Diagnosing Concept Drift with Visual Analytics

28 July 2020

Papers citing "Diagnosing Concept Drift with Visual Analytics"

7 / 7 papers shown

Title
Learning under Concept Drift: A Review Jie Lu Anjin Liu Fan Dong Feng Gu João Gama Guangquan Zhang AI4TS 21 1,262 0 13 Apr 2020
OoDAnalyzer: Interactive Analysis of Out-of-Distribution Samples Changjian Chen Jun Yuan Yafeng Lu Yang Liu Hang Su Songtao Yuan Shixia Liu OODD 26 64 0 08 Feb 2020
Analyzing the Noise Robustness of Deep Neural Networks Kelei Cao Mengchen Liu Hang Su Jing Wu Jun Zhu Shixia Liu AAML 94 89 0 26 Jan 2020
RuleMatrix: Visualizing and Understanding Classifiers with Rules Yao Ming Huamin Qu E. Bertini FAtt 28 215 0 17 Jul 2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records Bum Chul Kwon Min-Je Choi J. Kim Edward Choi Young Bin Kim Soonwook Kwon Jimeng Sun Jaegul Choo 42 252 0 28 May 2018
Visual Analytics for Explainable Deep Learning Jaegul Choo Shixia Liu HAI XAI 30 236 0 07 Apr 2018
Towards Better Analysis of Deep Convolutional Neural Networks Mengchen Liu Jiaxin Shi Zerui Li Chongxuan Li Jun Zhu Shixia Liu HAI 56 473 0 24 Apr 2016