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
Recent external collaboration on country level. Dive into details by clicking on the dots.
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
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
III: Medium: High-Performance Factorization Tools for Co
Karypis, G. & Sidiropoulos, N.
9/1/17 → 8/31/21
Project: Research project
Research Output 1992 2019
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
Memory architecture
Data storage equipment
Communication
Parallel algorithms
Decomposition
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
2
Citations
(Scopus)
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
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
Curricula
Education
Students
curriculum
education
1
Citation
(Scopus)
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
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, G., Ramaraj, T., Sharma, M., Silverstein, K. A., Vishwanathan, N., Fu, H., Data Repository for the University of Minnesota, 2016
DOI: 10.13020/D6Z304, http://dx.doi.org/10.13020/D6Z304
Dataset