https://m2.mtmt.hu/ hun 2026-04-16 16:32 BookChapter 31848911 APPROVED true IEEE; IEEE Sensors Council Conference code: 165760 Export Date: 4 February 2021 IEEE; IEEE Sensors Council Conference code: 165760 Export Date: 8 February 2021 0 false 2024-07-21T16:17:19.369+0000 2021-02-04T15:13:24.924+0000 2021-02-04T15:07:53.210+0000 true 10023428 Szalai Bence /api/author/10023428 Author true 10023428 2021-12-02T13:27:16.467+0000 2021-12-02T13:27:16.467+0000 false false true 25 25 /api/publicationtype/25 PublicationType 2 true 25 BookChapter true 10000312 Conference paper true 25 25 /api/publicationtype/25 PublicationType 2 true 25 BookChapter /api/subtype/10000312 Konferenciaközlemény SubType 228 true 10000312 true 1 /api/category/1 Category true 1 Ito, K. Improvement of Odor Impression Predictive model using Machine Learning 9278592 9278592 2020 In the Sensory test to observe human impression for an odorant molecule, it is difficult to obtain reliable data because of its cost and complicated structure of odor perception space. However, in the previous studies, we proposed a model to predict odor impression from mass spectrum using proposed DNN. However, the accuracy of our model was still insufficient and further improvement was needed. In this study, we've studied two methods of using a large-scale dataset for training auto encoder for mass spectrum and Itakura-Saito divergence as a cost function. As a result, the correlation coefficient between predicted and true values was raised from 0.76 to 0.90. © 2020 IEEE. 2021 true true true true false NONE 2024-07-21 false 0 0 0 0 0 0 0 0 0 0 0 0 1 1 false false false false 2021-05-05T14:13:24.356+0000 4 18 0 2 0 true true 10002 English /api/language/10002 Angol Language true 2 false true 10939 true 10017 /api/country/10017 Country true 13 /api/city/10939 City true 2054246 true 26851614 IDENTICAL /api/publicationidentifier/26851614 https://doi.org/10.1109/SENSORS47125.2020 10.1109/SENSORS47125.2020 PublicationIdentifier true 6 DOI https://doi.org/@@@ /api/publicationsource/6 DOI PlainSource true true 10001 /api/publicationsourcetype/10001 PublicationSourceType true true 6 true false true 18370590 IDENTICAL /api/publicationidentifier/18370590 https://www.worldcat.org/search?q=isbn%3A9781728168012 9781728168012 PublicationIdentifier true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource true true 10002 /api/publicationsourcetype/10002 PublicationSourceType true false 122 true false true 26851613 IDENTICAL /api/publicationidentifier/26851613 https://www.worldcat.org/search?q=isbn%3A1728168015 1728168015 PublicationIdentifier true 122 ISBN https://www.worldcat.org/search?q=isbn%3A@@@ /api/publicationsource/122 ISBN PlainSource true true 10002 /api/publicationsourcetype/10002 PublicationSourceType true false 122 true false /api/publication/31848912 true true 23 23 /api/publicationtype/23 PublicationType 3 true 23 Book 2020 IEEE Sensors, SENSORS 2020 false false 31848912 false true true true true 10000144 Conference proceedings true 23 23 /api/publicationtype/23 PublicationType 3 true 23 Book /api/subtype/10000144 Konferenciakötet SubType 345 true 10000144 false Book 2020 true 1 /api/category/1 Category true 1 false Language 10002 /api/language/10002 Angol English true 2 true PersonAuthorship 95338361 /api/authorship/95338361 1 0.0 true false false Ito K. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PersonAuthorship 95338362 /api/authorship/95338362 2 0.0 false true false Nakamoto T. true false false AuthorshipType 1 /api/authorshiptype/1 0 true 0 true false true PublicationIdentifier 18370592 /api/publicationidentifier/18370592 PlainSource 6 /api/publicationsource/6 PublicationSourceType 10001 /api/publicationsourcetype/10001 true true true DOI DOI https://doi.org/@@@ true true 6 true IDENTICAL 10.1109/SENSORS47125.2020.9278592 https://doi.org/10.1109/SENSORS47125.2020.9278592 false true PublicationIdentifier 18370591 /api/publicationidentifier/18370591 PlainSource 3 /api/publicationsource/3 PublicationSourceType 10003 /api/publicationsourcetype/10003 false true true Scopus http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-@@@ true true 3 true IDENTICAL 85098703528 http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85098703528 false true Keyword 2599 /api/keyword/2599 true 2599 true Keyword 7769 /api/keyword/7769 true 7769 true Keyword 12390 /api/keyword/12390 true 12390 true Keyword 1011288 /api/keyword/1011288 true 1011288 true Keyword 1012052 /api/keyword/1012052 true 1012052 true Keyword 1013613 /api/keyword/1013613 true 1013613 true Keyword 1014872 /api/keyword/1014872 true 1014872 true Keyword 1069006 /api/keyword/1069006 true 1069006 true Keyword 1294170 /api/keyword/1294170 true 1294170 true Keyword 1426500 /api/keyword/1426500 true 1426500 true Keyword 1427322 /api/keyword/1427322 true 1427322 true Keyword 1538850 /api/keyword/1538850 true true Keyword 1566776 /api/keyword/1566776 true true Keyword 1590241 /api/keyword/1590241 true true Keyword 1856011 /api/keyword/1856011 true true Keyword 2267953 /api/keyword/2267953 true true Keyword 2267954 /api/keyword/2267954 true true Keyword 2267955 /api/keyword/2267955 true true Keyword 2267956 /api/keyword/2267956 true true Keyword 2267957 /api/keyword/2267957 true true Reference 3516169 /api/reference/3516169 1 false true Reference 3516168 /api/reference/3516168 2 false true Reference 3516167 /api/reference/3516167 3 false true Reference 3516166 /api/reference/3516166 4 false true Reference 3516165 /api/reference/3516165 5 false true Reference 3516164 /api/reference/3516164 6 false true Reference 3516163 /api/reference/3516163 7 false true Reference 3516162 /api/reference/3516162 8 false true Reference 3516161 /api/reference/3516161 9 false true Reference 3516160 /api/reference/3516160 10 false true /api/publication/31848911 <div class="BookChapter Publication long-list"> <div class="authors"> <img title="Idézőközlemény" style="float: left" src="/frontend/resources/grid/publication-citation-icon.png"> <div class="autype autype0"> <span class="author-name" >Ito K. </span> ;&nbsp;&nbsp;&nbsp; <span class="author-name" >Nakamoto T. </span> </div> </div> <div class="title"><a href="/gui2/?mode=browse&params=publication;31848911" target="_blank">Improvement of Odor Impression Predictive model using Machine Learning</a></div> <div class="InBook"><div class="chapter-in">In:</div> <div class="authors"> <div class="autype autype-1"> <span class="author-affil">IEEE</span> (szerk.) </div> </div> <div class="booktitle"><a href="/gui2/?mode=browse&params=publication;31848912" target="_blank">2020 IEEE Sensors, SENSORS 2020 </a></div> <div class="conference"> Konferencia helye, ideje: <span class="location">Online konferencia, Nemzetközi <span class="conference-date">2020.10.25. - 2020.10.28.</span> </div> <span class="publishedAt">Piscataway (NJ): <span class="publishers">Institute of Electrical and Electronics Engineers (IEEE)</span>, <span class="page"> Paper 9278592. </span> <span class="year">(2020)</span> ( <span class="seriesTitle">Proceedings - IEEE Sensors</span> <span class="issn">1930-0395</span> <span class="seriesVolume">; 2020-October</span>) </div> <div class="pub-footer"> <span class="language" xmlns="http://www.w3.org/1999/html">Nyelv: Angol | </span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1109/SENSORS47125.2020.9278592" target="_blank" href="https://doi.org/10.1109/SENSORS47125.2020.9278592"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="85098703528" target="_blank" href="http://www.scopus.com/record/display.url?origin=inward&eid=2-s2.0-85098703528"> Scopus </a> </span> </span> <span class="bookchapter-ids">Befoglaló link(ek):</span> <span class="identifiers"> <span class="id identifier oa_none" title="none"> <a style="color:blue" title="10.1109/SENSORS47125.2020" target="_blank" href="https://doi.org/10.1109/SENSORS47125.2020"> DOI </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:blue" title="9781728168012" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A9781728168012"> 9781728168012 </a> </span> <span class="id identifier oa_none" title="none"> <span class="isbnOrIssn"> ISBN: </span> <a style="color:blue" title="1728168015" target="_blank" href="https://www.worldcat.org/search?q=isbn%3A1728168015"> 1728168015 </a> </span> </span> <div class="publication-citation"> <a target="_blank" href="/api/publication?cond=citations.related;eq;31848911&sort=publishedYear,desc&sort=title"> Idézett közlemények száma: 1 </a> </div> <div class="mtid"><span class="long-pub-mtid">Közlemény: 31848911</span> | <span class="status-data status-APPROVED"> Nyilvános </span> <span class="long-book-mtid">Befoglaló: 31848912</span> Idéző | <span class="type-subtype">Könyvrészlet ( Konferenciaközlemény ) </span> | <span class="pub-category">Tudományos</span> | <span class="publication-sourceOfData">Scopus</span> </div> <div class="lastModified">Utolsó módosítás: 2021.02.04. 16:13 Sonnevend Kinga (SE_AOK_Élettan_Admin5_SK, admin) </div> <pre class="comment" style="margin-top: 0; margin-bottom: 0;"><u>Megjegyzés</u>: IEEE; IEEE Sensors Council Conference code: 165760 Export Date: 4 February 2021 IEEE; IEEE Sensors Council Conference code: 165760 Export Date: 8 February 2021</pre> </div> </div>