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AMIA ... Annual Symposium Proceedings. AMIA Symposium|August 13, 2008
Peptide identification in whole-sample mass spectrometry proteomicsRichard Pelikan, Milos HauskrechtSummit on Translational Bioinformatics|February 25, 2011
Inter-session reproducibility measures for high-throughput data sourcesMilos Hauskrecht, Richard PelikanIEEE/ACM Transactions on Computational Biology and Bioinformatics|February 13, 2010
Efficient peak-labeling algorithms for whole-sample mass spectrometry proteomicsRichard Pelikan, Milos HauskrechtBioinformatics (Oxford, England)|September 4, 2007
Intersession reproducibility of mass spectrometry profiles and its effect on accuracy of multivariate classification modelsRichard Pelikan, William L Bigbee, David Malehorn, et al.Cancer Informatics|March 24, 2009
Assessing the statistical significance of the achieved classification error of classifiers constructed using serum peptide profiles, and a prescription for random sampling repeated studies for massive high-throughput genomic and proteomic studiesJames Lyons-Weiler, Richard Pelikan, Herbert J Zeh, et al.Proceedings of the ... International Florida AI Research Society Conference. Florida AI Research Symposium|July 21, 2017
Efficient Learning of Classification Models from Soft-label Information by Binning and RankingYanbing Xue, Milos HauskrechtProceedings of the ... International Florida AI Research Society Conference. Florida AI Research Symposium|May 21, 2010
Distance Metric Learning for Conditional Anomaly DetectionMichal Valko, Milos HauskrechtProceedings of the ... International Florida AI Research Society Conference. Florida AI Research Symposium|February 12, 2019
Multivariate Conditional Outlier Detection: Identifying Unusual Input-Output Associations in DataCharmgil Hong, Milos HauskrechtProceedings of Machine Learning Research|October 29, 2021
Event Outlier Detection in Continuous TimeSiqi Liu, Milos HauskrechtProceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence|August 16, 2016
Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical DataZitao Liu, Milos HauskrechtPageof 9