{"id":"https://openalex.org/W2401457948","doi":null,"title":"Kernel Methods and String Kernels for Authorship Analysis.","display_name":"Kernel Methods and String Kernels for Authorship Analysis.","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2401457948","mag":"2401457948"},"language":"en","primary_location":{"id":"pmh:oai:publica.fraunhofer.de:publica/379107","doi":null,"is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/379107","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,"listed_in":[],"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"},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"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/A5083743189","display_name":"Marius Popescu","orcid":"https://orcid.org/0000-0003-4158-3911","observed_orcids":["https://orcid.org/0000-0003-4158-3911"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Marius Popescu","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-4158-3911","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5027729629","display_name":"Cristian Grozea","orcid":"https://orcid.org/0000-0001-6393-1919","observed_orcids":["https://orcid.org/0000-0001-6393-1919"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cristian Grozea","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6393-1919","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5627,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.84718975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":99},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9994999766349792,"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/T12380","display_name":"Authorship Attribution and Profiling","score":0.9994999766349792,"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/T11550","display_name":"Text and Document Classification Technologies","score":9.999999747378752e-05,"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/T10181","display_name":"Natural Language Processing Techniques","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/authorship-attribution","display_name":"authorship attribution","score":0.9909999966621399},{"id":"https://openalex.org/keywords/string-kernels","display_name":"string kernels","score":0.9110000133514404},{"id":"https://openalex.org/keywords/kernel-methods","display_name":"kernel methods","score":0.9509999752044678},{"id":"https://openalex.org/keywords/text-classification","display_name":"text classification","score":0.4169999957084656},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"unsupervised learning","score":0.6859999895095825}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5687849521636963},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.49301955103874207},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.4331095218658447},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37352874875068665},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3415955901145935},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.15805095434188843},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:publica.fraunhofer.de:publica/379107","doi":null,"is_oa":false,"landing_page_url":"https://publica.fraunhofer.de/handle/publica/379107","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,"listed_in":[],"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"},{"id":"mag:2401457948","doi":null,"is_oa":false,"landing_page_url":"http://ceur-ws.org/Vol-1178/CLEF2012wn-PAN-PopescuEt2012.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306506383","display_name":"CLEF (Online Working Notes/Labs/Workshop)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"CLEF (Online Working Notes/Labs/Workshop)","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1510073064","https://openalex.org/W1554944419","https://openalex.org/W2055699824","https://openalex.org/W2132914434","https://openalex.org/W2139269942","https://openalex.org/W2252160048","https://openalex.org/W2340746501","https://openalex.org/W2911964244","https://openalex.org/W2912780347"],"related_works":["https://openalex.org/W2368083565","https://openalex.org/W7100534336","https://openalex.org/W2740755841","https://openalex.org/W7095747741","https://openalex.org/W2055699824","https://openalex.org/W2587908182","https://openalex.org/W2398209630","https://openalex.org/W2187195488","https://openalex.org/W2095069785","https://openalex.org/W6945137090"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"our":[3],"approach":[4],"to":[5,78],"the":[6,14,30,72,79,83],"PAN":[7],"2012":[8],"Traditional":[9],"Authorship":[10],"Attribution":[11],"tasks":[12,22],"and":[13,44,56,69],"Sexual":[15],"Predator":[16],"Identification":[17],"task.":[18],"We":[19],"approached":[20],"these":[21],"with":[23,50],"machine":[24],"learning":[25,53],"methods":[26],"that":[27],"work":[28],"at":[29],"character":[31],"level.":[32],"More":[33],"precisely,":[34],"we":[35,63],"treated":[36],"texts":[37],"as":[38],"just":[39],"sequences":[40],"of":[41],"symbols":[42],"(strings)":[43],"used":[45],"string":[46],"kernels":[47],"in":[48,66,71],"conjunction":[49],"different":[51],"kernel-based":[52],"methods:":[54],"supervised":[55],"unsupervised.":[57],"The":[58],"results":[59],"were":[60],"extremely":[61],"good,":[62],"ranked":[64],"first":[65],"most":[67],"problem":[68],"overall":[70],"traditional":[73],"authorship":[74],"attribution":[75],"task,":[76],"according":[77],"evaluation":[80],"provided":[81],"by":[82],"organizers.":[84]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}
