{"id":"https://openalex.org/W2115989903","doi":"https://doi.org/10.1007/3-540-28084-7_23","title":"Binary On-line Classification Based on Temporally Integrated Information","display_name":"Binary On-line Classification Based on Temporally Integrated Information","publication_year":2005,"publication_date":"2005-10-17","ids":{"openalex":"https://openalex.org/W2115989903","doi":"https://doi.org/10.1007/3-540-28084-7_23","mag":"2115989903"},"language":"en","primary_location":{"id":"doi:10.1007/3-540-28084-7_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-28084-7_23","pdf_url":null,"source":{"id":"https://openalex.org/S4210194094","display_name":"Studies in classification, data analysis, and knowledge organization","issn_l":"1431-8814","issn":["1431-8814","2198-3321"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Classification, Data Analysis, and Knowledge Organization","raw_type":"book-chapter"},"type":"book-chapter","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/A5068057184","display_name":"Christin Sch\u00e4fer","orcid":null},"institutions":[{"id":"https://openalex.org/I4923324","display_name":"Fraunhofer-Gesellschaft","ror":"https://ror.org/05hkkdn48","country_code":"DE","type":"government","lineage":["https://openalex.org/I4923324"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christin Sch\u00e4fer","raw_affiliation_strings":["Intelligent Data Analysis Group, Fraunhofer Institute FIRST, Kekul\u00e9str.7, 12489, Berlin, Germany","Fraunhofer\u2013Institute FIRST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intelligent Data Analysis Group, Fraunhofer Institute FIRST, Kekul\u00e9str.7, 12489, Berlin, Germany","institution_ids":[]},{"raw_affiliation_string":"Fraunhofer\u2013Institute FIRST","institution_ids":["https://openalex.org/I4923324"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109221174","display_name":"Steven Lemm","orcid":null},"institutions":[{"id":"https://openalex.org/I4210106043","display_name":"Foundation for Ichthyosis and Related Skin Types","ror":"https://ror.org/01fq70c03","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210106043"]},{"id":"https://openalex.org/I4923324","display_name":"Fraunhofer-Gesellschaft","ror":"https://ror.org/05hkkdn48","country_code":"DE","type":"government","lineage":["https://openalex.org/I4923324"]},{"id":"https://openalex.org/I7877124","display_name":"Charit\u00e9 - Universit\u00e4tsmedizin Berlin","ror":"https://ror.org/001w7jn25","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I7877124"]}],"countries":["DE","US"],"is_corresponding":false,"raw_author_name":"Steven Lemm","raw_affiliation_strings":["Dept. of Neurology, Campus Benjamin Franklin, Charit\u00e9, University Medicine Berlin, Hindenburgdamm 30, 12200, Berlin, Germany","Intelligent Data Analysis Group, Fraunhofer Institute FIRST, Kekul\u00e9str.7, 12489, Berlin, Germany","Fraunhofer Institute FIRST"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Neurology, Campus Benjamin Franklin, Charit\u00e9, University Medicine Berlin, Hindenburgdamm 30, 12200, Berlin, Germany","institution_ids":["https://openalex.org/I7877124"]},{"raw_affiliation_string":"Intelligent Data Analysis Group, Fraunhofer Institute FIRST, Kekul\u00e9str.7, 12489, Berlin, Germany","institution_ids":[]},{"raw_affiliation_string":"Fraunhofer Institute FIRST","institution_ids":["https://openalex.org/I4923324","https://openalex.org/I4210106043"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064191835","display_name":"Gabriel Curio","orcid":"https://orcid.org/0000-0002-3377-7735"},"institutions":[{"id":"https://openalex.org/I4210091434","display_name":"MSB Medical School Berlin","ror":"https://ror.org/001vjqx13","country_code":"DE","type":"education","lineage":["https://openalex.org/I4210091434"]},{"id":"https://openalex.org/I7877124","display_name":"Charit\u00e9 - Universit\u00e4tsmedizin Berlin","ror":"https://ror.org/001w7jn25","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I7877124"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Gabriel Curio","raw_affiliation_strings":["Dept. of Neurology, Campus Benjamin Franklin, Charit\u00e9, University Medicine Berlin, Hindenburgdamm 30, 12200, Berlin, Germany","University Medicine Berlin"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Neurology, Campus Benjamin Franklin, Charit\u00e9, University Medicine Berlin, Hindenburgdamm 30, 12200, Berlin, Germany","institution_ids":["https://openalex.org/I7877124"]},{"raw_affiliation_string":"University Medicine Berlin","institution_ids":["https://openalex.org/I4210091434"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5438,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.70379497,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"216","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9998999834060669,"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":0.9998999834060669,"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/T10581","display_name":"Neural dynamics and brain function","score":0.9919999837875366,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9812999963760376,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8075024485588074},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6740316152572632},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.6461515426635742},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6327235102653503},{"id":"https://openalex.org/keywords/binary-decision-diagram","display_name":"Binary decision diagram","score":0.5662623643875122},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5523406863212585},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.544653594493866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5424665808677673},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5070888996124268},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4826658070087433},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4402586817741394},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4357118308544159},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4269748032093048},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.41369110345840454},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39916831254959106},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3463588356971741},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.3070097267627716},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.29644298553466797},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21779891848564148},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.19969546794891357}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8075024485588074},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6740316152572632},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.6461515426635742},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6327235102653503},{"id":"https://openalex.org/C3309909","wikidata":"https://www.wikidata.org/wiki/Q864155","display_name":"Binary decision diagram","level":2,"score":0.5662623643875122},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5523406863212585},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.544653594493866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5424665808677673},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5070888996124268},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4826658070087433},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4402586817741394},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4357118308544159},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4269748032093048},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.41369110345840454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39916831254959106},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3463588356971741},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.3070097267627716},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29644298553466797},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21779891848564148},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.19969546794891357},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/3-540-28084-7_23","is_oa":false,"landing_page_url":"https://doi.org/10.1007/3-540-28084-7_23","pdf_url":null,"source":{"id":"https://openalex.org/S4210194094","display_name":"Studies in classification, data analysis, and knowledge organization","issn_l":"1431-8814","issn":["1431-8814","2198-3321"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Classification, Data Analysis, and Knowledge Organization","raw_type":"book-chapter"},{"id":"pmh:oai:fraunhofer.de:N-55498","is_oa":false,"landing_page_url":"http://publica.fraunhofer.de/documents/N-55498.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400801","display_name":"Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Fraunhofer FIRST","raw_type":"Conference Paper"},{"id":"pmh:oai:publica.fraunhofer.de:publica/349982","is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/349982","pdf_url":null,"source":{"id":"https://openalex.org/S4306400318","display_name":"Fraunhofer-Publica (Fraunhofer-Gesellschaft)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4923324","host_organization_name":"Fraunhofer-Gesellschaft","host_organization_lineage":["https://openalex.org/I4923324"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1506281249","https://openalex.org/W1978386551","https://openalex.org/W1986261878","https://openalex.org/W1998302573","https://openalex.org/W2034139177","https://openalex.org/W2050116264","https://openalex.org/W2052684349","https://openalex.org/W2059915684","https://openalex.org/W2062887494","https://openalex.org/W2063474630","https://openalex.org/W2109858853","https://openalex.org/W2163756472","https://openalex.org/W2169234301","https://openalex.org/W2274692630","https://openalex.org/W2799061466","https://openalex.org/W4239875977"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W2180954594","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W2052835778","https://openalex.org/W4205463238","https://openalex.org/W2049003611","https://openalex.org/W2127804977"],"abstract_inverted_index":null,"counts_by_year":[],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
