{"id":"https://openalex.org/W4401215006","doi":"https://doi.org/10.1145/3638530.3664130","title":"Interactive Symbolic Regression - A Study on Noise Sensitivity and Extrapolation Accuracy","display_name":"Interactive Symbolic Regression - A Study on Noise Sensitivity and Extrapolation Accuracy","publication_year":2024,"publication_date":"2024-07-14","ids":{"openalex":"https://openalex.org/W4401215006","doi":"https://doi.org/10.1145/3638530.3664130"},"language":"en","primary_location":{"id":"doi:10.1145/3638530.3664130","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638530.3664130","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","raw_type":"proceedings-article"},"type":"conference-paper","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":null,"display_name":"S. Sanjith Raghav","orcid":"https://orcid.org/0009-0002-9997-7083"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Sanjith Raghav","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham, Coimbatore, India"],"raw_orcid":"https://orcid.org/0009-0002-9997-7083","affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham, Coimbatore, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101296363","display_name":"Sudeesh Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Tejesh Kumar","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham, Coimbatore, India"],"raw_orcid":"https://orcid.org/0009-0000-5166-0840","affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham, Coimbatore, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043615156","display_name":"Rishiikesh Balaji","orcid":null},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rishiikesh Balaji","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham, Coimbatore, India"],"raw_orcid":"https://orcid.org/0009-0002-4487-6058","affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham, Coimbatore, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":null,"display_name":"M. Sanjay","orcid":"https://orcid.org/0009-0007-0386-4639"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Sanjay","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham, Coimbatore, India"],"raw_orcid":"https://orcid.org/0009-0007-0386-4639","affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham, Coimbatore, India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":null,"display_name":"C. Shunmuga","orcid":"https://orcid.org/0000-0003-3762-4311"},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"C. Shunmuga","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham University, Coimbatore, India"],"raw_orcid":"https://orcid.org/0000-0003-3762-4311","affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham University, Coimbatore, India","institution_ids":["https://openalex.org/I81556334"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I81556334"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2076","last_page":"2082"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9941999912261963,"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/T11975","display_name":"Evolutionary Algorithms and Applications","score":0.9941999912261963,"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/T11349","display_name":"Music Technology and Sound Studies","score":0.9901000261306763,"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/T11309","display_name":"Music and Audio Processing","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/extrapolation","display_name":"Extrapolation","score":0.8705532550811768},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.6988939046859741},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6411963701248169},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5940200686454773},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.581056535243988},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5274083018302917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4525153636932373},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.4207569360733032},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34677934646606445},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2487141191959381},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.09700042009353638},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08795440196990967}],"concepts":[{"id":"https://openalex.org/C132459708","wikidata":"https://www.wikidata.org/wiki/Q744069","display_name":"Extrapolation","level":2,"score":0.8705532550811768},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.6988939046859741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6411963701248169},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5940200686454773},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.581056535243988},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5274083018302917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4525153636932373},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4207569360733032},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34677934646606445},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2487141191959381},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.09700042009353638},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08795440196990967},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3638530.3664130","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3638530.3664130","pdf_url":null,"source":{"id":"https://openalex.org/S4363608771","display_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference Companion","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":17,"referenced_works":["https://openalex.org/W2151019861","https://openalex.org/W2562128003","https://openalex.org/W2841370030","https://openalex.org/W2949230122","https://openalex.org/W3037290665","https://openalex.org/W3046457509","https://openalex.org/W3094345900","https://openalex.org/W4220870416","https://openalex.org/W4238160257","https://openalex.org/W4281400719","https://openalex.org/W4285605950","https://openalex.org/W4289765664","https://openalex.org/W4323050423","https://openalex.org/W4385213973","https://openalex.org/W4388937910","https://openalex.org/W4392739529","https://openalex.org/W6810210838"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W1969346022","https://openalex.org/W2034959125","https://openalex.org/W2355687852"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"an":[3],"interactive":[4,108,186],"symbolic":[5],"regression":[6],"framework":[7],"i-gplearn,":[8],"which":[9],"extends":[10],"the":[11,23,34,37,46,49,67,90,117,131,153,157,163,168,183],"popular":[12],"Python":[13],"Symbolic":[14,24,132],"Regression":[15,25,133],"library":[16],"gplearn":[17,155],"with":[18,110],"user":[19,78,145,169],"interactivity.":[20],"Predominatly,":[21],"all":[22],"(SR)":[26],"algorithms":[27],"focus":[28],"on":[29,53,116],"best":[30],"model":[31,82],"fit":[32],"despite":[33],"fact":[35],"that":[36,89],"final":[38],"objective":[39],"is":[40],"more":[41],"about":[42],"scientific":[43],"insight":[44],"for":[45,58],"user.":[47],"Consequently,":[48],"possibility":[50],"of":[51,61,69,130,150,165,185],"relying":[52],"human":[54],"intuition":[55],"and":[56,71,80,102,123,139],"expertise":[57],"exploratory":[59],"discovery":[60,68],"models":[62],"has":[63],"greater":[64],"potential":[65,175],"in":[66,96,136,156,176],"relevant":[70],"useful":[72],"mathematical":[73],"expressions.":[74],"i-gplearn":[75,107,151],"combines":[76],"both":[77,173],"score":[79],"gplearn's":[81],"accuracy.":[83,106],"Recent":[84],"benchmark":[85],"studies":[86,146,171],"have":[87,113],"demonstrated":[88,115],"state-of-the-art":[91],"SR":[92],"approaches":[93],"find":[94],"difficulty":[95],"solving":[97],"problems":[98,103],"sensitive":[99,124,158],"to":[100,125,159],"noise":[101,126,160],"demanding":[104],"extrapolation":[105,121,166],"experiments":[109],"11":[111],"users":[112],"been":[114],"two":[118],"tasks":[119],"-":[120],"accuracy":[122],"conducted":[127],"as":[128,180,182],"part":[129],"competition":[134],"hosted":[135],"2022":[137],"Genetic":[138],"Evolutionary":[140],"Computation":[141],"Conference":[142],"(GECCO).":[143],"The":[144],"showed":[147,172],"competitive":[148],"performance":[149],"against":[152],"baseline":[154],"task.":[161],"In":[162],"case":[164],"accuracy,":[167],"interaction":[170],"huge":[174],"identifying":[177],"diverse":[178],"expressions":[179],"well":[181],"challenges":[184],"experiments.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}