{"id":"https://openalex.org/W2767159292","doi":"https://doi.org/10.1145/3172944.3172989","title":"User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction","display_name":"User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction","publication_year":2018,"publication_date":"2018-03-05","ids":{"openalex":"https://openalex.org/W2767159292","doi":"https://doi.org/10.1145/3172944.3172989","mag":"2767159292"},"language":"en","primary_location":{"id":"doi:10.1145/3172944.3172989","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3172944.3172989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"23rd International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1710.04881","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Pedram Daee","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Pedram Daee","raw_affiliation_strings":["Aalto University, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tomi Peltola","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tomi Peltola","raw_affiliation_strings":["Aalto University, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Aki Vehtari","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Aki Vehtari","raw_affiliation_strings":["Aalto University, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":null,"display_name":"Samuel Kaski","orcid":null},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Samuel Kaski","raw_affiliation_strings":["Aalto University, Espoo, Finland"],"affiliations":[{"raw_affiliation_string":"Aalto University, Espoo, Finland","institution_ids":["https://openalex.org/I9927081"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9927081"],"apc_list":null,"apc_paid":null,"fwci":1.1847,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8377801,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"305","last_page":"310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9966999888420105,"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":0.9966999888420105,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9957000017166138,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.8934000134468079},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.582099974155426},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5257999897003174},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.5131999850273132},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.49219998717308044},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41040000319480896},{"id":"https://openalex.org/keywords/preference-elicitation","display_name":"Preference elicitation","score":0.38839998841285706},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3749000132083893}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.8934000134468079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8019000291824341},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6657000184059143},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.582099974155426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.541700005531311},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5257999897003174},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.5131999850273132},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.49219998717308044},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4499000012874603},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41040000319480896},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.38839998841285706},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38339999318122864},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3749000132083893},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.36079999804496765},{"id":"https://openalex.org/C2777622855","wikidata":"https://www.wikidata.org/wiki/Q7901844","display_name":"User information","level":3,"score":0.35339999198913574},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.3531000018119812},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.32820001244544983},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C149229913","wikidata":"https://www.wikidata.org/wiki/Q135707","display_name":"User interface design","level":3,"score":0.30230000615119934},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.2957000136375427},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2669999897480011},{"id":"https://openalex.org/C91262260","wikidata":"https://www.wikidata.org/wiki/Q528074","display_name":"End user","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3172944.3172989","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3172944.3172989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"23rd International Conference on Intelligent User Interfaces","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:publications/e54fcd22-ed48-452c-b043-1f7111dacf7a","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/e54fcd22-ed48-452c-b043-1f7111dacf7a","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Daee, P, Peltola, T, Vehtari, A & Kaski, S 2018, User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction. in IUI 2018 - Proceedings of the 23rd International Conference on Intelligent User Interfaces. ACM Digital Library, New York, NY, pp. 305-310, International Conference on Intelligent User Interfaces, Japan, 7/03/18. https://doi.org/10.1145/3172944.3172989","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:aaltodoc.aalto.fi:123456789/35367","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1710.04881","pdf_url":"https://arxiv.org/pdf/1710.04881","source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"preprint"},{"id":"pmh:oai:arXiv.org:1710.04881","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1710.04881","pdf_url":"https://arxiv.org/pdf/1710.04881","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":"pmh:oai:aaltodoc.aalto.fi:123456789/35367","is_oa":true,"landing_page_url":"https://arxiv.org/abs/1710.04881","pdf_url":"https://arxiv.org/pdf/1710.04881","source":{"id":"https://openalex.org/S4306401662","display_name":"Aaltodoc (Aalto University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I9927081","host_organization_name":"Aalto University","host_organization_lineage":["https://openalex.org/I9927081"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"preprint"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5068041511","display_name":null,"funder_award_id":"Re:Know","funder_id":"https://openalex.org/F4320321855","funder_display_name":"Tekes"}],"funders":[{"id":"https://openalex.org/F4320321855","display_name":"Tekes","ror":"https://ror.org/02ag8cq23"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2767159292.pdf","grobid_xml":"https://content.openalex.org/works/W2767159292.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W73593153","https://openalex.org/W1501005121","https://openalex.org/W2566364994","https://openalex.org/W2581439026","https://openalex.org/W2906194767","https://openalex.org/W4292157289"],"related_works":[],"abstract_inverted_index":{"In":[0],"human-in-the-loop":[1],"machine":[2,154],"learning,":[3],"the":[4,11,34,37,46,49,58,75,81,96,108,133],"user":[5,17,47,76,86,102,123,138,142],"provides":[6],"information":[7],"beyond":[8],"that":[9,107,132],"in":[10,80,100,113,147],"training":[12,50],"data.":[13,82],"Many":[14],"algorithms":[15],"and":[16,24,72,151],"interfaces":[18],"have":[19,32],"been":[20],"designed":[21],"to":[22,48,67,94],"optimize":[23],"facilitate":[25],"this":[26,64],"human--machine":[27],"interaction;":[28],"however,":[29],"fewer":[30],"studies":[31],"addressed":[33],"potential":[35],"defects":[36],"designs":[38],"can":[39,65],"cause.":[40],"Effective":[41],"interaction":[42],"often":[43],"requires":[44],"exposing":[45],"data":[51,71],"or":[52],"its":[53],"statistics.":[54],"The":[55],"design":[56],"of":[57,70,136],"system":[59],"is":[60,128],"then":[61],"critical,":[62],"as":[63],"lead":[66],"double":[68],"use":[69],"overfitting,":[73],"if":[74],"reinforces":[77],"noisy":[78],"patterns":[79],"We":[83,98,130],"propose":[84],"a":[85,101,114],"modelling":[87],"methodology,":[88],"by":[89],"assuming":[90],"simple":[91],"rational":[92],"behaviour,":[93],"correct":[95],"problem.":[97],"show,":[99],"study":[103],"with":[104,140],"48":[105],"participants,":[106],"method":[109],"improves":[110],"predictive":[111],"performance":[112],"sparse":[115],"linear":[116],"regression":[117],"sentiment":[118],"analysis":[119],"task,":[120],"where":[121],"graded":[122],"knowledge":[124,139],"on":[125],"feature":[126],"relevance":[127],"elicited.":[129],"believe":[131],"key":[134],"idea":[135],"inferring":[137],"probabilistic":[141],"models":[143],"has":[144],"general":[145],"applicability":[146],"guarding":[148],"against":[149],"overfitting":[150],"improving":[152],"interactive":[153],"learning.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2017-11-10T00:00:00"}