{"id":"https://openalex.org/W2862362254","doi":"https://doi.org/10.1145/3200947.3201033","title":"A Semi-supervised regressor based on model trees","display_name":"A Semi-supervised regressor based on model trees","publication_year":2018,"publication_date":"2018-07-06","ids":{"openalex":"https://openalex.org/W2862362254","doi":"https://doi.org/10.1145/3200947.3201033","mag":"2862362254"},"language":"en","primary_location":{"id":"doi:10.1145/3200947.3201033","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3200947.3201033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th Hellenic Conference on Artificial Intelligence","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061070955","display_name":"Nikos Fazakis","orcid":"https://orcid.org/0000-0001-7687-2380"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Nikos Fazakis","raw_affiliation_strings":["University of Patras - Department of Electrical and Computer Engineering, Rio Achaia, Greece"],"affiliations":[{"raw_affiliation_string":"University of Patras - Department of Electrical and Computer Engineering, Rio Achaia, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073119708","display_name":"Stamatis Karlos","orcid":"https://orcid.org/0000-0002-5307-6186"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Stamatis Karlos","raw_affiliation_strings":["University of Patras - Department of Mathematics, Rio Achaia, Greece"],"affiliations":[{"raw_affiliation_string":"University of Patras - Department of Mathematics, Rio Achaia, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066370772","display_name":"Sotiris Kotsiantis","orcid":"https://orcid.org/0000-0002-2247-3082"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Sotiris Kotsiantis","raw_affiliation_strings":["University of Patras - Department of Mathematics, Rio Achaia, Greece"],"affiliations":[{"raw_affiliation_string":"University of Patras - Department of Mathematics, Rio Achaia, Greece","institution_ids":["https://openalex.org/I174878644"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012058127","display_name":"Kyriakos Sgarbas","orcid":"https://orcid.org/0000-0002-1797-1343"},"institutions":[{"id":"https://openalex.org/I174878644","display_name":"University of Patras","ror":"https://ror.org/017wvtq80","country_code":"GR","type":"education","lineage":["https://openalex.org/I174878644"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Kyriakos Sgarbas","raw_affiliation_strings":["University of Patras - Department of Electrical and Computer Engineering, Rio Achaia, Greece"],"affiliations":[{"raw_affiliation_string":"University of Patras - Department of Electrical and Computer Engineering, Rio Achaia, Greece","institution_ids":["https://openalex.org/I174878644"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5061070955"],"corresponding_institution_ids":["https://openalex.org/I174878644"],"apc_list":null,"apc_paid":null,"fwci":0.1629,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57728185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965000152587891,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9965000152587891,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9921000003814697,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9914000034332275,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7586096525192261},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7476006746292114},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6927400231361389},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6596375107765198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.625749945640564},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.5815107822418213},{"id":"https://openalex.org/keywords/economic-shortage","display_name":"Economic shortage","score":0.5119386911392212},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.429691344499588}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7586096525192261},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7476006746292114},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6927400231361389},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6596375107765198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.625749945640564},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.5815107822418213},{"id":"https://openalex.org/C194051981","wikidata":"https://www.wikidata.org/wiki/Q1337691","display_name":"Economic shortage","level":3,"score":0.5119386911392212},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.429691344499588},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3200947.3201033","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3200947.3201033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th Hellenic Conference on Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.6000000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321917","display_name":"General Secretariat for Research and Technology","ror":"https://ror.org/04yeh8h63"},{"id":"https://openalex.org/F4320327859","display_name":"Hellenic Foundation for Research and Innovation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1986049918","https://openalex.org/W1992239190","https://openalex.org/W2037187889","https://openalex.org/W2048679005","https://openalex.org/W2051808336","https://openalex.org/W2070493638","https://openalex.org/W2100185540","https://openalex.org/W2101210369","https://openalex.org/W2104290444","https://openalex.org/W2150757437","https://openalex.org/W2211023848","https://openalex.org/W2238134912","https://openalex.org/W2280751535","https://openalex.org/W2585528949","https://openalex.org/W2604472421","https://openalex.org/W2742330194","https://openalex.org/W2783529991","https://openalex.org/W2997701990","https://openalex.org/W4212883601","https://openalex.org/W4245973528","https://openalex.org/W4248018214","https://openalex.org/W4285719527","https://openalex.org/W6602375370","https://openalex.org/W6628746421","https://openalex.org/W6662528715","https://openalex.org/W6676855791","https://openalex.org/W6732568331"],"related_works":["https://openalex.org/W2579473328","https://openalex.org/W2509147714","https://openalex.org/W4239898203","https://openalex.org/W2586833044","https://openalex.org/W2603666417","https://openalex.org/W46955353","https://openalex.org/W2315021981","https://openalex.org/W3136871737","https://openalex.org/W2558685994","https://openalex.org/W4390860632"],"abstract_inverted_index":{"Plenty":[0],"of":[1,16,22,56,66,82,95,108,120,145],"Machine":[2],"Learning":[3],"(ML)":[4],"approaches":[5],"have":[6],"been":[7,70],"applied":[8],"all":[9],"these":[10],"years":[11],"over":[12,36,92],"a":[13,109,148],"great":[14],"variety":[15],"tasks,":[17],"leading":[18],"to":[19,32,77],"several":[20],"kind":[21],"algorithms":[23],"that":[24,38,48,103],"face":[25],"efficiently":[26],"specific":[27],"problems.":[28],"However,":[29],"their":[30,53],"inability":[31],"generalize":[33],"well":[34,131],"enough":[35,132,143],"data":[37,67,122],"stem":[39],"from":[40],"more":[41],"generic":[42],"sources":[43],"or":[44],"other":[45],"specialized":[46],"occasions":[47],"are":[49],"not":[50],"connected":[51],"with":[52],"initial":[54],"field":[55],"interest,":[57],"still":[58],"remains":[59],"an":[60,99],"open":[61],"issue.":[62],"Thus,":[63,98],"the":[64,79,83,106,115,128,141],"interest":[65],"scientists":[68],"has":[69],"shifted":[71],"towards":[72],"ensemble":[73,100],"learners,":[74],"which":[75,118],"try":[76],"leverage":[78],"predictive":[80,133],"behavior":[81,134],"contained":[84],"algorithms,":[85],"offering":[86,126],"improved":[87],"learning":[88],"performance":[89],"and":[90],"robustness":[91],"wide":[93],"spectrum":[94],"posed":[96],"implications.":[97],"semi-supervised":[101],"regressor":[102],"operates":[104],"under":[105,117],"presence":[107],"few":[110],"examples":[111],"is":[112,123],"presented,":[113],"covering":[114],"applications":[116],"shortage":[119],"labeled":[121],"usually":[124],"met,":[125],"at":[127],"same":[129],"time":[130],"without":[135],"spending":[136],"much":[137],"computational":[138],"time,":[139],"since":[140],"fast":[142],"algorithm":[144],"M5":[146],"plays":[147],"crucial":[149],"role.":[150]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
