{"id":"https://openalex.org/W4308659737","doi":"https://doi.org/10.1109/vlsi-soc54400.2022.9939599","title":"Exploring Approximate Comparator Circuits on Power Efficient Design of Decision Trees","display_name":"Exploring Approximate Comparator Circuits on Power Efficient Design of Decision Trees","publication_year":2022,"publication_date":"2022-10-03","ids":{"openalex":"https://openalex.org/W4308659737","doi":"https://doi.org/10.1109/vlsi-soc54400.2022.9939599"},"language":"en","primary_location":{"id":"doi:10.1109/vlsi-soc54400.2022.9939599","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc54400.2022.9939599","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103189148","display_name":"Pedro Silva","orcid":"https://orcid.org/0000-0003-1769-3221"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Pedro Aquino Silva","raw_affiliation_strings":["Universidade Federal de Santa Catarina (UFSC),Departamento de Informática e Estatística - PPGCC,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Santa Catarina (UFSC),Departamento de Informática e Estatística - PPGCC,Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016210524","display_name":"Mateus Grellert","orcid":"https://orcid.org/0000-0003-0600-7054"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Mateus Grellert","raw_affiliation_strings":["Universidade Federal de Santa Catarina (UFSC),Departamento de Informática e Estatística - PPGCC,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Santa Catarina (UFSC),Departamento de Informática e Estatística - PPGCC,Brazil","institution_ids":["https://openalex.org/I4104125"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016825373","display_name":"Cristina Meinhardt","orcid":"https://orcid.org/0000-0003-1088-1000"},"institutions":[{"id":"https://openalex.org/I4104125","display_name":"Universidade Federal de Santa Catarina","ror":"https://ror.org/041akq887","country_code":"BR","type":"education","lineage":["https://openalex.org/I4104125"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Cristina Meinhardt","raw_affiliation_strings":["Universidade Federal de Santa Catarina (UFSC),Departamento de Informática e Estatística - PPGCC,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Santa Catarina (UFSC),Departamento de Informática e Estatística - PPGCC,Brazil","institution_ids":["https://openalex.org/I4104125"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4104125"],"apc_list":null,"apc_paid":null,"fwci":0.413,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.50986047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10363","display_name":"Low-power high-performance VLSI design","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10363","display_name":"Low-power high-performance VLSI design","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10323","display_name":"Analog and Mixed-Signal Circuit Design","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/comparator","display_name":"Comparator","score":0.9223096966743469},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7115418910980225},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6647218465805054},{"id":"https://openalex.org/keywords/electronic-circuit","display_name":"Electronic circuit","score":0.488357275724411},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4778675436973572},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.45214658975601196},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.42459583282470703},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.350525826215744},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.3215673565864563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.307824969291687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.25337445735931396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23488861322402954},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1398845613002777},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12290239334106445},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.09755876660346985}],"concepts":[{"id":"https://openalex.org/C155745195","wikidata":"https://www.wikidata.org/wiki/Q1164179","display_name":"Comparator","level":3,"score":0.9223096966743469},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7115418910980225},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6647218465805054},{"id":"https://openalex.org/C134146338","wikidata":"https://www.wikidata.org/wiki/Q1815901","display_name":"Electronic circuit","level":2,"score":0.488357275724411},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4778675436973572},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.45214658975601196},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.42459583282470703},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.350525826215744},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.3215673565864563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.307824969291687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.25337445735931396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23488861322402954},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1398845613002777},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12290239334106445},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.09755876660346985},{"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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":1,"locations":[{"id":"doi:10.1109/vlsi-soc54400.2022.9939599","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc54400.2022.9939599","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration (VLSI-SoC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2033110821","https://openalex.org/W2053586955","https://openalex.org/W2072750586","https://openalex.org/W2125055259","https://openalex.org/W2240396526","https://openalex.org/W2346205343","https://openalex.org/W2406036495","https://openalex.org/W2732951378","https://openalex.org/W2760220936","https://openalex.org/W2810365475","https://openalex.org/W2811458562","https://openalex.org/W2907326340","https://openalex.org/W2931804220","https://openalex.org/W2952499714","https://openalex.org/W3089980319","https://openalex.org/W3093859587","https://openalex.org/W3113785634","https://openalex.org/W3120740533","https://openalex.org/W3139169234","https://openalex.org/W3141620748","https://openalex.org/W4238240456","https://openalex.org/W6740159687"],"related_works":["https://openalex.org/W2034349229","https://openalex.org/W4366783034","https://openalex.org/W1972415042","https://openalex.org/W4313221225","https://openalex.org/W2150642609","https://openalex.org/W2005410346","https://openalex.org/W4306816370","https://openalex.org/W2189390720","https://openalex.org/W2390229089","https://openalex.org/W2951548045"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"Approximate":[3],"Computing":[4],"has":[5,26],"been":[6],"gaining":[7],"space":[8],"as":[9],"a":[10,87],"technique":[11],"for":[12,35,57],"tackling":[13],"energy":[14,107],"requirements":[15],"in":[16,37,75,86,109,127],"error-resilient":[17],"applications,":[18,46,112],"while":[19,123],"the":[20,106,119,131],"usage":[21],"of":[22,64],"Machine":[23],"Learning":[24],"systems":[25],"steadily":[27],"increased.":[28],"This":[29],"work":[30],"explores":[31],"two":[32],"different":[33,69],"approaches":[34],"approximation":[36],"comparator":[38,103],"circuits":[39,72],"and":[40,49,95],"their":[41],"impact":[42],"on":[43],"Decision":[44,88,110],"Tree":[45,89,111],"observing":[47],"power":[48,120],"accuracy":[50,128],"metrics.":[51],"Two":[52],"gate-level":[53],"architectures":[54],"are":[55],"proposed":[56,104],"dedicated":[58],"comparators,":[59],"approximating":[60],"25%":[61,100],"or":[62],"50%":[63],"least":[65],"significant":[66],"bits":[67],"using":[68,92],"techniques.":[70],"The":[71,80,99],"were":[73,83],"described":[74],"7":[76],"nm":[77],"FinFET":[78],"technology.":[79],"approximate":[81,102],"comparators":[82],"then":[84],"evaluated":[85],"classification":[90],"model":[91],"five":[93],"continuous":[94],"mixed":[96],"attribute":[97],"datasets.":[98],"LSB":[101],"improves":[105],"efficiency":[108],"reducing":[113],"from":[114],"12%":[115],"up":[116],"to":[117,130],"84%":[118],"per":[121],"inference":[122],"presenting":[124],"minor":[125],"deviations":[126],"compared":[129],"exact":[132],"baseline.":[133]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}