAuthorship W2049296440A5000613714 @default.
• W2049296440 hasAuthorship W2049296440A5006517585 @default.
• W2049296440 hasAuthorship W2049296440A5051863471 @default.
• W2049296440 hasAuthorship W2049296440A5062691145 @default.
• W2049296440 hasConcept C108583219 @default.
• W2049296440 hasConcept C119857082 @default.
• W2049296440 hasConcept C13280743 @default.
• W2049296440 hasConcept C154945302 @default.
• W2049296440 hasConcept C162324750 @default.
• W2049296440 hasConcept C185798385 @default.
• W2049296440 hasConcept C187736073 @default.
• W2049296440 hasConcept C205649164 @default.
• W2049296440 hasConcept C2780451532 @default.
• W2049296440 hasConcept C2984842247 @default.
• W2049296440 hasConcept C41008148 @default.
• W2049296440 hasConcept C46686674 @default.
• W2049296440 hasConcept C66402592 @default.
• W2049296440 hasConcept C81363708 @default.
• W2049296440 hasConceptScore W2049296440C108583219 @default.
• W2049296440 hasConceptScore W2049296440C119857082 @default.
• W2049296440 hasConceptScore W2049296440C13280743 @default.
• W2049296440 hasConceptScore W2049296440C154945302 @default.
• W2049296440 hasConceptScore W2049296440C162324750 @default.
• W2049296440 hasConceptScore W2049296440C185798385 @default.
• W2049296440 hasConceptScore W2049296440C187736073 @default.
• W2049296440 hasConceptScore W2049296440C205649164 @default.
• W2049296440 hasConceptScore W2049296440C2780451532 @default.
• W2049296440 hasConceptScore W2049296440C2984842247 @default.
• W2049296440 hasConceptScore W2049296440C41008148 @default.
• W2049296440 hasConceptScore W2049296440C46686674 @default.
• W2049296440 hasConceptScore W2049296440C66402592 @default.
• W2049296440 hasConceptScore W2049296440C81363708 @default.
• W2049296440 hasOpenAccess W2049296440 @default.
• W2049296440 hasRelatedWork W1686810756 @default.
• W2049296440 hasRelatedWork W1784731433 @default.
• W2049296440 hasRelatedWork W1875160599 @default.
• W2049296440 hasRelatedWork W1950412479 @default.
• W2049296440 hasRelatedWork W2003856922 @default.
• W2049296440 hasRelatedWork W2046682605 @default.
• W2049296440 hasRelatedWork W2074356411 @default.
• W2049296440 hasRelatedWork W2075456404 @default.
• W2049296440 hasRelatedWork W2108598243 @default.
• W2049296440 hasRelatedWork W2110700950 @default.
• W2049296440 hasRelatedWork W2153049579 @default.
• W2049296440 hasRelatedWork W2163605009 @default.
• W2049296440 hasRelatedWork W2194775991 @default.
• W2049296440 hasRelatedWork W2253891449 @default.

• next