Projects per year
Fingerprint The Fingerprint is created by mining the titles and abstracts of the person's research outputs and projects/funding awards to create an index of weighted terms from discipline-specific thesauri.
- 2 Similar Profiles
Recommender systems
Engineering & Materials Science
Data storage equipment
Engineering & Materials Science
Factorization
Engineering & Materials Science
Data mining
Engineering & Materials Science
Proteins
Engineering & Materials Science
Tensors
Engineering & Materials Science
Parallel algorithms
Engineering & Materials Science
Chemical compounds
Engineering & Materials Science
Network
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Projects 2004 2023
Collaborative Research: Reliable Materials Simulation based on the Knowledgebase of Interatomic Models (KIM)
Tadmor, E. B., Elliott, R. S. & Karypis, G.
10/1/18 → 9/30/22
Project: Research project
simulation
computer science
High-Performance Static and Streaming Tensor Factorization Algorithms
8/10/18 → 2/9/20
Project: Research project
Factorization
Tensors
REU Site: Computational Methods for Discovery Driven by
Karypis, G., Jensen, K. & Larson, A. C.
4/1/18 → 3/31/21
Project: Research project
Computational methods
Big data
University of Minnesota Clinical and Translational Scien
Blazar, B. R., AbuSalah, A. M., Adam, T. J., Aliferis, MD, PhD, C., Allen, J., Beckman, K. B., Billings, J. L., Bloomfield, H. E., Bornsztein, B., Brearley, A. M., Call, K. T., Chi, C., Clancy, T. R., Connett, J. E., Daniels, B. S., Eder, M., El-Fakahany, E. E., Fischer, G., Fulkerson, J., Garwood, M., Georgopoulos, A. P., Guan, W., Henderson, J. N., Hodges, J. S., Ingbar, D. H., Jones-Webb, R. J., Jordan, C., Karypis, G., Knights, D., Kumar, V., LeBien, T. W., Lim, K. O., Ma, S., Melton-Meaux, G. B., Myers, C. L., Neuhauser, C., Oakes, M., Okuyemi, K., Pakhomov, S. V., Panoskaltsis-Mortari, A., Pieczkiewicz, D. S., Raymond, N. C., Riggs, S., Rudser, K., Ruggles, S., Schacker, T. W., Schleiss, M. R., Shekhar, S., Shen, S., Simon, G. J., Ugurbil, K., Vock, D. M., Volkov, B. B., Wang, J., Warren, J. R., Weber-Main, A. M., Weisdorf, D. J., Wolf, S. M., Zellmer-Bruhn, M. E. & Zhang, R.
NIH NAT'L CTR FOR ADVANCING TRAN SCIENCE
3/30/18 → 2/28/23
Project: Research project
science
Research Output 1970 2019
Adaptive matrix completion for the users and the items in tail
Sharma, M. & Karypis, G., May 13 2019, The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, Inc, p. 3223-3229 7 p. (The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Factorization
Collaborative filtering
Recommender systems
A study on curriculum planning and its relationship with graduation GPA and time to degree
Morsy, S. & Karypis, G., Mar 4 2019, Proceedings of the 9th International Conference on Learning Analytics and Knowledge: Learning Analytics to Promote Inclusion and Success, LAK 2019. Association for Computing Machinery, p. 26-35 10 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Curricula
Students
Planning
Feature Extraction for Next-Term Prediction of Poor Student Performance
Polyzou, A. & Karypis, G., Apr 1 2019, In : IEEE Transactions on Learning Technologies. 12, 2, p. 237-248 12 p., 8700250.Research output: Contribution to journal › Article
Feature extraction
Students
performance
student
public institution
Parallel cosine nearest neighbor graph construction
Anastasiu, D. C. & Karypis, G., Jul 1 2019, In : Journal of Parallel and Distributed Computing. 129, p. 61-82 22 p.Research output: Contribution to journal › Article
Nearest Neighbor Graph
Recommender systems
Data mining
Marketing
Data storage equipment
Recwalk: Nearly uncoupled random walks for top-n recommendation
Nikolakopoulos, A. & Karypis, G., Jan 30 2019, WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 150-158 9 p. (WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Markov processes
Experiments
Deep neural networks
Datasets
Regions of High Confidence in Chinese Hamster and CHO-K1 Genome Assemblies
Bandyopadhyay, A., Fu, H., Hu, W., Jacob, N. M., Johnson, K., Karypis, G., Le, H., Mudge, J., Onsongo, G., Ramaraj, T., Sharma, M., Silverstein, K. A., Vishwanathan, N., Data Repository for the University of Minnesota, 2016
DOI: 10.13020/D6Z304, http://dx.doi.org/10.13020/D6Z304
Dataset