{"id":"https://openalex.org/W2995022157","doi":"https://doi.org/10.1145/3368926.3369663","title":"Unsupervised pregnancy and physical activity detection in mammals using circadian rhythms","display_name":"Unsupervised pregnancy and physical activity detection in mammals using circadian rhythms","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2995022157","doi":"https://doi.org/10.1145/3368926.3369663","mag":"2995022157"},"language":"en","primary_location":{"id":"doi:10.1145/3368926.3369663","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3368926.3369663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth International Symposium on Information and Communication Technology - SoICT 2019","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/A5082494661","display_name":"Marco Tumaini","orcid":null},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Marco Tumaini","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong SAR","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100740023","display_name":"Jiannong Cao","orcid":"https://orcid.org/0000-0002-2725-2529"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jiannong Cao","raw_affiliation_strings":["Department of Computing, The Hong Kong Polytechnic University, Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"Department of Computing, The Hong Kong Polytechnic University, Hong Kong SAR","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080364797","display_name":"Milo\u0161 Stojmenovi\u0107","orcid":"https://orcid.org/0000-0001-6279-2988"},"institutions":[{"id":"https://openalex.org/I170253739","display_name":"Singidunum University","ror":"https://ror.org/017v7rz39","country_code":"RS","type":"education","lineage":["https://openalex.org/I170253739"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Milos Stojmenovic","raw_affiliation_strings":["Department of Computing, Singidunum University, Belgrade, Serbia"],"affiliations":[{"raw_affiliation_string":"Department of Computing, Singidunum University, Belgrade, Serbia","institution_ids":["https://openalex.org/I170253739"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082494661"],"corresponding_institution_ids":["https://openalex.org/I14243506"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14583333,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"350","last_page":"356"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10342","display_name":"Circadian rhythm and melatonin","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2807","display_name":"Endocrine and Autonomic Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10342","display_name":"Circadian rhythm and melatonin","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/2807","display_name":"Endocrine and Autonomic Systems"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11457","display_name":"Adipose Tissue and Metabolism","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11541","display_name":"Neuroendocrine regulation and behavior","score":0.9815999865531921,"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/circadian-rhythm","display_name":"Circadian rhythm","score":0.9090029001235962},{"id":"https://openalex.org/keywords/rhythm","display_name":"Rhythm","score":0.6501883268356323},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44068199396133423},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.42137232422828674},{"id":"https://openalex.org/keywords/chronobiology","display_name":"Chronobiology","score":0.419908344745636},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.37205591797828674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36239808797836304},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.3256221413612366},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2769690752029419},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15708455443382263}],"concepts":[{"id":"https://openalex.org/C121446783","wikidata":"https://www.wikidata.org/wiki/Q208353","display_name":"Circadian rhythm","level":2,"score":0.9090029001235962},{"id":"https://openalex.org/C135343436","wikidata":"https://www.wikidata.org/wiki/Q170406","display_name":"Rhythm","level":2,"score":0.6501883268356323},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44068199396133423},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.42137232422828674},{"id":"https://openalex.org/C187765855","wikidata":"https://www.wikidata.org/wiki/Q506874","display_name":"Chronobiology","level":3,"score":0.419908344745636},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.37205591797828674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36239808797836304},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.3256221413612366},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2769690752029419},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15708455443382263}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3368926.3369663","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3368926.3369663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Tenth International Symposium on Information and Communication Technology - SoICT 2019","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W70337943","https://openalex.org/W202057335","https://openalex.org/W306662213","https://openalex.org/W1029488735","https://openalex.org/W1553407966","https://openalex.org/W1620414136","https://openalex.org/W1946821115","https://openalex.org/W1981489761","https://openalex.org/W1984118938","https://openalex.org/W1984912966","https://openalex.org/W1997118423","https://openalex.org/W2011749916","https://openalex.org/W2012034220","https://openalex.org/W2054780155","https://openalex.org/W2060233269","https://openalex.org/W2064407236","https://openalex.org/W2065157050","https://openalex.org/W2086235287","https://openalex.org/W2106884373","https://openalex.org/W2117911564","https://openalex.org/W2135619075","https://openalex.org/W2149498546","https://openalex.org/W2163922914","https://openalex.org/W2287900721","https://openalex.org/W2436099095","https://openalex.org/W2489624696","https://openalex.org/W2490131318","https://openalex.org/W2510596926","https://openalex.org/W2514521151","https://openalex.org/W2551231535","https://openalex.org/W2552081219","https://openalex.org/W2554847760","https://openalex.org/W2556662607","https://openalex.org/W2562802763","https://openalex.org/W2585680505","https://openalex.org/W2745302895","https://openalex.org/W2752186802","https://openalex.org/W2779295427","https://openalex.org/W3000307165","https://openalex.org/W4233518571"],"related_works":["https://openalex.org/W2072492413","https://openalex.org/W2997159972","https://openalex.org/W639450000","https://openalex.org/W4296378967","https://openalex.org/W2064134577","https://openalex.org/W2373995729","https://openalex.org/W2092146436","https://openalex.org/W1577140614","https://openalex.org/W2154070128","https://openalex.org/W2463103276"],"abstract_inverted_index":{"Circadian":[0],"rhythms":[1,17,130],"are":[2,18,21],"daily":[3],"cyclical":[4,244],"biological":[5],"processes":[6],"expressed":[7],"in":[8,121,144,161],"almost":[9],"all":[10],"tissues":[11],"throughout":[12],"the":[13,48,59,77,115,190],"body.":[14,49],"While":[15],"circadian":[16,56,91,98,129],"endogenous,":[19],"they":[20],"affected":[22],"and":[23,37,45,58,69,149,163,177,182,193,200,213],"possibly":[24],"modified":[25],"by":[26],"external":[27,70],"factors":[28,42],"ranging":[29],"from":[30,63,101,132,189],"light":[31],"exposure,":[32],"activity":[33,160,204],"levels,":[34],"food":[35],"intake,":[36],"temperature":[38,135],"adjustments,":[39],"to":[40,75,85,114,141,152,224,236],"other":[41,237],"both":[43],"inside":[44],"outside":[46],"of":[47,54,79,88,158,180,202,239],"Providing":[50],"a":[51,80,86,194,220],"clear":[52],"representation":[53],"our":[55,66,197],"system":[57],"related":[60,113],"disturbances":[61],"derived":[62,131],"misalignments":[64],"between":[65,196],"internal":[67],"clock":[68],"stimuli":[71],"may":[72],"enable":[73],"us":[74],"associate":[76],"insurgence":[78],"specific":[81],"disease":[82,116],"or":[83,117],"condition":[84,118],"modification":[87],"an":[89,96,122,175],"established":[90],"rhythm.":[92],"We":[93],"examine":[94],"if":[95],"individual's":[97],"rhythm,":[99],"assembled":[100],"ubiquitous":[102],"physiological":[103],"data":[104,136,205],"such":[105],"as":[106,154,156],"core":[107,133],"body":[108,134],"temperature,":[109],"can":[110,137,171,233],"uncover":[111],"anomalies":[112],"being":[119],"addressed":[120],"unsupervised":[123,231],"fashion.":[124],"Here,":[125],"we":[126,217],"show":[127],"that":[128,147,242],"successfully":[138],"be":[139,172,234],"employed":[140],"classify":[142],"pregnancies":[143],"laboratory":[145],"mice":[146],"will":[148],"won't":[150],"come":[151],"term,":[153],"well":[155],"states":[157],"low/high":[159],"goats":[162],"sheep":[164],"without":[165],"using":[166],"labelled":[167],"data.":[168],"Our":[169,230],"algorithm":[170],"used":[173],"for":[174],"efficient":[176],"fast":[178],"visualization":[179],"successful":[181],"unsuccessful":[183],"pregnancy":[184],"status,":[185],"within":[186],"1":[187],"day":[188],"pairing":[191],"episode,":[192],"comparison":[195],"component":[198],"mapping":[199],"bipartition":[201],"raw":[203],"yielded":[206],"84%":[207,211],"accuracy,":[208],"30%":[209],"precision,":[210],"recall,":[212],"42%":[214],"F-score.":[215],"Furthermore,":[216],"have":[218],"proposed":[219],"new":[221],"graph":[222],"type":[223],"display":[225],"these":[226],"aforementioned":[227],"components:":[228],"C-lock.":[229],"approach":[232],"applied":[235],"types":[238],"unlabeled":[240],"datasets":[241],"exhibit":[243],"behavior.":[245]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
