{"id":"https://openalex.org/W3094179039","doi":"https://doi.org/10.1145/3340531.3417456","title":"ALEX: Active Learning based Enhancement of a Classification Model's EXplainability","display_name":"ALEX: Active Learning based Enhancement of a Classification Model's EXplainability","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3094179039","doi":"https://doi.org/10.1145/3340531.3417456","mag":"3094179039"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3417456","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3417456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management","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/A5002257824","display_name":"Ishani Mondal","orcid":null},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ishani Mondal","raw_affiliation_strings":["Indian Institute of Technology Kharagpur, Kolkata, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Kharagpur, Kolkata, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082339849","display_name":"Debasis Ganguly","orcid":"https://orcid.org/0000-0003-0050-7138"},"institutions":[{"id":"https://openalex.org/I4210145784","display_name":"IBM Research - Ireland","ror":"https://ror.org/04jnxr720","country_code":"IE","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210114115","https://openalex.org/I4210145784"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Debasis Ganguly","raw_affiliation_strings":["IBM Research Europe, Dublin, Ireland"],"affiliations":[{"raw_affiliation_string":"IBM Research Europe, Dublin, Ireland","institution_ids":["https://openalex.org/I4210145784"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002257824"],"corresponding_institution_ids":["https://openalex.org/I145894827"],"apc_list":null,"apc_paid":null,"fwci":0.5302,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.73328085,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3309","last_page":"3312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9998999834060669,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9998999834060669,"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":0.9972000122070312,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9803000092506409,"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":0.8630502223968506},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.7429278492927551},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7056230306625366},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6906173825263977},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6725016236305237},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6682932376861572},{"id":"https://openalex.org/keywords/bootstrapping","display_name":"Bootstrapping (finance)","score":0.6462298035621643},{"id":"https://openalex.org/keywords/model-selection","display_name":"Model selection","score":0.4567885994911194},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.4431461691856384},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.42526721954345703},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14259707927703857}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8630502223968506},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.7429278492927551},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7056230306625366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6906173825263977},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6725016236305237},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6682932376861572},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.6462298035621643},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.4567885994911194},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.4431461691856384},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.42526721954345703},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14259707927703857},{"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/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3340531.3417456","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3417456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information &amp; Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1580375566","https://openalex.org/W1590983731","https://openalex.org/W1971916086","https://openalex.org/W2171671120","https://openalex.org/W2740409505","https://openalex.org/W2750384547","https://openalex.org/W2792643794","https://openalex.org/W2803187616","https://openalex.org/W2963226382","https://openalex.org/W3001199385"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2894289927"],"abstract_inverted_index":{"An":[0],"active":[1],"learning":[2],"(AL)":[3],"algorithm":[4],"seeks":[5,94],"to":[6,48,54,60,74,90,95,119,139,157],"construct":[7],"an":[8,70,83,114,137],"effective":[9,160],"classifier":[10,121],"with":[11],"a":[12,19,35,101,128,153],"minimal":[13],"number":[14],"of":[15,65,100,131],"labeled":[16],"examples":[17],"in":[18,88,117,149],"bootstrapping":[20,105],"manner.":[21],"While":[22],"standard":[23],"AL":[24,84],"heuristics,":[25],"such":[26,152],"as":[27],"selecting":[28],"those":[29,125],"points":[30],"for":[31,33],"annotation":[32],"which":[34],"classification":[36],"model":[37,91,102,116],"yields":[38],"least":[39],"confident":[40],"predictions,":[41],"there":[42],"has":[43],"been":[44],"no":[45],"empirical":[46],"investigation":[47],"see":[49],"if":[50],"these":[51],"heuristics":[52],"lead":[53,156],"models":[55],"that":[56,87,151],"are":[57],"more":[58,159,162],"interpretable":[59],"humans.":[61],"In":[62],"the":[63,98,104,120,132,141],"era":[64],"data-driven":[66,165],"learning,":[67],"this":[68],"is":[69,134],"important":[71],"research":[72],"direction":[73],"pursue.":[75],"This":[76],"paper":[77],"describes":[78],"our":[79,109],"work-in-progress":[80],"towards":[81],"developing":[82,158],"selection":[85,111],"function":[86,112],"addition":[89,118],"effectiveness":[92],"also":[93],"improve":[96],"on":[97,136],"interpretability":[99],"during":[103],"steps.":[106],"Concretely":[107],"speaking,":[108],"proposed":[110],"trains":[113],"'explainer'":[115],"model,":[122],"and":[123,161],"favours":[124],"instances":[126],"where":[127],"different":[129],"part":[130],"data":[133],"used,":[135],"average,":[138],"explain":[140],"predicted":[142],"class.":[143],"Initial":[144],"experiments":[145],"exhibited":[146],"encouraging":[147],"trends":[148],"showing":[150],"heuristic":[154],"can":[155],"explainable":[163],"end-to-end":[164],"classifiers.":[166]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
