Complete list of publications
-
Sparse Linear Methods with Side Information for Top-N Recommendations.
Xia Ning and George Karypis. 6th ACM Recommender Systems Conference (RecSys), 2012.
-
Computational Tools for Protein-DNA Interactions.
Chris Kauffman and George Karypis. WIREs Data Mining and Knowledge Discovery, 2(1): 14-28, 2012.
-
Improved Machine Learning Models for Predicting Selective Compounds.
Xia Ning, Michael Walters, and George Karypis. ACM Conference on Bioinformatics, Computational Biology and Biomedicine. Chicago, 2011.
-
Automatic Detection of Vaccine Adverse Reactions by Incorporating Historical Medical Conditions.
Zhonghua Jiang and George Karypis. ACM Conference on Bioinformatics, Computational Biology and Biomedicine. Chicago, 2011.
-
A Comprehensive Survey of Neighborhood-based Recommendation Methods.
Christian Desrosiers and George Karypis. Recommender Systems Handbook, pp. 107-144, 2011.
-
Multi-task Learning for Recommender Systems.
Xia Ning and George Karypis. 2nd Asian Conference on Machine Learning (ACML), 2010.
-
Content-Based Methods for Predicting Web-Site Demographic Attributes.
Santosh Kabbur, Eui-Hong Han, and George Karypis. 10th IEEE International Conference on Data Mining (ICDM), 2010.
-
Assessing Synthetic Accessibility of Chemical Compounds Using Machine Learning Methods.
Yevgeniy Podolyan, Michael Walters, and George Karypis. Journal of Chemical Information and Modeling, Vol. 50, pp. 979—991, 2010.
|
|