VMS: Interactive Visualization to Support the Sensemaking and Selection of Predictive Models-Reference-Cited by-同舟云学术

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VMS: Interactive Visualization to Support the Sensemaking and Selection of Predictive Models

Published:2024-03-18 Issue: Volume:9 Page:229-244
ISSN:
Container-title:Proceedings of the 29th International Conference on Intelligent User Interfaces
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Author:

He Chen¹^ORCID,Raj Vishnu²^ORCID,Moen Hans²^ORCID,Gröhn Tommi²^ORCID,Wang Chen³^ORCID,Peltonen Laura-Maria⁴^ORCID,Koivusalo Saila⁵^ORCID,Marttinen Pekka²^ORCID,Jacucci Giulio¹^ORCID

Affiliation:

1. Department of Computer Science, University of Helsinki, Finland

2. Department of Computer Science, Aalto University, Finland

3. Harbin Engineering University, China and Harbin Institute of Technology, China

4. University of Turku, Finland

5. Helsinki University Hospital, Finland

Funder

the Strategic Research Council at the Research Council of Finland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3640543.3645151

Reference45 articles.

1. A User‐based Visual Analytics Workflow for Exploratory Model Analysis

2. A survey of surveys on the use of visualization for interpreting machine learning models

3. StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metrics

4. StrategyAtlas: Strategy Analysis for Machine Learning Interpretability

5. The Hugging Face Company. 2016. AutoTrain – Hugging Face. https://huggingface.co/autotrain.

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