N. S. Altman, An introduction to kernel and nearest-neighbor nonparametric regression. The American Statistician, pp.175-185, 1992.

Y. Bengio, Learning Deep Architectures for AI, Foundations and Trends?? in Machine Learning, vol.2, issue.1, pp.1-127, 2009.
DOI : 10.1561/2200000006

J. E. Blumenstock, Size matters, Proceeding of the 17th international conference on World Wide Web , WWW '08, pp.1095-1096, 2008.
DOI : 10.1145/1367497.1367673

L. Breiman, J. Friedman, C. J. Stone, and R. A. Olshen, Classification and regression trees, 1984.

D. H. Dalip, H. Lima, M. A. Gonçalves, M. Cristo, and P. Calado, Quality assessment of collaborative content with minimal information, IEEE/ACM Joint Conference on Digital Libraries, pp.201-210, 2014.
DOI : 10.1109/JCDL.2014.6970169

B. De-la-robertie, Y. Pitarch, and O. Teste, Measuring Article Quality in Wikipedia using the Collaboration Network, Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015, ASONAM '15, pp.464-471, 2015.
DOI : 10.1145/2808797.2808895

P. Dondio, S. Barrett, S. Weber, and J. M. Seigneur, Extracting Trust from Domain Analysis: A Case Study on the Wikipedia Project, Proc. of ATC, pp.362-373, 2006.
DOI : 10.1007/11839569_35

A. Halfaker and D. Taraborelli, Artificial intelligence service gives Wikipedians 'x-ray specs' to see through bad edits. https://blog.wikimedia.org, pp.2016-2020, 2015.

D. Hasan-dalip, M. A. Gonçalves, M. Cristo, and P. Calado, Automatic quality assessment of content created collaboratively by web communities, Proceedings of the 2009 joint international conference on Digital libraries, JCDL '09, pp.295-304, 2009.
DOI : 10.1145/1555400.1555449

L. Holman-rector, Comparison of Wikipedia and other encyclopedias for accuracy, breadth, and depth in historical articles Reference services review, pp.7-22, 2008.

. Vuong, Measuring article quality in Wikipedia: models and evaluation, Proc. of CIKM, pp.243-252, 2007.

Q. V. Le and T. Mikolov, Distributed representations of sentences and documents, Proc. of ICML, pp.1188-1196, 2014.

S. Lee and J. Y. Choeh, Predicting the helpfulness of online reviews using multilayer perceptron neural networks, Expert Systems with Applications, vol.41, issue.6, pp.3041-3046, 2014.
DOI : 10.1016/j.eswa.2013.10.034

N. D. Lewis, Build Your Own Neural Network Today, 2015.

E. Lex, M. Voelske, M. Errecalde, E. Ferretti, L. Cagnina et al., Measuring the quality of web content using factual information, Proceedings of the 2nd Joint WICOW/AIRWeb Workshop on Web Quality, WebQuality '12, pp.7-10, 2012.
DOI : 10.1145/2184305.2184308

Y. Suzuki, Quality Assessment of Wikipedia Articles Using h-index, Journal of Information Processing, vol.23, issue.1, pp.22-30, 2015.
DOI : 10.2197/ipsjjip.23.22

Y. Suzuki and M. Yoshikawa, Mutual evaluation of editors and texts for assessing quality of Wikipedia articles, Proc. of WikiSym, pp.1-1810, 2012.

M. Warncke-wang, V. R. Ayukaev, B. Hecht, and L. G. Terveen, The Success and Failure of Quality Improvement Projects in Peer Production Communities, Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing, CSCW '15, pp.743-756, 2015.
DOI : 10.1145/2675133.2675241

M. Warncke-wang, D. Cosley, and J. , Tell me more, Proceedings of the 9th International Symposium on Open Collaboration, WikiSym '13, pp.1-810, 2013.
DOI : 10.1145/2491055.2491063

G. Wu, M. Harrigan, and P. Cunningham, Classifying Wikipedia articles using network motif counts and ratios, Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration, WikiSym '12, pp.1-1210, 2012.
DOI : 10.1145/2462932.2462948

Y. Xu and T. Luo, Measuring article quality in Wikipedia: Lexical clue model, Proc. of SWS, pp.141-146, 2011.