{"id":"https://openalex.org/W2902770320","doi":"https://doi.org/10.29007/p655","title":"Classifier-Based Evaluation of Image Feature Importance","display_name":"Classifier-Based Evaluation of Image Feature Importance","publication_year":2018,"publication_date":"2018-09-17","ids":{"openalex":"https://openalex.org/W2902770320","doi":"https://doi.org/10.29007/p655","mag":"2902770320"},"language":"en","primary_location":{"id":"doi:10.29007/p655","is_oa":true,"landing_page_url":"https://doi.org/10.29007/p655","pdf_url":"https://easychair.org/publications/open/B2h4","source":{"id":"https://openalex.org/S4220651395","display_name":"EPiC series in computing","issn_l":"2398-7340","issn":["2398-7340"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPiC Series in Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://easychair.org/publications/open/B2h4","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047309295","display_name":"Sai P. Selvaraj","orcid":"https://orcid.org/0000-0003-2934-6147"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sai Prabhakar Pandi Selvaraj","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057963205","display_name":"Manuela Veloso","orcid":"https://orcid.org/0000-0002-1995-095X"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Manuela Veloso","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086237721","display_name":"Stephanie Rosenthal","orcid":"https://orcid.org/0000-0002-7583-4590"},"institutions":[{"id":"https://openalex.org/I5337786","display_name":"Chatham University","ror":"https://ror.org/05n2dnq32","country_code":"US","type":"education","lineage":["https://openalex.org/I5337786"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Stephanie Rosenthal","raw_affiliation_strings":["Chatham University, Pittsburgh, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chatham University, Pittsburgh, USA","institution_ids":["https://openalex.org/I5337786"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5086237721"],"corresponding_institution_ids":["https://openalex.org/I5337786"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.1422628,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"55","issue":null,"first_page":"162","last_page":"147"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9976000189781189,"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":0.9976000189781189,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9911999702453613,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7896056175231934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7759491801261902},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7651029825210571},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7270525097846985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6860994100570679},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.6085433959960938},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5954107642173767},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5114930868148804},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4745781421661377},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4321076273918152},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.41041749715805054},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3976302444934845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3765532672405243}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7896056175231934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7759491801261902},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7651029825210571},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7270525097846985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6860994100570679},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.6085433959960938},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5954107642173767},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5114930868148804},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4745781421661377},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4321076273918152},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.41041749715805054},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3976302444934845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3765532672405243},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.29007/p655","is_oa":true,"landing_page_url":"https://doi.org/10.29007/p655","pdf_url":"https://easychair.org/publications/open/B2h4","source":{"id":"https://openalex.org/S4220651395","display_name":"EPiC series in computing","issn_l":"2398-7340","issn":["2398-7340"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPiC Series in Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.29007/p655","is_oa":true,"landing_page_url":"https://doi.org/10.29007/p655","pdf_url":"https://easychair.org/publications/open/B2h4","source":{"id":"https://openalex.org/S4220651395","display_name":"EPiC series in computing","issn_l":"2398-7340","issn":["2398-7340"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EPiC Series in Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2902770320.pdf","grobid_xml":"https://content.openalex.org/works/W2902770320.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W1825675169","https://openalex.org/W1849277567","https://openalex.org/W2089597841","https://openalex.org/W2127589108","https://openalex.org/W2134670479","https://openalex.org/W2137161909","https://openalex.org/W2144172034","https://openalex.org/W2158413235","https://openalex.org/W2163605009","https://openalex.org/W2169393322","https://openalex.org/W2171590421","https://openalex.org/W2240067561","https://openalex.org/W2503388974","https://openalex.org/W2530010084","https://openalex.org/W2531044305","https://openalex.org/W2739510858","https://openalex.org/W2911964244","https://openalex.org/W2962851944","https://openalex.org/W2963733622","https://openalex.org/W3091905774","https://openalex.org/W3098711604","https://openalex.org/W4298137879","https://openalex.org/W6697905468","https://openalex.org/W6724569667","https://openalex.org/W6728697212"],"related_works":["https://openalex.org/W3135697610","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W2922442631","https://openalex.org/W4390494008","https://openalex.org/W2005234362","https://openalex.org/W1997235926","https://openalex.org/W2565656575"],"abstract_inverted_index":{"Significant":[0],"advances":[1],"in":[2,142],"the":[3,47,65,69,73,78,88,96,108,115,125,135,139,146,174],"performance":[4],"of":[5,98,110,138,159],"deep":[6],"neural":[7],"networks,":[8],"such":[9],"as":[10],"Convolutional":[11],"Neural":[12],"Networks":[13],"(CNNs)":[14],"for":[15,22,42,90],"image":[16,37,117,122],"classification,":[17],"have":[18,29,54,183],"created":[19],"a":[20,43,60,111,184],"drive":[21],"understanding":[23],"how":[24],"they":[25],"work.":[26],"Different":[27],"techniques":[28,53,179],"been":[30,56],"proposed":[31],"to":[32,62,72,83,94,120,144],"determine":[33],"which":[34,177],"features":[35,49,67,70,79,175,191],"(e.g.,":[36],"pixels)":[38],"are":[39,181],"most":[40],"important":[41,48,66,82,126,140,160,182],"CNN\u2019s":[44,112],"classification.":[45],"However,":[46],"output":[50],"by":[51,59,134],"these":[52],"typically":[55],"judged":[57],"subjectively":[58],"human":[61,168],"assess":[63,95],"whether":[64,77],"capture":[68],"relevant":[71],"classification":[74],"and":[75],"not":[76,165],"were":[80],"actually":[81],"classifier":[84],"itself.":[85],"We":[86,128,148,170],"address":[87],"need":[89],"an":[91,121],"objective":[92],"measure":[93,145],"quality":[97],"different":[99],"feature":[100],"importance":[101],"measures.":[102],"In":[103],"particular,":[104],"we":[105],"propose":[106],"measuring":[107],"ratio":[109,133],"accuracy":[113,188],"on":[114,176,187],"whole":[116],"com-":[118],"pared":[119],"containing":[123],"only":[124,193],"features.":[127],"also":[129,171],"consider":[130],"scaling":[131],"this":[132],"relative":[136],"size":[137],"region":[141],"order":[143],"conciseness.":[147],"demonstrate":[149,172],"that":[150,173,192],"our":[151],"measures":[152],"correlate":[153],"well":[154],"with":[155],"prior":[156],"subjective":[157],"comparisons":[158],"features,":[161],"but":[162],"importantly":[163],"do":[164],"require":[166],"their":[167],"studies.":[169],"multiple":[178],"agree":[180],"higher":[185],"impact":[186],"than":[189],"those":[190],"one":[194],"technique":[195],"finds.":[196]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
