{"id":"https://openalex.org/W3015746562","doi":"https://doi.org/10.1109/icassp40776.2020.9053918","title":"Weight Sharing and Deep Learning for Spectral Data","display_name":"Weight Sharing and Deep Learning for Spectral Data","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015746562","doi":"https://doi.org/10.1109/icassp40776.2020.9053918","mag":"3015746562"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5101630756","display_name":"Jacob S\u00f8gaard Larsen","orcid":"https://orcid.org/0000-0001-6123-8598"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Jacob Sogaard Larsen","raw_affiliation_strings":["Department of Applied Mathematics and Computer Science, Technical University of Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Computer Science, Technical University of Denmark","institution_ids":["https://openalex.org/I96673099"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011062522","display_name":"Line Katrine Harder Clemmensen","orcid":"https://orcid.org/0000-0001-5527-5798"},"institutions":[{"id":"https://openalex.org/I96673099","display_name":"Technical University of Denmark","ror":"https://ror.org/04qtj9h94","country_code":"DK","type":"education","lineage":["https://openalex.org/I96673099"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Line Clemmensen","raw_affiliation_strings":["Department of Applied Mathematics and Computer Science, Technical University of Denmark"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Applied Mathematics and Computer Science, Technical University of Denmark","institution_ids":["https://openalex.org/I96673099"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0038,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.69987849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"4227","last_page":"4231"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9988999962806702,"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"}},"topics":[{"id":"https://openalex.org/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9988999962806702,"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/T10836","display_name":"Metabolomics and Mass Spectrometry Studies","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.989300012588501,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/chemometrics","display_name":"Chemometrics","score":0.7408653497695923},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7384637594223022},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6922001838684082},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6454874873161316},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5944404602050781},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5797598958015442},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5700517892837524},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5506207942962646},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5434028506278992},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4820635914802551},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4274606704711914},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4028329849243164},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3950656056404114},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3268660306930542},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.07363677024841309}],"concepts":[{"id":"https://openalex.org/C151304367","wikidata":"https://www.wikidata.org/wiki/Q910067","display_name":"Chemometrics","level":2,"score":0.7408653497695923},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7384637594223022},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6922001838684082},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6454874873161316},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5944404602050781},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5797598958015442},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5700517892837524},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5506207942962646},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5434028506278992},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4820635914802551},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4274606704711914},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4028329849243164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3950656056404114},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3268660306930542},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.07363677024841309},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053918","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053918","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/ebce48f0-dc48-4030-b036-0eaf5aa4ea96","is_oa":false,"landing_page_url":"https://orbit.dtu.dk/en/publications/ebce48f0-dc48-4030-b036-0eaf5aa4ea96","pdf_url":null,"source":{"id":"https://openalex.org/S4306400705","display_name":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I96673099","host_organization_name":"Technical University of Denmark","host_organization_lineage":["https://openalex.org/I96673099"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Larsen , J S & Clemmensen , L 2020 , Weight Sharing and Deep Learning for Spectral Data . in Proceedings of 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing . , 9053918 , IEEE , ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings , vol. 2020-May , pp. 4227-4231 , 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing , Barcelona , Spain , 04/05/2020 . https://doi.org/10.1109/ICASSP40776.2020.9053918","raw_type":"contributionToPeriodical"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1492383498","https://openalex.org/W1522301498","https://openalex.org/W1974758710","https://openalex.org/W1992259099","https://openalex.org/W1999798000","https://openalex.org/W2000950277","https://openalex.org/W2126486632","https://openalex.org/W2295582178","https://openalex.org/W2327959768","https://openalex.org/W2546302380","https://openalex.org/W2592691248","https://openalex.org/W2616180702","https://openalex.org/W2619368999","https://openalex.org/W2752532133","https://openalex.org/W2762818368","https://openalex.org/W2883273084","https://openalex.org/W2891747104","https://openalex.org/W2908659686","https://openalex.org/W2912154463","https://openalex.org/W2919115771","https://openalex.org/W2946791964","https://openalex.org/W2953070460","https://openalex.org/W2963712897","https://openalex.org/W2979195552","https://openalex.org/W6631190155","https://openalex.org/W6697274609","https://openalex.org/W6733814495","https://openalex.org/W6738277540","https://openalex.org/W6745213946","https://openalex.org/W6768620042"],"related_works":["https://openalex.org/W2043468524","https://openalex.org/W2360864709","https://openalex.org/W3183901164","https://openalex.org/W2951211570","https://openalex.org/W3135818718","https://openalex.org/W4290188444","https://openalex.org/W2253429366","https://openalex.org/W3127975138","https://openalex.org/W3185156046","https://openalex.org/W3171384686"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,60],"novel":[3],"method":[4],"to":[5],"co-train":[6],"deep":[7],"convolutional":[8],"neural":[9],"networks":[10],"for":[11,33,53],"data":[12,56,63],"sets":[13,57],"of":[14],"differing":[15],"position":[16],"specific":[17],"data.":[18],"This":[19],"is":[20],"an":[21],"advantage":[22],"in":[23],"chemometrics":[24],"where":[25],"individual":[26],"measurements":[27],"represent":[28],"exact":[29],"chemical":[30],"compounds,":[31],"e.g.":[32],"given":[34],"wavelengths,":[35],"and":[36],"thus":[37],"signals":[38],"cannot":[39],"be":[40],"translated":[41],"or":[42],"resized":[43],"without":[44],"disturbing":[45],"their":[46],"interpretation.":[47],"Our":[48],"approach":[49],"outperforms":[50],"transfer":[51],"learning":[52],"three":[54],"small":[55],"co-trained":[58],"with":[59],"medium":[61],"sized":[62],"set.":[64]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}