{"id":"https://openalex.org/W3138096682","doi":"https://doi.org/10.48550/arxiv.2103.07805","title":"CACTUS: Detecting and Resolving Conflicts in Objective Functions","display_name":"CACTUS: Detecting and Resolving Conflicts in Objective Functions","publication_year":2021,"publication_date":"2021-03-13","ids":{"openalex":"https://openalex.org/W3138096682","doi":"https://doi.org/10.48550/arxiv.2103.07805","mag":"3138096682"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2103.07805","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.07805","pdf_url":"https://arxiv.org/pdf/2103.07805","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2103.07805","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102981760","display_name":"Subhajit Das","orcid":"https://orcid.org/0000-0002-4065-8793","observed_orcids":["https://orcid.org/0000-0002-4065-8793"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Das, Subhajit","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5064306421","display_name":"Alex Endert","orcid":"https://orcid.org/0000-0002-6914-610X","observed_orcids":["https://orcid.org/0000-0002-6914-610X"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Endert, Alex","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9545999765396118,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9545999765396118,"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/T10260","display_name":"Software Engineering Research","score":0.00860000029206276,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.005900000222027302,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/multi-objective-optimization","display_name":"multi-objective optimization","score":0.843999981880188},{"id":"https://openalex.org/keywords/conflicting-objectives","display_name":"conflicting objectives","score":0.7409999966621399},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"visual analytics","score":0.6320000290870667},{"id":"https://openalex.org/keywords/classifier-selection","display_name":"classifier selection","score":0.6710000038146973},{"id":"https://openalex.org/keywords/loss-functions","display_name":"loss functions","score":0.5289999842643738},{"id":"https://openalex.org/keywords/jupyter-notebooks","display_name":"Jupyter notebooks","score":0.8140000104904175},{"id":"https://openalex.org/keywords/constraint-solving","display_name":"constraint solving","score":0.42899999022483826},{"id":"https://openalex.org/keywords/classification","display_name":"classification","score":0.3779999911785126}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7416762113571167},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6385892629623413},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5825204849243164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5598494410514832},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4990115165710449},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.4530583620071411}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:2103.07805","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.07805","pdf_url":"https://arxiv.org/pdf/2103.07805","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},{"id":"mag:3138096682","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2103.07805","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2103.07805","doi":"https://doi.org/10.48550/arxiv.2103.07805","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2103.07805","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2103.07805","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.07805","pdf_url":"https://arxiv.org/pdf/2103.07805","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G4713059963","display_name":null,"funder_award_id":"FA8750","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"},{"id":"https://openalex.org/G583798692","display_name":null,"funder_award_id":"FA8750-17-2-0107","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":77,"referenced_works":["https://openalex.org/W42649658","https://openalex.org/W1514535095","https://openalex.org/W1547172306","https://openalex.org/W1787224781","https://openalex.org/W1830239953","https://openalex.org/W1849277567","https://openalex.org/W1979686514","https://openalex.org/W1987958230","https://openalex.org/W1996796871","https://openalex.org/W2001797884","https://openalex.org/W2016203627","https://openalex.org/W2025786233","https://openalex.org/W2034398542","https://openalex.org/W2081939577","https://openalex.org/W2094485533","https://openalex.org/W2096307462","https://openalex.org/W2102134046","https://openalex.org/W2112299196","https://openalex.org/W2112364454","https://openalex.org/W2118022153","https://openalex.org/W2124625866","https://openalex.org/W2133787071","https://openalex.org/W2137406659","https://openalex.org/W2143867397","https://openalex.org/W2148296789","https://openalex.org/W2162478582","https://openalex.org/W2163191783","https://openalex.org/W2164878629","https://openalex.org/W2165254944","https://openalex.org/W2168573280","https://openalex.org/W2182361439","https://openalex.org/W2282821441","https://openalex.org/W2395138788","https://openalex.org/W2414607481","https://openalex.org/W2503325364","https://openalex.org/W2594164625","https://openalex.org/W2594633041","https://openalex.org/W2597603852","https://openalex.org/W2605409611","https://openalex.org/W2607223307","https://openalex.org/W2611930297","https://openalex.org/W2626639386","https://openalex.org/W2726343603","https://openalex.org/W2741249634","https://openalex.org/W2741678970","https://openalex.org/W2751298778","https://openalex.org/W2751642492","https://openalex.org/W2751746637","https://openalex.org/W2765813195","https://openalex.org/W2767204723","https://openalex.org/W2783793006","https://openalex.org/W2785722081","https://openalex.org/W2785760873","https://openalex.org/W2790685724","https://openalex.org/W2796885425","https://openalex.org/W2807910285","https://openalex.org/W2890538051","https://openalex.org/W2891612330","https://openalex.org/W2895739182","https://openalex.org/W2913994026","https://openalex.org/W2914804334","https://openalex.org/W2916797267","https://openalex.org/W2918027211","https://openalex.org/W2949676527","https://openalex.org/W2949973186","https://openalex.org/W2954471638","https://openalex.org/W2962843949","https://openalex.org/W2962862931","https://openalex.org/W2964256412","https://openalex.org/W2969980980","https://openalex.org/W2971048680","https://openalex.org/W2979200397","https://openalex.org/W2980494201","https://openalex.org/W2996061341","https://openalex.org/W3042778898","https://openalex.org/W3129999520","https://openalex.org/W3139250374"],"related_works":["https://openalex.org/W3035429611","https://openalex.org/W2995091170","https://openalex.org/W2580464820","https://openalex.org/W204502587","https://openalex.org/W2264023853","https://openalex.org/W3164310701","https://openalex.org/W2071336243","https://openalex.org/W3015354661","https://openalex.org/W2808276315","https://openalex.org/W99107518","https://openalex.org/W58316717","https://openalex.org/W2906883261","https://openalex.org/W2953980257","https://openalex.org/W3196375065","https://openalex.org/W283690403","https://openalex.org/W2619267851","https://openalex.org/W2906410328","https://openalex.org/W2494781433","https://openalex.org/W2082732699","https://openalex.org/W2184686285"],"abstract_inverted_index":{"Machine":[0],"learning":[1,23],"(ML)":[2],"models":[3,20],"are":[4,78],"constructed":[5],"by":[6,119,220,250],"expert":[7],"ML":[8,52,178],"practitioners":[9],"using":[10,136],"various":[11],"coding":[12],"languages,":[13],"in":[14,130,152,190,193,205,212],"which":[15,81],"they":[16],"tune":[17],"and":[18,22,64,147,154,157,222,226,232],"select":[19],"hyperparameters":[21],"algorithms":[24],"for":[25,49,80,107,175,197,254],"a":[26,50,67,108,121,131,206,218,229,255],"given":[27,51],"problem":[28],"domain.":[29],"They":[30],"also":[31,183],"carefully":[32],"design":[33],"an":[34,137,185],"objective":[35,105,126,164,191,195,215,248],"function":[36,39,165],"or":[37,134,180],"loss":[38],"(often":[40],"with":[41],"multiple":[42],"objectives)":[43],"that":[44,88,170,209,240],"captures":[45],"the":[46,95,163,176],"desired":[47,91,177],"output":[48],"task":[53,179],"such":[54,73],"as":[55],"classification,":[56],"regression,":[57],"etc.":[58],"In":[59,72,94,110],"multi-objective":[60,125,194],"optimization,":[61],"conflicting":[62,159,168,224],"objectives":[63,77,92,169,225],"constraints":[65],"is":[66,86],"major":[68],"area":[69],"of":[70,117,162,187],"concern.":[71],"problems,":[74],"several":[75],"competing":[76],"seen":[79],"no":[82],"single":[83],"optimal":[84],"solution":[85],"found":[87],"satisfies":[89],"all":[90],"simultaneously.":[93],"past":[96],"VA":[97,207],"systems":[98],"have":[99],"allowed":[100],"users":[101,143,211,244],"to":[102,123,141,217],"interactively":[103,245],"construct":[104],"functions":[106,127,196,216,249],"classifier.":[109],"this":[111,115],"paper,":[112],"we":[113,201,236],"extend":[114],"line":[116],"work":[118],"prototyping":[120],"technique":[122,242],"visualize":[124],"either":[128],"defined":[129,135],"Jupyter":[132],"notebook":[133],"interactive":[138],"visual":[139],"interface":[140],"help":[142],"to:":[144],"(1)":[145],"perceive":[146],"interpret":[148],"complex":[149],"mathematical":[150],"terms":[151],"it":[153],"(2)":[155],"detect":[156],"resolve":[158],"objectives.":[160],"Visualization":[161],"enlightens":[166],"potentially":[167],"obstructs":[171],"selecting":[172],"correct":[173],"solution(s)":[174],"goal.":[181],"We":[182],"present":[184,237],"enumeration":[186],"potential":[188,252],"conflicts":[189,253],"specification":[192],"classifier":[198,219],"selection.":[199],"Furthermore,":[200],"demonstrate":[202],"our":[203,241],"approach":[204],"system":[208],"helps":[210,243],"specifying":[213],"meaningful":[214,247],"detecting":[221],"resolving":[223,251],"constraints.":[227],"Through":[228],"within-subject":[230],"quantitative":[231],"qualitative":[233],"user":[234],"study,":[235],"results":[238],"showing":[239],"specify":[246],"classification":[256],"task.":[257]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}
