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Calibrate: Interactive Analysis of Probabilistic Model Output

Calibrate: Interactive Analysis of Probabilistic Model Output

27 July 2022
Peter Xenopoulos
Joao Rulff
L. G. Nonato
Brian Barr
Claudio Silva
ArXiv (abs)PDFHTML

Papers citing "Calibrate: Interactive Analysis of Probabilistic Model Output"

8 / 8 papers shown
Title
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks
Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks
Aidan Furlong
Farah Alsafadi
S. Palmtag
Andrew Godfrey
Xu Wu
137
1
0
27 Jun 2024
A Unified Interactive Model Evaluation for Classification, Object
  Detection, and Instance Segmentation in Computer Vision
A Unified Interactive Model Evaluation for Classification, Object Detection, and Instance Segmentation in Computer Vision
Changjian Chen
Yukai Guo
Fengyuan Tian
Siyi Liu
Weikai Yang
Zhao-Ming Wang
Jing Wu
Hang Su
Hanspeter Pfister
Shixia Liu
66
16
0
09 Aug 2023
Visual Analytics For Machine Learning: A Data Perspective Survey
Visual Analytics For Machine Learning: A Data Perspective Survey
Junpeng Wang
Shixia Liu
Wei Zhang
HAI
87
20
0
15 Jul 2023
SuperNOVA: Design Strategies and Opportunities for Interactive
  Visualization in Computational Notebooks
SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks
Zijie J. Wang
David Munechika
Seongmin Lee
Duen Horng Chau
98
10
0
04 May 2023
Notable: On-the-fly Assistant for Data Storytelling in Computational
  Notebooks
Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks
Haotian Li
Lu Ying
Haidong Zhang
Yingcai Wu
Huamin Qu
Yun Wang
LMTD
98
25
0
07 Mar 2023
Evaluating Probabilistic Classifiers: The Triptych
Evaluating Probabilistic Classifiers: The Triptych
Timo Dimitriadis
T. Gneiting
Alexander I. Jordan
Peter Vogel
UQCV
84
11
0
25 Jan 2023
"Understanding Robustness Lottery": A Geometric Visual Comparative
  Analysis of Neural Network Pruning Approaches
"Understanding Robustness Lottery": A Geometric Visual Comparative Analysis of Neural Network Pruning Approaches
Zhimin Li
Shusen Liu
Xin Yu
Kailkhura Bhavya
Jie Cao
Diffenderfer James Daniel
P. Bremer
Valerio Pascucci
AAML
91
1
0
16 Jun 2022
Evaluating probabilistic classifiers: Reliability diagrams and score
  decompositions revisited
Evaluating probabilistic classifiers: Reliability diagrams and score decompositions revisited
Timo Dimitriadis
T. Gneiting
Alexander I. Jordan
80
64
0
07 Aug 2020
1