{"id":"https://openalex.org/W4376629744","doi":"https://doi.org/10.3390/s23094461","title":"On the Stability and Homogeneous Ensemble of Feature Selection for Predictive Maintenance: A Classification Application for Tool Condition Monitoring in Milling","display_name":"On the Stability and Homogeneous Ensemble of Feature Selection for Predictive Maintenance: A Classification Application for Tool Condition Monitoring in Milling","publication_year":2023,"publication_date":"2023-05-03","ids":{"openalex":"https://openalex.org/W4376629744","doi":"https://doi.org/10.3390/s23094461","pmid":"https://pubmed.ncbi.nlm.nih.gov/37177665"},"language":"en","primary_location":{"id":"doi:10.3390/s23094461","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23094461","pdf_url":"https://www.mdpi.com/1424-8220/23/9/4461/pdf?version=1683181310","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/9/4461/pdf?version=1683181310","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057265712","display_name":"Maryam Assafo","orcid":"https://orcid.org/0000-0002-3924-3355"},"institutions":[{"id":"https://openalex.org/I51783024","display_name":"Brandenburg University of Technology Cottbus-Senftenberg","ror":"https://ror.org/02wxx3e24","country_code":"DE","type":"education","lineage":["https://openalex.org/I51783024"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Maryam Assafo","raw_affiliation_strings":["Department of Wireless Systems, Brandenburg University of Technology Cottbus\u2013Senftenberg, 03046 Cottbus, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Wireless Systems, Brandenburg University of Technology Cottbus\u2013Senftenberg, 03046 Cottbus, Germany","institution_ids":["https://openalex.org/I51783024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068884917","display_name":"J. Philipp St\u00e4dter","orcid":null},"institutions":[{"id":"https://openalex.org/I51783024","display_name":"Brandenburg University of Technology Cottbus-Senftenberg","ror":"https://ror.org/02wxx3e24","country_code":"DE","type":"education","lineage":["https://openalex.org/I51783024"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jost Philipp St\u00e4dter","raw_affiliation_strings":["Department of Automation Technology, Brandenburg University of Technology Cottbus\u2013Senftenberg, 03046 Cottbus, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Automation Technology, Brandenburg University of Technology Cottbus\u2013Senftenberg, 03046 Cottbus, Germany","institution_ids":["https://openalex.org/I51783024"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073776536","display_name":"Tenia Meisel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210110247","display_name":"Fraunhofer Institute for Photonic Microsystems","ror":"https://ror.org/020n3fw10","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210110247","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Tenia Meisel","raw_affiliation_strings":["Fraunhofer IPMS, 01109 Dresden, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer IPMS, 01109 Dresden, Germany","institution_ids":["https://openalex.org/I4210110247"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111235693","display_name":"Peter Langend\u00f6rfer","orcid":null},"institutions":[{"id":"https://openalex.org/I92894754","display_name":"Innovations for High Performance Microelectronics","ror":"https://ror.org/0489gab80","country_code":"DE","type":"facility","lineage":["https://openalex.org/I315704651","https://openalex.org/I92894754"]},{"id":"https://openalex.org/I51783024","display_name":"Brandenburg University of Technology Cottbus-Senftenberg","ror":"https://ror.org/02wxx3e24","country_code":"DE","type":"education","lineage":["https://openalex.org/I51783024"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Peter Langend\u00f6rfer","raw_affiliation_strings":["Department of Wireless Systems, Brandenburg University of Technology Cottbus\u2013Senftenberg, 03046 Cottbus, Germany","IHP\u2014Leibniz-Institut f\u00fcr innovative Mikroelektronik, 15236 Frankfurt, Germany"],"affiliations":[{"raw_affiliation_string":"Department of Wireless Systems, Brandenburg University of Technology Cottbus\u2013Senftenberg, 03046 Cottbus, Germany","institution_ids":["https://openalex.org/I51783024"]},{"raw_affiliation_string":"IHP\u2014Leibniz-Institut f\u00fcr innovative Mikroelektronik, 15236 Frankfurt, Germany","institution_ids":["https://openalex.org/I92894754"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5057265712"],"corresponding_institution_ids":["https://openalex.org/I51783024"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2621,"currency":"EUR","value_usd":2826},"fwci":0.6643,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63353722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"23","issue":"9","first_page":"4461","last_page":"4461"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9872000217437744,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/feature-selection","display_name":"Feature selection","score":0.6674153208732605},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6410366296768188},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6234353184700012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6032824516296387},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.54024338722229},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5356964468955994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5295344591140747},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5093327760696411},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4797288477420807},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4775141775608063},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.43128150701522827},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.42032700777053833}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6674153208732605},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6410366296768188},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6234353184700012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6032824516296387},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.54024338722229},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5356964468955994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5295344591140747},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5093327760696411},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4797288477420807},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4775141775608063},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.43128150701522827},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.42032700777053833},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.3390/s23094461","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23094461","pdf_url":"https://www.mdpi.com/1424-8220/23/9/4461/pdf?version=1683181310","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:37177665","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37177665","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10181710","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10181710","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10181710/pdf/sensors-23-04461.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"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":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:5d873d686e4446d4811604bbdada0e99","is_oa":true,"landing_page_url":"https://doaj.org/article/5d873d686e4446d4811604bbdada0e99","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 9, p 4461 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/9/4461/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23094461","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"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":"Sensors; Volume 23; Issue 9; Pages: 4461","raw_type":"Text"},{"id":"pmh:oai:publica.fraunhofer.de:publica/451879","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/451879","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"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":"journal article"}],"best_oa_location":{"id":"doi:10.3390/s23094461","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23094461","pdf_url":"https://www.mdpi.com/1424-8220/23/9/4461/pdf?version=1683181310","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15","score":0.5600000023841858}],"awards":[{"id":"https://openalex.org/G1809479307","display_name":null,"funder_award_id":"16ES1128K","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G352791218","display_name":null,"funder_award_id":"(BMBF)","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G6955755495","display_name":null,"funder_award_id":"Germany","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"},{"id":"https://openalex.org/G8055132598","display_name":null,"funder_award_id":"This work has been funded by the Federal Ministry","funder_id":"https://openalex.org/F4320321114","funder_display_name":"Bundesministerium f\u00fcr Bildung und Forschung"}],"funders":[{"id":"https://openalex.org/F4320321114","display_name":"Bundesministerium f\u00fcr Bildung und Forschung","ror":"https://ror.org/04pz7b180"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4376629744.pdf","grobid_xml":"https://content.openalex.org/works/W4376629744.grobid-xml"},"referenced_works_count":61,"referenced_works":["https://openalex.org/W1426199569","https://openalex.org/W1500895378","https://openalex.org/W1758778036","https://openalex.org/W1965846301","https://openalex.org/W1972437757","https://openalex.org/W1986631285","https://openalex.org/W2004039783","https://openalex.org/W2027595890","https://openalex.org/W2053315995","https://openalex.org/W2110260407","https://openalex.org/W2115684345","https://openalex.org/W2117004913","https://openalex.org/W2119387367","https://openalex.org/W2131987814","https://openalex.org/W2165250079","https://openalex.org/W2167101736","https://openalex.org/W2324488761","https://openalex.org/W2563097732","https://openalex.org/W2588897108","https://openalex.org/W2608839702","https://openalex.org/W2736537308","https://openalex.org/W2785962801","https://openalex.org/W2899364463","https://openalex.org/W2916168844","https://openalex.org/W2944342107","https://openalex.org/W2944364052","https://openalex.org/W2948009788","https://openalex.org/W2953097443","https://openalex.org/W2955612236","https://openalex.org/W2998014518","https://openalex.org/W2998216295","https://openalex.org/W3000120361","https://openalex.org/W3007121111","https://openalex.org/W3007559859","https://openalex.org/W3045935064","https://openalex.org/W3049635623","https://openalex.org/W3088412845","https://openalex.org/W3090279272","https://openalex.org/W3116183085","https://openalex.org/W3126667798","https://openalex.org/W3127564873","https://openalex.org/W3134795671","https://openalex.org/W3135584819","https://openalex.org/W3170729082","https://openalex.org/W3175049651","https://openalex.org/W3189372979","https://openalex.org/W3195285466","https://openalex.org/W3200061775","https://openalex.org/W3201115733","https://openalex.org/W3206781851","https://openalex.org/W3208877831","https://openalex.org/W3213059822","https://openalex.org/W4200385936","https://openalex.org/W4316035000","https://openalex.org/W4363647959","https://openalex.org/W6674632251","https://openalex.org/W6765213864","https://openalex.org/W6789653758","https://openalex.org/W6803768391","https://openalex.org/W6962789948","https://openalex.org/W7066667914"],"related_works":["https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052","https://openalex.org/W4388745254","https://openalex.org/W2980082554","https://openalex.org/W2767419625","https://openalex.org/W2156571267","https://openalex.org/W2389704471"],"abstract_inverted_index":{"Feature":[0],"selection":[1,45],"(FS)":[2],"represents":[3],"an":[4,121],"essential":[5],"step":[6],"for":[7,81,171,223],"many":[8],"machine":[9],"learning-based":[10],"predictive":[11],"maintenance":[12],"(PdM)":[13],"applications,":[14],"including":[15],"various":[16],"industrial":[17],"processes,":[18],"components,":[19],"and":[20,41,46,65,136,161,168,201,227,277],"monitoring":[21,126],"tasks.":[22],"The":[23],"selected":[24,69],"features":[25,70],"not":[26,106],"only":[27],"serve":[28],"as":[29],"inputs":[30],"to":[31,61,91,123,146],"the":[32,49,55,63,68,74,92,99,111,176,179,207,219,231,258,265,267,278,282,285],"learning":[33],"models":[34],"but":[35],"also":[36],"can":[37,237],"influence":[38],"further":[39],"decisions":[40],"analysis,":[42],"e.g.,":[43],"sensor":[44],"understandability":[47],"of":[48,67,94,98,113,165,178,213,257],"PdM":[50,56],"system.":[51],"Hence,":[52],"before":[53],"deploying":[54],"system,":[57],"it":[58],"is":[59,78,253,263],"crucial":[60],"examine":[62],"reproducibility":[64],"robustness":[66],"under":[71,102],"variations":[72,104],"in":[73,110,127,163,206,255],"input":[75],"data.":[76],"This":[77,115],"particularly":[79],"critical":[80],"real-world":[82],"datasets":[83,196],"with":[84,120],"a":[85,143],"low":[86],"sample-to-dimension":[87],"ratio":[88],"(SDR).":[89],"However,":[90],"best":[93],"our":[95,199],"knowledge,":[96],"stability":[97,167,245,262],"FS":[100,151,181,235,244],"methods":[101,236],"data":[103],"has":[105],"been":[107],"considered":[108],"yet":[109,241],"field":[112],"PdM.":[114],"paper":[116],"addresses":[117],"this":[118],"issue":[119],"application":[122],"tool":[124],"condition":[125],"milling,":[128],"where":[129],"classifiers":[130],"based":[131],"on":[132,183],"support":[133],"vector":[134],"machines":[135],"random":[137],"forest":[138],"were":[139],"employed.":[140],"We":[141],"used":[142,192],"five-fold":[144],"cross-validation":[145],"evaluate":[147],"three":[148],"popular":[149],"filter-based":[150],"methods,":[152],"namely":[153],"Fisher":[154,248],"score,":[155],"minimum":[156],"redundancy":[157],"maximum":[158],"relevance":[159],"(mRMR),":[160],"ReliefF,":[162],"terms":[164],"both":[166,184],"macro-F1.":[169],"Further,":[170],"each":[172,217],"method,":[173],"we":[174,191],"investigated":[175],"impact":[177],"homogeneous":[180],"ensemble":[182],"performance":[185],"indicators.":[186],"To":[187],"gain":[188],"broad":[189],"insights,":[190],"four":[193],"(2:2)":[194],"milling":[195],"obtained":[197],"from":[198,284],"experiments":[200],"NASA's":[202],"repository,":[203],"which":[204],"differ":[205],"operating":[208],"conditions,":[209],"sensors,":[210],"SDR,":[211],"number":[212],"classes,":[214],"etc.":[215],"For":[216],"dataset,":[218],"study":[220],"was":[221],"conducted":[222],"two":[224],"individual":[225],"sensors":[226],"their":[228],"fusion.":[229],"Among":[230],"conclusions:":[232],"(1)":[233],"Different":[234],"yield":[238],"comparable":[239],"macro-F1":[240],"considerably":[242],"different":[243,271],"values.":[246],"(2)":[247],"score":[249],"(single":[250],"and/or":[251],"ensemble)":[252],"superior":[254],"most":[256,268,283],"cases.":[259],"(3)":[260],"mRMR's":[261],"overall":[264],"lowest,":[266],"variable":[269],"over":[270],"settings":[272],"(e.g.,":[273],"sensor(s),":[274],"subset":[275],"cardinality),":[276],"one":[279],"that":[280],"benefits":[281],"ensemble.":[286]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-11T14:59:36.786465","created_date":"2025-10-10T00:00:00"}
