Complete list of publications

  1. A Versatile Graph-based Approach to Package Recommentation.

    Roberto Interdonato, Salvatore Romeo, Andrea Tagarelli, and George Karypis. IEEE International Conference on Tools with Artificial Intelligence, 2013.

  1. FISM: Factored Item Similarity Models for Top-N Recommender Systems.

    Santosh Kabbur, Xia Ning, and George Karypis. 19th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2013.

  1. AREM: A Novel Associative Regression Model Based on the EM Algorithm.

    Zhonghua Jiang and George Karypis. 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2013.

  1. Document Clustering: The Next Frontier.

    David C. Anastasiu and Andrea Tagarelli and George Karypis. UMN-CS&E TR 13-004, 2013.

  1. Multi-Threaded Graph Partitioning.

    Dominique LaSalle and George Karypis. 27th IEEE International Parallel & Distributed Processing Symposium, 2013.

  1. Pareto Optimal Pairwise Sequence Alignment.

    Kevin DeRonne and George Karypis. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2013.

  1. Multivariate analysis of cell culture bioprocess data--lactate consumption as process indicator.

    Huong Le and Santosh Kabbur and Luciano Pollastrini and Ziran Sun and Keri Mills and Kevin Johnson and George Karypis and Wei-Shou Hu. Journal of Biotechnology, 162, pp. 210-223, 2012.

  1. A segment-based approach to clustering multi-topic documents.

    Andrea Tagarelli and George Karypis. Knowledge and Information Systems, Sptember, 2012.

  1. Function Genomics of Nectar Production in Brassicaceae.

    R. Bender, P. Klinkenberg, Z. Jiang, B. Bauer, G. Karypis, N. Nguyen, M. Perera, B. Nikolau, and C. Carter. Flora: Morphology, Distribution, Functional Ecology of Plants Volume 207, Issue 7, pp. 491-496, 2012.

  1. Multi-view learning via probabilistic latent semantic analysis .

    Fuzhen Zhuang, George Karypis, Xia Ning, Qing He, and Zhongzhi Shi. Information Sciences, 199; pp. 20-30, 2012.

  1. Improved Machine Learning Models for Predicting Selective Compounds.

    Xia Ning and George Karypis. Journal of Chemical Information and Modeling, 58, pp. 38-50, 2012.