{"id":"https://openalex.org/W7129190485","doi":"https://doi.org/10.1109/icipw68931.2025.11386195","title":"Hierarchical Training Improves Consistency of Pollen Classification on the Family Level","display_name":"Hierarchical Training Improves Consistency of Pollen Classification on the Family Level","publication_year":2025,"publication_date":"2025-09-14","ids":{"openalex":"https://openalex.org/W7129190485","doi":"https://doi.org/10.1109/icipw68931.2025.11386195"},"language":"en","primary_location":{"id":"doi:10.1109/icipw68931.2025.11386195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icipw68931.2025.11386195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Image Processing Workshops (ICIPW)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5119399470","display_name":"Salih Numan B\u00fcy\u00fckba\u015f","orcid":null},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Salih Numan Buyukbas","raw_affiliation_strings":["Sabanci University,Faculty of Engineering and Natural Sciences (VPALab),Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sabanci University,Faculty of Engineering and Natural Sciences (VPALab),Turkiye","institution_ids":["https://openalex.org/I134235054"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067552640","display_name":"Veysel S\u00fczerer","orcid":"https://orcid.org/0000-0001-5383-4613"},"institutions":[{"id":"https://openalex.org/I147699246","display_name":"Bing\u00f6l University","ror":"https://ror.org/03hx84x94","country_code":"TR","type":"education","lineage":["https://openalex.org/I147699246"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Veysel Suzerer","raw_affiliation_strings":["Bingol University,Vocational School of Health Services,Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bingol University,Vocational School of Health Services,Turkiye","institution_ids":["https://openalex.org/I147699246"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077201345","display_name":"Mamatha Thota","orcid":"https://orcid.org/0000-0001-6553-4028"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mamatha Thota","raw_affiliation_strings":["Sabanci University,Faculty of Engineering and Natural Sciences (VPALab),Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sabanci University,Faculty of Engineering and Natural Sciences (VPALab),Turkiye","institution_ids":["https://openalex.org/I134235054"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066673451","display_name":"Petra Bosilj","orcid":"https://orcid.org/0000-0001-9640-9828"},"institutions":[{"id":"https://openalex.org/I51532219","display_name":"University of Lincoln","ror":"https://ror.org/03yeq9x20","country_code":"GB","type":"education","lineage":["https://openalex.org/I51532219"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Petra Bosilj","raw_affiliation_strings":["University of Lincoln,UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Lincoln,UK","institution_ids":["https://openalex.org/I51532219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026370111","display_name":"Erchan Aptoula","orcid":"https://orcid.org/0000-0001-6168-2883"},"institutions":[{"id":"https://openalex.org/I134235054","display_name":"Sabanc\u0131 \u00dcniversitesi","ror":"https://ror.org/049asqa32","country_code":"TR","type":"education","lineage":["https://openalex.org/I134235054"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Erchan Aptoula","raw_affiliation_strings":["Sabanci University,Faculty of Engineering and Natural Sciences (VPALab),Turkiye"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sabanci University,Faculty of Engineering and Natural Sciences (VPALab),Turkiye","institution_ids":["https://openalex.org/I134235054"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.78645833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"767","last_page":"771"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10877","display_name":"Allergic Rhinitis and Sensitization","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/2723","display_name":"Immunology and Allergy"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10877","display_name":"Allergic Rhinitis and Sensitization","score":0.9765999913215637,"subfield":{"id":"https://openalex.org/subfields/2723","display_name":"Immunology and Allergy"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11667","display_name":"Advanced Chemical Sensor Technologies","score":0.002300000051036477,"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/T11033","display_name":"Contact Dermatitis and Allergies","score":0.001500000013038516,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"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/classifier","display_name":"Classifier (UML)","score":0.6202999949455261},{"id":"https://openalex.org/keywords/pollen","display_name":"Pollen","score":0.5910000205039978},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5666000247001648},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5404999852180481},{"id":"https://openalex.org/keywords/taxonomy","display_name":"Taxonomy (biology)","score":0.48080000281333923},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.45210000872612},{"id":"https://openalex.org/keywords/hierarchy","display_name":"Hierarchy","score":0.43560001254081726},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.412200003862381}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7113000154495239},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6202999949455261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5934000015258789},{"id":"https://openalex.org/C2780618852","wikidata":"https://www.wikidata.org/wiki/Q79932","display_name":"Pollen","level":2,"score":0.5910000205039978},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5666000247001648},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5458999872207642},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5404999852180481},{"id":"https://openalex.org/C58642233","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Taxonomy (biology)","level":2,"score":0.48080000281333923},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.45210000872612},{"id":"https://openalex.org/C31170391","wikidata":"https://www.wikidata.org/wiki/Q188619","display_name":"Hierarchy","level":2,"score":0.43560001254081726},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.412200003862381},{"id":"https://openalex.org/C117978034","wikidata":"https://www.wikidata.org/wiki/Q5422192","display_name":"Extractor","level":2,"score":0.4020000100135803},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37599998712539673},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.36489999294281006},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.31869998574256897},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.2777999937534332},{"id":"https://openalex.org/C48702757","wikidata":"https://www.wikidata.org/wiki/Q8269924","display_name":"Biological classification","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.26910001039505005},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.26809999346733093},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.26269999146461487}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icipw68931.2025.11386195","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icipw68931.2025.11386195","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Image Processing Workshops (ICIPW)","raw_type":"proceedings-article"},{"id":"pmh:oai:cris.maastrichtuniversity.nl:openaire_cris_publications/79d84e64-b8e4-4aec-86ad-9318d9242f10","is_oa":false,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/79d84e64-b8e4-4aec-86ad-9318d9242f10","pdf_url":null,"source":{"id":"https://openalex.org/S4306402616","display_name":"Research Publications (Maastricht University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I34352273","host_organization_name":"Maastricht University","host_organization_lineage":["https://openalex.org/I34352273"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Buyukbas, S N, Suzerer, V, Thota, M, Bosilj, P, Aptoula, E & IEEE 2025, Hierarchical Training Improves Consistency Of Pollen Classification On The Family Level. in 2025 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING WORKSHOPS, ICIPW. IEEE, pp. 767-771, 2025 International Conference on Image Processing Workshops-ICIPW, Anchorage, Alaska, United States, 14/09/25. https://doi.org/10.1109/ICIPW68931.2025.11386195","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","display_name":"Life in Land","score":0.6156928539276123}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2416777518","https://openalex.org/W2890900069","https://openalex.org/W3045073967","https://openalex.org/W4317754010","https://openalex.org/W4387231952","https://openalex.org/W4392028727","https://openalex.org/W4396877766","https://openalex.org/W4404609608"],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"classification":[1,117,138],"of":[2,41,81,128],"pollen":[3,42,84],"grains":[4],"is":[5],"crucial":[6],"in":[7],"various":[8],"fields":[9],"such":[10],"as":[11],"biology,":[12],"medicine,":[13],"and":[14,60,68],"environmental":[15],"monitoring.":[16],"Even":[17],"though":[18],"deep":[19],"learning":[20],"methods":[21,75],"have":[22],"improved":[23],"performance":[24,118],"over":[25],"traditional":[26],"hand-crafted":[27],"approaches,":[28],"existing":[29],"models":[30],"often":[31],"do":[32],"not":[33],"take":[34],"into":[35,132],"account":[36],"the":[37,57,104,111,120,126],"taxonomic":[38],"hierarchy":[39],"information":[40],"species.":[43],"In":[44],"this":[45],"paper,":[46],"we":[47],"propose":[48],"a":[49,64,77],"hierarchical":[50,105],"training":[51,106,134],"framework":[52],"that":[53,103],"jointly":[54],"optimizes":[55],"at":[56,119],"family,":[58],"genus,":[59],"species":[61,121],"levels":[62],"using":[63,76,98],"shared":[65],"feature":[66],"extractor":[67],"parallel":[69],"classifier":[70],"heads.":[71],"We":[72],"evaluate":[73],"our":[74],"newly":[78],"created":[79],"dataset":[80],"1,787":[82],"microscopic":[83],"images":[85],"from":[86],"274":[87],"species,":[88],"belonging":[89],"to":[90],"145":[91],"genera,":[92],"or":[93],"47":[94],"families.":[95],"Experimental":[96],"results,":[97],"two":[99],"different":[100],"backbones,":[101],"demonstrate":[102],"setup":[107],"improves":[108],"consistency":[109],"on":[110],"family":[112],"level":[113],"while":[114],"maintaining":[115],"comparable":[116],"level.":[122],"These":[123],"findings":[124],"highlight":[125],"value":[127],"incorporating":[129],"biological":[130],"taxonomy":[131],"model":[133],"for":[135],"fine-grained":[136],"image":[137],"tasks.":[139]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-02-18T00:00:00"}
