{"id":"https://openalex.org/W2914579872","doi":"https://doi.org/10.1109/ssci.2018.8628703","title":"Learning Visual Concepts in Images Using Temporal Convolutional Networks","display_name":"Learning Visual Concepts in Images Using Temporal Convolutional Networks","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2914579872","doi":"https://doi.org/10.1109/ssci.2018.8628703","mag":"2914579872"},"language":"en","primary_location":{"id":"doi:10.1109/ssci.2018.8628703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2018.8628703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100428444","display_name":"Qian Chen","orcid":"https://orcid.org/0000-0001-9930-2903"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Chen Qian","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010637098","display_name":"Iti Chaturvedi","orcid":"https://orcid.org/0000-0003-4602-2080"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Iti Chaturvedi","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033376109","display_name":"Soujanya Poria","orcid":"https://orcid.org/0000-0001-6924-7931"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Soujanya Poria","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100752356","display_name":"Erik Cambria","orcid":"https://orcid.org/0000-0002-3030-1280"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Erik Cambria","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, 50 Nanyang Ave, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046882068","display_name":"Lorenzo Malandri","orcid":"https://orcid.org/0000-0002-0222-9365"},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Lorenzo Malandri","raw_affiliation_strings":["Department of Management, Economics and Engineering Politecnico di Milano, Via Raffaele Lambruschini 4B, Milano, Italy"],"affiliations":[{"raw_affiliation_string":"Department of Management, Economics and Engineering Politecnico di Milano, Via Raffaele Lambruschini 4B, Milano, Italy","institution_ids":["https://openalex.org/I93860229"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100428444"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.2089,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.58063338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1280","last_page":"1284"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8511863946914673},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7540737390518188},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.646105945110321},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6387566924095154},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.638689398765564},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5623365640640259},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.47732287645339966},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4708786904811859},{"id":"https://openalex.org/keywords/adjective","display_name":"Adjective","score":0.4632467031478882},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41132745146751404},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3834773898124695},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.370464026927948},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.328693151473999},{"id":"https://openalex.org/keywords/noun","display_name":"Noun","score":0.3137013912200928},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16985037922859192}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8511863946914673},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7540737390518188},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.646105945110321},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6387566924095154},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.638689398765564},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5623365640640259},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.47732287645339966},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4708786904811859},{"id":"https://openalex.org/C2777683214","wikidata":"https://www.wikidata.org/wiki/Q34698","display_name":"Adjective","level":3,"score":0.4632467031478882},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41132745146751404},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3834773898124695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.370464026927948},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.328693151473999},{"id":"https://openalex.org/C121934690","wikidata":"https://www.wikidata.org/wiki/Q1084","display_name":"Noun","level":2,"score":0.3137013912200928},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16985037922859192},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ssci.2018.8628703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ssci.2018.8628703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Symposium Series on Computational Intelligence (SSCI)","raw_type":"proceedings-article"},{"id":"pmh:oai:boa.unimib.it:10281/401330","is_oa":false,"landing_page_url":"https://hdl.handle.net/10281/401330","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W94800547","https://openalex.org/W1618595639","https://openalex.org/W1784731433","https://openalex.org/W2019109450","https://openalex.org/W2047281828","https://openalex.org/W2048783874","https://openalex.org/W2059724699","https://openalex.org/W2075456404","https://openalex.org/W2110700950","https://openalex.org/W2130325614","https://openalex.org/W2134297857","https://openalex.org/W2170436435","https://openalex.org/W2171928131","https://openalex.org/W2266952723","https://openalex.org/W2306941105","https://openalex.org/W2403015048","https://openalex.org/W2493920898","https://openalex.org/W2500392116","https://openalex.org/W2510916058","https://openalex.org/W2583643061","https://openalex.org/W2584561145","https://openalex.org/W2599743206","https://openalex.org/W2734205292","https://openalex.org/W2739826982","https://openalex.org/W2742947407","https://openalex.org/W2745862583","https://openalex.org/W2749564305","https://openalex.org/W2765369538","https://openalex.org/W2766718178","https://openalex.org/W2767058267","https://openalex.org/W2767849480","https://openalex.org/W2771833219","https://openalex.org/W2774974668","https://openalex.org/W2780698117","https://openalex.org/W2786411768","https://openalex.org/W2788810909","https://openalex.org/W2788967885","https://openalex.org/W2790250716","https://openalex.org/W2792593939","https://openalex.org/W2805662932","https://openalex.org/W2884001105","https://openalex.org/W2887856105","https://openalex.org/W2963520511","https://openalex.org/W2963710346","https://openalex.org/W2963992782","https://openalex.org/W2964010806","https://openalex.org/W4294624038","https://openalex.org/W6638212731","https://openalex.org/W6691937106","https://openalex.org/W6693657632","https://openalex.org/W6748543919","https://openalex.org/W6748560189","https://openalex.org/W6748726628","https://openalex.org/W6765989454"],"related_works":["https://openalex.org/W4321369474","https://openalex.org/W3192794374","https://openalex.org/W2067929605","https://openalex.org/W4311257506","https://openalex.org/W4362613237","https://openalex.org/W2337926734","https://openalex.org/W4366224123","https://openalex.org/W4320802194","https://openalex.org/W4360986142","https://openalex.org/W3213901898"],"abstract_inverted_index":{"With":[0],"the":[1,6,34,65,78,93,103,113,135,157],"advancement":[2],"of":[3,9,55,89,115,137,159],"technology":[4],"and":[5,19,30,46,64,84,151],"rapid":[7],"rise":[8],"social":[10,43],"media,":[11],"people":[12],"now":[13],"tend":[14],"to":[15,26,100,111,133],"share":[16],"their":[17],"experiences":[18],"feelings":[20],"using":[21,73,106],"images.":[22],"It":[23],"is":[24,70,81,131],"useful":[25],"effectively":[27],"mine":[28],"opinions":[29],"identify":[31],"sentiments":[32,105,117,139],"from":[33,53],"images":[35,57],"available":[36],"on":[37,148],"various":[38],"platforms":[39],"for":[40,92],"tasks":[41],"like":[42],"media":[44],"marketing":[45],"user":[47],"profiling.":[48],"Visual":[49],"sentiment":[50,66],"concepts":[51],"extracted":[52],"tags":[54,91],"online":[56],"are":[58],"known":[59],"as":[60],"adjective":[61],"noun":[62],"pairs":[63],"conveyed":[67],"by":[68],"them":[69],"usually":[71],"predicted":[72],"opinion":[74],"mining":[75],"methods.":[76],"However,":[77],"pre-training":[79],"work":[80],"time":[82],"consuming":[83],"requires":[85],"huge":[86],"space.":[87],"Instead":[88],"collecting":[90],"images,":[94],"in":[95,118,140,156],"this":[96],"paper":[97],"we":[98,122],"propose":[99],"automatically":[101],"predict":[102],"corresponding":[104],"deep":[107],"convolutional":[108],"networks.":[109],"Next,":[110],"model":[112,130],"sequence":[114],"different":[116,138],"a":[119,124,129,141],"single":[120,142],"image":[121],"consider":[123],"recurrent":[125],"neural":[126],"network.":[127],"Such":[128],"able":[132],"remember":[134],"context":[136],"image.":[143],"We":[144],"applied":[145],"our":[146,152],"method":[147],"Flickr":[149],"dataset":[150],"approach":[153],"outperformed":[154],"baselines":[155],"range":[158],"3-20%.":[160]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
