{"id":"https://openalex.org/W4394861155","doi":"https://doi.org/10.1109/qicar61538.2024.10496639","title":"Webpage Saliency Prediction Using a Single Layer Support Vector Regressor","display_name":"Webpage Saliency Prediction Using a Single Layer Support Vector Regressor","publication_year":2024,"publication_date":"2024-02-29","ids":{"openalex":"https://openalex.org/W4394861155","doi":"https://doi.org/10.1109/qicar61538.2024.10496639"},"language":"en","primary_location":{"id":"doi:10.1109/qicar61538.2024.10496639","doi":"https://doi.org/10.1109/qicar61538.2024.10496639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qicar61538.2024.10496639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Artificial Intelligence and Robotics (QICAR)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5104076565","display_name":"Ali Mazaheri","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210109871","display_name":"Khatam University","ror":"https://ror.org/016tr2g85","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210109871"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Ali Mazaheri","raw_affiliation_strings":["Khatam University,Computer Engineering Department,Tehran,Iran","Computer Engineering Department, Khatam University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Khatam University,Computer Engineering Department,Tehran,Iran","institution_ids":["https://openalex.org/I4210109871"]},{"raw_affiliation_string":"Computer Engineering Department, Khatam University, Tehran, Iran","institution_ids":["https://openalex.org/I4210109871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064513047","display_name":"Shiva Kamkar","orcid":"https://orcid.org/0000-0002-3074-3396","observed_orcids":["https://orcid.org/0000-0002-3074-3396"]},"institutions":[{"id":"https://openalex.org/I4210109871","display_name":"Khatam University","ror":"https://ror.org/016tr2g85","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210109871"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Shiva Kamkar","raw_affiliation_strings":["Khatam University,Computer Engineering Department,Tehran,Iran","Computer Engineering Department, Khatam University, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Khatam University,Computer Engineering Department,Tehran,Iran","institution_ids":["https://openalex.org/I4210109871"]},{"raw_affiliation_string":"Computer Engineering Department, Khatam University, Tehran, Iran","institution_ids":["https://openalex.org/I4210109871"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210109871"],"apc_list":null,"apc_paid":null,"fwci":0.2803,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55291099,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"80","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994999766349792,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9994999766349792,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.00039999998989515007,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/support-vector-regression","display_name":"support vector regression","score":0.722000002861023},{"id":"https://openalex.org/keywords/visual-attention","display_name":"visual attention","score":0.7720000147819519},{"id":"https://openalex.org/keywords/web-design","display_name":"web design","score":0.7279999852180481},{"id":"https://openalex.org/keywords/deep-neural-network","display_name":"deep neural network","score":0.5960000157356262}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6446118950843811},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6373806595802307},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.5985459089279175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44093915820121765},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.4335617423057556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4180624485015869},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35442739725112915},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.18722990155220032},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1377423107624054},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.07948726415634155}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/qicar61538.2024.10496639","doi":"https://doi.org/10.1109/qicar61538.2024.10496639","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qicar61538.2024.10496639","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 10th International Conference on Artificial Intelligence and Robotics (QICAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W938601501","https://openalex.org/W1895838842","https://openalex.org/W1991471040","https://openalex.org/W2336525740","https://openalex.org/W2509231440","https://openalex.org/W2552495561","https://openalex.org/W2594165925","https://openalex.org/W2613995098","https://openalex.org/W2622335352","https://openalex.org/W2754566651","https://openalex.org/W2765825458","https://openalex.org/W2767384006","https://openalex.org/W2800458271","https://openalex.org/W2896172606","https://openalex.org/W2946936067","https://openalex.org/W2967615747","https://openalex.org/W2984960739","https://openalex.org/W3000264015","https://openalex.org/W3042360849","https://openalex.org/W3090835105","https://openalex.org/W3199495496","https://openalex.org/W3214642434","https://openalex.org/W4285254309"],"related_works":["https://openalex.org/W2594165925","https://openalex.org/W2509231440","https://openalex.org/W2896172606","https://openalex.org/W2963499152","https://openalex.org/W4234617775","https://openalex.org/W1895838842","https://openalex.org/W4401720195","https://openalex.org/W2805759527","https://openalex.org/W2754566651","https://openalex.org/W2808216484"],"abstract_inverted_index":{"Websites":[0],"play":[1],"an":[2,91],"important":[3],"role":[4],"in":[5,35,42,47,61,117],"human":[6,23],"lives":[7],"due":[8],"to":[9,93,99,132,144,150,177],"virtual":[10],"communication,":[11],"online":[12,17],"learning,":[13],"social":[14],"networks,":[15],"and":[16,44,73,110,114,136],"business.":[18],"Studying":[19],"the":[20,49,62,152,161,164,168,172,180],"pattern":[21],"of":[22,66,82,105,108,120,163],"visual":[24],"attention":[25],"while":[26],"navigating":[27],"web":[28,36,154],"pages":[29],"is":[30,54,142],"beneficial.":[31],"Considering":[32],"such":[33,68],"information":[34,141],"design":[37],"helps":[38],"increase":[39],"users\u2019":[40],"satisfaction":[41,46],"browsing":[43],"designers\u2019":[45],"arranging":[48],"content.":[50],"Webpage":[51],"saliency":[52,77,96,156],"detection":[53],"more":[55],"challenging":[56],"than":[57],"finding":[58],"conspicuous":[59],"areas":[60,135],"natural":[63,76,137],"images":[64],"because":[65],"items":[67],"as":[69],"buttons,":[70],"input":[71],"boxes":[72],"menus.":[74],"The":[75],"prediction":[78],"methods":[79],"fall":[80],"short":[81],"delivering":[83],"acceptable":[84],"performance.":[85],"In":[86],"this":[87,140],"article,":[88],"we":[89],"proposed":[90,165],"algorithm":[92],"predict":[94],"a":[95,118,145],"map":[97],"corresponding":[98,173],"any":[100],"webpage.":[101],"This":[102],"method":[103,166],"consists":[104],"two":[106,127],"phases":[107],"low-level":[109],"high-level":[111],"feature":[112],"extractions":[113],"using":[115],"them":[116],"group":[119],"support":[121,147],"vector":[122,148],"regressors.":[123],"We":[124],"benefitted":[125],"from":[126],"deep":[128],"neural":[129],"net-based":[130],"algorithms":[131],"find":[133],"text":[134],"saliency.":[138],"Next,":[139],"fed":[143],"single-layer":[146],"regressor":[149],"estimate":[151],"test":[153],"page":[155],"map.":[157],"Experiments":[158],"show":[159],"that":[160],"output":[162],"has":[167],"highest":[169],"correlation":[170],"with":[171],"ground":[174],"truth":[175],"compared":[176],"almost":[178],"all":[179],"state-of-the-art":[181],"algorithms.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2024-04-17T00:00:00"}