{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T02:10:38Z","timestamp":1710382238865},"reference-count":12,"publisher":"World Scientific Pub Co Pte Lt","issue":"03n04","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[2020,6]]},"abstract":"<jats:p> Centrality measures have been helping to explain the behavior of objects, given their relation, in a wide variety of problems, since sociology to chemistry. This work considers these measures to assess the importance of every classifier belonging to an ensemble of classifiers, aiming to improve a Multiple Classifier System (MCS). Assessing the classifier\u2019s importance by employing centrality measures, inspired two different approaches: one for selecting classifiers and another for fusion. The selection approach, called Centrality Based Selection (CBS), adopts a trade-off between the classifier\u2019s accuracy and their diversity. The sub-optimal selected subset presents good results against selection methods from the literature, being superior in 67.22% of the cases. The second approach, the integration, is named Centrality Based Fusion (CBF). This approach is a weighted combination method, which is superior to literature in 70% of the cases. <\/jats:p>","DOI":"10.1142\/s0218213020600040","type":"journal-article","created":{"date-parts":[[2020,6,17]],"date-time":"2020-06-17T11:01:59Z","timestamp":1592391719000},"page":"2060004","source":"Crossref","is-referenced-by-count":2,"title":["Selecting and Combining Classifiers Based on Centrality Measures"],"prefix":"10.1142","volume":"29","author":[{"given":"Ronan","family":"Assump\u00e7\u00e3o Silva","sequence":"first","affiliation":[{"name":"Pontifical Catholic University of Parana (PUCPR), Curitiba, Parana, Brazil"},{"name":"Federal Institute of Parana (IFPR), Pinhais, Parana, Brazil"}]},{"suffix":"Jr.","given":"Alceu S.","family":"Britto","sequence":"additional","affiliation":[{"name":"Pontifical Catholic University of Parana (PUCPR), Curitiba, Parana, Brazil"},{"name":"State University of Ponta Grossa (UEPG), Ponta Grossa, Parana, Brazil"}]},{"given":"Fabricio","family":"Enembreck","sequence":"additional","affiliation":[{"name":"Pontifical Catholic University of Parana (PUCPR), Curitiba, Parana, Brazil"}]},{"given":"Robert","family":"Sabourin","sequence":"additional","affiliation":[{"name":"\u00c9cole de Technologie Sup\u00e9rieure (\u00c9TS), Montreal, Quebec, Canada"}]},{"given":"Luiz S.","family":"Oliveira","sequence":"additional","affiliation":[{"name":"Federal University of Parana (UFPR), Curitiba, Parana, Brazil"}]}],"member":"219","published-online":{"date-parts":[[2020,6,18]]},"reference":[{"key":"p_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF00058655"},{"key":"p_2","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1024691352"},{"key":"p_3","doi-asserted-by":"publisher","DOI":"10.1109\/34.709601"},{"key":"p_4","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2014.05.003"},{"key":"p_5","doi-asserted-by":"publisher","DOI":"10.1109\/34.667881"},{"key":"p_10","doi-asserted-by":"publisher","DOI":"10.1111\/coin.12249"},{"key":"p_11","doi-asserted-by":"publisher","DOI":"10.1016\/0378-8733(78)90021-7"},{"key":"p_13","doi-asserted-by":"publisher","DOI":"10.1080\/0022250X.1972.9989806"},{"key":"p_19","doi-asserted-by":"publisher","DOI":"10.1080\/08839519508945477"},{"issue":"2","key":"p_21","first-page":"255","volume":"17","author":"Alcal\u00e1-Fdez J.","year":"2011","journal-title":"Journal of Multiple-Valued Logic and Soft Computing"},{"key":"p_22","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-009-9124-7"},{"key":"p_27","first-page":"211","author":"Margineantu D. D.","year":"1997","journal-title":"CA, USA"}],"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213020600040","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,6,17]],"date-time":"2020-06-17T11:02:24Z","timestamp":1592391744000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213020600040"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":12,"journal-issue":{"issue":"03n04","published-print":{"date-parts":[[2020,6]]}},"alternative-id":["10.1142\/S0218213020600040"],"URL":"https:\/\/doi.org\/10.1142\/s0218213020600040","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,6]]}}}