{"id":"https://openalex.org/W3202491714","doi":"https://doi.org/10.1145/3477244.3477618","title":"Performance analysis and optimization of decision tree classifiers on embedded devices","display_name":"Performance analysis and optimization of decision tree classifiers on embedded devices","publication_year":2021,"publication_date":"2021-09-30","ids":{"openalex":"https://openalex.org/W3202491714","doi":"https://doi.org/10.1145/3477244.3477618","mag":"3202491714"},"language":"en","primary_location":{"id":"doi:10.1145/3477244.3477618","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477244.3477618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Embedded Software","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/A5028749525","display_name":"Anish Krishnakumar","orcid":"https://orcid.org/0000-0003-2419-1860"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Anish Krishnakumar","raw_affiliation_strings":["University of Wisconsin-Madison"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084255924","display_name":"\u00dcmit Y. Ogras","orcid":"https://orcid.org/0000-0002-5045-5535"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Umit Y. Ogras","raw_affiliation_strings":["University of Wisconsin-Madison"],"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028749525"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":0.2719,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.63617736,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"38"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.9803000092506409,"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/T10320","display_name":"Neural Networks and Applications","score":0.9803000092506409,"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/T11005","display_name":"Radiation Effects in Electronics","score":0.9769999980926514,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.972000002861023,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8543096780776978},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7880750894546509},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.7459653615951538},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4837915599346161},{"id":"https://openalex.org/keywords/parallelism","display_name":"Parallelism (grammar)","score":0.4606509208679199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43997693061828613},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3884236514568329},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.35299986600875854},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.340098112821579},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2627398371696472}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8543096780776978},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7880750894546509},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.7459653615951538},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4837915599346161},{"id":"https://openalex.org/C2781172179","wikidata":"https://www.wikidata.org/wiki/Q853109","display_name":"Parallelism (grammar)","level":2,"score":0.4606509208679199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43997693061828613},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3884236514568329},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.35299986600875854},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.340098112821579},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2627398371696472},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477244.3477618","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477244.3477618","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2021 International Conference on Embedded Software","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G599699146","display_name":null,"funder_award_id":"FA8650-18-2-7860","funder_id":"https://openalex.org/F4320332180","funder_display_name":"Defense Advanced Research Projects Agency"}],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2036058739","https://openalex.org/W2107307723","https://openalex.org/W2286365479","https://openalex.org/W2997591727","https://openalex.org/W3042269251"],"related_works":["https://openalex.org/W2045183646","https://openalex.org/W2162409446","https://openalex.org/W2109463584","https://openalex.org/W2504075107","https://openalex.org/W2354058185","https://openalex.org/W3014500535","https://openalex.org/W2319812372","https://openalex.org/W1482096554","https://openalex.org/W4386557346","https://openalex.org/W2389274008"],"abstract_inverted_index":{"Decision":[0],"trees":[1],"(DTs)":[2],"offer":[3],"a":[4],"popular":[5],"implementation":[6],"choice":[7],"for":[8,45,55,76,88,95],"machine":[9],"learning":[10],"classifiers":[11],"since":[12],"they":[13,51,68],"are":[14,52],"highly":[15,93],"interpretable":[16],"and":[17,35],"easy":[18],"to":[19,31,47,60],"use.":[20],"Resource":[21],"management":[22],"decision":[23,77],"overheads":[24,64],"must":[25],"be":[26],"minimal":[27],"in":[28,97],"embedded":[29,98],"systems":[30],"meet":[32,48],"latency":[33,49,57],"targets":[34],"deadline":[36],"constraints.":[37],"While":[38],"the":[39,66],"literature":[40],"has":[41],"preferred":[42],"hardware":[43],"architectures":[44],"DTs":[46,81],"targets,":[50],"not":[53],"suitable":[54,94],"ultra-low":[56],"applications":[58],"due":[59],"their":[61],"data":[62],"movement":[63],"despite":[65],"parallelism":[67],"offer.":[69],"Therefore,":[70],"we":[71],"propose":[72],"software":[73],"optimization":[74],"techniques":[75],"trees.":[78],"The":[79],"proposed":[80],"achieve":[82],"lower":[83],"than":[84],"50":[85],"ns":[86],"latencies":[87],"depth":[89],"12,":[90],"making":[91],"them":[92],"classification":[96],"resource":[99],"management.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
