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Projects 2004 2023

computer science

REU Site: Computational Methods for Discovery Driven by

Karypis, G., Jensen, K. & Larson, A. C.

National Science Foundation

4/1/183/31/21

Project: Research project

Computational methods
Big data

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 proceedingConference 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 proceedingConference 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 proceedingConference 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 proceedingConference 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 journalArticle

Feature extraction
Students
performance
student
public institution

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

Dataset