A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations

4 May 2017

Josua Krause

Aritra Dasgupta

Jordan Swartz

Yindalon Aphinyanagphongs

E. Bertini

FAtt

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Papers citing "A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations"

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Title
MLMC: Interactive multi-label multi-classifier evaluation without confusion matrices Aleksandar Doknic Torsten Moller HAI 42 0 0 24 Jan 2025
TRIVEA: Transparent Ranking Interpretation using Visual Explanation of Black-Box Algorithmic Rankers Jun Yuan Kaustav Bhattacharjee A. Islam Aritra Dasgupta 25 2 0 28 Aug 2023
The State of the Art in Enhancing Trust in Machine Learning Models with the Use of Visualizations Angelos Chatzimparmpas R. Martins I. Jusufi K. Kucher Fabrice Rossi A. Kerren FAtt 26 160 0 22 Dec 2022
ModSandbox: Facilitating Online Community Moderation Through Error Prediction and Improvement of Automated Rules Jean Y. Song Sangwook Lee Jisoo Lee Mina Kim Juho Kim 34 11 0 18 Oct 2022
HetVis: A Visual Analysis Approach for Identifying Data Heterogeneity in Horizontal Federated Learning Xumeng Wang Wei Chen Jiazhi Xia Zhen Wen Rongchen Zhu Tobias Schreck FedML 26 20 0 16 Aug 2022
Are Metrics Enough? Guidelines for Communicating and Visualizing Predictive Models to Subject Matter Experts Ashley Suh G. Appleby Erik W. Anderson Luca A. Finelli Remco Chang Dylan Cashman 35 8 0 11 May 2022
Black-box Error Diagnosis in Deep Neural Networks for Computer Vision: a Survey of Tools Piero Fraternali Federico Milani Rocio Nahime Torres Niccolò Zangrando AAML 33 9 0 17 Jan 2022
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers Zunlei Feng Jiacong Hu Sai Wu Xiaotian Yu Mingli Song Xiuming Zhang 40 13 0 09 Dec 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 24 9 0 18 Mar 2021
A Survey of Visual Analytics Techniques for Machine Learning Jun Yuan Changjian Chen Weikai Yang Mengchen Liu Jiazhi Xia Shixia Liu 21 216 0 21 Aug 2020
Explainable Matrix -- Visualization for Global and Local Interpretability of Random Forest Classification Ensembles Mário Popolin Neto F. Paulovich FAtt 33 88 0 08 May 2020
ViCE: Visual Counterfactual Explanations for Machine Learning Models Oscar Gomez Steffen Holter Jun Yuan E. Bertini AAML 57 93 0 05 Mar 2020
Explaining Data-Driven Decisions made by AI Systems: The Counterfactual Approach Carlos Fernandez F. Provost Xintian Han CML 19 69 0 21 Jan 2020
explAIner: A Visual Analytics Framework for Interactive and Explainable Machine Learning Thilo Spinner U. Schlegel H. Schäfer Mennatallah El-Assady HAI 15 234 0 29 Jul 2019
Visual Interaction with Deep Learning Models through Collaborative Semantic Inference Sebastian Gehrmann Hendrik Strobelt Robert Krüger Hanspeter Pfister Alexander M. Rush HAI 21 57 0 24 Jul 2019
The What-If Tool: Interactive Probing of Machine Learning Models James Wexler Mahima Pushkarna Tolga Bolukbasi Martin Wattenberg F. Viégas Jimbo Wilson VLM 57 483 0 09 Jul 2019
FairVis: Visual Analytics for Discovering Intersectional Bias in Machine Learning Ángel Alexander Cabrera Will Epperson Fred Hohman Minsuk Kahng Jamie Morgenstern Duen Horng Chau FaML 19 183 0 10 Apr 2019
VINE: Visualizing Statistical Interactions in Black Box Models M. Britton FAtt 22 21 0 01 Apr 2019
A User-based Visual Analytics Workflow for Exploratory Model Analysis Dylan Cashman S. Humayoun Florian Heimerl Kendall Park Subhajit Das ... Abigail Mosca J. Stasko Alex Endert Michael Gleicher Remco Chang 21 41 0 27 Sep 2018
RuleMatrix: Visualizing and Understanding Classifiers with Rules Yao Ming Huamin Qu E. Bertini FAtt 20 214 0 17 Jul 2018
The Challenge of Crafting Intelligible Intelligence Daniel S. Weld Gagan Bansal 26 241 0 09 Mar 2018