{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,9,13]],"date-time":"2023-09-13T07:50:39Z","timestamp":1694591439146},"reference-count":32,"publisher":"Elsevier BV","issue":"1","license":[{"start":{"date-parts":[[2003,3,1]],"date-time":"2003-03-01T00:00:00Z","timestamp":1046476800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information Fusion"],"published-print":{"date-parts":[[2003,3]]},"DOI":"10.1016\/s1566-2535(02)00100-8","type":"journal-article","created":{"date-parts":[[2003,2,17]],"date-time":"2003-02-17T18:07:53Z","timestamp":1045505273000},"page":"3-10","source":"Crossref","is-referenced-by-count":14,"title":["Automatic model selection in cost-sensitive boosting"],"prefix":"10.1016","volume":"4","author":[{"given":"Stefano","family":"Merler","sequence":"first","affiliation":[]},{"given":"Cesare","family":"Furlanello","sequence":"additional","affiliation":[]},{"given":"Barbara","family":"Larcher","sequence":"additional","affiliation":[]},{"given":"Andrea","family":"Sboner","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"issue":"2","key":"10.1016\/S1566-2535(02)00100-8_BIB1","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1162\/089976600300015808","article-title":"Classifier performance assessment","volume":"12","author":"Adams","year":"2000","journal-title":"Neural Computat."},{"key":"10.1016\/S1566-2535(02)00100-8_BIB2","doi-asserted-by":"crossref","first-page":"460","DOI":"10.1111\/j.1365-2133.1994.tb03378.x","article-title":"Application of an artificial neural network in epiluminescence microscopy pattern analysis of pigmented skin lesion: a pilot study","volume":"130","author":"Binder","year":"1994","journal-title":"Brit. J. Dermatol."},{"key":"10.1016\/S1566-2535(02)00100-8_BIB3","doi-asserted-by":"crossref","first-page":"556","DOI":"10.1097\/00008390-200012000-00007","article-title":"Computer-aided epiluminescence microscopy of pigmented skin lesions: the value of clinical data for the classification process","volume":"10","author":"Binder","year":"2000","journal-title":"Melanoma Res."},{"key":"10.1016\/S1566-2535(02)00100-8_BIB4","doi-asserted-by":"crossref","unstructured":"L. Bischof, H. Talbot, E. Breen, D. Lovell, D. Chan, G. Stone, S. Menzies, A. Gutenev, R. Caffin, An automated melanoma diagnosis system, in: B. Pham, M. Braun, A. Maeder, M. Eckert (Eds.), New Approaches in Medical Image Analysis, SPIE, 1999","DOI":"10.1117\/12.351632"},{"key":"10.1016\/S1566-2535(02)00100-8_BIB5","doi-asserted-by":"crossref","unstructured":"E. Blanzieri, C. Eccher, S. Forti, A. Sboner, Exploiting classifier combination for early melanoma diagnosis support, in: R. de Mantaras, E. Plaza (Eds.), Proceedings of ECML-2000 Springer-Verlag, Berlin, 2000, pp. 55\u201362","DOI":"10.1007\/3-540-45164-1_7"},{"key":"10.1016\/S1566-2535(02)00100-8_BIB6","series-title":"Classification and Regression Trees","author":"Breiman","year":"1984"},{"issue":"2","key":"10.1016\/S1566-2535(02)00100-8_BIB7","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1007\/BF00058655","article-title":"Bagging predictors","volume":"24","author":"Breiman","year":"1996","journal-title":"Machine Learn."},{"key":"10.1016\/S1566-2535(02)00100-8_BIB8","series-title":"Combining Artificial Neural Nets: Ensemble and Modular Multi-Net Systems","first-page":"31","article-title":"Combining predictors","author":"Breiman","year":"1999"},{"issue":"2","key":"10.1016\/S1566-2535(02)00100-8_BIB9","doi-asserted-by":"crossref","first-page":"139","DOI":"10.1023\/A:1007607513941","article-title":"An experimental comparison of three methods for constructing ensembles of decision trees: bagging, boosting, and randomization","volume":"40","author":"Dietterich","year":"2000","journal-title":"Machine Learn."},{"key":"10.1016\/S1566-2535(02)00100-8_BIB10","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1006\/jbin.2001.1004","article-title":"A comparison of machine learning methods for the diagnosis of pigmented skin lesions","volume":"34","author":"Dreiseitl","year":"2001","journal-title":"J. Biomed. Inform."},{"key":"10.1016\/S1566-2535(02)00100-8_BIB11","doi-asserted-by":"crossref","unstructured":"B. Efron, R. Tibshirani, An introduction to the bootstrap, vol. 57 of Monographs on Statistics and Applied Probability. Chapman & Hall, Inc., New York, 1993","DOI":"10.1007\/978-1-4899-4541-9_3"},{"key":"10.1016\/S1566-2535(02)00100-8_BIB12","unstructured":"B. Efron, R. Tibshirani, Cross-validation and the bootstrap: estimating the error rate of a prediction rule, Tech. Rep., Standford University, 1995"},{"key":"10.1016\/S1566-2535(02)00100-8_BIB13","doi-asserted-by":"crossref","first-page":"837","DOI":"10.1109\/10.312091","article-title":"Neural network diagnosis of malignant melanoma from color images","volume":"4","author":"Ercal","year":"1994","journal-title":"IEEE Trans. Biomed. Engng."},{"key":"10.1016\/S1566-2535(02)00100-8_BIB14","unstructured":"W. Fan, S. Stolfo, J. Zhang, P. Chan, Adacost: Misclassification cost-sensitive boosting, in: Proceedings of ICML-99, 1999"},{"key":"10.1016\/S1566-2535(02)00100-8_BIB15","unstructured":"Y. Freund, R. Schapire, Experiments with a new boosting algorithm, in: Machine Learning: Proceedings of the Thirteenth International Conference, 1996, pp. 148\u2013156"},{"issue":"1","key":"10.1016\/S1566-2535(02)00100-8_BIB16","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1006\/jcss.1997.1504","article-title":"A decision-theoretic generalization of online learning and an application to boosting","volume":"55","author":"Freund","year":"1997","journal-title":"J. Comput. Syst. Sci."},{"issue":"3","key":"10.1016\/S1566-2535(02)00100-8_BIB17","first-page":"824","article-title":"Discussion of the paper arcing classifiers by leo breiman","volume":"26","author":"Freund","year":"1998","journal-title":"Ann. Stat."},{"issue":"5","key":"10.1016\/S1566-2535(02)00100-8_BIB18","first-page":"771","article-title":"A short introduction to boosting","volume":"14","author":"Freund","year":"1999","journal-title":"J. Jpn. Soc. Artif. Intell."},{"key":"10.1016\/S1566-2535(02)00100-8_BIB19","unstructured":"J. Friedman, P. Hall, On bagging and nonlinear estimation, Tech. Rep., Stanford University, 2000"},{"key":"10.1016\/S1566-2535(02)00100-8_BIB20","doi-asserted-by":"crossref","unstructured":"J. Friedman, T. Hastie, R. Tibshirani, Additive logistic regression: a statistical view of boosting, Tech. Rep., Stanford University, 1999","DOI":"10.1214\/aos\/1016218223"},{"key":"10.1016\/S1566-2535(02)00100-8_BIB21","series-title":"Boosting of tree-based classifiers for predictive risk modeling in GIS","first-page":"220","volume":"1857","author":"Furlanello","year":"2000"},{"key":"10.1016\/S1566-2535(02)00100-8_BIB22","doi-asserted-by":"crossref","first-page":"958","DOI":"10.1016\/S0190-9622(94)70264-0","article-title":"Computer image analysis in the diagnosis of melanoma","volume":"31","author":"Green","year":"1994","journal-title":"J. Am. Acad. Dermatol."},{"key":"10.1016\/S1566-2535(02)00100-8_BIB23","series-title":"Optimizing classifiers for imbalanced training sets","volume":"11","author":"Karakoulas","year":"1999"},{"key":"10.1016\/S1566-2535(02)00100-8_BIB24","unstructured":"D. Margineantu, T. Dietterich, Bootstrap methods for the cost-sensitive evaluation of classifiers, in: Proceedings of ICML-2000, Morgan Kaufmann, 2000, pp. 583\u2013590"},{"issue":"3","key":"10.1016\/S1566-2535(02)00100-8_BIB25","first-page":"378","article-title":"Epiluminescence microscopy diagnostic criteria with follow-up computer-based monitoring of \u201cless suspicious\u201d lesion may increase sensitivity for the diagnosis of melanoma while maintaining adequate specificity","volume":"137","author":"Menzies","year":"2001","journal-title":"Arch. Dermatol."},{"key":"10.1016\/S1566-2535(02)00100-8_BIB26","unstructured":"J. Quinlan, Bagging, boosting, and c4.5, in: Proceedings of the Thirteenth National Conference on Artificial Intelligence, 1996. pp. 725\u2013730"},{"issue":"5","key":"10.1016\/S1566-2535(02)00100-8_BIB27","doi-asserted-by":"crossref","first-page":"1651","DOI":"10.1214\/aos\/1024691352","article-title":"Boosting the margin: a new explanation for the effectiveness of voting methods","volume":"26","author":"Schapire","year":"1998","journal-title":"Ann. Stat."},{"key":"10.1016\/S1566-2535(02)00100-8_BIB28","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/S0190-9622(98)70070-2","article-title":"Digital videomicroscopy improves diagnostic accuracy for melanoma","volume":"39","author":"Seidenari","year":"1998","journal-title":"J. Am. Acad. Dermatol."},{"issue":"1","key":"10.1016\/S1566-2535(02)00100-8_BIB29","first-page":"1","article-title":"Classification of melanocytic lesions with colour and texture analyses using digital image processing","volume":"15","author":"Shindenwolf","year":"1993","journal-title":"Int. Acad. Cytol.; Analyt. Quantitat. Cytol. Histol."},{"key":"10.1016\/S1566-2535(02)00100-8_BIB30","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1016\/0190-9622(95)90344-5","article-title":"A rudimentary system for automatic discrimination among basic skin lesions on the basis of color analysis of video images","volume":"32","author":"Takiwaki","year":"1995","journal-title":"J. Am. Acad. Dermatol."},{"key":"10.1016\/S1566-2535(02)00100-8_BIB31","doi-asserted-by":"crossref","unstructured":"K. Ting, A comparative study of cost-sensitive boosting algorithms, in: M. Kaufmann (Ed.), Proceedings of ICML-2000, 2000, pp. 983\u2013990","DOI":"10.1007\/3-540-45164-1_42"},{"key":"10.1016\/S1566-2535(02)00100-8_BIB32","doi-asserted-by":"crossref","unstructured":"K. Ting, An empirical study of metacost using boosting algorithms, in: R. de Mantaras, E. Plaza, (Eds.), Proceedings of ECML-2000, Springer-Verlag, Berlin, 2000, pp. 983\u2013990","DOI":"10.1007\/3-540-45164-1_42"}],"container-title":["Information Fusion"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253502001008?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S1566253502001008?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T14:25:14Z","timestamp":1622730314000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S1566253502001008"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,3]]},"references-count":32,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2003,3]]}},"alternative-id":["S1566253502001008"],"URL":"https:\/\/doi.org\/10.1016\/s1566-2535(02)00100-8","relation":{},"ISSN":["1566-2535"],"issn-type":[{"value":"1566-2535","type":"print"}],"subject":[],"published":{"date-parts":[[2003,3]]}}}