Projects per year
Fingerprint The fingerprint is based on mining the text of the scientific documents related to the associated persons. Based on that an index of weighted terms is created, which defines the key subjects of research unit
Robots
Engineering & Materials Science
Communication
Engineering & Materials Science
Data storage equipment
Engineering & Materials Science
Recommender systems
Engineering & Materials Science
Experiments
Engineering & Materials Science
Servers
Engineering & Materials Science
Sensors
Engineering & Materials Science
Robotics
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Phillip Barry
- College of Science & Engineering, Computer Science and Engineering - Senior Lecturer
Person: Teaching Faculty
Mike E Bazakos
- College of Science & Engineering, Computer Science and Engineering - Researcher 5
Person: Researcher
Projects 1998 2023
XPS: Full: Collaborative Research: Enabling Scalable Cloud and Edge-device Integration Using Cross-layer Parallelism
Qian, F.
11/1/18 → 8/31/20
Project: Research project
BIGDATA: F: Advancing Deep Learning to Monitor Global Change
Kumar, V., Pardey, P. G., Senay, S. D., Steinbach, M. S. & Wilgenbusch, J. C.
11/1/18 → 10/31/21
Project: Research project
Learning
computer science
Research Output 1970 2019
A formally verified transformation to unify multiple nested clocks for a Lustre-like language
Shi, G., Zhang, Y., Shang, S., Wang, S., Dong, Y. & Yew, P-C., Jan 1 2019, In : Science China Information Sciences. 62, 1, 12801.Research output: Contribution to journal › Article
Clocks
[Un]breaking news: Design opportunities for enhancing collaboration in scientific media production
Smith, C. E., Wang, X., Karumur, R. P. & Zhu, H., Apr 20 2018, CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Association for Computing Machinery, Vol. 2018-April.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Human computer interaction
Pipelines
Recommender systems
Innovation
A cautionary note on decadal sea level pressure predictions from GCMs
Liess, S., Snyder, P. K., Kumar, A. & Kumar, V., Mar 1 2018, In : Advances in Climate Change Research. 9, 1, p. 43-56 14 p.Research output: Contribution to journal › Article
sea level pressure
general circulation model
prediction
CMIP
train
Datasets
ableC: Extensible Specification of C Using the Silver Attribute Grammar System
Carlson, T. (Creator), Kaminski, T. (Creator), Kramer, L. (Creator), Van Wyk, E. (Creator), Data Repository for the University of Minnesota, 2017
DOI: 10.13020/D6VQ25, https://doi.org/10.13020/D6VQ25
Dataset
Understanding How People Use Natural Language to Ask for Recommendations: Query Dataset
Chang, S. (Creator), Condiff, K. (Creator), Harper, M. (Creator), Kang, J. (Creator), Konstan, J. A. (Creator), Terveen, L. G. (Creator), Data Repository for the University of Minnesota, 2017
DOI: 10.13020/D6VT0F, https://doi.org/10.13020/D6VT0F
Dataset
Silver: an Attribute Grammar System
Kaminski, T. (Creator), Van Wyk, E. (Creator), Data Repository for the University of Minnesota, 2017
DOI: 10.13020/D6QX07, https://doi.org/10.13020/D6QX07
Dataset