If you made any changes in Pure, your changes will be visible here soon.

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

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 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 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

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

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 journalArticle

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 proceedingConference 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

Dataset