Complete list of publications

  1. Cumulative Knowledge-based Regression Models for Next-term Grade Prediction.

    Sara Morsy and George Karypis. SIAM Data Mining Conference (SDM), 2017.

  1. Grade Prediction with Course and Student Specific c Models.

    Agoritsa Polyzou and George Karypis. International Journal of Data Science and Analytics, 2016.

  1. Fast Parallel Cosine K-Nearest Neighbor Graph Construction.

    David Anastasiu and George Karypis. 6th Workshop on Irregular applications: Architectures and Algorithms, Supercomputing, 2016.

  1. Big Data and Recommender Systems.

    David Anastasiu, Evangelia Christakopoulou, Shaden Smith, Mohit Sharma, and George Karypis . Novatica: Journal of the Spanish Computer Scientist Association, no. 200, 2016.

  1. Augmenting Chinese hamster genome assembly by identifying regions of high confidence.

    Vishwanathan N., Bandyopadhyay A. Fu H. Sharma M., Johnson K., Mudge J. Ramaraj T., Onsongo G., Silverstein K., Jacob N., Le H., Karypis G., and Hu W.. Biotechnology Journal, 11, 2016.

  1. Predicting Student Performance Using Personalized Analytics.

    Asmaa Elbadrawy, Agoritsa Polyzou, Zhiyun Ren, Mackenzie Sweeney, George Karypis, and Huzefa Rangwala. IEEE Computer, pp. 61—69, April , 2016.

  1. Grade Prediction with Course and Student Specific Models.

    Agoritsa Polyzou and George Karypis. 20th Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2016.

  1. A Medium-Grained Algorithm for Distributed Sparse Tensor Factorization.

    Shaden Smith and George Karypis. 30th IEEE International Parallel & Distributed Processing Symposium (IPDPS), 2016.

  1. A Parallel Hill-Climbing Refinement Algorithm for Graph Partitioning.

    Dominique LaSalle and George Karypis. 45th International Conference on Parallel Processing (ICPP), 2016.

  1. An Exploration of Optimization Algorithms for High Performance Tensor Completion.

    Shaden Smith, Jongsoo Park, and George Karypis. Supercomputing (SC16) , 2016.

  1. Local Item-Item Models for Top-N Recommendation.

    Evangelia Christakopoulou and George Karypis. 10th ACM Conference on Recommender Systems (RecSys), 2016.

  1. Domain-Aware Grade Prediction and Top-N Course Recommendation.

    Asmaa Elbadrawy and George Karypis. 10th ACM Conference on Recommender Systems (RecSys), 2016.