{"id":"https://openalex.org/W4293863515","doi":"https://doi.org/10.1109/siu55565.2022.9864887","title":"Liking Prediction Using fNIRS and Machine Learning: Comparison of Feature Extraction Methods","display_name":"Liking Prediction Using fNIRS and Machine Learning: Comparison of Feature Extraction Methods","publication_year":2022,"publication_date":"2022-05-15","ids":{"openalex":"https://openalex.org/W4293863515","doi":"https://doi.org/10.1109/siu55565.2022.9864887"},"language":"en","primary_location":{"id":"doi:10.1109/siu55565.2022.9864887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu55565.2022.9864887","pdf_url":null,"source":{"id":"https://openalex.org/S4363607818","display_name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","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/A5005976746","display_name":"Mehmet Yigit Koksal","orcid":null},"institutions":[{"id":"https://openalex.org/I1301968116","display_name":"MEF University","ror":"https://ror.org/05jz51y94","country_code":"TR","type":"education","lineage":["https://openalex.org/I1301968116"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mehmet Yigit Koksal","raw_affiliation_strings":["MEF University,Department of Information Technology,&#x0130;stanbul,Turkey","stanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MEF University,Department of Information Technology,&#x0130;stanbul,Turkey","institution_ids":["https://openalex.org/I1301968116"]},{"raw_affiliation_string":"stanbul, Turkey","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017598855","display_name":"Tuna \u00c7akar","orcid":"https://orcid.org/0000-0001-8594-7399"},"institutions":[{"id":"https://openalex.org/I1301968116","display_name":"MEF University","ror":"https://ror.org/05jz51y94","country_code":"TR","type":"education","lineage":["https://openalex.org/I1301968116"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Tuna Cakar","raw_affiliation_strings":["MEF University,Department of Information Technology,&#x0130;stanbul,Turkey","stanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MEF University,Department of Information Technology,&#x0130;stanbul,Turkey","institution_ids":["https://openalex.org/I1301968116"]},{"raw_affiliation_string":"stanbul, Turkey","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019288998","display_name":"E Tuna","orcid":"https://orcid.org/0000-0002-9945-4250"},"institutions":[{"id":"https://openalex.org/I1301968116","display_name":"MEF University","ror":"https://ror.org/05jz51y94","country_code":"TR","type":"education","lineage":["https://openalex.org/I1301968116"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Esin Tuna","raw_affiliation_strings":["MEF University,Department of Information Technology,&#x0130;stanbul,Turkey","stanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MEF University,Department of Information Technology,&#x0130;stanbul,Turkey","institution_ids":["https://openalex.org/I1301968116"]},{"raw_affiliation_string":"stanbul, Turkey","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077972270","display_name":"Yener Giri\u015fken","orcid":null},"institutions":[{"id":"https://openalex.org/I118036225","display_name":"Istanbul Bilgi University","ror":"https://ror.org/04pm4x478","country_code":"TR","type":"education","lineage":["https://openalex.org/I118036225"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Yener Girisken","raw_affiliation_strings":["Istanbul Bilgi University,Graduate School of Marketing Communications,&#x0130;stanbul,Turkey","stanbul, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istanbul Bilgi University,Graduate School of Marketing Communications,&#x0130;stanbul,Turkey","institution_ids":["https://openalex.org/I118036225"]},{"raw_affiliation_string":"stanbul, Turkey","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3194,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44946011,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.6223999857902527,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.6223999857902527,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.5590000152587891,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10977","display_name":"Optical Imaging and Spectroscopy Techniques","score":0.5142999887466431,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.7647092342376709},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7631316184997559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.705531656742096},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5668853521347046},{"id":"https://openalex.org/keywords/functional-near-infrared-spectroscopy","display_name":"Functional near-infrared spectroscopy","score":0.5511549711227417},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5010411739349365},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4776807427406311},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11530718207359314},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.0913572907447815}],"concepts":[{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.7647092342376709},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7631316184997559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.705531656742096},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5668853521347046},{"id":"https://openalex.org/C130796691","wikidata":"https://www.wikidata.org/wiki/Q750537","display_name":"Functional near-infrared spectroscopy","level":4,"score":0.5511549711227417},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5010411739349365},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4776807427406311},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11530718207359314},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.0913572907447815},{"id":"https://openalex.org/C2781195155","wikidata":"https://www.wikidata.org/wiki/Q18680","display_name":"Prefrontal cortex","level":3,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/siu55565.2022.9864887","is_oa":false,"landing_page_url":"https://doi.org/10.1109/siu55565.2022.9864887","pdf_url":null,"source":{"id":"https://openalex.org/S4363607818","display_name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","raw_type":"proceedings-article"},{"id":"pmh:oai:gcris.mef.edu.tr:20.500.11779/1882","is_oa":false,"landing_page_url":"https://gcris.mef.edu.tr/items/0cebbd45-c27f-4941-ada8-c0f62ea4444d/request-a-copy?bitstream=527786bd-b71e-4a3e-9990-77d8be1798cd","pdf_url":null,"source":{"id":"https://openalex.org/S7407055184","display_name":"MEF University Institutional Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"Conference Object"},{"id":"pmh:oai:openaccess.mef.edu.tr:20.500.11779/1882","is_oa":false,"landing_page_url":"https://siu2022.bau.edu.tr/en/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400448","display_name":"MEF University Institutional Repository (MEF University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1301968116","host_organization_name":"MEF University","host_organization_lineage":["https://openalex.org/I1301968116"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2601157893","https://openalex.org/W2373006798","https://openalex.org/W2131735617","https://openalex.org/W2056912418","https://openalex.org/W2123759770","https://openalex.org/W2151520854","https://openalex.org/W2033213769","https://openalex.org/W4312376745","https://openalex.org/W2136016640","https://openalex.org/W2043960970"],"abstract_inverted_index":{"The":[0],"fMRI":[1,39],"method,":[2,48],"which":[3,77],"is":[4,28,35],"generally":[5],"used":[6],"to":[7],"detect":[8],"behavioral":[9],"patterns,":[10],"draws":[11],"attention":[12],"with":[13],"its":[14],"expensive":[15,30],"and":[16,31],"impractical":[17],"features.":[18],"On":[19],"the":[20,79,84],"other":[21],"hand,":[22],"near":[23],"infrared":[24],"spectroscopy":[25],"(fNIRS)":[26],"method":[27],"less":[29],"portable,":[32],"but":[33],"it":[34],"as":[36,38],"effective":[37],"in":[40],"creating":[41],"a":[42,49,60],"good":[43],"prediction":[44],"model.":[45,85],"With":[46],"this":[47],"model":[50],"has":[51],"been":[52],"developed":[53],"that":[54],"can":[55],"predict":[56],"whether":[57],"people":[58],"like":[59],"stimulus":[61],"or":[62],"not,":[63],"using":[64],"machine":[65],"learning":[66],"various":[67],"algorithms.":[68],"A":[69],"comparison":[70],"was":[71,78],"made":[72],"between":[73],"feature":[74],"extraction":[75],"methods,":[76],"main":[80],"focus":[81],"while":[82],"developing":[83]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
