1993 …2020
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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.

Learning Medicine & Life Sciences
Cues Medicine & Life Sciences
Uncertainty Medicine & Life Sciences
Cameras Engineering & Materials Science
Economics Engineering & Materials Science
Decision Making Medicine & Life Sciences
Decision making Engineering & Materials Science
Computer vision Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2005 2020

Research Output 1993 2019

Ten simple rules for organizing and running a successful intensive two-week course

Blohm, G., Schrater, P. R. & Körding, K., Jan 1 2019, In : Neural computation. 31, 1, p. 1-7 7 p.

Research output: Contribution to journalArticle

Organizing

Labeling images by interpretation from natural viewing

Guo, K., Pratt, D. N., MacDonald, A. & Schrater, P. R., Jan 1 2018, In : CEUR Workshop Proceedings. 2068

Research output: Contribution to journalConference article

Labeling
Labels
Processing

Predicting Contextual Influences on App Usage from a Rational Model of Time Allocation

Edge, R., Mussack, D., Böhmer, M. & Schrater, P. R., Oct 2 2018, 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018. Institute of Electrical and Electronics Engineers Inc., p. 95-99 5 p. 8480308

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Application programs
Mobile devices
Switches

Novelty learning via collaborative proximity filtering

Kumar, A. & Schrater, P. R., Mar 7 2017, IUI 2017 - Proceedings of the 22nd International Conference on Intelligent User Interfaces. Association for Computing Machinery, p. 601-610 10 p. (International Conference on Intelligent User Interfaces, Proceedings IUI).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Recommender systems
Innovation

Automatically discovering fatigue patterns from sparsely labelled temporal data

Guo, K. & Schrater, P. R., Mar 2 2016, Proceedings - 2015 IEEE 14th International Conference on Machine Learning and Applications, ICMLA 2015. Institute of Electrical and Electronics Engineers Inc., p. 351-355 5 p. 7424334

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Labels
Fatigue of materials
Classifiers