{"id":"https://openalex.org/W4367333861","doi":"https://doi.org/10.1515/jisys-2022-0212","title":"A multiorder feature tracking and explanation strategy for explainable deep learning","display_name":"A multiorder feature tracking and explanation strategy for explainable deep learning","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4367333861","doi":"https://doi.org/10.1515/jisys-2022-0212"},"language":"en","primary_location":{"id":"doi:10.1515/jisys-2022-0212","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2022-0212","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2022-0212/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2022-0212/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055442726","display_name":"Lin Zheng","orcid":"https://orcid.org/0000-0002-1376-075X"},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lin Zheng","raw_affiliation_strings":["Department of Computer Science, College of Engineering, Shantou University , Shantou 515063 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Engineering, Shantou University , Shantou 515063 , China","institution_ids":["https://openalex.org/I32574673"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100314961","display_name":"Yixuan Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I32574673","display_name":"Shantou University","ror":"https://ror.org/01a099706","country_code":"CN","type":"education","lineage":["https://openalex.org/I32574673"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixuan Lin","raw_affiliation_strings":["Department of Computer Science, College of Engineering, Shantou University , Shantou 515063 , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, College of Engineering, Shantou University , Shantou 515063 , China","institution_ids":["https://openalex.org/I32574673"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5055442726"],"corresponding_institution_ids":["https://openalex.org/I32574673"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03887823,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9995999932289124,"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":0.9995999932289124,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.993399977684021,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9847999811172485,"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/interpretability","display_name":"Interpretability","score":0.952068567276001},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7707321643829346},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7486194372177124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7304348349571228},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6590051651000977},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6036069393157959},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5960942506790161},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.55772864818573},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5023064613342285},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.41508522629737854},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.41025710105895996},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14324259757995605}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.952068567276001},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7707321643829346},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7486194372177124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7304348349571228},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6590051651000977},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6036069393157959},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5960942506790161},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.55772864818573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5023064613342285},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.41508522629737854},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.41025710105895996},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14324259757995605},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1515/jisys-2022-0212","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2022-0212","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2022-0212/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fad9a38f70d44fe183931c88823ffd4f","is_oa":true,"landing_page_url":"https://doaj.org/article/fad9a38f70d44fe183931c88823ffd4f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Intelligent Systems, Vol 32, Iss 1, Pp 1-18 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/jisys-2022-0212","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2022-0212","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2022-0212/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G6416822942","display_name":null,"funder_award_id":"2023A1515011240","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G7173709229","display_name":null,"funder_award_id":"61902231","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4367333861.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1678356000","https://openalex.org/W1771625187","https://openalex.org/W1787224781","https://openalex.org/W1981276685","https://openalex.org/W2076618162","https://openalex.org/W2094286023","https://openalex.org/W2100281923","https://openalex.org/W2130486630","https://openalex.org/W2295598076","https://openalex.org/W2522925973","https://openalex.org/W2565948352","https://openalex.org/W2618577670","https://openalex.org/W2618851150","https://openalex.org/W2787070805","https://openalex.org/W2788730650","https://openalex.org/W2797800832","https://openalex.org/W2810818231","https://openalex.org/W2899125947","https://openalex.org/W2962772482","https://openalex.org/W2962936809","https://openalex.org/W2963323306","https://openalex.org/W2964052347","https://openalex.org/W2999615587","https://openalex.org/W3029534136","https://openalex.org/W3035264434","https://openalex.org/W3035658380","https://openalex.org/W3105959310","https://openalex.org/W3114803911","https://openalex.org/W3127806572","https://openalex.org/W3138819813","https://openalex.org/W3153976306","https://openalex.org/W3174086521","https://openalex.org/W3215854402","https://openalex.org/W4226250547","https://openalex.org/W4243796177","https://openalex.org/W6775753421"],"related_works":["https://openalex.org/W2797441709","https://openalex.org/W2943982549","https://openalex.org/W2886918272","https://openalex.org/W4387589990","https://openalex.org/W4297660007","https://openalex.org/W2346578521","https://openalex.org/W2910028250","https://openalex.org/W4241566321","https://openalex.org/W3101055019","https://openalex.org/W3094353829"],"abstract_inverted_index":{"Abstract":[0],"A":[1],"good":[2],"AI":[3],"algorithm":[4],"can":[5,98,124,184],"make":[6],"accurate":[7],"predictions":[8],"and":[9,53,132,176],"provide":[10,147],"reasonable":[11],"explanations":[12],"for":[13,62,152],"the":[14,22,28,33,83,111,127,137,164],"field":[15],"in":[16,49,73,169],"which":[17],"it":[18,59],"is":[19,60],"applied.":[20],"However,":[21],"application":[23,51,173],"of":[24,35,37,86,114,129,166],"deep":[25,64,87,96,133,156],"models":[26],"makes":[27],"black":[29],"box":[30],"problem,":[31],"i.e.,":[32],"lack":[34],"interpretability":[36,112],"a":[38,63,92,119,142,148,153],"model,":[39],"more":[40],"prominent.":[41],"In":[42,158],"particular,":[43],"when":[44],"there":[45],"are":[46,79],"multiple":[47],"features":[48,128,190],"an":[50],"domain":[52],"complex":[54,187],"interactions":[55,78],"between":[56,189],"these":[57],"features,":[58],"difficult":[61],"model":[65,97,183],"to":[66,104,146],"intuitively":[67,185],"explain":[68,105],"its":[69,106],"prediction":[70,107],"results.":[71,108],"Moreover,":[72],"practical":[74],"applications,":[75],"multiorder":[76,93,143,150,193],"feature":[77,120],"ubiquitous.":[80],"To":[81],"break":[82],"interpretation":[84],"limitations":[85],"models,":[88,116],"we":[89,117,140,160],"argue":[90],"that":[91,123,181],"linearly":[94,154],"separable":[95,155],"be":[99],"divided":[100],"into":[101],"different":[102],"orders":[103],"Inspired":[109],"by":[110],"advantage":[113],"tree":[115],"design":[118],"representation":[121],"mechanism":[122],"consistently":[125],"represent":[126,186],"both":[130],"trees":[131],"models.":[134],"Based":[135],"on":[136],"consistent":[138],"representation,":[139],"propose":[141],"feature-tracking":[144],"strategy":[145],"prediction-oriented":[149],"explanation":[151],"model.":[157],"experiments,":[159],"have":[161],"empirically":[162],"verified":[163],"effectiveness":[165],"our":[167,182],"approach":[168],"two":[170],"binary":[171],"classification":[172],"scenarios:":[174],"education":[175],"marketing.":[177],"Experimental":[178],"results":[179],"show":[180],"relationships":[188],"through":[191],"diversified":[192],"explanations.":[194]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}