{"id":"https://openalex.org/W2972200503","doi":"https://doi.org/10.1109/isoen.2019.8823226","title":"Prediction of Odor Descriptor Group of Essential Oils from Mass Spectra using Machine Learning","display_name":"Prediction of Odor Descriptor Group of Essential Oils from Mass Spectra using Machine Learning","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2972200503","doi":"https://doi.org/10.1109/isoen.2019.8823226","mag":"2972200503"},"language":"en","primary_location":{"id":"doi:10.1109/isoen.2019.8823226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isoen.2019.8823226","pdf_url":null,"source":{"id":"https://openalex.org/S4306498504","display_name":"2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","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/A5067453886","display_name":"Tanoy Debnath","orcid":"https://orcid.org/0000-0002-2624-8923"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tanoy Debnath","raw_affiliation_strings":["Tokyo Institute of Technology, Yokohama, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061320577","display_name":"Dani Prasetyawan","orcid":"https://orcid.org/0000-0001-7073-9757"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Dani Prasetyawan","raw_affiliation_strings":["Tokyo Institute of Technology, Yokohama, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I114531698"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026237845","display_name":"Takamichi Nakamoto","orcid":"https://orcid.org/0000-0002-0599-226X"},"institutions":[{"id":"https://openalex.org/I114531698","display_name":"Tokyo Institute of Technology","ror":"https://ror.org/0112mx960","country_code":"JP","type":"education","lineage":["https://openalex.org/I114531698"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takamichi Nakamoto","raw_affiliation_strings":["Tokyo Institute of Technology, Yokohama, Kanagawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tokyo Institute of Technology, Yokohama, Kanagawa, Japan","institution_ids":["https://openalex.org/I114531698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4985,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63113579,"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":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9995999932289124,"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":0.9995999932289124,"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/T10971","display_name":"Olfactory and Sensory Function Studies","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/2809","display_name":"Sensory Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12321","display_name":"Insect Pheromone Research and Control","score":0.974399983882904,"subfield":{"id":"https://openalex.org/subfields/1109","display_name":"Insect Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/odor","display_name":"Odor","score":0.8875730633735657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7241311073303223},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6570995450019836},{"id":"https://openalex.org/keywords/mass-spectrum","display_name":"Mass spectrum","score":0.6064333319664001},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6048573851585388},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5852087736129761},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.530491828918457},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.502990186214447},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.4724177420139313},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.41933584213256836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3780888020992279},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.21365952491760254},{"id":"https://openalex.org/keywords/mass-spectrometry","display_name":"Mass spectrometry","score":0.09989526867866516},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.0661640465259552}],"concepts":[{"id":"https://openalex.org/C2778916471","wikidata":"https://www.wikidata.org/wiki/Q485537","display_name":"Odor","level":2,"score":0.8875730633735657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7241311073303223},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6570995450019836},{"id":"https://openalex.org/C40325409","wikidata":"https://www.wikidata.org/wiki/Q2360668","display_name":"Mass spectrum","level":3,"score":0.6064333319664001},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6048573851585388},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5852087736129761},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.530491828918457},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.502990186214447},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.4724177420139313},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.41933584213256836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3780888020992279},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.21365952491760254},{"id":"https://openalex.org/C162356407","wikidata":"https://www.wikidata.org/wiki/Q180809","display_name":"Mass spectrometry","level":2,"score":0.09989526867866516},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0661640465259552},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isoen.2019.8823226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isoen.2019.8823226","pdf_url":null,"source":{"id":"https://openalex.org/S4306498504","display_name":"2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Symposium on Olfaction and Electronic Nose (ISOEN)","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:00897:0004329223","is_oa":false,"landing_page_url":"http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100811914","pdf_url":null,"source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"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 paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334789","display_name":"Japan Science and Technology Agency","ror":"https://ror.org/00097mb19"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W571695957","https://openalex.org/W2472841255","https://openalex.org/W2499487175","https://openalex.org/W2589330732","https://openalex.org/W2808534407","https://openalex.org/W4244509809"],"related_works":["https://openalex.org/W2085677935","https://openalex.org/W2389617532","https://openalex.org/W2184842172","https://openalex.org/W2057749067","https://openalex.org/W3155832235","https://openalex.org/W2095641227","https://openalex.org/W4968207","https://openalex.org/W2350990509","https://openalex.org/W3088345466","https://openalex.org/W2034832342"],"abstract_inverted_index":{"Olfactory":[0],"perception":[1],"is":[2,53,80],"still":[3],"a":[4,20,124],"difficult":[5],"task":[6],"from":[7,29,85],"its":[8,30],"chemical":[9],"properties":[10],"to":[11,23,71,83,87,114,122],"perceive":[12],"the":[13,25,34,38,50,60,111],"odor.":[14],"In":[15],"this":[16],"paper,":[17],"we":[18,57,101],"report":[19],"computational":[21],"method":[22],"predict":[24,123],"odor":[26,42,67,76,116],"descriptor":[27,117],"group":[28,125],"mass":[31,90,107],"spectrum.":[32],"When":[33],"database":[35],"only":[36,44],"indicates":[37],"existence":[39],"of":[40,66,74,126],"each":[41],"descriptor,":[43],"binary":[45],"data":[46],"are":[47,69,93,99],"available.":[48],"However,":[49],"prediction":[51],"accuracy":[52],"very":[54],"low":[55],"because":[56],"cannot":[58],"consider":[59],"similarities":[61],"among":[62],"descriptors.":[63,77],"Thus,":[64],"clustering":[65,113],"descriptors":[68,127],"necessary":[70],"make":[72,115],"groups":[73],"similar":[75],"Although":[78],"it":[79],"not":[81],"easy":[82],"map":[84],"one":[86],"another":[88],"as":[89],"spectra":[91,108],"dataset":[92],"highly":[94],"dimensional":[95],"and":[96,109],"their":[97],"structure":[98],"nonlinear,":[100],"use":[102],"nonlinear":[103],"dimensionality":[104],"reduction":[105],"on":[106],"performs":[110],"hierarchical":[112],"groups.":[118],"This":[119],"model":[120],"helps":[121],"successfully":[128],"through":[129],"computer":[130],"simulations.":[131]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}