{"id":"https://openalex.org/W4383219085","doi":"https://doi.org/10.1109/dsp58604.2023.10167943","title":"Heterogeneity-Stratified Bootstrap Oversampling for Training a Spoiled Food Detector","display_name":"Heterogeneity-Stratified Bootstrap Oversampling for Training a Spoiled Food Detector","publication_year":2023,"publication_date":"2023-06-11","ids":{"openalex":"https://openalex.org/W4383219085","doi":"https://doi.org/10.1109/dsp58604.2023.10167943"},"language":"en","primary_location":{"id":"doi:10.1109/dsp58604.2023.10167943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsp58604.2023.10167943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 24th International Conference on Digital Signal Processing (DSP)","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/A5111003996","display_name":"Pertami J. Kunz","orcid":null},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Pertami J. Kunz","raw_affiliation_strings":["Technische Universit&#x00E4;t Darmstadt,Graduate School Computational Engineering,Darmstadt,Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit&#x00E4;t Darmstadt,Graduate School Computational Engineering,Darmstadt,Germany","institution_ids":["https://openalex.org/I31512782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001328562","display_name":"Abdelhak M. Zoubir","orcid":"https://orcid.org/0000-0002-4409-7743"},"institutions":[{"id":"https://openalex.org/I31512782","display_name":"Technical University of Darmstadt","ror":"https://ror.org/05n911h24","country_code":"DE","type":"education","lineage":["https://openalex.org/I31512782"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Abdelhak M. Zoubir","raw_affiliation_strings":["Technische Universit&#x00E4;t Darmstadt,Signal Processing Group,Darmstadt,Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit&#x00E4;t Darmstadt,Signal Processing Group,Darmstadt,Germany","institution_ids":["https://openalex.org/I31512782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111003996"],"corresponding_institution_ids":["https://openalex.org/I31512782"],"apc_list":null,"apc_paid":null,"fwci":0.1124,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38874959,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.9952999949455261,"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":0.9952999949455261,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9929999709129333,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9817000031471252,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/oversampling","display_name":"Oversampling","score":0.9353384375572205},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.8482046127319336},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.7205096483230591},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5467802286148071},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5416576862335205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5415916442871094},{"id":"https://openalex.org/keywords/stratification","display_name":"Stratification (seeds)","score":0.5307300686836243},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4970288574695587},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4846268594264984},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.47478315234184265},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4720120131969452},{"id":"https://openalex.org/keywords/stratified-sampling","display_name":"Stratified sampling","score":0.4496059715747833},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4260207414627075},{"id":"https://openalex.org/keywords/bootstrap-aggregating","display_name":"Bootstrap aggregating","score":0.4221723973751068},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3900455832481384},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.14760708808898926},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09945714473724365},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.07594788074493408}],"concepts":[{"id":"https://openalex.org/C197323446","wikidata":"https://www.wikidata.org/wiki/Q331222","display_name":"Oversampling","level":3,"score":0.9353384375572205},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.8482046127319336},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.7205096483230591},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5467802286148071},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5416576862335205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5415916442871094},{"id":"https://openalex.org/C192943249","wikidata":"https://www.wikidata.org/wiki/Q1893382","display_name":"Stratification (seeds)","level":5,"score":0.5307300686836243},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4970288574695587},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4846268594264984},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.47478315234184265},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4720120131969452},{"id":"https://openalex.org/C49898467","wikidata":"https://www.wikidata.org/wiki/Q1517706","display_name":"Stratified sampling","level":2,"score":0.4496059715747833},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4260207414627075},{"id":"https://openalex.org/C162040801","wikidata":"https://www.wikidata.org/wiki/Q799897","display_name":"Bootstrap aggregating","level":2,"score":0.4221723973751068},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3900455832481384},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.14760708808898926},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09945714473724365},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.07594788074493408},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C100701293","wikidata":"https://www.wikidata.org/wiki/Q193838","display_name":"Germination","level":2,"score":0.0},{"id":"https://openalex.org/C3527866","wikidata":"https://www.wikidata.org/wiki/Q162267","display_name":"Dormancy","level":3,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C88548481","wikidata":"https://www.wikidata.org/wiki/Q2397491","display_name":"Seed dormancy","level":4,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/dsp58604.2023.10167943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsp58604.2023.10167943","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 24th International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:tubiblio.ulb.tu-darmstadt.de:138047","is_oa":false,"landing_page_url":"http://tubiblio.ulb.tu-darmstadt.de/138047/","pdf_url":null,"source":{"id":"https://openalex.org/S4377196390","display_name":"TUbilio (Technical University of Darmstadt)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I31512782","host_organization_name":"Technische Universit\u00e4t Darmstadt","host_organization_lineage":["https://openalex.org/I31512782"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Konferenzver\u00f6ffentlichung"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323384","display_name":"Technische Universit\u00e4t Darmstadt","ror":"https://ror.org/05n911h24"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W30651129","https://openalex.org/W142793689","https://openalex.org/W1567669715","https://openalex.org/W1965229818","https://openalex.org/W1966716734","https://openalex.org/W1997032551","https://openalex.org/W2001619934","https://openalex.org/W2037030821","https://openalex.org/W2118978333","https://openalex.org/W2120144520","https://openalex.org/W2148143831","https://openalex.org/W2618735189","https://openalex.org/W2787894218","https://openalex.org/W2800788706","https://openalex.org/W2954996726","https://openalex.org/W4242513671","https://openalex.org/W4250236131","https://openalex.org/W6605806949","https://openalex.org/W6610277394","https://openalex.org/W6680970901"],"related_works":["https://openalex.org/W3022501507","https://openalex.org/W4205824301","https://openalex.org/W3188632291","https://openalex.org/W2023639956","https://openalex.org/W3116557776","https://openalex.org/W2139161003","https://openalex.org/W2138743260","https://openalex.org/W2068765483","https://openalex.org/W2068365353","https://openalex.org/W1842073544"],"abstract_inverted_index":{"We":[0,23,44],"propose":[1],"the":[2,15,19,28,36,66],"Heterogeneity-Stratified":[3],"Bootstrap":[4],"(HSBoot),":[5],"a":[6,32,46,50],"stratification":[7],"method":[8],"that":[9],"gives":[10],"higher":[11],"resampling":[12],"probabilities":[13],"to":[14],"sample":[16],"points":[17],"in":[18,27,39,54],"less":[20],"homogeneous":[21],"regions.":[22],"demonstrate":[24],"its":[25],"advantage":[26],"case":[29,47],"of":[30,49,56],"training":[31],"detector":[33,53],"by":[34],"oversampling":[35],"under-represented":[37],"class":[38],"an":[40,57],"imbalanced":[41],"data":[42],"set.":[43],"took":[45],"study":[48],"spoiled":[51],"food":[52],"form":[55],"electronic":[58],"nose.":[59],"The":[60],"performance":[61],"metrics":[62],"were":[63],"calculated":[64],"on":[65,73],"out-of-bag":[67],"test":[68],"set":[69],"as":[70,72],"well":[71],"measurements":[74],"collected":[75],"from":[76],"another":[77],"sensor.":[78]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-02-26T08:16:20.718346","created_date":"2025-10-10T00:00:00"}
