{"id":"https://openalex.org/W3212121750","doi":"https://doi.org/10.1007/s10994-022-06204-w","title":"LIMEcraft: handcrafted superpixel selection and inspection for Visual eXplanations","display_name":"LIMEcraft: handcrafted superpixel selection and inspection for Visual eXplanations","publication_year":2022,"publication_date":"2022-07-14","ids":{"openalex":"https://openalex.org/W3212121750","doi":"https://doi.org/10.1007/s10994-022-06204-w","mag":"3212121750"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-022-06204-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06204-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06204-w.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06204-w.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040649166","display_name":"Weronika Hryniewska-Guzik","orcid":"https://orcid.org/0000-0003-2903-6050"},"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":true,"raw_author_name":"Weronika Hryniewska","raw_affiliation_strings":["Faculty of Mathematics and Information Science, Warsaw University of Technology, Koszykowa 75, 00-662, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Information Science, Warsaw University of Technology, Koszykowa 75, 00-662, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001944481","display_name":"Adrianna Grudzie\u0144","orcid":null},"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":"Adrianna Grudzie\u0144","raw_affiliation_strings":["Faculty of Mathematics and Information Science, Warsaw University of Technology, Koszykowa 75, 00-662, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Information Science, Warsaw University of Technology, Koszykowa 75, 00-662, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049061860","display_name":"Przemys\u0142aw Biecek","orcid":"https://orcid.org/0000-0001-8423-1823"},"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"]},{"id":"https://openalex.org/I4654613","display_name":"University of Warsaw","ror":"https://ror.org/039bjqg32","country_code":"PL","type":"education","lineage":["https://openalex.org/I4654613"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Przemys\u0142aw Biecek","raw_affiliation_strings":["Faculty of Mathematics and Information Science, Warsaw University of Technology, Koszykowa 75, 00-662, Warsaw, Poland","Faculty of Mathematics, Informatics and Mechanics, University\u00a0of Warsaw, Banacha 2, 02-097, Warsaw, Poland"],"affiliations":[{"raw_affiliation_string":"Faculty of Mathematics and Information Science, Warsaw University of Technology, Koszykowa 75, 00-662, Warsaw, Poland","institution_ids":["https://openalex.org/I108403487"]},{"raw_affiliation_string":"Faculty of Mathematics, Informatics and Mechanics, University\u00a0of Warsaw, Banacha 2, 02-097, Warsaw, Poland","institution_ids":["https://openalex.org/I4654613"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040649166"],"corresponding_institution_ids":["https://openalex.org/I108403487"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.104,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8052802,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"113","issue":"5","first_page":"3143","last_page":"3160"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9994999766349792,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9994999766349792,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.998199999332428,"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":0.9769999980926514,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7783776521682739},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6584391593933105},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6522736549377441},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.6035168170928955},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5855256915092468},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5673978328704834},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5276390910148621},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4830525517463684},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.46619242429733276},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.4246402978897095},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09873548150062561},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.06905251741409302}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7783776521682739},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6584391593933105},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6522736549377441},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.6035168170928955},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5855256915092468},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5673978328704834},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5276390910148621},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4830525517463684},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.46619242429733276},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.4246402978897095},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09873548150062561},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.06905251741409302},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10994-022-06204-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06204-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06204-w.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2111.08094","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.08094","pdf_url":"https://arxiv.org/pdf/2111.08094","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1007/s10994-022-06204-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06204-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06204-w.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8399865403","display_name":null,"funder_award_id":"2019/34/E/ST6/00052","funder_id":"https://openalex.org/F4320322511","funder_display_name":"Narodowe Centrum Nauki"},{"id":"https://openalex.org/G8639028716","display_name":null,"funder_award_id":"2019/34/E/ST6/00052","funder_id":"https://openalex.org/F4320322650","funder_display_name":"Narodowym Centrum Nauki"}],"funders":[{"id":"https://openalex.org/F4320322511","display_name":"Narodowe Centrum Nauki","ror":"https://ror.org/03ha2q922"},{"id":"https://openalex.org/F4320322637","display_name":"Politechnika Warszawska","ror":"https://ror.org/00y0xnp53"},{"id":"https://openalex.org/F4320322650","display_name":"Narodowym Centrum Nauki","ror":"https://ror.org/03ha2q922"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3212121750.pdf","grobid_xml":"https://content.openalex.org/works/W3212121750.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1508404128","https://openalex.org/W1849277567","https://openalex.org/W2516809705","https://openalex.org/W2590082389","https://openalex.org/W2606462007","https://openalex.org/W2616247523","https://openalex.org/W2737411481","https://openalex.org/W2765793020","https://openalex.org/W2788403449","https://openalex.org/W2806087506","https://openalex.org/W2809136100","https://openalex.org/W2895067291","https://openalex.org/W2949036243","https://openalex.org/W2955782190","https://openalex.org/W2962954781","https://openalex.org/W2972638721","https://openalex.org/W2976041489","https://openalex.org/W2978740895","https://openalex.org/W2982471395","https://openalex.org/W2984635074","https://openalex.org/W2995729789","https://openalex.org/W3000120900","https://openalex.org/W3000716014","https://openalex.org/W3005086430","https://openalex.org/W3006141194","https://openalex.org/W3013276880","https://openalex.org/W3013915828","https://openalex.org/W3043289678","https://openalex.org/W3101609372","https://openalex.org/W3102564565","https://openalex.org/W3103569422","https://openalex.org/W3164582999","https://openalex.org/W3175020672","https://openalex.org/W3200416042","https://openalex.org/W6744991969","https://openalex.org/W6752948792","https://openalex.org/W6769530699"],"related_works":["https://openalex.org/W2088836968","https://openalex.org/W2369480852","https://openalex.org/W2360473631","https://openalex.org/W2897855253","https://openalex.org/W2313927466","https://openalex.org/W2352901769","https://openalex.org/W2743004639","https://openalex.org/W2318277440","https://openalex.org/W4312518048","https://openalex.org/W2996769815"],"abstract_inverted_index":{"Abstract":[0],"The":[1,58,87,181],"increased":[2],"interest":[3],"in":[4,13,49,152],"deep":[5],"learning":[6],"applications,":[7],"and":[8,18,38,71,115,122,143],"their":[9],"hard-to-detect":[10],"biases":[11],"result":[12],"the":[14,32,35,47,50,75,85,92,101,105,111,129,146,149],"need":[15],"to":[16,62,69,137],"validate":[17],"explain":[19],"complex":[20],"models.":[21],"However,":[22],"current":[23],"explanation":[24,33,132],"methods":[25],"are":[26,41],"limited":[27],"as":[28,30],"far":[29],"both":[31],"of":[34,60,104,113,131,154],"reasoning":[36],"process":[37,124,130],"prediction":[39,147],"results":[40],"concerned.":[42],"They":[43],"usually":[44],"only":[45],"show":[46,162],"location":[48],"image":[51,150,156,174],"that":[52,94,163,176],"was":[53],"important":[54],"for":[55,148,173],"model":[56,76,167,171,179],"prediction.":[57],"lack":[59],"possibility":[61],"interact":[63],"with":[64],"explanations":[65,95],"makes":[66],"it":[67],"difficult":[68],"verify":[70],"understand":[72],"exactly":[73],"how":[74],"works.":[77],"This":[78],"creates":[79],"a":[80,120,123,135],"significant":[81],"risk":[82,88],"when":[83],"using":[84],"model.":[86],"is":[89,183],"compounded":[90],"by":[91,133,169],"fact":[93],"do":[96],"not":[97],"take":[98],"into":[99],"account":[100],"semantic":[102],"meaning":[103],"explained":[106],"objects.":[107],"To":[108],"escape":[109],"from":[110],"trap":[112],"static":[114],"meaningless":[116],"explanations,":[117],"we":[118],"propose":[119],"tool":[121,165],"called":[125],"LIMEcraft.":[126],"LIMEcraft":[127],"enhances":[128],"allowing":[134],"user":[136],"interactively":[138],"select":[139],"semantically":[140],"consistent":[141],"areas":[142],"thoroughly":[144],"examine":[145],"instance":[151],"case":[153],"many":[155],"features.":[157],"Experiments":[158],"on":[159],"several":[160],"models":[161],"our":[164],"improves":[166],"safety":[168],"inspecting":[170],"fairness":[172],"pieces":[175],"may":[177],"indicate":[178],"bias.":[180],"code":[182],"available":[184],"at:":[185],"http://github.com/MI2DataLab/LIMEcraft":[186],".":[187]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
