{"id":"https://openalex.org/W4308659765","doi":"https://doi.org/10.1109/vlsi-soc54400.2022.9939637","title":"Approximation Workflow for Energy-Efficient Comparators in Decision Tree Applications","display_name":"Approximation Workflow for Energy-Efficient Comparators in Decision Tree Applications","publication_year":2022,"publication_date":"2022-10-03","ids":{"openalex":"https://openalex.org/W4308659765","doi":"https://doi.org/10.1109/vlsi-soc54400.2022.9939637"},"language":"en","primary_location":{"id":"doi:10.1109/vlsi-soc54400.2022.9939637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc54400.2022.9939637","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 Silva","raw_affiliation_strings":["Universidade Federal de Santa Catarina - UFSC,Departamento de Informática e Estatística,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Santa Catarina - UFSC,Departamento de Informática e Estatística,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,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Santa Catarina - UFSC,Departamento de Informática e Estatística,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,Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal de Santa Catarina - UFSC,Departamento de Informática e Estatística,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":0.50987597,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"53","issue":null,"first_page":"1","last_page":"2"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T11005","display_name":"Radiation Effects in Electronics","score":0.9979000091552734,"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/T12495","display_name":"Electrostatic Discharge in Electronics","score":0.9954000115394592,"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/computer-science","display_name":"Computer science","score":0.7960257530212402},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6881647706031799},{"id":"https://openalex.org/keywords/comparator","display_name":"Comparator","score":0.6221315860748291},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5382490158081055},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.4932851195335388},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.4704177677631378},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.4290919899940491},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.40206581354141235},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3622936010360718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3579888939857483},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33643922209739685},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17318248748779297},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.10405033826828003}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7960257530212402},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6881647706031799},{"id":"https://openalex.org/C155745195","wikidata":"https://www.wikidata.org/wiki/Q1164179","display_name":"Comparator","level":3,"score":0.6221315860748291},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5382490158081055},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.4932851195335388},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4704177677631378},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.4290919899940491},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40206581354141235},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3622936010360718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3579888939857483},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33643922209739685},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17318248748779297},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.10405033826828003},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","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-soc54400.2022.9939637","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-soc54400.2022.9939637","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":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2907326340","https://openalex.org/W2952499714","https://openalex.org/W3018203643","https://openalex.org/W3089980319","https://openalex.org/W3092362650"],"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/W3204400881","https://openalex.org/W3214410901","https://openalex.org/W3204296682","https://openalex.org/W3183118997","https://openalex.org/W2917767146"],"abstract_inverted_index":{"The":[0,79],"increasing":[1],"use":[2],"of":[3,40,68,81,118],"Machine":[4],"Learning":[5],"applications":[6,117],"has":[7],"caused":[8],"a":[9,62],"high":[10],"demand":[11],"for":[12,56,64,115],"design":[13],"techniques":[14],"targeting":[15],"the":[16,66,69,82,111],"trade-off":[17,71],"between":[18],"energy":[19],"consumption":[20],"and":[21,38,51,85,97,121],"accuracy":[22,54,86],"in":[23,35,72,88],"inference":[24],"models.":[25],"In":[26],"this":[27],"scenario,":[28],"Decision":[29,119],"Trees":[30,120],"are":[31,44,91],"models":[32,75],"widely":[33],"used":[34,104],"embedded":[36],"systems":[37],"Internet":[39],"Things":[41],"applications.":[42],"They":[43],"less":[45],"resource":[46],"intensive":[47],"than":[48],"Neural":[49],"Networks,":[50],"maintain":[52],"acceptable":[53],"results":[55,80],"various":[57],"problems.":[58],"This":[59,100],"project":[60],"proposes":[61],"framework":[63],"evaluating":[65],"improvement":[67],"power-accuracy":[70,107],"decision":[73],"tree":[74],"using":[76],"approximate":[77],"circuits.":[78],"electrical":[83],"evaluation":[84],"provided":[87],"each":[89],"step":[90],"obtained":[92],"by":[93],"applying":[94],"different":[95,116],"approximation":[96],"quantization":[98],"techniques.":[99],"information":[101],"can":[102],"be":[103],"together":[105],"with":[106],"metrics":[108],"to":[109],"find":[110],"best":[112],"comparator":[113],"circuits":[114],"dedicated":[122],"hardware":[123],"requirements.":[124]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}