{"id":"https://openalex.org/W3003362442","doi":"https://doi.org/10.1145/3373017.3373058","title":"Computationally Efficient Epileptic Seizure Prediction based on Extremely Randomised Trees","display_name":"Computationally Efficient Epileptic Seizure Prediction based on Extremely Randomised Trees","publication_year":2020,"publication_date":"2020-01-30","ids":{"openalex":"https://openalex.org/W3003362442","doi":"https://doi.org/10.1145/3373017.3373058","mag":"3003362442"},"language":"en","primary_location":{"id":"doi:10.1145/3373017.3373058","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373017.3373058","pdf_url":null,"source":{"id":"https://openalex.org/S4306524001","display_name":"Proceedings of the Australasian Computer Science Week Multiconference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Australasian Computer Science Week Multiconference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Computationally_Efficient_Epileptic_Seizure_Prediction_based_on_Extremely_Randomised_Trees/26343757","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021806060","display_name":"Sheng Wong","orcid":"https://orcid.org/0000-0001-7444-1405"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]},{"id":"https://openalex.org/I2801239119","display_name":"Australian Regenerative Medicine Institute","ror":"https://ror.org/02qa5kg76","country_code":"AU","type":"facility","lineage":["https://openalex.org/I2801037857","https://openalex.org/I2801239119","https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Sheng Wong","raw_affiliation_strings":["Monash University"],"affiliations":[{"raw_affiliation_string":"Monash University","institution_ids":["https://openalex.org/I2801239119","https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069146692","display_name":"Levin Kuhlmann","orcid":"https://orcid.org/0000-0002-5108-6348"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]},{"id":"https://openalex.org/I2801239119","display_name":"Australian Regenerative Medicine Institute","ror":"https://ror.org/02qa5kg76","country_code":"AU","type":"facility","lineage":["https://openalex.org/I2801037857","https://openalex.org/I2801239119","https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Levin Kuhlmann","raw_affiliation_strings":["Monash University"],"affiliations":[{"raw_affiliation_string":"Monash University","institution_ids":["https://openalex.org/I2801239119","https://openalex.org/I56590836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021806060"],"corresponding_institution_ids":["https://openalex.org/I2801239119","https://openalex.org/I56590836"],"apc_list":null,"apc_paid":null,"fwci":0.6819,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65733181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":1.0,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"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/T10094","display_name":"Epilepsy research and treatment","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2738","display_name":"Psychiatry and Mental health"},"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/T11447","display_name":"Blind Source Separation Techniques","score":0.9897000193595886,"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":0.6767826080322266},{"id":"https://openalex.org/keywords/epilepsy","display_name":"Epilepsy","score":0.6360436677932739},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.5951260924339294},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5844094753265381},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.5380961298942566},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.46811240911483765},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.46088504791259766},{"id":"https://openalex.org/keywords/predictive-power","display_name":"Predictive power","score":0.45163992047309875},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4382103681564331},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4327477812767029},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4178139865398407},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4148479104042053},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.30808109045028687},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13451778888702393},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1202843189239502}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6767826080322266},{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.6360436677932739},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.5951260924339294},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5844094753265381},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.5380961298942566},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.46811240911483765},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.46088504791259766},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.45163992047309875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4382103681564331},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4327477812767029},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4178139865398407},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4148479104042053},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30808109045028687},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13451778888702393},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1202843189239502},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3373017.3373058","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3373017.3373058","pdf_url":null,"source":{"id":"https://openalex.org/S4306524001","display_name":"Proceedings of the Australasian Computer Science Week Multiconference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Australasian Computer Science Week Multiconference","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/26343757","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Computationally_Efficient_Epileptic_Seizure_Prediction_based_on_Extremely_Randomised_Trees/26343757","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/26343757","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Computationally_Efficient_Epileptic_Seizure_Prediction_based_on_Extremely_Randomised_Trees/26343757","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2016854448","https://openalex.org/W2056132907","https://openalex.org/W2088222765","https://openalex.org/W2120853742","https://openalex.org/W2169178923","https://openalex.org/W2887044684","https://openalex.org/W2888598199"],"related_works":["https://openalex.org/W2294565841","https://openalex.org/W3204276839","https://openalex.org/W2513792068","https://openalex.org/W4229671472","https://openalex.org/W4366731957","https://openalex.org/W4293469093","https://openalex.org/W2519522639","https://openalex.org/W2006668579","https://openalex.org/W4255563580","https://openalex.org/W2603734352"],"abstract_inverted_index":{"Epilepsy":[0],"is":[1,16,66,86,149],"a":[2,75,96,112,121,174],"neurological":[3],"disorder":[4],"that":[5,88],"affects":[6],"close":[7],"to":[8,29,92,101,111,141,151,165],"60":[9],"million":[10],"of":[11,51,99,138],"the":[12,25,135,144],"world's":[13],"population":[14],"and":[15,44,64,106,169],"commonly":[17],"categorized":[18],"by":[19],"having":[20,57],"unpredictable":[21],"seizure":[22,77,172],"episodes.":[23],"Over":[24],"years,":[26],"in":[27,33,126,163],"attempt":[28],"predict":[30],"epileptic":[31],"seizures":[32],"patients":[34,72,94,179],"using":[35],"electroencephalographic":[36],"(EEG)":[37],"data,":[38],"several":[39],"machine":[40],"learning":[41],"based":[42,80],"models":[43],"algorithms":[45],"have":[46],"been":[47],"developed":[48],"but":[49],"many":[50],"them":[52],"present":[53],"shortcomings":[54],"such":[55],"as":[56],"computationally":[58],"inefficient":[59],"algorithms,":[60],"limited":[61],"EEG":[62,157],"data":[63],"there":[65],"no":[67],"one":[68],"size":[69],"fits":[70],"all":[71,93],"model.":[73],"Here":[74],"generalised":[76],"prediction":[78,173],"algorithm":[79,119,148],"on":[81,154],"extremely":[82],"randomised":[83],"tree":[84],"classification":[85],"presented":[87],"can":[89],"be":[90,152],"applied":[91],"with":[95,159,180],"minimal":[97],"number":[98],"features":[100],"provide":[102],"increased":[103],"computational":[104],"efficiency":[105],"comparable":[107],"performance":[108],"score":[109],"relative":[110,140],"more":[113],"complicated":[114],"state-of-the-art":[115,145],"algorithm.":[116,146],"The":[117,147],"new":[118],"achieves":[120],"3.25":[122],"factor":[123],"speed":[124],"up":[125],"computation":[127],"time":[128],"while":[129],"achieving":[130],"an":[131],"average":[132],"Area":[133],"under":[134],"curve,":[136],"AUC":[137],"0.74":[139],"0.72":[142],"for":[143,178],"designed":[150],"implemented":[153],"small":[155],"implantable/wearable":[156],"devices":[158],"little":[160],"computing":[161],"power,":[162],"order":[164],"preserve":[166],"battery":[167],"life":[168],"help":[170],"make":[171],"clinically":[175],"viable":[176],"option":[177],"epilepsy.":[181]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
