{"id":"https://openalex.org/W3044428345","doi":"https://doi.org/10.1109/iccicc46617.2019.9146100","title":"Awareness of Crime-related Information and Concealed Information Detection method","display_name":"Awareness of Crime-related Information and Concealed Information Detection method","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W3044428345","doi":"https://doi.org/10.1109/iccicc46617.2019.9146100","mag":"3044428345"},"language":"en","primary_location":{"id":"doi:10.1109/iccicc46617.2019.9146100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccicc46617.2019.9146100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 18th International Conference on Cognitive Informatics &amp; Cognitive Computing (ICCI*CC)","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/A5100453144","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-5378-6404"},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qi Liu","raw_affiliation_strings":["Institute of crime, People's Public Security University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of crime, People's Public Security University of China, Beijing, China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100709277","display_name":"Hongguang Liu","orcid":"https://orcid.org/0000-0003-0736-8054"},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong-Guang Liu","raw_affiliation_strings":["Institute of crime, People's Public Security University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of crime, People's Public Security University of China, Beijing, China","institution_ids":["https://openalex.org/I37448385"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100756546","display_name":"Lei Zhang","orcid":"https://orcid.org/0000-0002-6302-8348"},"institutions":[{"id":"https://openalex.org/I37448385","display_name":"China People's Public Security University","ror":"https://ror.org/05twya590","country_code":"CN","type":"education","lineage":["https://openalex.org/I37448385"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zhang","raw_affiliation_strings":["Police Education and Training Research Center, People's Public Security University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Police Education and Training Research Center, People's Public Security University of China, Beijing, China","institution_ids":["https://openalex.org/I37448385"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100453144"],"corresponding_institution_ids":["https://openalex.org/I37448385"],"apc_list":null,"apc_paid":null,"fwci":0.2592,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67481366,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"41","issue":null,"first_page":"372","last_page":"378"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12268","display_name":"Deception detection and forensic psychology","score":0.9955000281333923,"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"}},"topics":[{"id":"https://openalex.org/T12268","display_name":"Deception detection and forensic psychology","score":0.9955000281333923,"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"}},{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9944000244140625,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9932000041007996,"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":0.689365029335022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5692206621170044},{"id":"https://openalex.org/keywords/cholesky-decomposition","display_name":"Cholesky decomposition","score":0.5511384606361389},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4981703758239746},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.497332364320755},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.47682517766952515},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4601841866970062},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.45252907276153564},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.44621896743774414},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4385186731815338},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.42592141032218933},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.32744187116622925},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18056294322013855},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1043100655078888}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.689365029335022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5692206621170044},{"id":"https://openalex.org/C34727166","wikidata":"https://www.wikidata.org/wiki/Q515375","display_name":"Cholesky decomposition","level":3,"score":0.5511384606361389},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4981703758239746},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.497332364320755},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.47682517766952515},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4601841866970062},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.45252907276153564},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.44621896743774414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4385186731815338},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.42592141032218933},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.32744187116622925},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18056294322013855},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1043100655078888},{"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccicc46617.2019.9146100","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccicc46617.2019.9146100","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE 18th International Conference on Cognitive Informatics &amp; Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.5400000214576721,"display_name":"Reduced inequalities"},{"id":"https://metadata.un.org/sdg/16","score":0.4399999976158142,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1520378139","https://openalex.org/W1965869058","https://openalex.org/W1980554435","https://openalex.org/W1993717606","https://openalex.org/W2021119971","https://openalex.org/W2026131661","https://openalex.org/W2029797897","https://openalex.org/W2030503309","https://openalex.org/W2039930961","https://openalex.org/W2048337649","https://openalex.org/W2051294547","https://openalex.org/W2073751873","https://openalex.org/W2089282640","https://openalex.org/W2094743314","https://openalex.org/W2106006325","https://openalex.org/W2118835212","https://openalex.org/W2122242849","https://openalex.org/W2126525390","https://openalex.org/W2140316171","https://openalex.org/W2589791883","https://openalex.org/W2613652069","https://openalex.org/W2735538659","https://openalex.org/W2800471135","https://openalex.org/W2808136431","https://openalex.org/W6656866805","https://openalex.org/W6752661450"],"related_works":["https://openalex.org/W2054017055","https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W4321517526","https://openalex.org/W1976022598","https://openalex.org/W1967182499","https://openalex.org/W2111896212","https://openalex.org/W2097034666","https://openalex.org/W2001281573","https://openalex.org/W2152748622"],"abstract_inverted_index":{"Concealed":[0],"information":[1],"test":[2],"based":[3],"on":[4,106],"P300":[5],"and":[6,92,102,172],"machine":[7,131],"learning":[8,130],"has":[9,173],"become":[10],"increasingly":[11],"popular":[12],"in":[13,30,44,67],"the":[14,113,137,154,157,164],"fields":[15],"of":[16,38,56,83,156],"cognitive":[17,32],"psychology.":[18],"Numerous":[19],"studies":[20],"have":[21],"set":[22],"up":[23],"mock":[24,99],"crime":[25,100],"scenario":[26],"to":[27,65,77,86,120,135,139],"identify":[28],"changes":[29],"EEG":[31,103,122],"components.":[33],"However,":[34],"only":[35],"two":[36],"kinds":[37,82],"subjects":[39,84,95],"are":[40],"taken":[41],"into":[42],"account":[43],"most":[45],"previous":[46],"studies.":[47],"Therefore,":[48],"if":[49],"an":[50],"innocent":[51,91],"person":[52],"had":[53],"been":[54],"aware":[55],"case-related":[57],"information,":[58],"i.e.,":[59],"probe":[60],"items,":[61],"which":[62,140],"is":[63,133,151],"likely":[64],"happen":[66],"practice,":[68],"recognition":[69,170],"capability":[70],"will":[71],"be":[72,87],"significantly":[73],"compromised.":[74],"In":[75],"order":[76],"simulate":[78],"practical":[79],"cases,":[80],"three":[81],"needed":[85],"discriminated,":[88],"including":[89],"guilty,":[90],"informed.":[93],"36":[94],"went":[96],"through":[97],"a":[98,125,141],"scenario,":[101],"signals":[104],"obtained":[105],"8":[107],"electrodes":[108],"were":[109],"analyzed.":[110],"After":[111],"preprocessing,":[112],"discrete":[114],"wavelet":[115,127],"packet":[116],"decomposition":[117,150],"was":[118],"used":[119],"extract":[121],"features.":[123],"Subsequently,":[124],"multi-scale":[126],"kernel":[128],"extreme":[129],"classifier":[132],"proposed":[134,165],"recognize":[136],"group":[138],"specific":[142],"subject":[143],"belongs.":[144],"To":[145],"further":[146],"reduce":[147],"computation,":[148],"Cholesky":[149],"introduced":[152],"during":[153],"calculation":[155],"output":[158],"weights.":[159],"Our":[160],"results":[161],"demonstrate":[162],"that":[163],"algorithm":[166],"can":[167],"achieve":[168],"good":[169],"performance":[171],"low":[174],"computational":[175],"burden.":[176]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
