Complete list of publications

  1. Truss Decomposition on Shared-Memory Parallel Systems.

    Shaden Smith, Xing Liu, Nesreen K. Ahmed, Ancy Sarah Tom, Fabrizio Petrini, and George Karypis. IEEE High Performance Extreme Computing Conference (HPEC), 2017.

  1. Accelerating the Tucker Decomposition with Compressed Sparse Tensors.

    Shaden Smith and George Karypis. European Conference on Parallel Processing, 653-668, 2017.

  1. Constrained Tensor Factorization with Accelerated AO-ADMM.

    Shaden Smith, Alec Beri, and George Karypis. 46th International Conference on Parallel Processing (ICPP), 2017.

  1. Enriching Course-Specific Regression Models with Content Features for Grade Prediction.

    Qian Hu, Agoritsa Polyzou, George Karypis, and Huzefa Rangwala. IEEE International Conference on Data Science and Advanced Analytics (DSAA), 2017.

  1. Context-Aware Recommendation-Based Learning Analytics Using Tensor and Coupled Matrix Factorization.

    Faisal M. Almutairi, Nicholas D. Sidiropoulos, and George Karypis. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, VOL. 11, NO. 5, 2017.

  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 Specifi 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.