{"id":"https://openalex.org/W2971397094","doi":"https://doi.org/10.1109/codit.2019.8820327","title":"Gabriel Graph Transductive Approach to Dataset Shift","display_name":"Gabriel Graph Transductive Approach to Dataset Shift","publication_year":2019,"publication_date":"2019-04-01","ids":{"openalex":"https://openalex.org/W2971397094","doi":"https://doi.org/10.1109/codit.2019.8820327","mag":"2971397094"},"language":"en","primary_location":{"id":"doi:10.1109/codit.2019.8820327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit.2019.8820327","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5065293281","display_name":"Carla Caldeira Takahashi","orcid":"https://orcid.org/0000-0002-9153-8839"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Carla C. Takahashi","raw_affiliation_strings":["Loggi Tecnologia, S??o Paulo, SP, Brazil"],"affiliations":[{"raw_affiliation_string":"Loggi Tecnologia, S??o Paulo, SP, Brazil","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021300796","display_name":"Luiz C. B. Torres","orcid":"https://orcid.org/0000-0002-4991-8395"},"institutions":[{"id":"https://openalex.org/I10824318","display_name":"Universidade Federal de Ouro Preto","ror":"https://ror.org/056s65p46","country_code":"BR","type":"education","lineage":["https://openalex.org/I10824318"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Luiz C. B. Torres","raw_affiliation_strings":["Department of Computing and Systems, Federal University of Ouro Preto, Jo??o Monlevade, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Computing and Systems, Federal University of Ouro Preto, Jo??o Monlevade, Brazil","institution_ids":["https://openalex.org/I10824318"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032262231","display_name":"Ant\u00f4nio P. Braga","orcid":"https://orcid.org/0000-0002-9007-0920"},"institutions":[{"id":"https://openalex.org/I110200422","display_name":"Universidade Federal de Minas Gerais","ror":"https://ror.org/0176yjw32","country_code":"BR","type":"education","lineage":["https://openalex.org/I110200422"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Antonio P. Braga","raw_affiliation_strings":["Department of Electronic Engineering, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, Federal University of Minas Gerais, Belo Horizonte, MG, Brazil","institution_ids":["https://openalex.org/I110200422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065293281"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09818484,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1622","last_page":"1627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9997000098228455,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9997000098228455,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9799000024795532,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9715999960899353,"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":0.6894806027412415},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.641486406326294},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5557764172554016},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5094991326332092},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5062264800071716},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47428590059280396},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4428033232688904},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3851756751537323},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.13726142048835754}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6894806027412415},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.641486406326294},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5557764172554016},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5094991326332092},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5062264800071716},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47428590059280396},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4428033232688904},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3851756751537323},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.13726142048835754},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit.2019.8820327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit.2019.8820327","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"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/W1506806321","https://openalex.org/W1593532658","https://openalex.org/W1904826605","https://openalex.org/W1970754929","https://openalex.org/W1978581090","https://openalex.org/W2028138594","https://openalex.org/W2099419573","https://openalex.org/W2105767494","https://openalex.org/W2139327121","https://openalex.org/W2146950091","https://openalex.org/W2155080045","https://openalex.org/W2157515074","https://openalex.org/W2162651021","https://openalex.org/W2289463038","https://openalex.org/W2303631489","https://openalex.org/W6698324224"],"related_works":["https://openalex.org/W2062195135","https://openalex.org/W2795079307","https://openalex.org/W2961085424","https://openalex.org/W2793058541","https://openalex.org/W1983629434","https://openalex.org/W2055929693","https://openalex.org/W4224009465","https://openalex.org/W4324271173","https://openalex.org/W1967645776","https://openalex.org/W2352227742"],"abstract_inverted_index":{"It":[0,51],"is":[1,14,49,93],"not":[2],"uncommon":[3],"for":[4],"data":[5,34,57,68,84],"obtained":[6],"from":[7,61],"systems":[8],"to":[9,23,31,33,46,80],"change":[10],"after":[11],"the":[12,29,77,90,114],"model":[13,78],"learned.":[15],"These":[16],"occurrences":[17],"are":[18,74],"named":[19],"dataset":[20],"shifts":[21],"and":[22,64,70,105],"deal":[24],"with":[25,28,100],"them":[26],"models":[27],"ability":[30],"adapt":[32],"changes":[35],"must":[36],"be":[37,43],"used.":[38],"A":[39],"strategy":[40],"that":[41,58,89],"can":[42],"easily":[44],"integrated":[45],"other":[47],"classifiers":[48,104,111],"proposed.":[50],"creates":[52],"a":[53],"geometrical":[54],"representation":[55],"of":[56,96,102],"extracts":[59],"information":[60],"both":[62],"labelled":[63],"unlabelled":[65],"data.":[66],"Then":[67],"entropy":[69],"Jensen-Shannon":[71],"dissimilarity":[72],"tests":[73],"used":[75],"during":[76],"selection":[79],"handle":[81],"cases":[82],"where":[83],"shift.":[85],"Results":[86],"have":[87],"shown":[88],"proposed":[91],"method":[92],"promising":[94],"because":[95],"its":[97,106],"simple":[98],"integration":[99],"state":[101],"art":[103],"performance":[107],"in":[108,113],"enhancing":[109],"said":[110],"accuracy":[112],"studied":[115],"cases.":[116]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}