{"id":"https://openalex.org/W4289933154","doi":"https://doi.org/10.1016/j.mlwa.2022.100393","title":"Single-trial stimuli classification from detected P300 for augmented Brain\u2013Computer Interface: A deep learning approach","display_name":"Single-trial stimuli classification from detected P300 for augmented Brain\u2013Computer Interface: A deep learning approach","publication_year":2022,"publication_date":"2022-08-05","ids":{"openalex":"https://openalex.org/W4289933154","doi":"https://doi.org/10.1016/j.mlwa.2022.100393"},"language":"en","primary_location":{"id":"doi:10.1016/j.mlwa.2022.100393","doi":"https://doi.org/10.1016/j.mlwa.2022.100393","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.mlwa.2022.100393","pdf_url":"https://www.sciencedirect.com/science/article/pii/S2666827022000743/pdf","source":{"id":"https://openalex.org/S4210201048","display_name":"Machine Learning with Applications","issn_l":"2666-8270","issn":["2666-8270"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning with Applications","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.sciencedirect.com/science/article/pii/S2666827022000743/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024228506","display_name":"Jessica Leoni","orcid":"https://orcid.org/0000-0003-2237-1171","observed_orcids":["https://orcid.org/0000-0003-2237-1171"]},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Jessica Leoni","raw_affiliation_strings":["Politecnico di Milano, Dipartimento di Elettronica Informazione e Bioingegneria (DEIB), Milan, Italy"],"raw_orcid":"https://orcid.org/0000-0003-2237-1171","affiliations":[{"raw_affiliation_string":"Politecnico di Milano, Dipartimento di Elettronica Informazione e Bioingegneria (DEIB), Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001141458","display_name":"Silvia Carla Strada","orcid":"https://orcid.org/0000-0002-1548-1578","observed_orcids":["https://orcid.org/0000-0002-1548-1578"]},"institutions":[{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Silvia Carla Strada","raw_affiliation_strings":["Politecnico di Milano, Dipartimento di Elettronica Informazione e Bioingegneria (DEIB), Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Politecnico di Milano, Dipartimento di Elettronica Informazione e Bioingegneria (DEIB), Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004167071","display_name":"Mara Tanelli","orcid":"https://orcid.org/0000-0002-7172-0203","observed_orcids":["https://orcid.org/0000-0002-7172-0203","https://orcid.org/0000-0003-2644-7487"]},"institutions":[{"id":"https://openalex.org/I4210100607","display_name":"Institute of Electronics, Computer and Telecommunication Engineering","ror":"https://ror.org/00n4jbh84","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210100607","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I93860229","display_name":"Politecnico di Milano","ror":"https://ror.org/01nffqt88","country_code":"IT","type":"education","lineage":["https://openalex.org/I93860229"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mara Tanelli","raw_affiliation_strings":["Istituto di Elettronica e Ingegneria dell\u2019Informazione e delle Telecomunicazioni, Torino, Italy","Politecnico di Milano, Dipartimento di Elettronica Informazione e Bioingegneria (DEIB), Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Istituto di Elettronica e Ingegneria dell\u2019Informazione e delle Telecomunicazioni, Torino, Italy","institution_ids":["https://openalex.org/I4210100607"]},{"raw_affiliation_string":"Politecnico di Milano, Dipartimento di Elettronica Informazione e Bioingegneria (DEIB), Milan, Italy","institution_ids":["https://openalex.org/I93860229"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016225553","display_name":"Alessandra Brusa","orcid":"https://orcid.org/0000-0002-0906-6079","observed_orcids":["https://orcid.org/0000-0002-0906-6079"]},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alessandra Brusa","raw_affiliation_strings":["Milan Center for Neuroscience, Department of Psychology, Universit\u00e0 di Milano-Bicocca, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Milan Center for Neuroscience, Department of Psychology, Universit\u00e0 di Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013470443","display_name":"Alice Mado Proverbio","orcid":"https://orcid.org/0000-0002-5138-1523","observed_orcids":["https://orcid.org/0000-0002-5138-1523"]},"institutions":[{"id":"https://openalex.org/I66752286","display_name":"University of Milano-Bicocca","ror":"https://ror.org/01ynf4891","country_code":"IT","type":"education","lineage":["https://openalex.org/I66752286"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Alice Mado Proverbio","raw_affiliation_strings":["Milan Center for Neuroscience, Department of Psychology, Universit\u00e0 di Milano-Bicocca, Milan, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Milan Center for Neuroscience, Department of Psychology, Universit\u00e0 di Milano-Bicocca, Milan, Italy","institution_ids":["https://openalex.org/I66752286"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024228506"],"corresponding_institution_ids":["https://openalex.org/I93860229"],"apc_list":{"value":2200,"currency":"USD","value_usd":2200},"apc_paid":{"value":2200,"currency":"USD","value_usd":2200},"fwci":3.0002,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92506719,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"100393","last_page":"100393"},"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.0,"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/p300-detection","display_name":"P300 detection","score":0.8090000152587891},{"id":"https://openalex.org/keywords/single-trial-eeg","display_name":"single-trial EEG","score":0.8669999837875366},{"id":"https://openalex.org/keywords/brain-computer-interface","display_name":"brain-computer interface","score":0.8059999942779541},{"id":"https://openalex.org/keywords/event-related-potentials","display_name":"event-related potentials","score":0.8320000171661377},{"id":"https://openalex.org/keywords/cnn-lstm","display_name":"CNN-LSTM","score":0.9419999718666077},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.7239999771118164}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.84975266456604},{"id":"https://openalex.org/C173201364","wikidata":"https://www.wikidata.org/wiki/Q897410","display_name":"Brain\u2013computer interface","level":3,"score":0.8264511823654175},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7134661078453064},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6834615468978882},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5130561590194702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4765770435333252},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.46431729197502136},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4157401919364929},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4124675393104553},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39872443675994873},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.35926055908203125},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2283557653427124},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.17544138431549072},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.0},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1016/j.mlwa.2022.100393","doi":"https://doi.org/10.1016/j.mlwa.2022.100393","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.mlwa.2022.100393","pdf_url":"https://www.sciencedirect.com/science/article/pii/S2666827022000743/pdf","source":{"id":"https://openalex.org/S4210201048","display_name":"Machine Learning with Applications","issn_l":"2666-8270","issn":["2666-8270"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning with Applications","raw_type":"journal-article"},{"id":"pmh:oai:re.public.polimi.it:11311/1220471","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/11311/1220471","pdf_url":"https://re.public.polimi.it/bitstream/11311/1220471/5/ERP___SingleTrialEEG_ElsevierWithRevisions.pdf","source":{"id":"https://openalex.org/S4306400312","display_name":"Virtual Community of Pathological Anatomy (University of Castilla La Mancha)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I79189158","host_organization_name":"University of Castilla-La Mancha","host_organization_lineage":["https://openalex.org/I79189158"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:boa.unimib.it:10281/389900","doi":null,"is_oa":true,"landing_page_url":"https://www.sciencedirect.com/science/article/pii/S2666827022000743","pdf_url":null,"source":{"id":"https://openalex.org/S4306401259","display_name":"BOA (University of Milano-Bicocca)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I66752286","host_organization_name":"University of Milano-Bicocca","host_organization_lineage":["https://openalex.org/I66752286"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:1910792d804e4d83a9b175dd1beb5009","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/1910792d804e4d83a9b175dd1beb5009","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Machine Learning with Applications, Vol 9, Iss , Pp 100393- (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1016/j.mlwa.2022.100393","doi":"https://doi.org/10.1016/j.mlwa.2022.100393","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.mlwa.2022.100393","pdf_url":"https://www.sciencedirect.com/science/article/pii/S2666827022000743/pdf","source":{"id":"https://openalex.org/S4210201048","display_name":"Machine Learning with Applications","issn_l":"2666-8270","issn":["2666-8270"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","jufo-1","norway-1","oarl","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning with Applications","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.4043000042438507}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321499","display_name":"Fondazione Cariplo","ror":"https://ror.org/01gb56c55"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4289933154.pdf","grobid_xml":"https://content.openalex.org/works/W4289933154.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W78672573","https://openalex.org/W1536620489","https://openalex.org/W1836465849","https://openalex.org/W1969715890","https://openalex.org/W1975898493","https://openalex.org/W1985410494","https://openalex.org/W1996090655","https://openalex.org/W2009814490","https://openalex.org/W2015303758","https://openalex.org/W2022001952","https://openalex.org/W2028257011","https://openalex.org/W2036598424","https://openalex.org/W2043415562","https://openalex.org/W2060782400","https://openalex.org/W2077577686","https://openalex.org/W2077702221","https://openalex.org/W2095705004","https://openalex.org/W2098100592","https://openalex.org/W2098154952","https://openalex.org/W2099641226","https://openalex.org/W2102636708","https://openalex.org/W2104640717","https://openalex.org/W2105957367","https://openalex.org/W2106006415","https://openalex.org/W2118157988","https://openalex.org/W2120909160","https://openalex.org/W2121682721","https://openalex.org/W2122342779","https://openalex.org/W2130286991","https://openalex.org/W2136022845","https://openalex.org/W2150590430","https://openalex.org/W2152171700","https://openalex.org/W2160233560","https://openalex.org/W2163605009","https://openalex.org/W2169296125","https://openalex.org/W2183376656","https://openalex.org/W2186704269","https://openalex.org/W2602501373","https://openalex.org/W2605311049","https://openalex.org/W2623902889","https://openalex.org/W2735766064","https://openalex.org/W2751159520","https://openalex.org/W2767574315","https://openalex.org/W2794345050","https://openalex.org/W2919654848","https://openalex.org/W2949087010","https://openalex.org/W2964918186","https://openalex.org/W2996061341","https://openalex.org/W3005708965","https://openalex.org/W3008029918","https://openalex.org/W3016583793","https://openalex.org/W3033642551","https://openalex.org/W3047552210","https://openalex.org/W3084098558","https://openalex.org/W3152205189","https://openalex.org/W3168785516","https://openalex.org/W3213412168","https://openalex.org/W4253569717","https://openalex.org/W4254470891","https://openalex.org/W4366658060","https://openalex.org/W4402843978","https://openalex.org/W6684447187","https://openalex.org/W6755987735","https://openalex.org/W6769306644","https://openalex.org/W6790585458","https://openalex.org/W7074210529"],"related_works":["https://openalex.org/W2831752284","https://openalex.org/W4280639868","https://openalex.org/W3174832115","https://openalex.org/W3093706455","https://openalex.org/W91663998","https://openalex.org/W2075893727","https://openalex.org/W2980078914","https://openalex.org/W4308495343","https://openalex.org/W3133316833","https://openalex.org/W2900269840"],"abstract_inverted_index":{"The":[0,141,170,213],"purpose":[1],"of":[2,50,89,136,143,203,207,222,225,235,239,241],"advanced":[3],"Brain\u2013Computer":[4],"Interfaces":[5],"(BCIs)":[6],"is":[7,146],"to":[8,61,73,82,112,188],"connect":[9],"the":[10,19,35,62,67,76,86,90,96,100,109,113,137,144,176,184,189,196,205,211,218,223,233,236],"human":[11],"brain":[12],"with":[13,57],"an":[14],"external":[15],"device":[16],"without":[17],"using":[18],"muscular":[20],"system.":[21],"To":[22,121],"do":[23,122],"this,":[24,123],"they":[25],"must":[26],"effectively":[27],"process":[28],"mental":[29],"activity":[30],"and":[31,38,45,104,118,162,167],"infer":[32],"information":[33],"on":[34,148,152,243],"users\u2019":[36],"intentions":[37],"directives.":[39],"This":[40],"work":[41],"proposes":[42],"a":[43,126,132,156],"novel":[44],"explainable":[46],"BCI":[47],"system":[48],"capable":[49,202],"recognizing":[51],"P300":[52,78,115,160],"deflection":[53],"in":[54,99,159,182],"single-trial":[55,101],"EEGs":[56],"higher":[58],"accuracy":[59],"compared":[60],"literature":[63],"gold":[64],"standard.":[65],"Moreover,":[66],"proposed":[68,190],"deep-learning":[69],"approach":[70,145],"allows":[71],"us":[72],"go":[74],"beyond":[75],"mere":[77],"detection,":[79],"which":[80,130],"is,":[81],"our":[83],"best":[84],"knowledge,":[85],"current":[87],"state":[88],"art.":[91],"Indeed,":[92],"we":[93,106,124],"first":[94],"identify":[95],"P300-related":[97],"signal":[98],"EEG":[102,139,180],"signal,":[103],"then,":[105],"further":[107],"discriminate":[108],"ERPs":[110],"associated":[111],"detected":[114],"between":[116,165],"visual":[117,166],"auditory":[119,168],"stimuli-related.":[120],"employ":[125],"CNN\u2013LSTM":[127],"neural":[128],"network,":[129],"manages":[131],"3D":[133],"data":[134],"representation":[135],"acquired":[138],"signals.":[140],"performance":[142],"tested":[147],"experiments":[149],"carried":[150],"out":[151],"22":[153],"subjects,":[154],"revealing":[155],"82.4%":[157,163],"F1-score":[158],"identification":[161],"discriminating":[164],"stimuli.":[169],"employed":[171],"algorithmic":[172],"procedure":[173],"also":[174],"reports":[175],"most":[177],"relevant":[178],"each":[179],"channels":[181],"determining":[183],"predictions,":[185],"adding":[186],"interpretability":[187],"AI-based":[191],"tools.":[192],"These":[193],"results":[194],"pave":[195],"way":[197],"for":[198,210,228],"more":[199],"sophisticated":[200],"BCIs,":[201],"extending":[204],"set":[206],"available":[208],"actions":[209],"patients.":[212],"project":[214],"was":[215],"pre-approved":[216],"by":[217],"Research":[219],"Assessment":[220],"Committee":[221,238],"Department":[224],"Psychology":[226],"(CRIP)":[227],"minimal":[229],"risk":[230],"projects,":[231],"under":[232],"aegis":[234],"Ethical":[237],"University":[240],"Milano-Bicocca,":[242],"May":[244],"27th,":[245],"2019,":[246],"protocol":[247],"number":[248],"RM-2019-193.":[249]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3}],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2022-08-06T00:00:00"}
