Enes Makalic, Daniel F. Schmidt, John L. Hopper. DEPTH: A Novel Algorithm for Feature Ranking with Application to Genome-Wide Association Studies. In Stephen Cranefield, Abhaya Nayak, editors, AI 2013: Advances in Artificial Intelligence - 26th Australasian Joint Conference, Dunedin, New Zealand, December 1-6, 2013. Proceedings. Volume 8272 of Lecture Notes in Computer Science, pages 80-85, Springer, 2013. [doi]
@inproceedings{MakalicSH13, title = {DEPTH: A Novel Algorithm for Feature Ranking with Application to Genome-Wide Association Studies}, author = {Enes Makalic and Daniel F. Schmidt and John L. Hopper}, year = {2013}, doi = {10.1007/978-3-319-03680-9_9}, url = {http://dx.doi.org/10.1007/978-3-319-03680-9_9}, researchr = {https://researchr.org/publication/MakalicSH13}, cites = {0}, citedby = {0}, pages = {80-85}, booktitle = {AI 2013: Advances in Artificial Intelligence - 26th Australasian Joint Conference, Dunedin, New Zealand, December 1-6, 2013. Proceedings}, editor = {Stephen Cranefield and Abhaya Nayak}, volume = {8272}, series = {Lecture Notes in Computer Science}, publisher = {Springer}, isbn = {978-3-319-03679-3}, }