A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI

17 July 2019

Papers citing "A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI"

50 / 135 papers shown

Title
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 29 39 0 07 Dec 2022
Towards Explainability in Modular Autonomous Vehicle Software Hongrui Zheng Zirui Zang Shuo Yang Rahul Mangharam 29 0 0 01 Dec 2022
Towards Human-Interpretable Prototypes for Visual Assessment of Image Classification Models Poulami Sinhamahapatra Lena Heidemann Maureen Monnet Karsten Roscher 42 5 0 22 Nov 2022
Data-Adaptive Discriminative Feature Localization with Statistically Guaranteed Interpretation Ben Dai Xiaotong Shen Lingzhi Chen Chunlin Li Wei Pan FAtt 21 1 0 18 Nov 2022
Explainable Artificial Intelligence: Precepts, Methods, and Opportunities for Research in Construction Peter E. D. Love Weili Fang J. Matthews Stuart Porter Hanbin Luo L. Ding XAI 29 7 0 12 Nov 2022
On the Robustness of Explanations of Deep Neural Network Models: A Survey Amlan Jyoti Karthik Balaji Ganesh Manoj Gayala Nandita Lakshmi Tunuguntla Sandesh Kamath V. Balasubramanian XAI FAtt AAML 32 4 0 09 Nov 2022
Framework Construction of an Adversarial Federated Transfer Learning Classifier Han Yi Tongxuan Bie Tongjiang Yan FedML MedIm 22 0 0 09 Nov 2022
Adversarially Robust Medical Classification via Attentive Convolutional Neural Networks I. Wasserman OOD MedIm AAML 29 0 0 26 Oct 2022
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 47 39 0 24 Oct 2022
Abstract Interpretation-Based Feature Importance for SVMs Abhinanda Pal Francesco Ranzato Caterina Urban Marco Zanella FAtt 26 0 0 22 Oct 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 29 82 0 13 Oct 2022
Neuro-symbolic Explainable Artificial Intelligence Twin for Zero-touch IoE in Wireless Network M. S. Munir Ki Tae Kim Apurba Adhikary Walid Saad Sachin Shetty Seong-Bae Park Choong Seon Hong 30 20 0 13 Oct 2022
Local Interpretable Model Agnostic Shap Explanations for machine learning models P. Aditya M. Pal FAtt 34 6 0 10 Oct 2022
Scope of Pre-trained Language Models for Detecting Conflicting Health Information Josepho D. Gatto Madhusudan Basak S. Preum 32 7 0 22 Sep 2022
XClusters: Explainability-first Clustering Hyunseung Hwang Steven Euijong Whang 30 5 0 22 Sep 2022
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees Zichuan Liu Zichuan Liu Zhi Wang Yuanyang Zhu Chunlin Chen 60 5 0 15 Sep 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 28 90 0 14 Sep 2022
TruVR: Trustworthy Cybersickness Detection using Explainable Machine Learning Ripan Kumar Kundu Rifatul Islam Prasad Calyam K. A. Hoque 15 8 0 12 Sep 2022
An Artificial Intelligence Outlook for Colorectal Cancer Screening P. Katrakazas Aristotelis Ballas M. Anisetti I. Spais 21 0 0 05 Sep 2022
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations Jialin Yu Alexandra I. Cristea Anoushka Harit Zhongtian Sun O. Aduragba Lei Shi Noura Al Moubayed 29 10 0 02 Sep 2022
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition Tomoya Nitta Tsubasa Hirakawa H. Fujiyoshi Toru Tamaki 58 0 0 27 Jul 2022
Adaptive occlusion sensitivity analysis for visually explaining video recognition networks Tomoki Uchiyama Naoya Sogi S. Iizuka Koichiro Niinuma Kazuhiro Fukui 24 2 0 26 Jul 2022
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics Yiqiao Li Jianlong Zhou Sunny Verma Fang Chen XAI 34 39 0 26 Jul 2022
"Even if ..." -- Diverse Semifactual Explanations of Reject André Artelt Barbara Hammer 33 12 0 05 Jul 2022
Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability Jonathan Crabbé Alicia Curth Ioana Bica M. Schaar CML 22 16 0 16 Jun 2022
DORA: Exploring Outlier Representations in Deep Neural Networks Kirill Bykov Mayukh Deb Dennis Grinwald Klaus-Robert Muller Marina M.-C. Höhne 27 12 0 09 Jun 2022
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey İbrahim Kök Feyza Yıldırım Okay Özgecan Muyanlı S. Özdemir XAI 17 51 0 07 Jun 2022
Interpretable Models Capable of Handling Systematic Missingness in Imbalanced Classes and Heterogeneous Datasets Sreejita Ghosh E. Baranowski Michael Biehl W. Arlt Peter Tiño the United Kingdom Utrecht University 23 6 0 04 Jun 2022
TRUST XAI: Model-Agnostic Explanations for AI With a Case Study on IIoT Security Maede Zolanvari Zebo Yang K. Khan Rajkumar Jain N. Meskin 25 73 0 02 May 2022
Adapting and Evaluating Influence-Estimation Methods for Gradient-Boosted Decision Trees Jonathan Brophy Zayd Hammoudeh Daniel Lowd TDI 27 22 0 30 Apr 2022
An Explainable Regression Framework for Predicting Remaining Useful Life of Machines Talhat Khan Kashif Ahmad Jebran Khan Imran Khan Nasir Ahmad 43 13 0 28 Apr 2022
From Modern CNNs to Vision Transformers: Assessing the Performance, Robustness, and Classification Strategies of Deep Learning Models in Histopathology Maximilian Springenberg A. Frommholz M. Wenzel Eva Weicken Jackie Ma Nils Strodthoff MedIm 30 42 0 11 Apr 2022
Automatic Image Content Extraction: Operationalizing Machine Learning in Humanistic Photographic Studies of Large Visual Archives Anssi Männistö Mert Seker Alexandros Iosifidis Jenni Raitoharju VLM 24 5 0 05 Apr 2022
On scientific understanding with artificial intelligence Mario Krenn R. Pollice S. Guo Matteo Aldeghi Alba Cervera-Lierta ... Florian Hase A. Jinich AkshatKumar Nigam Zhenpeng Yao Alán Aspuru-Guzik 33 186 0 04 Apr 2022
Concept Embedding Analysis: A Review Gesina Schwalbe 32 28 0 25 Mar 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 31 27 0 22 Mar 2022
Label-Free Explainability for Unsupervised Models Jonathan Crabbé M. Schaar FAtt MILM 24 22 0 03 Mar 2022
Statistics and Deep Learning-based Hybrid Model for Interpretable Anomaly Detection Thabang Mathonsi Terence L van Zyl 35 0 0 25 Feb 2022
Deep Learning for Computational Cytology: A Survey Hao Jiang Yanning Zhou Yi-Mou Lin R. Chan Jiangshu Liu Hao Chen 19 75 0 10 Feb 2022
Investigating the fidelity of explainable artificial intelligence methods for applications of convolutional neural networks in geoscience Antonios Mamalakis E. Barnes I. Ebert‐Uphoff 26 73 0 07 Feb 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
McXai: Local model-agnostic explanation as two games Yiran Huang Nicole Schaal Michael Hefenbrock Yexu Zhou T. Riedel Likun Fang Michael Beigl FAtt 20 4 0 04 Jan 2022
Improving Deep Neural Network Classification Confidence using Heatmap-based eXplainable AI Erico Tjoa Hong Jing Khok Tushar Chouhan G. Cuntai FAtt 25 4 0 30 Dec 2021
GPEX, A Framework For Interpreting Artificial Neural Networks Amir Akbarnejad G. Bigras Nilanjan Ray 44 4 0 18 Dec 2021
A Survey on AI Assurance Feras A. Batarseh Laura J. Freeman 29 65 0 15 Nov 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 36 414 0 11 Nov 2021
Explainable Deep Reinforcement Learning for Portfolio Management: An Empirical Approach Mao Guan Xiao-Yang Liu AIFin AI4TS 19 20 0 07 Nov 2021
Explaining Latent Representations with a Corpus of Examples Jonathan Crabbé Zhaozhi Qian F. Imrie M. Schaar FAtt 16 37 0 28 Oct 2021
Interpreting Deep Learning Models in Natural Language Processing: A Review Xiaofei Sun Diyi Yang Xiaoya Li Tianwei Zhang Yuxian Meng Han Qiu Guoyin Wang Eduard H. Hovy Jiwei Li 17 44 0 20 Oct 2021
Deep Neural Networks and Tabular Data: A Survey V. Borisov Tobias Leemann Kathrin Seßler Johannes Haug Martin Pawelczyk Gjergji Kasneci LMTD 36 647 0 05 Oct 2021