{"id":"https://openalex.org/W2753645534","doi":"https://doi.org/10.1109/iscc.2017.8024529","title":"Interval Coded Scoring extensions for larger problems","display_name":"Interval Coded Scoring extensions for larger problems","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2753645534","doi":"https://doi.org/10.1109/iscc.2017.8024529","mag":"2753645534"},"language":"en","primary_location":{"id":"doi:10.1109/iscc.2017.8024529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2017.8024529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Symposium on Computers and Communications (ISCC)","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/A5033056687","display_name":"Lieven Billiet","orcid":"https://orcid.org/0000-0003-2149-1462"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lieven Billiet","raw_affiliation_strings":["Department of Electrical Engineering (ESAT), Signal Processing and Data Analytics, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT), Signal Processing and Data Analytics, Leuven, Belgium","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049055621","display_name":"Sabine Van Huffel","orcid":"https://orcid.org/0000-0001-5939-0996"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sabine Van Huffel","raw_affiliation_strings":["Department of Electrical Engineering (ESAT), Signal Processing and Data Analytics, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT), Signal Processing and Data Analytics, Leuven, Belgium","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110223024","display_name":"Vanya Van Belle","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vanya Van Belle","raw_affiliation_strings":["Department of Electrical Engineering (ESAT), Signal Processing and Data Analytics, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering (ESAT), Signal Processing and Data Analytics, Leuven, Belgium","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5979,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76538679,"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":"198","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9887999892234802,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9887999892234802,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9700999855995178,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9333999752998352,"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":0.6755930185317993},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.5903475284576416},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.5322420597076416},{"id":"https://openalex.org/keywords/equivalence","display_name":"Equivalence (formal languages)","score":0.4989917278289795},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4322808086872101},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4202693700790405},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3655197024345398},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12331870198249817}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6755930185317993},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.5903475284576416},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.5322420597076416},{"id":"https://openalex.org/C2780069185","wikidata":"https://www.wikidata.org/wiki/Q7977945","display_name":"Equivalence (formal languages)","level":2,"score":0.4989917278289795},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4322808086872101},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4202693700790405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3655197024345398},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12331870198249817},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iscc.2017.8024529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscc.2017.8024529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Symposium on Computers and Communications (ISCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:lirias2repo.kuleuven.be:123456789/616909","is_oa":false,"landing_page_url":"https://lirias.kuleuven.be/bitstream/123456789/616909/1/17-129_ICTS4eHealth.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S7407055369","display_name":"Lirias","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ISCC17, Heraklion, Greece, July 2017","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W340244495","https://openalex.org/W1575933603","https://openalex.org/W1647292442","https://openalex.org/W1960174506","https://openalex.org/W1978333359","https://openalex.org/W1995598019","https://openalex.org/W2051404519","https://openalex.org/W2057983419","https://openalex.org/W2122825543","https://openalex.org/W2135046866","https://openalex.org/W2141192527","https://openalex.org/W2147898188","https://openalex.org/W2156909104","https://openalex.org/W2162586165","https://openalex.org/W2198799117","https://openalex.org/W2342712487","https://openalex.org/W2567328817","https://openalex.org/W3120740533","https://openalex.org/W6634569584","https://openalex.org/W6687921916"],"related_works":["https://openalex.org/W2075768550","https://openalex.org/W3022218857","https://openalex.org/W2369178846","https://openalex.org/W2370289839","https://openalex.org/W2186864281","https://openalex.org/W2082716031","https://openalex.org/W2933494595","https://openalex.org/W4255427455","https://openalex.org/W4313347705","https://openalex.org/W1568049691"],"abstract_inverted_index":{"In":[0,143],"many":[1],"medical":[2,32],"problems,":[3],"clinicians":[4],"are":[5,16,25],"suffering":[6],"from":[7,62],"information":[8],"overload.":[9],"Nowadays,":[10],"clinical":[11,38,63],"decision":[12],"support":[13],"systems":[14,34,61],"(CDSS)":[15],"widely":[17],"available":[18],"to":[19,31,90,113,121],"alleviate":[20],"this":[21],"issue.":[22],"However,":[23],"they":[24],"often":[26],"not":[27],"transparent,":[28],"in":[29,36],"contrast":[30],"scoring":[33,60],"originating":[35],"the":[37,97,110,148,152,156,163,168],"world":[39],"itself.":[40],"This":[41,84],"work":[42],"presents":[43],"an":[44,52,79,106],"extension":[45],"of":[46,58,109,136,154,174],"Interval":[47],"Coded":[48],"Scoring":[49],"System":[50],"(ICS),":[51],"approach":[53],"for":[54,71,101],"semi-automatic":[55],"data-driven":[56],"extraction":[57],"such":[59],"data.":[64],"It":[65],"focuses":[66],"on":[67,147],"two":[68],"ICS":[69,118,165],"improvements":[70],"large":[72],"or":[73],"high-dimensional":[74],"datasets.":[75],"Firstly,":[76],"it":[77],"offers":[78],"alternative":[80],"elastic":[81],"net":[82],"implementation.":[83],"can":[85],"be":[86],"solved":[87],"efficiently":[88],"due":[89],"equivalence":[91],"with":[92,171],"Support":[93],"Vector":[94],"Machines":[95],"and":[96,134,139],"existing":[98],"efficient":[99],"solver":[100],"its":[102],"primal":[103],"formulation.":[104],"Secondly,":[105],"informed":[107],"preselection":[108],"variables":[111],"allows":[112],"lower":[114],"ICS'":[115],"computational":[116],"burden.":[117],"is":[119],"applied":[120],"problems":[122],"as":[123,125,162],"diverse":[124],"arrhythmia":[126,149],"diagnosis,":[127],"breast":[128],"cancer":[129],"prognosis,":[130],"functional":[131],"capacity":[132],"assessment":[133],"diagnosis":[135],"spinal":[137],"diseases":[138],"obtains":[140],"good":[141],"results.":[142],"particular,":[144],"a":[145,172],"comparison":[146],"database":[150],"shows":[151],"importance":[153],"using":[155],"extensions":[157],"which":[158],"yield":[159],"similar":[160],"performance":[161],"original":[164],"while":[166],"shortening":[167],"execution":[169],"time":[170],"factor":[173],"ten.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
