Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective

4 February 2017

Jun Zhu

Papers citing "Towards Better Analysis of Machine Learning Models: A Visual Analytics Perspective"

29 / 29 papers shown

Title
iGAiVA: Integrated Generative AI and Visual Analytics in a Machine Learning Workflow for Text Classification Yuanzhe Jin Adrian Carrasco-Revilla Min Chen VLM 37 1 0 24 Sep 2024
Visualization for Recommendation Explainability: A Survey and New Perspectives Mohamed Amine Chatti Mouadh Guesmi Arham Muslim XAI HAI LRM 33 5 0 19 May 2023
A Concurrent CNN-RNN Approach for Multi-Step Wind Power Forecasting Syed Kazmi Berk Görgülü Mucahit Cevik M. Baydogan 30 5 0 02 Jan 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
Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks Rusheng Pan Zhiyong Wang Yating Wei Han Gao Gongchang Ou Caleb Chen Cao Jinglin Xu Tong Xu Wei Chen GNN 18 4 0 21 Dec 2022
RMExplorer: A Visual Analytics Approach to Explore the Performance and the Fairness of Disease Risk Models on Population Subgroups Bum Chul Kwon U. Kartoun S. Khurshid Mikhail Yurochkin Subha Maity Deanna G. Brockman A. Khera P. Ellinor S. Lubitz Kenney Ng 30 11 0 14 Sep 2022
Trust Calibration as a Function of the Evolution of Uncertainty in Knowledge Generation: A Survey J. Boley Maoyuan Sun 27 0 0 09 Sep 2022
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury Amin Nayebi Sindhu Tipirneni Brandon Foreman Chandan K. Reddy V. Subbian 31 3 0 13 Aug 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization Chaoli Wang J. Han 41 36 0 13 Apr 2022
Learning-From-Disagreement: A Model Comparison and Visual Analytics Framework Junpeng Wang Liang Wang Yan Zheng Chin-Chia Michael Yeh Shubham Jain Wei Zhang FAtt 30 12 0 19 Jan 2022
Improving Visualization Interpretation Using Counterfactuals Smiti Kaul D. Borland Nan Cao David Gotz CML 10 17 0 21 Jul 2021
Explainable Machine Learning with Prior Knowledge: An Overview Katharina Beckh Sebastian Müller Matthias Jakobs Vanessa Toborek Hanxiao Tan Raphael Fischer Pascal Welke Sebastian Houben Laura von Rueden XAI 22 28 0 21 May 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 24 9 0 18 Mar 2021
Landscape of R packages for eXplainable Artificial Intelligence Szymon Maksymiuk Alicja Gosiewska P. Biecek XAI 30 21 0 24 Sep 2020
A Visual Analytics Approach for Exploratory Causal Analysis: Exploration, Validation, and Applications Xiao Xie F. Du Yingcai Wu CML 19 35 0 05 Sep 2020
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
Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics Wei Zeng Chengqiao Lin Juncong Lin Jincheng Jiang Jiazhi Xia Cagatay Turkay Wei Chen 27 27 0 30 Jul 2020
The Grammar of Interactive Explanatory Model Analysis Hubert Baniecki Dariusz Parzych P. Biecek 21 44 0 01 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 41 371 0 30 Apr 2020
A Visual Analytics System for Multi-model Comparison on Clinical Data Predictions Yiran Li Takanori Fujiwara Y. Choi Katherine K. Kim K. Ma OOD 24 27 0 18 Feb 2020
Speculative Execution for Guided Visual Analytics F. Sperrle J. Bernard Michael Sedlmair Daniel A. Keim Mennatallah El-Assady 17 20 0 07 Aug 2019
Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections Mennatallah El-Assady Rebecca Kehlbeck C. Collins Daniel A. Keim Oliver Deussen 24 43 0 01 Aug 2019
LassoNet: Deep Lasso-Selection of 3D Point Clouds Zhutian Chen Wei Zeng Zhiguang Yang Lingyun Yu Chi-Wing Fu Huamin Qu 3DPC 31 44 0 31 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
Explaining Anomalies Detected by Autoencoders Using SHAP Liat Antwarg Ronnie Mindlin Miller Bracha Shapira Lior Rokach FAtt TDI 19 86 0 06 Mar 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
Do Convolutional Neural Networks Learn Class Hierarchy? B. Alsallakh Amin Jourabloo Mao Ye Xiaoming Liu Liu Ren 42 210 0 17 Oct 2017
A Workflow for Visual Diagnostics of Binary Classifiers using Instance-Level Explanations Josua Krause Aritra Dasgupta Jordan Swartz Yindalon Aphinyanagphongs E. Bertini FAtt 11 95 0 04 May 2017