RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

28 May 2018

Jimeng Sun

Papers citing "RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records"

42 / 92 papers shown

Title
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 54 95 0 01 Jul 2021
Explaining Time Series Predictions with Dynamic Masks Jonathan Crabbé M. Schaar FAtt AI4TS 23 80 0 09 Jun 2021
VisQA: X-raying Vision and Language Reasoning in Transformers Theo Jaunet Corentin Kervadec Romain Vuillemot G. Antipov M. Baccouche Christian Wolf 19 26 0 02 Apr 2021
Explainable Adversarial Attacks in Deep Neural Networks Using Activation Profiles G. Cantareira R. Mello F. Paulovich AAML 24 9 0 18 Mar 2021
Sibyl: Understanding and Addressing the Usability Challenges of Machine Learning In High-Stakes Decision Making Alexandra Zytek Dongyu Liu R. Vaithianathan K. Veeramachaneni 19 46 0 02 Mar 2021
Risk factor identification for incident heart failure using neural network distillation and variable selection Yikuan Li Shishir Rao M. Mamouei G. Salimi-Khorshidi D. Canoy A. Hassaine Thomas Lukasiewicz Kazem Rahimi 9 0 0 17 Feb 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 92 480 0 03 Feb 2021
An explainable Transformer-based deep learning model for the prediction of incident heart failure Shishir Rao Yikuan Li R. Ramakrishnan A. Hassaine D. Canoy J. Cleland Thomas Lukasiewicz G. Salimi-Khorshidi K. Rahimi MedIm 18 70 0 27 Jan 2021
UNSW-NB15 Computer Security Dataset: Analysis through Visualization Zeinab Zoghi G. Serpen 8 41 0 13 Jan 2021
RAMPVIS: Towards a New Methodology for Developing Visualisation Capabilities for Large-scale Emergency Responses M. Chen A. Abdul-Rahman D. Archambault J. Dykes A. Slingsby ... Jonathan C. Roberts F. Vidal Q. Wang Jo Wood K. Xu 12 7 0 08 Dec 2020
Qualitative Investigation in Explainable Artificial Intelligence: A Bit More Insight from Social Science Adam J. Johs Denise E. Agosto Rosina O. Weber 12 6 0 13 Nov 2020
A novel method for Causal Structure Discovery from EHR data, a demonstration on type-2 diabetes mellitus Xinpeng Shen Sisi Ma P. Vemuri Regina Castro P. Caraballo György J. Simon CML 14 1 0 11 Nov 2020
HypperSteer: Hypothetical Steering and Data Perturbation in Sequence Prediction with Deep Learning Chuan-Chi Wang K. Ma OOD LLMSV 24 3 0 04 Nov 2020
A Visual Analytics Framework for Explaining and Diagnosing Transfer Learning Processes Yuxin Ma Arlen Fan Jingrui He A. R. Nelakurthi Ross Maciejewski 14 25 0 15 Sep 2020
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations F. Sperrle Mennatallah El-Assady G. Guo Duen Horng Chau Alex Endert Daniel A. Keim 16 18 0 14 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
Diagnosing Concept Drift with Visual Analytics Weikai Yang Zhuguo Li Mengchen Liu Yafeng Lu Kelei Cao Ross Maciejewski Shixia Liu 47 33 0 28 Jul 2020
Deep Contextual Clinical Prediction with Reverse Distillation Rohan Kodialam Rebecca Boiarsky Justin Lim Neil Dixit Aditya Sai David Sontag 20 25 0 10 Jul 2020
Survey on Visual Analysis of Event Sequence Data Yi Guo Shunan Guo Zhuochen Jin Smiti Kaul David Gotz Nan Cao AI4TS 29 103 0 25 Jun 2020
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data B. Shickel Parisa Rashidi AI4TS 30 17 0 27 Apr 2020
What went wrong and when? Instance-wise Feature Importance for Time-series Models S. Tonekaboni Shalmali Joshi Kieran Campbell David Duvenaud Anna Goldenberg FAtt OOD AI4TS 51 14 0 05 Mar 2020
Do ML Experts Discuss Explainability for AI Systems? A discussion case in the industry for a domain-specific solution J. Ferreira Mateus de Souza Monteiro 14 7 0 27 Feb 2020
Interpretability of machine learning based prediction models in healthcare Gregor Stiglic Primož Kocbek Nino Fijačko Marinka Zitnik K. Verbert Leona Cilar AI4CE 35 373 0 20 Feb 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
Comparative Visual Analytics for Assessing Medical Records with Sequence Embedding Rongchen Guo Takanori Fujiwara Yiran Li K. Lima S. Sen N. Tran K. Ma 14 31 0 18 Feb 2020
Analyzing the Noise Robustness of Deep Neural Networks Kelei Cao Mengchen Liu Hang Su Jing Wu Jun Zhu Shixia Liu AAML 60 89 0 26 Jan 2020
Visual Summary of Value-level Feature Attribution in Prediction Classes with Recurrent Neural Networks Chuan-Chi Wang Xumeng Wang K. Ma FAtt HAI 20 1 0 23 Jan 2020
TX-Ray: Quantifying and Explaining Model-Knowledge Transfer in (Un-)Supervised NLP Nils Rethmeier V. Saxena Isabelle Augenstein FAtt 25 2 0 02 Dec 2019
SANVis: Visual Analytics for Understanding Self-Attention Networks Cheonbok Park Inyoup Na Yongjang Jo Sungbok Shin J. Yoo Bum Chul Kwon Jian Zhao Hyungjong Noh Yeonsoo Lee Jaegul Choo HAI 35 38 0 13 Sep 2019
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning Theo Jaunet Romain Vuillemot Christian Wolf HAI 18 36 0 06 Sep 2019
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
Explaining Vulnerabilities to Adversarial Machine Learning through Visual Analytics Yuxin Ma Tiankai Xie Jundong Li Ross Maciejewski AAML 11 67 0 17 Jul 2019
Time2Vec: Learning a Vector Representation of Time Seyed Mehran Kazemi Rishab Goel Sepehr Eghbali J. Ramanan Jaspreet Sahota Sanjay Thakur Stella Wu Cathal Smyth Pascal Poupart Marcus A. Brubaker AI4TS 28 327 0 11 Jul 2019
What Clinicians Want: Contextualizing Explainable Machine Learning for Clinical End Use S. Tonekaboni Shalmali Joshi M. Mccradden Anna Goldenberg 28 382 0 13 May 2019
DPVis: Visual Analytics with Hidden Markov Models for Disease Progression Pathways Bum Chul Kwon V. Anand Kristen A. Severson S. Ghosh Zhaonan Sun B. Frohnert M. Lundgren Kenney Ng 14 48 0 26 Apr 2019
Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond N. Khan Nabila Abraham L. Guan 24 15 0 13 Feb 2019
CarePre: An Intelligent Clinical Decision Assistance System Zhuochen Jin Jingshun Yang Shuyuan Cui David Gotz Jimeng Sun Nan Cao 29 31 0 06 Nov 2018
Progressive Disclosure: Designing for Effective Transparency Aaron Springer Ling Huang 17 16 0 06 Nov 2018
Analyzing the Noise Robustness of Deep Neural Networks Mengchen Liu Shixia Liu Hang Su Kelei Cao Jun Zhu AAML 17 7 0 09 Oct 2018
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,929 0 17 Aug 2015