{"id":"https://openalex.org/W4310881817","doi":"https://doi.org/10.1145/3563357.3567406","title":"Focus on what matters","display_name":"Focus on what matters","publication_year":2022,"publication_date":"2022-11-09","ids":{"openalex":"https://openalex.org/W4310881817","doi":"https://doi.org/10.1145/3563357.3567406"},"language":"en","primary_location":{"id":"doi:10.1145/3563357.3567406","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3563357.3567406","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3563357.3567406","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3563357.3567406","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049561647","display_name":"Md Shajalal","orcid":"https://orcid.org/0000-0002-9011-708X"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]},{"id":"https://openalex.org/I4210110507","display_name":"Fraunhofer Institute for Applied Information Technology","ror":"https://ror.org/01ak24c12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210110507","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Md Shajalal","raw_affiliation_strings":["Fraunhofer FIT &amp; University of Siegen, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer FIT &amp; University of Siegen, Germany","institution_ids":["https://openalex.org/I206895457","https://openalex.org/I4210110507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073091623","display_name":"Milad Bohlouli","orcid":null},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Milad Bohlouli","raw_affiliation_strings":["University of Siegen, Germany"],"affiliations":[{"raw_affiliation_string":"University of Siegen, Germany","institution_ids":["https://openalex.org/I206895457"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056412412","display_name":"H. Das","orcid":"https://orcid.org/0000-0002-3335-2622"},"institutions":[{"id":"https://openalex.org/I2803209242","display_name":"University of California System","ror":"https://ror.org/00pjdza24","country_code":"US","type":"education","lineage":["https://openalex.org/I2803209242"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hari Prasanna Das","raw_affiliation_strings":["University of California"],"affiliations":[{"raw_affiliation_string":"University of California","institution_ids":["https://openalex.org/I2803209242"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035360214","display_name":"Alexander Boden","orcid":"https://orcid.org/0000-0002-6470-1151"},"institutions":[{"id":"https://openalex.org/I4210110507","display_name":"Fraunhofer Institute for Applied Information Technology","ror":"https://ror.org/01ak24c12","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210110507","https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Alexander Boden","raw_affiliation_strings":["Fraunhofer FIT &amp; H-BRS, Germany"],"affiliations":[{"raw_affiliation_string":"Fraunhofer FIT &amp; H-BRS, Germany","institution_ids":["https://openalex.org/I4210110507"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001665434","display_name":"Gunnar Stevens","orcid":"https://orcid.org/0000-0002-7785-5061"},"institutions":[{"id":"https://openalex.org/I206895457","display_name":"University of Siegen","ror":"https://ror.org/02azyry73","country_code":"DE","type":"education","lineage":["https://openalex.org/I206895457"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gunnar Stevens","raw_affiliation_strings":["University of Siegen &amp; H-BRS, Germany"],"affiliations":[{"raw_affiliation_string":"University of Siegen &amp; H-BRS, Germany","institution_ids":["https://openalex.org/I206895457"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5049561647"],"corresponding_institution_ids":["https://openalex.org/I206895457","https://openalex.org/I4210110507"],"apc_list":null,"apc_paid":null,"fwci":0.5398,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.63285896,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"496","last_page":"499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10121","display_name":"Building Energy and Comfort Optimization","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10766","display_name":"Urban Heat Island Mitigation","score":0.9871000051498413,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9172999858856201,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.741453230381012},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7369204759597778},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.641404390335083},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.619864821434021},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6018972992897034},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5996007919311523},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5325735211372375},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.416599839925766},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36876702308654785},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07993292808532715}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741453230381012},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7369204759597778},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.641404390335083},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.619864821434021},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6018972992897034},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5996007919311523},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5325735211372375},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.416599839925766},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36876702308654785},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07993292808532715},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3563357.3567406","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3563357.3567406","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3563357.3567406","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},{"id":"pmh:oai:publica.fraunhofer.de:publica/446073","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/446073","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":"conference paper"}],"best_oa_location":{"id":"doi:10.1145/3563357.3567406","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3563357.3567406","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3563357.3567406","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4310881817.pdf","grobid_xml":"https://content.openalex.org/works/W4310881817.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W2033726393","https://openalex.org/W2102831150","https://openalex.org/W2765483503","https://openalex.org/W2900527476","https://openalex.org/W2910602795","https://openalex.org/W2962212997","https://openalex.org/W3022491017","https://openalex.org/W3023577218","https://openalex.org/W3048913341","https://openalex.org/W3107425599","https://openalex.org/W3130041319","https://openalex.org/W3181530645","https://openalex.org/W3209732182","https://openalex.org/W3213330037","https://openalex.org/W3215757608","https://openalex.org/W4283264750"],"related_works":["https://openalex.org/W2012531322","https://openalex.org/W2402761219","https://openalex.org/W2785900585","https://openalex.org/W2353730437","https://openalex.org/W2490303674","https://openalex.org/W2090624569","https://openalex.org/W2609066826","https://openalex.org/W2810752900","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Occupants'":[0],"personal":[1],"thermal":[2,80],"comfort":[3],"(PTC)":[4],"is":[5],"indispensable":[6],"for":[7,33,47],"their":[8],"well-being,":[9],"physical":[10],"and":[11,14,123],"mental":[12],"health,":[13],"work":[15],"efficiency.":[16],"Predicting":[17],"PTC":[18,49,90,107],"preferences":[19],"in":[20,117],"a":[21,26,35,53,88],"smart":[22],"home":[23],"can":[24],"be":[25],"prerequisite":[27],"to":[28,70,77],"adjusting":[29],"the":[30,72,79,93,96,126],"indoor":[31],"temperature":[32],"providing":[34],"comfortable":[36],"environment.":[37],"In":[38,104],"this":[39],"research,":[40],"we":[41,101],"focus":[42],"on":[43,87],"identifying":[44],"relevant":[45],"features":[46,76],"predicting":[48],"preferences.":[50],"We":[51,64],"propose":[52],"machine":[54],"learning-based":[55],"predictive":[56],"framework":[57,109],"by":[58],"employing":[59],"supervised":[60],"feature":[61,67,97,111],"selection":[62,68,98,112],"techniques.":[63],"apply":[65],"two":[66],"techniques":[69,99,113],"select":[71],"optimal":[73],"sets":[74],"of":[75,95,119],"improve":[78],"preference":[81],"prediction":[82,108],"performance.":[83],"The":[84],"experimental":[85],"results":[86],"public":[89],"dataset":[91],"demonstrated":[92],"efficiency":[94],"that":[100],"have":[102],"applied.":[103],"turn,":[105],"our":[106],"with":[110],"achieved":[114],"state-of-the-art":[115],"performance":[116],"terms":[118],"accuracy,":[120],"Cohen's":[121],"kappa,":[122],"area":[124],"under":[125],"curve":[127],"(AUC),":[128],"outperforming":[129],"conventional":[130],"methods.":[131]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2022-12-20T00:00:00"}
