{"id":"https://openalex.org/W4213372248","doi":"https://doi.org/10.1007/978-3-030-96068-1_2","title":"Risks and\u00a0Challenges of\u00a0Training Classifiers for\u00a0IoT","display_name":"Risks and\u00a0Challenges of\u00a0Training Classifiers for\u00a0IoT","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4213372248","doi":"https://doi.org/10.1007/978-3-030-96068-1_2"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-96068-1_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-96068-1_2","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","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/A5057170324","display_name":"Franck Le","orcid":"https://orcid.org/0000-0002-0372-5045"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Franck Le","raw_affiliation_strings":["IBM T.J. Watson Research Center, New York, US"],"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center, New York, US","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041645148","display_name":"Seraphin Calo","orcid":"https://orcid.org/0000-0003-4668-3989"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Seraphin Calo","raw_affiliation_strings":["IBM T.J. Watson Research Center, New York, US"],"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center, New York, US","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077318302","display_name":"Dinesh Verma","orcid":"https://orcid.org/0000-0003-1933-7343"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dinesh Verma","raw_affiliation_strings":["IBM T.J. Watson Research Center, New York, US"],"affiliations":[{"raw_affiliation_string":"IBM T.J. Watson Research Center, New York, US","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057170324"],"corresponding_institution_ids":[],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":1.8496,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83891753,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"15","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9998999834060669,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9995999932289124,"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/overfitting","display_name":"Overfitting","score":0.9430911540985107},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8883010745048523},{"id":"https://openalex.org/keywords/feature-engineering","display_name":"Feature engineering","score":0.7300685048103333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6418449282646179},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6124006509780884},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4938114583492279},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.4684728980064392},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.46351540088653564},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4609636962413788},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4581562280654907},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45054730772972107},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4503999948501587},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.39055848121643066}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9430911540985107},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8883010745048523},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.7300685048103333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6418449282646179},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6124006509780884},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4938114583492279},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.4684728980064392},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.46351540088653564},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4609636962413788},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4581562280654907},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45054730772972107},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4503999948501587},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.39055848121643066},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-96068-1_2","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-96068-1_2","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1516506771","https://openalex.org/W2293605433","https://openalex.org/W2295598076","https://openalex.org/W2621148797","https://openalex.org/W2768348081","https://openalex.org/W2768718335","https://openalex.org/W2887149310","https://openalex.org/W2928689123","https://openalex.org/W2964344666","https://openalex.org/W3027485588","https://openalex.org/W3034611465","https://openalex.org/W4245409806"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W3009056573","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W3099765033","https://openalex.org/W3094256312","https://openalex.org/W3034267371"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
