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
Recent external collaboration on country level. Dive into details by clicking on the dots.
Projects
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
High-Performance Static and Streaming Tensor Factorization Algorithms
8/10/18 → 2/9/21
Project: Research project
REU Site: Computational Methods for Discovery Driven by
Karypis, G., Larson, A. C. & Suma Rosenberg, E.
4/1/18 → 3/31/21
Project: Research project
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
Research Output
A 2D parallel triangle counting algorithm for distributed-memory architectures
Tom, A. S. & Karypis, G., Aug 5 2019, Proceedings of the 48th International Conference on Parallel Processing, ICPP 2019. Association for Computing Machinery, a45. (ACM International Conference Proceeding Series).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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
2
Scopus
citations
A self-attentive model for knowledge tracing
Pandey, S. & Karypis, G., Jan 1 2019, EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining. Lynch, C. F., Merceron, A., Desmarais, M. & Nkambou, R. (eds.). International Educational Data Mining Society, p. 384-389 6 p. (EDM 2019 - Proceedings of the 12th International Conference on Educational Data Mining).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1
Scopus
citations
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
4
Scopus
citations
Causal inference in higher education: Building better curriculums
Kaur, P., Polyzou, A. & Karypis, G., Jun 24 2019, Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019. Association for Computing Machinery, Inc, (Proceedings of the 6th 2019 ACM Conference on Learning at Scale, L@S 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access
Datasets
Regions of High Confidence in Chinese Hamster and CHO-K1 Genome Assemblies
Bandyopadhyay, A., Hu, W., Jacob, N. M., Johnson, K., Karypis, G., Le, H., Mudge, J., Onsongo, I. G., Ramaraj, T., Sharma, M., Silverstein, K., Vishwanathan, N. & Fu, H., Data Repository for the University of Minnesota, 2016
DOI: 10.13020/D6Z304, http://dx.doi.org/10.13020/D6Z304
Dataset
Press / Media
UMN researchers’ graph could find COVID-19 treatments
George Karypis & Vasileios Ioannidis
6/1/20
1 item of Media coverage
Press/Media: Research