Explainable AI for clinical and remote health applications: a survey on tabular and time series data

14 September 2022

Papers citing "Explainable AI for clinical and remote health applications: a survey on tabular and time series data"

21 / 21 papers shown

Title
Application of Sensitivity Analysis Methods for Studying Neural Network Models Jiaxuan Miao Sergey Matveev AAML 35 0 0 21 Apr 2025
Representation Learning for Tabular Data: A Comprehensive Survey Jun-Peng Jiang Si-Yang Liu Hao-Run Cai Qile Zhou Han-Jia Ye LMTD 46 0 0 17 Apr 2025
Explainable AI for Clinical Outcome Prediction: A Survey of Clinician Perceptions and Preferences Jun Hou Lucy Lu Wang 45 0 0 27 Feb 2025
A Pilot Study on Clinician-AI Collaboration in Diagnosing Depression from Speech Kexin Feng Theodora Chaspari 23 0 0 23 Oct 2024
Revisiting the robustness of post-hoc interpretability methods Jiawen Wei Hugues Turbé G. Mengaldo AAML 39 4 0 29 Jul 2024
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting Pierre-Daniel Arsenault Shengrui Wang Jean-Marc Patenande XAI AI4TS 27 2 0 22 Jul 2024
Tokenize features, enhancing tables: the FT-TABPFN model for tabular classification Quangao Liu Wei Yang Chen Liang Longlong Pang Zhuozhang Zou 18 1 0 11 Jun 2024
A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation Yakun Chen Kaize Shi Zhangkai Wu Juan Chen Xianzhi Wang Julian McAuley Guandong Xu Shui Yu DiffM 39 3 0 18 Feb 2024
Improve Fidelity and Utility of Synthetic Credit Card Transaction Time Series from Data-centric Perspective Din-Yin Hsieh ChiHua Wang Guang Cheng AI4TS 18 5 0 01 Jan 2024
XAI for In-hospital Mortality Prediction via Multimodal ICU Data Xingqiao Li Jindong Gu Zhiyong Wang Yancheng Yuan Bo Du Fengxiang He 22 2 0 29 Dec 2023
Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework Elham Nasarian R. Alizadehsani U. Acharya Kwok-Leung Tsui 22 41 0 18 Nov 2023
DIVERSIFY: A General Framework for Time Series Out-of-distribution Detection and Generalization Wang Lu Jindong Wang Xinwei Sun Yiqiang Chen Xiangyang Ji Qiang Yang Xingxu Xie OODD AI4TS 20 15 0 04 Aug 2023
Interpretable Alzheimer's Disease Classification Via a Contrastive Diffusion Autoencoder Ayodeji Ijishakin A. Abdulaal Adamos Hadjivasiliou Sophie Martin James H. Cole DiffM MedIm 33 9 0 05 Jun 2023
Explainable AI for Malnutrition Risk Prediction from m-Health and Clinical Data Flavio Di Martino Franca Delmastro C. Dolciotti 11 9 0 31 May 2023
Categorical Foundations of Explainable AI: A Unifying Theory Pietro Barbiero S. Fioravanti Francesco Giannini Alberto Tonda Pietro Lio' Elena Di Lavore XAI 19 2 0 27 Apr 2023
Don't PANIC: Prototypical Additive Neural Network for Interpretable Classification of Alzheimer's Disease Tom Nuno Wolf Sebastian Polsterl Christian Wachinger FAtt 16 6 0 13 Mar 2023
Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants Isil Guzey Ozlem Ucar N. A. Çiftdemir B. Acunaş 23 1 0 17 Dec 2022
Why we do need Explainable AI for Healthcare Giovanni Cina Tabea E. Rober Rob Goedhart Ilker Birbil 30 14 0 30 Jun 2022
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan Ö. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 122 297 0 17 Oct 2019
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications Andrew G. Howard Menglong Zhu Bo Chen Dmitry Kalenichenko Weijun Wang Tobias Weyand M. Andreetto Hartwig Adam 3DH 950 20,561 0 17 Apr 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017