{"id":"https://openalex.org/W7147034279","doi":"https://doi.org/10.48550/arxiv.2603.29986","title":"ParetoEnsembles.jl: A Julia Package for Multiobjective Parameter Estimation Using Pareto Optimal Ensemble Techniques","display_name":"ParetoEnsembles.jl: A Julia Package for Multiobjective Parameter Estimation Using Pareto Optimal Ensemble Techniques","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7147034279","doi":"https://doi.org/10.48550/arxiv.2603.29986"},"language":"en","primary_location":{"id":"pmh:oai:pubmedcentral.nih.gov:13060479","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13060479/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ArXiv","raw_type":"Text"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13060479/","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003161155","display_name":"Jeffrey D. Varner","orcid":"https://orcid.org/0000-0002-2558-7026"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Varner, Jeffrey D.","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003161155"],"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/T11721","display_name":"Blood properties and coagulation","score":0.20739999413490295,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11721","display_name":"Blood properties and coagulation","score":0.20739999413490295,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10881","display_name":"Blood Coagulation and Thrombosis Mechanisms","score":0.20489999651908875,"subfield":{"id":"https://openalex.org/subfields/2720","display_name":"Hematology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.03709999844431877,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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/identifiability","display_name":"Identifiability","score":0.7236999869346619},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.6391000151634216},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.5138999819755554},{"id":"https://openalex.org/keywords/model-parameter","display_name":"Model parameter","score":0.44670000672340393},{"id":"https://openalex.org/keywords/cascade","display_name":"Cascade","score":0.44440001249313354},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.4318000078201294},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4147999882698059}],"concepts":[{"id":"https://openalex.org/C122770356","wikidata":"https://www.wikidata.org/wiki/Q1656753","display_name":"Identifiability","level":2,"score":0.7236999869346619},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.6391000151634216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5572999715805054},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.5138999819755554},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.49390000104904175},{"id":"https://openalex.org/C2983447341","wikidata":"https://www.wikidata.org/wiki/Q1413083","display_name":"Model parameter","level":2,"score":0.44670000672340393},{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.44440001249313354},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.4318000078201294},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4147999882698059},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.4074000120162964},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4059999883174896},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3946000039577484},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.3447999954223633},{"id":"https://openalex.org/C55037315","wikidata":"https://www.wikidata.org/wiki/Q5421151","display_name":"Experimental data","level":2,"score":0.34209999442100525},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3154999911785126},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3052000105381012},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.28110000491142273},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2621000111103058},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.25519999861717224}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:pubmedcentral.nih.gov:13060479","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13060479/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ArXiv","raw_type":"Text"},{"id":"doi:10.48550/arxiv.2603.29986","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.29986","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:13060479","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13060479/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ArXiv","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2385414575","display_name":null,"funder_award_id":"R33 HL141787","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G3497591915","display_name":null,"funder_award_id":"(NIH)","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Mathematical":[0],"models":[1],"of":[2,38],"natural":[3],"and":[4,104,127,138,206],"man-made":[5],"systems":[6],"often":[7,31],"have":[8],"many":[9],"adjustable":[10],"parameters":[11],"that":[12,41,58,71,167,187],"must":[13],"be":[14],"estimated":[15,135],"from":[16,83,94],"multiple,":[17],"potentially":[18],"conflicting":[19],"datasets.":[20],"Rather":[21],"than":[22],"reporting":[23],"a":[24,68,118,128],"single":[25],"best-fit":[26],"parameter":[27,39,146],"vector,":[28],"it":[29],"is":[30,176],"more":[32],"informative":[33],"to":[34,85,97,124,160,193,210,214],"generate":[35],"an":[36,54,100],"ensemble":[37,189,203],"sets":[40],"collectively":[42],"map":[43],"out":[44],"the":[45,79,90,115,188,212],"trade-offs":[46],"among":[47],"competing":[48],"objectives.":[49,140],"This":[50],"paper":[51],"presents":[52],"ParetoEnsembles.jl,":[53],"open-source":[55],"Julia":[56],"package":[57,116],"generates":[59],"such":[60],"ensembles":[61],"using":[62],"Pareto":[63,87],"Optimal":[64],"Ensemble":[65],"Techniques":[66],"(POETs),":[67],"simulated-annealing-based":[69],"algorithm":[70],"requires":[72],"no":[73],"gradient":[74],"information.":[75],"The":[76],"implementation":[77],"corrects":[78],"original":[80],"dominance":[81],"relation":[82],"weak":[84],"strict":[86],"dominance,":[88],"reduces":[89],"per-iteration":[91],"ranking":[92],"cost":[93],"$O(n^2":[95],"m)$":[96],"$O(nm)$":[98],"through":[99],"incremental":[101],"update":[102],"scheme,":[103],"adds":[105],"multi-chain":[106],"parallel":[107],"execution":[108],"for":[109],"improved":[110],"front":[111],"coverage.":[112],"We":[113],"demonstrate":[114],"on":[117],"cell-free":[119],"gene":[120],"expression":[121],"model":[122,132,157,198],"fitted":[123],"experimental":[125,182],"data":[126,185],"blood":[129],"coagulation":[130],"cascade":[131],"with":[133,149],"ten":[134],"rate":[136,151],"constants":[137,152],"three":[139],"A":[141,162],"controlled":[142],"synthetic-data":[143],"study":[144],"reveals":[145],"identifiability":[147],"structure,":[148],"individual":[150],"off":[153],"by":[154],"several-fold":[155],"yet":[156],"predictions":[158],"accurate":[159],"7%.":[161],"five-replicate":[163],"coverage":[164],"analysis":[165],"confirms":[166],"timing":[168],"features":[169],"are":[170],"reliably":[171],"covered":[172],"while":[173],"peak":[174],"amplitude":[175],"systematically":[177],"overconfident.":[178],"Validation":[179],"against":[180],"published":[181],"thrombin":[183],"generation":[184,204],"demonstrates":[186],"predicts":[190],"held-out":[191],"conditions":[192],"within":[194],"10%":[195],"despite":[196],"inherent":[197],"approximation":[199],"error.":[200],"By":[201],"making":[202],"lightweight":[205],"accessible,":[207],"ParetoEnsembles.jl":[208],"aims":[209],"lower":[211],"barrier":[213],"routine":[215],"uncertainty":[216],"characterization":[217],"in":[218],"mechanistic":[219],"modeling.":[220]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2026-04-02T00:00:00"}