{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T04:56:05Z","timestamp":1725857765268},"publisher-location":"Cham","reference-count":21,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319337463"},{"type":"electronic","value":"9783319337470"}],"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\/978-3-319-33747-0_7","type":"book-chapter","created":{"date-parts":[[2016,6,18]],"date-time":"2016-06-18T14:51:55Z","timestamp":1466261515000},"page":"67-76","source":"Crossref","is-referenced-by-count":2,"title":["Selection of Negative Examples for Node Label Prediction Through Fuzzy Clustering Techniques"],"prefix":"10.1007","author":[{"given":"Marco","family":"Frasca","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dario","family":"Malchiodi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,6,19]]},"reference":[{"issue":"1","key":"7_CR1","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1038\/75556","volume":"25","author":"M Ashburner","year":"2000","unstructured":"Ashburner, M., Ball, C.A., Blake, J.A., Botstein, D., Butler, H., Cherry, J.M., Davis, A.P., Dolinski, K., Dwight, S.S., Eppig, J.T., et al.: Gene ontology: tool for the unification of biology. Nat. Genet. 25(1), 25\u201329 (2000)","journal-title":"Nat. Genet."},{"key":"7_CR2","doi-asserted-by":"crossref","unstructured":"Bertoni, A., Frasca, M., Valentini, G.: Cosnet: A cost sensitive neural network for semi-supervised learning in graphs. In: Machine Learning and Knowledge Discovery in Databases\u2014European Conference, ECML PKDD 2011, Athens, Greece, 5\u20139 September 2011. Proceedings, Part I. LNAI, vol. 6911, pp. 219\u2013234. Springer-Verlag (2011)","DOI":"10.1007\/978-3-642-23780-5_24"},{"issue":"2","key":"7_CR3","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/0098-3004(84)90020-7","volume":"10","author":"JC Bezdek","year":"1984","unstructured":"Bezdek, J.C., Ehrlich, R., Full, W.: Fcm: the fuzzy c-means clustering algorithm. Comput. Geosci. 10(2), 191\u2013203 (1984)","journal-title":"Comput. Geosci."},{"issue":"1","key":"7_CR4","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"issue":"1","key":"7_CR5","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1007\/s00138-013-0514-0","volume":"25","author":"GJ Burghouts","year":"2014","unstructured":"Burghouts, G.J., Schutte, K., Bouma, H., den Hollander, R.J.M.: Selection of negative samples and two-stage combination of multiple features for action detection in thousands of videos. Mach. Vis. Appl. 25(1), 85\u201398 (2014)","journal-title":"Mach. Vis. Appl."},{"issue":"21","key":"7_CR6","doi-asserted-by":"crossref","first-page":"2858","DOI":"10.1016\/j.fss.2006.07.006","volume":"157","author":"RJGB Campello","year":"2006","unstructured":"Campello, R.J.G.B., Hruschka, E.R.: A fuzzy extension of the silhouette width criterion for cluster analysis. Fuzzy Sets Syst. 157(21), 2858\u20132875 (2006)","journal-title":"Fuzzy Sets Syst."},{"key":"7_CR7","unstructured":"Fagni, T., Sebastiani, F.: On the selection of negative examples for hierarchical text categorization. In: Proceedings of the 3rd Language & Technology Conference (LTC07). pp. 24\u201328 (2007)"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Ferretti, E., Errecalde, M.L., Anderka, M., Stein, B.: On the use of reliable-negatives selection strategies in the PU learning approach for quality flaws prediction in wikipedia. In: 2014 25th International Workshop on Database and Expert Systems Applications (DEXA), pp. 211\u2013215 (2014)","DOI":"10.1109\/DEXA.2014.52"},{"key":"7_CR9","doi-asserted-by":"crossref","first-page":"84","DOI":"10.1016\/j.neunet.2013.01.021","volume":"43","author":"M Frasca","year":"2013","unstructured":"Frasca, M., Bertoni, A., Re, M., Valentini, G.: A neural network algorithm for semi-supervised node label learning from unbalanced data. Neural Netw. 43, 84\u201398 (2013)","journal-title":"Neural Netw."},{"key":"7_CR10","doi-asserted-by":"crossref","unstructured":"Gomez, S.M., Noble, W.S., Rzhetsky, A.: Learning to predict protein-protein interactions from protein sequences. Bioinformatics 19(15), 1875\u20131881 (2003)","DOI":"10.1093\/bioinformatics\/btg352"},{"issue":"8","key":"7_CR11","doi-asserted-by":"crossref","first-page":"2554","DOI":"10.1073\/pnas.79.8.2554","volume":"79","author":"JJ Hopfield","year":"1982","unstructured":"Hopfield, J.J.: Neural networks and physical systems with emergent collective compatational abilities. Proc. Natl. Acad. Sci. 79(8), 2554\u20132558 (1982)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"7_CR12","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316801","volume-title":"Finding Groups in Data","author":"L Kaufman","year":"1990","unstructured":"Kaufman, L., Rousseeuw, P.J.: Finding Groups in Data. Wiley, New York (1990)"},{"issue":"3","key":"7_CR13","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1007\/s10994-007-5018-6","volume":"68","author":"HT Lin","year":"2007","unstructured":"Lin, H.T., Lin, C.J., Weng, R.C.: A note on Platt\u2019s probabilistic outputs for support vector machines. Mach. Learn. 68(3), 267\u2013276 (2007)","journal-title":"Mach. Learn."},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"Liu, B., Dai, Y., Li, X., Lee, W.S., Yu, P.S.: Building text classifiers using positive and unlabeled examples. In: Third IEEE International Conference on Data Mining, 2003. ICDM 2003. pp. 179\u2013186 (2003)","DOI":"10.1109\/ICDM.2003.1250918"},{"key":"7_CR15","unstructured":"Lov\u00e1sz, L.: Random walks on graphs: A survey. In: Combinatorics, Paul Erd\u0151s is Eighty. pp. 353\u2013397 (1993)"},{"issue":"5696","key":"7_CR16","doi-asserted-by":"crossref","first-page":"630","DOI":"10.1126\/science.306.5696.630","volume":"306","author":"E Marshall","year":"2004","unstructured":"Marshall, E.: Getting the noise out of gene arrays. Science 306(5696), 630\u2013631 (2004)","journal-title":"Science"},{"issue":"12","key":"7_CR17","doi-asserted-by":"crossref","first-page":"e51947","DOI":"10.1371\/journal.pone.0051947","volume":"7","author":"S Mostafavi","year":"2012","unstructured":"Mostafavi, S., Goldenberg, A., Morris, Q.: Labeling nodes using three degrees of propagation. PLoS ONE 7(12), e51947 (2012)","journal-title":"PLoS ONE"},{"key":"7_CR18","unstructured":"Mostafavi, S., Morris, Q.: Using the gene ontology hierarchy when predicting gene function. In: Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence. pp. 419\u2013427 (2009)"},{"key":"7_CR19","doi-asserted-by":"crossref","first-page":"80","DOI":"10.2307\/3001968","volume":"1","author":"F Wilcoxon","year":"1945","unstructured":"Wilcoxon, F.: Individual comparisons by ranking methods. Biom. Bull. 1, 80\u201383 (1945)","journal-title":"Biom. Bull."},{"key":"7_CR20","doi-asserted-by":"crossref","unstructured":"Youngs, N., Penfold-Brown, D., Drew, K., Shasha, D., Bonneau, R.: Parametric bayesian priors and better choice of negative examples improve protein function prediction. Bioinformatics 29(9), tt10\u201398 (2013)","DOI":"10.1093\/bioinformatics\/btt110"},{"key":"7_CR21","unstructured":"Zhu, X., Ghahramani, Z., Lafferty, J.: Semi-supervised learning using gaussian fields and harmonic functions. In: ICML. pp. 912\u2013919 (2003)"}],"container-title":["Smart Innovation, Systems and Technologies","Advances in Neural Networks"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-33747-0_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,6,24]],"date-time":"2017-06-24T16:39:11Z","timestamp":1498322351000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-33747-0_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319337463","9783319337470"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-33747-0_7","relation":{},"ISSN":["2190-3018","2190-3026"],"issn-type":[{"type":"print","value":"2190-3018"},{"type":"electronic","value":"2190-3026"}],"subject":[],"published":{"date-parts":[[2016]]}}}