{"id":"https://openalex.org/W2046933045","doi":"https://doi.org/10.1109/cicare.2014.7007841","title":"Adaptive Splitting and Selection ensemble for breast cancer malignancy grading","display_name":"Adaptive Splitting and Selection ensemble for breast cancer malignancy grading","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W2046933045","doi":"https://doi.org/10.1109/cicare.2014.7007841","mag":"2046933045"},"language":"en","primary_location":{"id":"doi:10.1109/cicare.2014.7007841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cicare.2014.7007841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE)","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/A5054879396","display_name":"Bartosz Krawczyk","orcid":"https://orcid.org/0000-0002-9774-0106"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":true,"raw_author_name":"Bartosz Krawczyk","raw_affiliation_strings":["Dep. of Systems and Computer Networks, Wroclaw University of Technology, Wroclaw, Poland","Dep. of Systems and Computer Networks, Wroc\u0142aw University of Technology, Poland"],"affiliations":[{"raw_affiliation_string":"Dep. of Systems and Computer Networks, Wroclaw University of Technology, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345"]},{"raw_affiliation_string":"Dep. of Systems and Computer Networks, Wroc\u0142aw University of Technology, Poland","institution_ids":["https://openalex.org/I11923345"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007868174","display_name":"\u0141ukasz Jele\u0144","orcid":"https://orcid.org/0000-0001-7606-5191"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Lukasz Jelen","raw_affiliation_strings":["[Institute of Computer Engineering Control and Robotics, Wroclaw University of Technology, Poland]"],"affiliations":[{"raw_affiliation_string":"[Institute of Computer Engineering Control and Robotics, Wroclaw University of Technology, Poland]","institution_ids":["https://openalex.org/I11923345"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060936121","display_name":"Micha\u0142 Wo\u017aniak","orcid":"https://orcid.org/0000-0003-0146-4205"},"institutions":[{"id":"https://openalex.org/I11923345","display_name":"Wroc\u0142aw University of Science and Technology","ror":"https://ror.org/008fyn775","country_code":"PL","type":"education","lineage":["https://openalex.org/I11923345"]}],"countries":["PL"],"is_corresponding":false,"raw_author_name":"Michal Wozniak","raw_affiliation_strings":["Dep. of Systems and Computer Networks, Wroclaw University of Technology, Wroclaw, Poland","Dep. of Systems and Computer Networks, Wroc\u0142aw University of Technology, Poland"],"affiliations":[{"raw_affiliation_string":"Dep. of Systems and Computer Networks, Wroclaw University of Technology, Wroclaw, Poland","institution_ids":["https://openalex.org/I11923345"]},{"raw_affiliation_string":"Dep. of Systems and Computer Networks, Wroc\u0142aw University of Technology, Poland","institution_ids":["https://openalex.org/I11923345"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054879396"],"corresponding_institution_ids":["https://openalex.org/I11923345"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.08616284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":null,"first_page":"104","last_page":"111"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9962999820709229,"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/T10862","display_name":"AI in cancer detection","score":0.9962999820709229,"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/T10885","display_name":"Gene expression and cancer classification","score":0.978600025177002,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9337000250816345,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.705583393573761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6681492328643799},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5717514157295227},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.566531240940094},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.526669442653656},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45540034770965576},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.44843170046806335},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.4362279772758484},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4329652786254883}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.705583393573761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6681492328643799},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5717514157295227},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.566531240940094},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.526669442653656},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45540034770965576},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.44843170046806335},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.4362279772758484},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4329652786254883},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cicare.2014.7007841","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cicare.2014.7007841","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W89348055","https://openalex.org/W109977818","https://openalex.org/W267005183","https://openalex.org/W1426511931","https://openalex.org/W1547714734","https://openalex.org/W1553556918","https://openalex.org/W1564372824","https://openalex.org/W1574981037","https://openalex.org/W1898259180","https://openalex.org/W1934727243","https://openalex.org/W1975314995","https://openalex.org/W1979744342","https://openalex.org/W1984630326","https://openalex.org/W1992419399","https://openalex.org/W2001369369","https://openalex.org/W2038705219","https://openalex.org/W2056499382","https://openalex.org/W2081220763","https://openalex.org/W2085721351","https://openalex.org/W2087291293","https://openalex.org/W2093030207","https://openalex.org/W2096945460","https://openalex.org/W2099454382","https://openalex.org/W2113076747","https://openalex.org/W2114985350","https://openalex.org/W2124868070","https://openalex.org/W2136256517","https://openalex.org/W2150706391","https://openalex.org/W2150757437","https://openalex.org/W2155543647","https://openalex.org/W2487087946","https://openalex.org/W2502191589","https://openalex.org/W2570929519","https://openalex.org/W2911964244","https://openalex.org/W2912934387","https://openalex.org/W3142229452","https://openalex.org/W4205471131","https://openalex.org/W4205687621","https://openalex.org/W4212883601","https://openalex.org/W6634491838","https://openalex.org/W6671700484","https://openalex.org/W6678576760","https://openalex.org/W6724339626"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W1487808658","https://openalex.org/W2761785940","https://openalex.org/W2129933262","https://openalex.org/W2005234362","https://openalex.org/W1997235926"],"abstract_inverted_index":{"The":[0],"article":[1],"presents":[2],"an":[3,19,114,150],"application":[4],"of":[5,17,34,53,62,86,106,136,153,161,167,174,182,193],"Adaptive":[6],"Splitting":[7],"and":[8,55,82,158,189],"Selection":[9],"(AdaSS)":[10],"ensemble":[11,127],"classifier":[12],"in":[13,94,103,138,177],"a":[14,38,46,50,73,84,100,125,144,186],"real-life":[15],"task":[16],"designing":[18],"efficient":[20,69],"clinical":[21],"decision":[22,140],"support":[23,199],"system":[24],"for":[25,165],"breast":[26],"cancer":[27,35,54],"malignancy":[28,64],"grading.":[29],"We":[30,71],"approach":[31],"the":[32,60,67,91,95,104,109,139,171,175,178,205],"problem":[33],"detection":[36],"form":[37],"different":[39],"angle":[40],"-":[41],"we":[42,56,98,121,184],"already":[43],"know":[44],"that":[45,63,97,204],"given":[47],"patient":[48],"has":[49],"malignant":[51],"type":[52],"want":[57],"to":[58,65,113,123,132],"asses":[59],"level":[61],"propose":[66,122],"most":[68,162],"treatment.":[70],"carry":[72],"cytological":[74],"image":[75],"segmentation":[76],"process":[77],"with":[78],"fuzzy":[79],"c-means":[80],"procedure":[81],"extract":[83],"set":[85],"highly":[87],"discriminative":[88],"features.":[89],"However,":[90],"difficulty":[92],"lies":[93],"fact,":[96],"have":[99],"high":[101],"disproportion":[102],"number":[105],"patients":[107],"between":[108],"groups,":[110],"which":[111,129],"leads":[112],"imbalanced":[115],"classification":[116,214],"problem.":[117],"To":[118,169],"address":[119],"this,":[120],"use":[124],"dedicated":[126],"model,":[128],"is":[130,143,208],"able":[131],"exploit":[133],"local":[134],"areas":[135],"competence":[137],"space.":[141],"AdaSS":[142,183],"hybrid":[145,179],"combined":[146],"classifier,":[147],"based":[148,196],"on":[149,197],"evolutionary":[151],"splitting":[152],"object":[154],"space":[155],"into":[156],"clusters":[157],"simultaneous":[159],"selection":[160,188],"competent":[163],"classifiers":[164,195],"each":[166],"them.":[168],"increase":[170],"overall":[172],"accuracy":[173],"classification,":[176],"training":[180],"algorithm":[181],"embedded":[185],"feature":[187],"trained":[190],"weighted":[191],"fusion":[192],"individual":[194],"their":[198],"functions.":[200],"Experimental":[201],"investigation":[202],"proves":[203],"introduced":[206],"method":[207],"more":[209],"accurate":[210],"than":[211],"previously":[212],"used":[213],"approaches.":[215]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
