{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T04:11:27Z","timestamp":1750824687456,"version":"3.41.0"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319651712"},{"type":"electronic","value":"9783319651729"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-65172-9_12","type":"book-chapter","created":{"date-parts":[[2017,8,1]],"date-time":"2017-08-01T04:38:54Z","timestamp":1501562334000},"page":"137-148","source":"Crossref","is-referenced-by-count":4,"title":["Boosted Residual Networks"],"prefix":"10.1007","author":[{"given":"Alan","family":"Mosca","sequence":"first","affiliation":[]},{"given":"George D.","family":"Magoulas","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,8,2]]},"reference":[{"issue":"2","key":"12_CR1","first-page":"123","volume":"24","author":"L Breiman","year":"1996","unstructured":"Breiman, L.: Bagging predictors. Mach. Learn. 24(2), 123\u2013140 (1996)","journal-title":"Mach. Learn."},{"key":"12_CR2","first-page":"933","volume":"4","author":"Y Freund","year":"2003","unstructured":"Freund, Y., Iyer, R., Schapire, R.E., Singer, Y.: An efficient boosting algorithm for combining preferences. J. Mach. Learn. Res. 4, 933\u2013969 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. arXiv preprint arXiv:1512.03385 (2015)","DOI":"10.1109\/CVPR.2016.90"},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Delving deep into rectifiers: surpassing human-level performance on imagenet classification. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 1026\u20131034 (2015)","DOI":"10.1109\/ICCV.2015.123"},{"key":"12_CR5","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Identity mappings in deep residual networks. arXiv preprint arXiv:1603.05027 (2016)","DOI":"10.1007\/978-3-319-46493-0_38"},{"key":"12_CR6","doi-asserted-by":"crossref","unstructured":"Huang, G., Liu, Z., Weinberger, K.Q.: Densely connected convolutional networks. arXiv preprint arXiv:1608.06993 (2016)","DOI":"10.1109\/CVPR.2017.243"},{"key":"12_CR7","unstructured":"Krizhevsky, A., Hinton, G.: Learning multiple layers of features from tiny images (2009)"},{"key":"12_CR8","unstructured":"Lecun, Y., Cortes, C.: The MNIST database of handwritten digits. http:\/\/yann.lecun.com\/exdb\/mnist\/"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Mosca, A., Magoulas, G.: Deep incremental boosting. In: Benzmuller, C., Sutcliffe, G., Rojas, R. (eds.) GCAI 2016, 2nd Global Conference on Artificial Intelligence. EPiC Series in Computing, vol. 41, pp. 293\u2013302. EasyChair (2016)","DOI":"10.29007\/qlvr"},{"key":"12_CR10","unstructured":"Mosca, A., Magoulas, G.D.: Regularizing deep learning ensembles by distillation. In: 6th International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2016), p. 53 (2016)"},{"key":"12_CR11","unstructured":"Mosca, A., Magoulas, G.D.: Training convolutional networks with weight-wise adaptive learning rates. In: ESANN 2017 Proceedings, European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Bruges, Belgium, 26\u201328 April 2017 (2017, in press). i6doc.com"},{"key":"12_CR12","first-page":"197","volume":"5","author":"RE Schapire","year":"1990","unstructured":"Schapire, R.E.: The strength of weak learnability. Mach. Learn. 5, 197\u2013227 (1990)","journal-title":"Mach. Learn."},{"key":"12_CR13","unstructured":"Schapire, R.E., Freund, Y.: Experiments with a new boosting algorithm. In: Machine Learning: Proceedings of the Thirteenth International Conference, pp. 148\u2013156 (1996)"},{"key":"12_CR14","unstructured":"Veit, A., Wilber, M., Belongie, S.: Residual networks behave like ensembles of relatively shallow networks. arXiv e-prints, May 2016"},{"key":"12_CR15","unstructured":"Yosinski, J., Clune, J., Bengio, Y., Lipson, H.: How transferable are features in deep neural networks? In: Advances in Neural Information Processing Systems, pp. 3320\u20133328 (2014)"}],"container-title":["Communications in Computer and Information Science","Engineering Applications of Neural Networks"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-65172-9_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,24]],"date-time":"2025-06-24T19:21:53Z","timestamp":1750792913000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-65172-9_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319651712","9783319651729"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-65172-9_12","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2017]]}}}