{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T15:27:41Z","timestamp":1759332461622,"version":"3.37.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319333946"},{"type":"electronic","value":"9783319333953"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"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":[[2016]]},"DOI":"10.1007\/978-3-319-33395-3_7","type":"book-chapter","created":{"date-parts":[[2016,4,16]],"date-time":"2016-04-16T05:15:53Z","timestamp":1460783753000},"page":"90-104","source":"Crossref","is-referenced-by-count":3,"title":["Binary Relevance Multi-label Conformal Predictor"],"prefix":"10.1007","author":[{"given":"Antonis","family":"Lambrou","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Harris","family":"Papadopoulos","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,4,17]]},"reference":[{"key":"7_CR1","volume-title":"Algorithmic Learning in a Random World","author":"V Vovk","year":"2005","unstructured":"Vovk, V., Gammerman, A., Shafer, G.: Algorithmic Learning in a Random World. Springer, New York (2005)"},{"key":"7_CR2","unstructured":"Gammerman, A., Vovk, V., Vapnik, V.: Learning by transduction. In: Uncertainty in Artificial Intelligence, pp. 148\u2013155. Morgan Kaufmann (1998)"},{"key":"7_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-398537-8.00014-6","volume-title":"Conformal Prediction for Reliable Machine Learning","year":"2014","unstructured":"Balasubramanian, V.N., Ho, S.-S., Vovk, V. (eds.): Conformal Prediction for Reliable Machine Learning. Morgan Kaufmann, Boston (2014). doi: 10.1016\/B978-0-12-398537-8.00014-6 . http:\/\/www.sciencedirect.com\/science\/article\/pii\/B9780123985378000146 . ISBN 978-0-12-398537-8"},{"key":"7_CR4","unstructured":"Saunders, C., Gammerman, A., Vovk, V.: Transduction with confidence and credibility. In: Proceedings of the 16th International Joint Conference on Artificial Intelligence, vol. 2, pp. 722\u2013726. Morgan Kaufmann, Los Altos (1999)"},{"key":"7_CR5","doi-asserted-by":"crossref","first-page":"815","DOI":"10.1613\/jair.3198","volume":"40","author":"H Papadopoulos","year":"2011","unstructured":"Papadopoulos, H., Vovk, V., Gammerman, A.: Regression conformal prediction with nearest neighbours. J. Artif. Intell. Res. 40, 815\u2013840 (2011)","journal-title":"J. Artif. Intell. Res."},{"key":"7_CR6","series-title":"IFIP Advances in Information and Communication Technology","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/978-3-642-16239-8_8","volume-title":"Artificial Intelligence Applications and Innovations","author":"D Devetyarov","year":"2010","unstructured":"Devetyarov, D., Nouretdinov, I.: Prediction with confidence based on a random forest classifier. In: Papadopoulos, H., Andreou, A.S., Bramer, M. (eds.) AIAI 2010. IFIP AICT, vol. 339, pp. 37\u201344. Springer, Heidelberg (2010). doi: 10.1007\/978-3-642-16239-8_8"},{"issue":"4","key":"7_CR7","doi-asserted-by":"publisher","first-page":"247","DOI":"10.1142\/S012906570500027X","volume":"15","author":"T Bellotti","year":"2005","unstructured":"Bellotti, T., Luo, Z., Gammerman, A., Van Delft, F.W., Saha, V.: Qualified predictions for microarray and proteomics pattern diagnostics with confidence machines. Int. J. Neural Syst. 15(4), 247\u2013258 (2005)","journal-title":"Int. J. Neural Syst."},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Gammerman, A., Nouretdinov, I., Burford, B., Chervonenkis, A., Vovk, V., Luo, Z.: Clinical mass spectrometry proteomic diagnosis by conformal predictors. Stat. Appl. Genet. Mol. Biol. 7(2) (2008). http:\/\/dx.doi.org\/10.2202\/1544-6115.1385","DOI":"10.2202\/1544-6115.1385"},{"key":"7_CR9","series-title":"International Federation for Information Processing","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1007\/978-1-4419-0221-4_22","volume-title":"Artificial Intelligence Applications and Innovations III","author":"H Papadopoulos","year":"2009","unstructured":"Papadopoulos, H., Gammerman, A., Vovk, V.: Confidence predictions for the diagnosis of acute abdominal pain. In: Iliadis, Maglogiann, Tsoumakasis, Vlahavas, Bramer, (eds.) Artificial Intelligence Applications and Innovations III. IFIP, vol. 296, pp. 175\u2013184. Springer, US (2009)"},{"issue":"2\u20133","key":"7_CR10","first-page":"127","volume":"17","author":"H Papadopoulos","year":"2009","unstructured":"Papadopoulos, H., Gammerman, A., Vovk, V.: Reliable diagnosis of acute abdominal pain with conformal prediction. Int. J. Eng. Intell. Syst. Electr. Eng. Commun. 17(2\u20133), 127\u2013137 (2009). ISSN 1472\u20138915","journal-title":"Int. J. Eng. Intell. Syst. Electr. Eng. Commun."},{"issue":"1\u20132","key":"7_CR11","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1007\/s10472-013-9392-4","volume":"74","author":"VN Balasubramanian","year":"2015","unstructured":"Balasubramanian, V.N., Chakraborty, S., Panchanathan, S.: Conformal predictions for information fusion. Annals Math. Artif. Intell. 74(1\u20132), 45\u201365 (2015). doi: 10.1007\/s10472-013-9392-4 . ISSN 1012\u20132443","journal-title":"Annals Math. Artif. Intell."},{"key":"7_CR12","series-title":"IFIP Advances in Information and Communication Technology","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1007\/978-3-642-23960-1_51","volume-title":"Artificial Intelligence Applications and Innovations","author":"M Yang","year":"2011","unstructured":"Yang, M., Nouretdunov, I., Luo, Z., Gammerman, A.: Feature selection by conformal predictor. In: Iliadis, L., Maglogiannis, I., Papadopoulos, H. (eds.) EANN\/AIAI 2011, Part II. IFIP AICT, vol. 364, pp. 439\u2013448. Springer, Heidelberg (2011). doi: 10.1007\/978-3-642-23960-1_51 . ISBN 978-3-642-23959-5"},{"key":"7_CR13","first-page":"2007","volume":"1\u201313","author":"G Tsoumakas","year":"2007","unstructured":"Tsoumakas, G., Katakis, I.: Multi-label classification: an overview. Int. J. Data Warehouse. Min. 1\u201313, 2007 (2007)","journal-title":"Int. J. Data Warehouse. Min."},{"key":"7_CR14","series-title":"Advances in Soft Computing","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1007\/3-540-33521-8_30","volume-title":"Intelligent Information Processing and Web Mining","author":"A Wieczorkowska","year":"2006","unstructured":"Wieczorkowska, A., Synak, P., Ra\u015b, Z.W.: Multi-label classification of emotions in music. In: K\u0142opotek, M.A., Wierzcho\u0144, S.T., Trojanowski, K. (eds.) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol. 35, pp. 307\u2013315. Springer, Heidelberg (2006). doi: 10.1007\/3-540-33521-8_30 . ISBN 978-3-540-33520-7"},{"key":"7_CR15","series-title":"IFIP Advances in Information and Communication Technology","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1007\/978-3-662-44722-2_26","volume-title":"Artificial Intelligence Applications and Innovations","author":"H Papadopoulos","year":"2014","unstructured":"Papadopoulos, H.: A cross-conformal predictor for multi-label classification. In: Iliadis, L., Maglogiannis, I., Papadopoulos, H., Sioutas, S., Makris, C. (eds.) Artificial Intelligence Applications and Innovations. IFIP AICT, vol. 437, pp. 241\u2013250. Springer, Heidelberg (2014). doi: 10.1007\/978-3-662-44722-2_26 . ISBN 978-3-662-44721-5"},{"issue":"6","key":"7_CR16","doi-asserted-by":"publisher","first-page":"e99565","DOI":"10.1371\/journal.pone.0099565","volume":"9","author":"H Wang","year":"2014","unstructured":"Wang, H., Liu, X., Lv, B., Yang, F., Hong, Y.: Reliable multi-label learning via conformal predictor, random forest for syndrome differentiation of chronic fatigue in traditional chinese medicine. PLoS ONE 9(6), e99565 (2014)","journal-title":"PLoS ONE"},{"key":"7_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1007\/978-3-319-17091-6_19","volume-title":"Statistical Learning and Data Sciences","author":"H Wang","year":"2015","unstructured":"Wang, H., Liu, X., Nouretdinov, I., Luo, Z.: A comparison of three implementations of multi-label conformal prediction. In: Gammerman, A., Vovk, V., Papadopoulos, H. (eds.) Statistical Learning and Data Sciences. LNCS, vol. 9047, pp. 241\u2013250. Springer, Switzerland (2015). doi: 10.1007\/978-3-319-17091-6_19 . ISBN 978-3-319-17091-6"},{"key":"7_CR18","unstructured":"Papadopoulos, H., Vovk, V., Gammerman, A.: Qualified predictions for large data sets in the case of pattern recognition. In: Proceedings of the International Conference on Machine Learning and Applications (ICMLA 2002), pp. 159\u2013163. CSREA Press (2002)"},{"key":"7_CR19","doi-asserted-by":"crossref","unstructured":"Elisseeff, A., Weston, J.: A kernel method for multi-labelled classification. In: Advances in Neural Information Processing Systems 14, pp. 681\u2013687. MIT Press (2001)","DOI":"10.7551\/mitpress\/1120.003.0092"}],"container-title":["Lecture Notes in Computer Science","Conformal and Probabilistic Prediction with Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-33395-3_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,15]],"date-time":"2024-06-15T20:13:39Z","timestamp":1718482419000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-33395-3_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319333946","9783319333953"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-33395-3_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}