{"id":"https://openalex.org/W7160058566","doi":"https://doi.org/10.1007/s42486-025-00202-2","title":"MBBALD:\u00a0an active data acquisition strategy via sparse mobile crowdsensing for embodied AI","display_name":"MBBALD:\u00a0an active data acquisition strategy via sparse mobile crowdsensing for embodied AI","publication_year":2026,"publication_date":"2026-04-30","ids":{"openalex":"https://openalex.org/W7160058566","doi":"https://doi.org/10.1007/s42486-025-00202-2"},"language":"en","primary_location":{"id":"doi:10.1007/s42486-025-00202-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42486-025-00202-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42486-025-00202-2.pdf","source":{"id":"https://openalex.org/S4210200914","display_name":"CCF Transactions on Pervasive Computing and Interaction","issn_l":"2524-521X","issn":["2524-521X","2524-5228"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CCF Transactions on Pervasive Computing and Interaction","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42486-025-00202-2.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101646249","display_name":"Wenjun Huang","orcid":"https://orcid.org/0000-0003-4520-4827"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenjun Huang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, 130012, Jilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, 130012, Jilin, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135182022","display_name":"En Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"En Wang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, 130012, Jilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, 130012, Jilin, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135233647","display_name":"Wenbin Liu","orcid":"https://orcid.org/0009-0008-5920-5517"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenbin Liu","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, 130012, Jilin, China"],"raw_orcid":"https://orcid.org/0009-0008-5920-5517","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, 130012, Jilin, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022144626","display_name":"Funing Yang","orcid":"https://orcid.org/0000-0002-5286-9491"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Funing Yang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, 130012, Jilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, 130012, Jilin, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135211891","display_name":"Yuanbo Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanbo Xu","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, 130012, Jilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, 130012, Jilin, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135107466","display_name":"Yongjian Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]},{"id":"https://openalex.org/I4210134929","display_name":"Jilin Province Science and Technology Department","ror":"https://ror.org/049x38272","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210134929"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjian Yang","raw_affiliation_strings":["College of Computer Science and Technology, Jilin University, Changchun, 130012, Jilin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Jilin University, Changchun, 130012, Jilin, China","institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5135233647"],"corresponding_institution_ids":["https://openalex.org/I194450716","https://openalex.org/I4210134929"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":{"value":2990,"currency":"USD","value_usd":2990},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52704862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"2","first_page":"351","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9564999938011169,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9564999938011169,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.011500000022351742,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.00839999970048666,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/embodied-cognition","display_name":"Embodied cognition","score":0.6955999732017517},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5724999904632568},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5062000155448914},{"id":"https://openalex.org/keywords/active-perception","display_name":"Active perception","score":0.4945000112056732},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4837000072002411},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.4765999913215637},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"Crowdsensing","score":0.4388999938964844},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.43860000371932983},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4318000078201294}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6960999965667725},{"id":"https://openalex.org/C100609095","wikidata":"https://www.wikidata.org/wiki/Q1335050","display_name":"Embodied cognition","level":2,"score":0.6955999732017517},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5724999904632568},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5062000155448914},{"id":"https://openalex.org/C2776010242","wikidata":"https://www.wikidata.org/wiki/Q4677575","display_name":"Active perception","level":3,"score":0.4945000112056732},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4837000072002411},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.4765999913215637},{"id":"https://openalex.org/C2780821482","wikidata":"https://www.wikidata.org/wiki/Q25381721","display_name":"Crowdsensing","level":2,"score":0.4388999938964844},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.43860000371932983},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4318000078201294},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4099999964237213},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.40700000524520874},{"id":"https://openalex.org/C2776207758","wikidata":"https://www.wikidata.org/wiki/Q5303302","display_name":"Downstream (manufacturing)","level":2,"score":0.3971000015735626},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.38420000672340393},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.36399999260902405},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.34869998693466187},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3292999863624573},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3224000036716461},{"id":"https://openalex.org/C144543869","wikidata":"https://www.wikidata.org/wiki/Q2738570","display_name":"Mobile computing","level":2,"score":0.31690001487731934},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.29510000348091125},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.2944999933242798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2924000024795532},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.27970001101493835},{"id":"https://openalex.org/C19443361","wikidata":"https://www.wikidata.org/wiki/Q5282533","display_name":"Disparate system","level":2,"score":0.27230000495910645},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.2651999890804291},{"id":"https://openalex.org/C49261128","wikidata":"https://www.wikidata.org/wiki/Q1132455","display_name":"Hazard","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s42486-025-00202-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42486-025-00202-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42486-025-00202-2.pdf","source":{"id":"https://openalex.org/S4210200914","display_name":"CCF Transactions on Pervasive Computing and Interaction","issn_l":"2524-521X","issn":["2524-521X","2524-5228"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CCF Transactions on Pervasive Computing and Interaction","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s42486-025-00202-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42486-025-00202-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42486-025-00202-2.pdf","source":{"id":"https://openalex.org/S4210200914","display_name":"CCF Transactions on Pervasive Computing and Interaction","issn_l":"2524-521X","issn":["2524-521X","2524-5228"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CCF Transactions on Pervasive Computing and Interaction","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7523598670959473,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G5642879476","display_name":null,"funder_award_id":"2021ZD0112502","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6830976441","display_name":null,"funder_award_id":"62472194","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7951619774","display_name":null,"funder_award_id":"62272193","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8664803280","display_name":null,"funder_award_id":"Nos. 2021ZD0112501","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7160058566.pdf","grobid_xml":"https://content.openalex.org/works/W7160058566.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1680189815","https://openalex.org/W1995875735","https://openalex.org/W2045487859","https://openalex.org/W2057041225","https://openalex.org/W2125826911","https://openalex.org/W2127347346","https://openalex.org/W2340177571","https://openalex.org/W2347001382","https://openalex.org/W2473536663","https://openalex.org/W2473808492","https://openalex.org/W2740307401","https://openalex.org/W2765580447","https://openalex.org/W2943384223","https://openalex.org/W2949779061","https://openalex.org/W3087906567","https://openalex.org/W3110669662","https://openalex.org/W3135834199","https://openalex.org/W3158913607"],"related_works":[],"abstract_inverted_index":{"Abstract":[0],"Data":[1],"quality":[2,22,107],"and":[3,99,239,260,287],"budget":[4],"are":[5],"two":[6],"major":[7],"concerns":[8],"in":[9,41,104,132,170],"large-scale":[10],"urban":[11,105],"Mobile":[12,43,180],"Crowdsensing":[13,44,181],"(MCS)":[14],"technologies.":[15],"Traditional":[16],"MCS":[17],"research":[18],"primarily":[19],"measures":[20],"data":[21,34,57,64,98,127,148,164,236,319],"based":[23],"on":[24,50,208,301],"sensing":[25],"coverage,":[26],"without":[27],"fully":[28],"considering":[29,193],"the":[30,33,52,60,73,161,187,194,210,224,241,264,280,307,318,331,342,356,363],"importance":[31],"of":[32,63,75,96,163,196,220,244,266,270,309,358],"for":[35,56,92,151,191,291],"downstream":[36,197],"tasks.":[37,198],"As":[38,145],"a":[39,78,146,178,218,284,346],"result,":[40],"Sparse":[42,179],"(SMCS),":[45],"existing":[46,154,200],"studies":[47],"often":[48,159],"focus":[49,206],"selecting":[51,209,217],"subregions":[53,190],"most":[54,90,188],"valuable":[55,189],"inference,":[58],"overlooking":[59],"ultimate":[61],"goal":[62],"collection,":[65],"which":[66],"is":[67,81,89,274],"to":[68,83,117,130,165,234,305,326],"support":[69],"subsequent":[70],"decision-making.":[71],"With":[72],"rise":[74],"Embodied":[76,152,171,214,245],"AI,":[77,153],"core":[79],"challenge":[80],"how":[82],"actively":[84],"collect":[85],"key":[86],"information":[87,229],"that":[88,185,254,316],"helpful":[91],"decision-making":[93,169],"under":[94],"conditions":[95],"sparse":[97,125],"high":[100],"costs.":[101],"For":[102],"example,":[103],"air":[106],"monitoring,":[108],"insufficient":[109],"sensor":[110],"deployment":[111],"may":[112,227],"cause":[113],"critical":[114],"polluted":[115],"regions":[116],"go":[118],"unobserved,":[119],"undermining":[120],"public":[121],"health":[122],"decisions.":[123],"Similarly,":[124],"traffic":[126,332],"can":[128],"lead":[129],"errors":[131],"autonomous":[133],"driving":[134],"systems,":[135],"such":[136],"as":[137,355],"flawed":[138],"route":[139],"planning":[140],"or":[141],"hazard":[142],"detection":[143],"failures.":[144],"feasible":[147],"collection":[149,237],"paradigm":[150],"SMCS":[155,201],"subregion":[156,202,226],"selection":[157,203,265],"methods":[158,204],"ignore":[160],"relevance":[162],"tasks,":[166],"thereby":[167],"affecting":[168],"AI.":[172,246],"To":[173],"address":[174],"this,":[175],"we":[176,278,298],"design":[177],"active":[182,251],"perception":[183,242],"framework":[184],"selects":[186],"decision-making,":[192],"context":[195],"Furthermore,":[199],"usually":[205],"only":[207,223],"optimal":[211,225,268],"subregion,":[212],"whereas":[213],"AI":[215],"requires":[216],"set":[219,269],"subregions.":[221,271],"Choosing":[222],"overlook":[228],"overlap":[230],"between":[231],"subregions,":[232],"leading":[233],"wasted":[235],"costs":[238],"reducing":[240],"efficiency":[243],"This":[247],"paper":[248],"proposes":[249],"an":[250,267,275],"acquisition":[252],"strategy":[253,282],"takes":[255],"into":[256],"account":[257],"parameter":[258],"uncertainty":[259],"probabilistic":[261],"margins,":[262],"enabling":[263],"Since":[272],"this":[273,292],"NP-hard":[276],"problem,":[277],"approximate":[279],"proposed":[281,311],"using":[283],"greedy":[285],"algorithm":[286,344],"provide":[288],"performance":[289],"guarantees":[290],"approximation":[293],"through":[294],"theoretical":[295],"proofs.":[296],"Finally,":[297],"conduct":[299],"experiments":[300],"three":[302],"real-world":[303],"datasets":[304],"validate":[306],"effectiveness":[308],"our":[310],"method.":[312],"Experimental":[313],"results":[314],"show":[315],"when":[317],"missing":[320,348],"rate":[321],"exceeds":[322],"60%,":[323],"MBBALD":[324],"starts":[325],"outperform":[327],"other":[328],"algorithms.":[329],"On":[330],"flow":[333],"dataset,":[334],"it":[335],"achieves":[336],"over":[337,367],"4%":[338],"higher":[339],"accuracy":[340],"than":[341],"second-best":[343,364],"at":[345],"50%":[347],"rate.":[349],"Its":[350],"advantage":[351],"becomes":[352],"more":[353,370],"evident":[354],"number":[357],"selected":[359,371],"points":[360],"increases,":[361],"surpassing":[362],"method":[365],"by":[366],"3%":[368],"with":[369],"points.":[372]},"counts_by_year":[],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2026-05-05T00:00:00"}
