Josua Krause
TitleCited byYear
Interacting with predictions: Visual inspection of black-box machine learning models
J Krause, A Perer, K Ng
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016
1212016
INFUSE: interactive feature selection for predictive modeling of high dimensional data
J Krause, A Perer, E Bertini
IEEE transactions on visualization and computer graphics 20 (12), 1614-1623, 2014
882014
Supporting iterative cohort construction with visual temporal queries
J Krause, A Perer, H Stavropoulos
IEEE transactions on visualization and computer graphics 22 (1), 91-100, 2015
512015
Towards understanding human similarity perception in the analysis of large sets of scatter plots
AV Pandey, J Krause, C Felix, J Boy, E Bertini
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems …, 2016
342016
A workflow for visual diagnostics of binary classifiers using instance-level explanations
J Krause, A Dasgupta, J Swartz, Y Aphinyanaphongs, E Bertini
2017 IEEE Conference on Visual Analytics Science and Technology (VAST), 162-172, 2017
302017
Using visual analytics to interpret predictive machine learning models
J Krause, A Perer, E Bertini
arXiv preprint arXiv:1606.05685, 2016
272016
Interpreting black-box classifiers using instance-level visual explanations
P Tamagnini, J Krause, A Dasgupta, E Bertini
Proceedings of the 2nd Workshop on Human-In-the-Loop Data Analytics, 6, 2017
252017
Seekaview: An intelligent dimensionality reduction strategy for navigating high-dimensional data spaces
J Krause, A Dasgupta, JD Fekete, E Bertini
2016 IEEE 6th Symposium on Large Data Analysis and Visualization (LDAV), 11-19, 2016
162016
Interactive visualization for real-time public transport journey planning
J Krause, M Spicker, L Wörteler, M Schäfer, L Zhang, H Strobelt
Proceedings of SIGRAD 2012; Interactive Visual Analysis of Data; November 29 …, 2012
92012
A User Study on the Effect of Aggregating Explanations for Interpreting Machine Learning Models
J Krause, A Perer, E Bertini
In Proceedings of KDD 2018 Workshop on Interactive Data Exploration and …, 2018
32018
Using Visual Analytics to Explain Black-Box Machine Learning
J Krause
New York University, 2018
22018
Visual Exploration of Temporal Data in Electronic Medical Records.
J Krause, N Razavian, E Bertini, D Sontag
AMIA, 2015
22015
Identifying and ranking risk factors using trained predictive models
J Krause, K Ng, A Perer
US Patent App. 15/172,512, 2017
2017
Identifying and ranking risk factors using trained predictive models
J Krause, K Ng, A Perer
US Patent App. 15/144,948, 2017
2017
Graph Comics: Interactive Staging for Exploring Dynamic Graphs
J Krause
University of Konstanz, 2014
2014
Annotation of Changes in Evolving Graphs
J Krause
University of Konstanz, 2011
2011
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Articles 1–16