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.
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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. R., 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
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
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
UPM: Discovering course enrollment sequences associated with success
Elbadrawy, A. & 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. 373-382 10 p. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Students
Labels
Entropy
Planning
A virtual memory manager optimized for node-level cooperative multi-tasking in memory constrained systems
Iverson, J. & Karypis, G., Sep 1 2018, In : International Journal of High Performance Computing Applications. 32, 5, p. 744-759 16 p.Research output: Contribution to journal › Article
Virtual Memory
Multitasking
Constrained Systems
Managers
Message passing
Detecting significant genotype–phenotype association rules in bipolar disorder: market research meets complex genetics
Breuer, R., Mattheisen, M., Frank, J., Krumm, B., Treutlein, J., Kassem, L., Strohmaier, J., Herms, S., Mühleisen, T. W., Degenhardt, F., Cichon, S., Nöthen, M. M., Karypis, G., Kelsoe, J., Greenwood, T., Nievergelt, C., Shilling, P., Shekhtman, T., Edenberg, H., Craig, D. & 32 others, Dec 1 2018, In : International Journal of Bipolar Disorders. 6, 1, 24.Research output: Contribution to journal › Article
Marketing
Bipolar Disorder
Genome-Wide Association Study
Genetic Research
Data Mining
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