Seuraa
Josua Krause
Josua Krause
PhD, UNDP
Vahvistettu sähköpostiosoite verkkotunnuksessa nyu.edu - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
4592016
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
2132014
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
1052015
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
1032017
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
862016
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, 1-6, 2017
852017
Using visual analytics to interpret predictive machine learning models
J Krause, A Perer, E Bertini
arXiv preprint arXiv:1606.05685, 2016
832016
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
362016
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
272018
Identifying and ranking risk factors using trained predictive models
J Krause, K Ng, A Perer
US Patent 11,355,246, 2022
222022
Interactive Visualization for Real-time Public Transport Journey Planning.
J Krause, M Spicker, L Wörteler, M Schäfer, L Zhang, H Strobelt
Sigrad 81, 95-98, 2012
172012
Patient-specific explanations for predictions of clinical outcomes
M Tajgardoon, MJ Samayamuthu, L Calzoni, S Visweswaran
ACI open 3 (02), e88-e97, 2019
92019
Identifying and ranking risk factors using trained predictive models
J Krause, K Ng, A Perer
US Patent 11,355,245, 2022
72022
Visual Exploration of Temporal Data in Electronic Medical Records.
J Krause, N Razavian, E Bertini, DA Sontag
AMIA, 2015
52015
Using Visual Analytics to Explain Black-Box Machine Learning
J Krause
New York University, 2018
22018
Interacting with Predictions
J KRAUSE
HUMAN FACTORS IN COMPUTING SYSTEMS, ACM 2, 10121-0701, 0
2
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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Artikkelit 1–18