{"id":"https://openalex.org/W3047625343","doi":"https://doi.org/10.1007/s10994-022-06181-0","title":"Feature ranking for semi-supervised learning","display_name":"Feature ranking for semi-supervised learning","publication_year":2022,"publication_date":"2022-06-22","ids":{"openalex":"https://openalex.org/W3047625343","doi":"https://doi.org/10.1007/s10994-022-06181-0","mag":"3047625343"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-022-06181-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06181-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06181-0.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","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/s10994-022-06181-0.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036986375","display_name":"Matej Petkovi\u0107","orcid":"https://orcid.org/0000-0002-0495-9046"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]},{"id":"https://openalex.org/I4210113529","display_name":"Jo\u017eef Stefan International Postgraduate School","ror":"https://ror.org/01hdkb925","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210113529"]}],"countries":["SI"],"is_corresponding":true,"raw_author_name":"Matej Petkovi\u0107","raw_affiliation_strings":["Jo\u017eef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia","Jo\u017eef Stefan International Postgraduate School, Jamova 39, 1000, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]},{"raw_affiliation_string":"Jo\u017eef Stefan International Postgraduate School, Jamova 39, 1000, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I4210113529"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064609702","display_name":"Sa\u0161o D\u017eeroski","orcid":"https://orcid.org/0000-0003-2363-712X"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]},{"id":"https://openalex.org/I4210113529","display_name":"Jo\u017eef Stefan International Postgraduate School","ror":"https://ror.org/01hdkb925","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210113529"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Sa\u0161o D\u017eeroski","raw_affiliation_strings":["Jo\u017eef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia","Jo\u017eef Stefan International Postgraduate School, Jamova 39, 1000, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]},{"raw_affiliation_string":"Jo\u017eef Stefan International Postgraduate School, Jamova 39, 1000, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I4210113529"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004076545","display_name":"Dragi Kocev","orcid":"https://orcid.org/0000-0003-0687-0878"},"institutions":[{"id":"https://openalex.org/I3006985408","display_name":"Jo\u017eef Stefan Institute","ror":"https://ror.org/05060sz93","country_code":"SI","type":"facility","lineage":["https://openalex.org/I3006985408"]},{"id":"https://openalex.org/I4210113529","display_name":"Jo\u017eef Stefan International Postgraduate School","ror":"https://ror.org/01hdkb925","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210113529"]}],"countries":["SI"],"is_corresponding":false,"raw_author_name":"Dragi Kocev","raw_affiliation_strings":["Jo\u017eef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia","Jo\u017eef Stefan International Postgraduate School, Jamova 39, 1000, Ljubljana, Slovenia"],"affiliations":[{"raw_affiliation_string":"Jo\u017eef Stefan Institute, Jamova 39, 1000, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I3006985408"]},{"raw_affiliation_string":"Jo\u017eef Stefan International Postgraduate School, Jamova 39, 1000, Ljubljana, Slovenia","institution_ids":["https://openalex.org/I4210113529"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036986375"],"corresponding_institution_ids":["https://openalex.org/I3006985408","https://openalex.org/I4210113529"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.5086,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.83676438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"112","issue":"11","first_page":"4379","last_page":"4408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9993000030517578,"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"}},{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9984999895095825,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7017455697059631},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.687716007232666},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.684257984161377},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.666873574256897},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6045548915863037},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5855002403259277},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5537129044532776},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5401247143745422},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5002210140228271},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.48660433292388916},{"id":"https://openalex.org/keywords/supervised-learning","display_name":"Supervised learning","score":0.45067834854125977},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.43425697088241577},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4279133081436157},{"id":"https://openalex.org/keywords/multi-label-classification","display_name":"Multi-label classification","score":0.4250234365463257},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42279016971588135},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4142007827758789},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.41417649388313293},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3919815421104431},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.19716504216194153},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12901151180267334}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7017455697059631},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.687716007232666},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.684257984161377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.666873574256897},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6045548915863037},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5855002403259277},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5537129044532776},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5401247143745422},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5002210140228271},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.48660433292388916},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.45067834854125977},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.43425697088241577},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4279133081436157},{"id":"https://openalex.org/C2776482837","wikidata":"https://www.wikidata.org/wiki/Q3553958","display_name":"Multi-label classification","level":2,"score":0.4250234365463257},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42279016971588135},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4142007827758789},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.41417649388313293},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3919815421104431},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.19716504216194153},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12901151180267334},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-022-06181-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06181-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06181-0.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10994-022-06181-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-022-06181-0","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-022-06181-0.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"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":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G160504491","display_name":null,"funder_award_id":"N2-0128","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"},{"id":"https://openalex.org/G3346594596","display_name":null,"funder_award_id":"TAILOR: grant No. 952215","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G5306613136","display_name":null,"funder_award_id":"J2-9230","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"},{"id":"https://openalex.org/G5948159018","display_name":null,"funder_award_id":"J7-9400","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"},{"id":"https://openalex.org/G7530123626","display_name":null,"funder_award_id":"P2-0103","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"},{"id":"https://openalex.org/G7738510628","display_name":null,"funder_award_id":"J7-1815","funder_id":"https://openalex.org/F4320322554","funder_display_name":"Javna Agencija za Raziskovalno Dejavnost RS"}],"funders":[{"id":"https://openalex.org/F4320322554","display_name":"Javna Agencija za Raziskovalno Dejavnost RS","ror":"https://ror.org/059bp8k51"},{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3047625343.pdf","grobid_xml":"https://content.openalex.org/works/W3047625343.grobid-xml"},"referenced_works_count":69,"referenced_works":["https://openalex.org/W157861987","https://openalex.org/W190437827","https://openalex.org/W1500895378","https://openalex.org/W1517835688","https://openalex.org/W1571076699","https://openalex.org/W1599003247","https://openalex.org/W1603920809","https://openalex.org/W1723695790","https://openalex.org/W1756265184","https://openalex.org/W1870686808","https://openalex.org/W1967030981","https://openalex.org/W1967542092","https://openalex.org/W1981403533","https://openalex.org/W1990334093","https://openalex.org/W1990519701","https://openalex.org/W2009985472","https://openalex.org/W2020836902","https://openalex.org/W2028335839","https://openalex.org/W2033072307","https://openalex.org/W2046935534","https://openalex.org/W2056132907","https://openalex.org/W2073459066","https://openalex.org/W2076179262","https://openalex.org/W2076513103","https://openalex.org/W2091099817","https://openalex.org/W2096776111","https://openalex.org/W2097176879","https://openalex.org/W2101234009","https://openalex.org/W2101511465","https://openalex.org/W2119387367","https://openalex.org/W2121175754","https://openalex.org/W2122522916","https://openalex.org/W2135293965","https://openalex.org/W2147345348","https://openalex.org/W2156935079","https://openalex.org/W2164568552","https://openalex.org/W2165766797","https://openalex.org/W2168138569","https://openalex.org/W2244035566","https://openalex.org/W2250086655","https://openalex.org/W2283039974","https://openalex.org/W2323196655","https://openalex.org/W2326291605","https://openalex.org/W2470233764","https://openalex.org/W2550999023","https://openalex.org/W2585417605","https://openalex.org/W2615416810","https://openalex.org/W2746791238","https://openalex.org/W2784987599","https://openalex.org/W2789904909","https://openalex.org/W2793489000","https://openalex.org/W2809544832","https://openalex.org/W2895536021","https://openalex.org/W2911964244","https://openalex.org/W2927351257","https://openalex.org/W2958089299","https://openalex.org/W2971238384","https://openalex.org/W2980374817","https://openalex.org/W3091502028","https://openalex.org/W3092958026","https://openalex.org/W3119896404","https://openalex.org/W3124484778","https://openalex.org/W3140910462","https://openalex.org/W4235169531","https://openalex.org/W4285719527","https://openalex.org/W4313495617","https://openalex.org/W6668990524","https://openalex.org/W6675354045","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2561617217","https://openalex.org/W1983574915","https://openalex.org/W2149795293","https://openalex.org/W2296406158","https://openalex.org/W2086141029","https://openalex.org/W2527691073","https://openalex.org/W2782564536","https://openalex.org/W61058509","https://openalex.org/W2794071810"],"abstract_inverted_index":{"Abstract":[0],"The":[1,108,211],"data":[2],"used":[3],"for":[4,22,31,101,180,225,237,249,265],"analysis":[5],"are":[6,48,71,111,234],"becoming":[7],"increasingly":[8],"complex":[9],"along":[10],"several":[11],"directions:":[12],"high":[13],"dimensionality,":[14],"number":[15,44],"of":[16,20,29,45,67,86,105,116,126,151,158,166,177,183,202,263,267,274],"examples":[17,46,57],"and":[18,118,137,185,198,230,233],"availability":[19],"labels":[21,59],"the":[23,32,65,87,114,124,144,149,164,172,181,199,223,235,250,261,268,272],"examples.":[24],"This":[25,142],"poses":[26],"a":[27,42,51],"variety":[28],"challenges":[30],"existing":[33],"machine":[34],"learning":[35,103],"methods,":[36],"related":[37],"to":[38,279],"analyzing":[39],"datasets":[40,264],"with":[41,79],"large":[43],"that":[47,75,147,215],"described":[49,78],"in":[50,113,123,277],"high-dimensional":[52,81],"space,":[53],"where":[54],"not":[55,84],"all":[56,85,238,266],"have":[58,89],"provided.":[60],"For":[61],"example,":[62],"when":[63],"investigating":[64],"toxicity":[66],"chemical":[68],"compounds,":[69],"there":[70],"many":[72],"compounds":[73,88],"available":[74],"can":[76],"be":[77],"information-rich":[80],"representations,":[82],"but":[83],"information":[90],"on":[91,175,193,218,243],"their":[92,205,257],"toxicity.":[93],"To":[94,163],"address":[95],"these":[96],"challenges,":[97],"we":[98,189],"propose":[99,190],"methods":[100],"semi-supervised":[102,159],"(SSL)":[104],"feature":[106,109,152,178,254],"rankings.":[107],"rankings":[110,179,216,255],"learned":[112],"context":[115,125],"classification":[117,226],"regression,":[119,139],"as":[120,122],"well":[121],"structured":[127,160],"output":[128,161],"prediction":[129],"(multi-label":[130],"classification,":[131,135],"MLC,":[132],"hierarchical":[133],"multi-label":[134],"HMLC":[136,184,231],"multi-target":[138],"MTR)":[140],"tasks.":[141,252],"is":[143,170],"first":[145,173],"work":[146,174,247],"treats":[148],"task":[150],"ranking":[153],"uniformly":[154],"across":[155,207,260],"various":[156],"tasks":[157,182,227],"prediction.":[162],"best":[165,224,248],"our":[167],"knowledge,":[168],"it":[169],"also":[171],"SSL":[176],"MTR.":[186],"More":[187],"specifically,":[188],"two":[191],"approaches\u2014based":[192],"predictive":[194],"clustering":[195],"tree":[196],"ensembles":[197,221,241],"Relief":[200],"family":[201],"algorithms\u2014and":[203],"evaluate":[204],"performance":[206],"38":[208],"benchmark":[209],"datasets.":[210],"extensive":[212],"evaluation":[213],"reveals":[214],"based":[217,242],"Random":[219],"Forest":[220],"perform":[222],"(incl.":[228],"MLC":[229],"tasks)":[232],"fastest":[236],"tasks,":[239,270],"while":[240],"extremely":[244],"randomized":[245],"trees":[246],"regression":[251],"Semi-supervised":[253],"outperform":[256],"supervised":[258],"counterparts":[259],"majority":[262],"different":[269],"showing":[271],"benefit":[273],"using":[275],"unlabeled":[276],"addition":[278],"labeled":[280],"data.":[281]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
