{"id":"https://openalex.org/W4297686547","doi":"https://doi.org/10.1109/mmar55195.2022.9874318","title":"Improving the detection of noisy labels in image datasets using modified Confidence Learning","display_name":"Improving the detection of noisy labels in image datasets using modified Confidence Learning","publication_year":2022,"publication_date":"2022-08-22","ids":{"openalex":"https://openalex.org/W4297686547","doi":"https://doi.org/10.1109/mmar55195.2022.9874318"},"language":"en","primary_location":{"id":"doi:10.1109/mmar55195.2022.9874318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmar55195.2022.9874318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Methods and Models in Automation and Robotics (MMAR)","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/A5039143935","display_name":"Adam Popowicz","orcid":"https://orcid.org/0000-0003-3184-5228"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Adam Popowicz","raw_affiliation_strings":["Silesian University of Technology, Electronics and Computer Science,Faculty of Automatic Control,Gliwice,Poland","Faculty of Automatic Control, Silesian University of Technology, Electronics and Computer Science, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Silesian University of Technology, Electronics and Computer Science,Faculty of Automatic Control,Gliwice,Poland","institution_ids":["https://openalex.org/I119004910"]},{"raw_affiliation_string":"Faculty of Automatic Control, Silesian University of Technology, Electronics and Computer Science, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050970609","display_name":"Krystian Radlak","orcid":"https://orcid.org/0000-0003-1872-5651"},"institutions":[{"id":"https://openalex.org/I108403487","display_name":"Warsaw University of Technology","ror":"https://ror.org/00y0xnp53","country_code":"PL","type":"education","lineage":["https://openalex.org/I108403487"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Krystian Radlak","raw_affiliation_strings":["Warsaw University of Technology,Warsaw,Poland","Warsaw University of Technology, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Warsaw University of Technology,Warsaw,Poland","institution_ids":["https://openalex.org/I108403487"]},{"raw_affiliation_string":"Warsaw University of Technology, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017346911","display_name":"S\u0142awomir Lasota","orcid":"https://orcid.org/0000-0001-8179-7653"},"institutions":[{"id":"https://openalex.org/I119004910","display_name":"Silesian University of Technology","ror":"https://ror.org/02dyjk442","country_code":"PL","type":"education","lineage":["https://openalex.org/I119004910"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Slawomir Lasota","raw_affiliation_strings":["Silesian University of Technology, Electronics and Computer Science,Faculty of Automatic Control,Gliwice,Poland","Faculty of Automatic Control, Silesian University of Technology, Electronics and Computer Science, Gliwice, Poland"],"affiliations":[{"raw_affiliation_string":"Silesian University of Technology, Electronics and Computer Science,Faculty of Automatic Control,Gliwice,Poland","institution_ids":["https://openalex.org/I119004910"]},{"raw_affiliation_string":"Faculty of Automatic Control, Silesian University of Technology, Electronics and Computer Science, Gliwice, Poland","institution_ids":["https://openalex.org/I119004910"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057708091","display_name":"Karolina Szczepankiewicz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Karolina Szczepankiewicz","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5073959967","display_name":"Micha\u0142 Szczepankiewicz","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michal Szczepankiewicz","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039143935"],"corresponding_institution_ids":["https://openalex.org/I119004910"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09844924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"158","last_page":"163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9994000196456909,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9947999715805054,"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/computer-science","display_name":"Computer science","score":0.8209887742996216},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.7514358758926392},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.7418166399002075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6769222021102905},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.651877224445343},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5974404811859131},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5739874243736267},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5598512887954712},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.495688796043396},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.48004090785980225},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.44966283440589905},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4342173933982849},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42917516827583313},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4088084101676941},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3685881495475769}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8209887742996216},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.7514358758926392},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.7418166399002075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6769222021102905},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.651877224445343},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5974404811859131},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5739874243736267},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5598512887954712},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.495688796043396},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.48004090785980225},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.44966283440589905},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4342173933982849},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42917516827583313},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4088084101676941},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3685881495475769},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mmar55195.2022.9874318","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmar55195.2022.9874318","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 26th International Conference on Methods and Models in Automation and Robotics (MMAR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4007658716","display_name":null,"funder_award_id":"LIDER/51/0221/L-11/19/NCBR/2020","funder_id":"https://openalex.org/F4320335039","funder_display_name":"Narodowe Centrum Bada\u0144 i Rozwoju"},{"id":"https://openalex.org/G6099046210","display_name":null,"funder_award_id":"BK-246/RAu-11/2022","funder_id":"https://openalex.org/F4320320259","funder_display_name":"Society for Underwater Technology"}],"funders":[{"id":"https://openalex.org/F4320320259","display_name":"Society for Underwater Technology","ror":"https://ror.org/02bn4n710"},{"id":"https://openalex.org/F4320335039","display_name":"Narodowe Centrum Bada\u0144 i Rozwoju","ror":"https://ror.org/05pwfyy15"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1994616650","https://openalex.org/W2067713319","https://openalex.org/W2121056381","https://openalex.org/W2302255633","https://openalex.org/W2549139847","https://openalex.org/W2752971446","https://openalex.org/W2765407302","https://openalex.org/W2885593519","https://openalex.org/W2951863938","https://openalex.org/W2962843773","https://openalex.org/W2963163009","https://openalex.org/W2963323244","https://openalex.org/W2963703197","https://openalex.org/W2963735582","https://openalex.org/W2981873476","https://openalex.org/W3034429256","https://openalex.org/W3156669901","https://openalex.org/W4287252712","https://openalex.org/W4288334884","https://openalex.org/W6637373629","https://openalex.org/W6678280073","https://openalex.org/W6740164494","https://openalex.org/W6743885473","https://openalex.org/W6745136726","https://openalex.org/W6751647823","https://openalex.org/W6753772092","https://openalex.org/W6762563763","https://openalex.org/W6763753201","https://openalex.org/W6793012311"],"related_works":["https://openalex.org/W1557094818","https://openalex.org/W2183246718","https://openalex.org/W2099261052","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W2888956734","https://openalex.org/W4315865067","https://openalex.org/W2979433843","https://openalex.org/W3208304128","https://openalex.org/W3000197790"],"abstract_inverted_index":{"The":[0,123],"effectiveness":[1,87],"of":[2,19,69,112,127],"machine":[3],"learning":[4],"algorithms,":[5],"including":[6],"deep":[7],"neural":[8],"networks":[9],"(DNN)":[10],"for":[11,66,129],"classifying":[12],"image":[13,71,138],"data,":[14],"depends":[15],"on":[16],"proper":[17],"preparation":[18],"the":[20,27,46,86,97,110,117],"training":[21,28],"dataset.":[22],"Erroneously":[23],"labeled":[24,70],"images":[25],"in":[26,45],"data":[29],"will":[30],"degrade":[31],"algorithmic":[32],"efficiency":[33],"and":[34,53,84,131],"cause":[35],"unpredictable":[36],"model":[37],"behavior,":[38],"thus":[39,115],"reduce":[40],"its":[41,82],"safety.":[42],"Verifying":[43],"labels":[44,107],"numerous":[47],"available":[48],"databases":[49],"remains":[50],"a":[51,61,75],"complicated":[52],"laborious":[54],"task.":[55],"In":[56],"this":[57],"article,":[58],"we":[59],"present":[60],"MultiNET":[62],"approach":[63],"that":[64],"allows":[65],"efficient":[67],"verification":[68,118],"datasets.":[72,139],"We":[73],"adapt":[74],"state-of-the-art":[76],"technique,":[77],"namely":[78],"Confidence":[79],"Learning,":[80],"extending":[81],"flexibility":[83],"improving":[85],"by":[88],"combining":[89],"outcomes":[90],"from":[91],"various":[92],"DNN":[93],"architectures.":[94],"Thanks":[95],"to":[96,103],"proposed":[98],"modification,":[99],"it":[100],"is":[101],"possible":[102],"automatically":[104],"detect":[105],"incorrect":[106],"while":[108],"minimizing":[109],"number":[111],"false":[113],"positives,":[114],"making":[116],"process":[119],"much":[120],"less":[121],"burdensome.":[122],"technique":[124],"may":[125],"be":[126],"use":[128],"researchers":[130],"software":[132],"engineers":[133],"dealing":[134],"with":[135],"externally":[136],"supplied":[137]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}