{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T10:17:13Z","timestamp":1729678633052,"version":"3.28.0"},"reference-count":20,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014,12]]},"DOI":"10.1109\/cidm.2014.7008674","type":"proceedings-article","created":{"date-parts":[[2015,1,19]],"date-time":"2015-01-19T21:45:11Z","timestamp":1421703911000},"page":"241-248","source":"Crossref","is-referenced-by-count":2,"title":["Dependency network methods for Hierarchical Multi-label Classification of gene functions"],"prefix":"10.1109","author":[{"given":"Fabio","family":"Fabris","sequence":"first","affiliation":[]},{"given":"Alex A.","family":"Freitas","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.4324\/9780203137802","author":"lomax","year":"2013","journal-title":"Statistical Concepts A Second Course"},{"key":"ref11","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1093\/nar\/gkh036","article-title":"The Gene Ontology Consortium. The Gene Ontology (GO) database and informatics resource","volume":"32","year":"2004","journal-title":"Nucleic Acids Research"},{"key":"ref12","first-page":"142","article-title":"The Uniprot Consortium. The Universal Protein Resource (UniProt)","year":"2010","journal-title":"Nucleic acids research 38"},{"key":"ref13","first-page":"653","article-title":"Relational Dependency Networks","volume":"8","author":"neville","year":"2007","journal-title":"Journal of Machine Learning Research"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1093\/nar\/gkh894"},{"key":"ref15","first-page":"1","article-title":"Collective Classification in Network Data","author":"sen","year":"2008","journal-title":"AI Magazine"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-010-0175-9"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2006.178"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3115\/1073445.1073478"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-008-5077-3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/DEXA.2014.29"},{"key":"ref3","first-page":"1","article-title":"Statistical Comparisons of Classifiers over Multiple Data Sets","volume":"7","author":"demsar","year":"2006","journal-title":"Journal of Machine Learning Research"},{"key":"ref6","first-page":"129","article-title":"Robust Classification using Mixtures of Dependency Net-works","author":"gamez","year":"2008","journal-title":"Proceedings of the Fourth European Workshop on Probabilistic Graphical Models"},{"key":"ref5","first-page":"115","article-title":"Dependency networks based classifiers: learning models by using independence tests","author":"gamez","year":"2006","journal-title":"3rd European Workshop on Probabilistic Graphical Models (PGM06)"},{"key":"ref8","first-page":"1300","article-title":"Multi-label classification using conditional dependency networks","volume":"2","author":"guo","year":"2011","journal-title":"Proceedings of the 22nd Inte Joint Conf on Artificial Intelligence"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.1984.4767596"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143874"},{"key":"ref1","first-page":"451","article-title":"Page. Area under the precision-recall curve: Point estimates and confidence intervals","author":"kendrick","year":"2013","journal-title":"Machine Learning and Knowledge Discovery in Databases volume 8190 of Lecture Notes in Computer Science"},{"key":"ref9","first-page":"49","article-title":"Dependency Networks for Inference, Collaborative Filtering, and Data Visualization","volume":"1","author":"heckerman","year":"2001","journal-title":"The Journal of Machine Learning Research"},{"key":"ref20","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1007\/11527862_24","article-title":"Learning Classifiers Using Hierarchically Structured Class Tax-onomies","author":"wu","year":"2005","journal-title":"Abstraction Reformulation and Approximation"}],"event":{"name":"2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)","start":{"date-parts":[[2014,12,9]]},"location":"Orlando, FL, USA","end":{"date-parts":[[2014,12,12]]}},"container-title":["2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7000188\/7008136\/07008674.pdf?arnumber=7008674","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,19]],"date-time":"2019-08-19T17:41:48Z","timestamp":1566236508000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7008674\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014,12]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/cidm.2014.7008674","relation":{},"subject":[],"published":{"date-parts":[[2014,12]]}}}