Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities

11 November 2021

Papers citing "Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities"

29 / 29 papers shown

Title
Surrogate Modeling for Explainable Predictive Time Series Corrections Alfredo Lopez Florian Sobieczky AI4TS 72 0 0 17 Jan 2025
A Comparative Analysis of DNN-based White-Box Explainable AI Methods in Network Security Osvaldo Arreche Mustafa Abdallah AAML 127 1 0 14 Jan 2025
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review Luis M. Lopez-Ramos Florian Leiser Aditya Rastogi Steven Hicks Inga Strümke V. Madai Tobias Budig Ali Sunyaev A. Hilbert 101 2 0 07 Nov 2024
The Interaction Layer: An Exploration for Co-Designing User-LLM Interactions in Parental Wellbeing Support Systems Sruthi Viswanathan Seray Ibrahim Ravi Shankar Reuben Binns Max Van Kleek Petr Slovák 90 1 0 02 Nov 2024
Explaining Black-box Model Predictions via Two-level Nested Feature Attributions with Consistency Property Yuya Yoshikawa Masanari Kimura Ryotaro Shimizu Yuki Saito FAtt 46 0 0 23 May 2024
Safety Implications of Explainable Artificial Intelligence in End-to-End Autonomous Driving Shahin Atakishiyev Mohammad Salameh Randy Goebel 124 6 0 18 Mar 2024
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning R. Heese Thore Gerlach Sascha Mucke Sabine Muller Matthias Jakobs Nico Piatkowski 33 18 0 22 Jan 2023
VAC-CNN: A Visual Analytics System for Comparative Studies of Deep Convolutional Neural Networks Xiwei Xuan Xiaoyu Zhang Oh-Hyun Kwon K. Ma HAI 29 17 0 25 Oct 2021
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis Bas H. M. van der Velden Hugo J. Kuijf K. Gilhuijs M. Viergever XAI 47 649 0 22 Jul 2021
SHAFF: Fast and consistent SHApley eFfect estimates via random Forests Clément Bénard Gérard Biau Sébastien Da Veiga Erwan Scornet FAtt 51 32 0 25 May 2021
Explainable Artificial Intelligence Approaches: A Survey Sheikh Rabiul Islam W. Eberle S. Ghafoor Mohiuddin Ahmed XAI 48 103 0 23 Jan 2021
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images Pablo Messina Pablo Pino Denis Parra Alvaro Soto Cecilia Besa S. Uribe Marcelo andía C. Tejos Claudia Prieto Daniel Capurro MedIm 56 63 0 20 Oct 2020
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges Christoph Molnar Giuseppe Casalicchio B. Bischl AI4TS AI4CE 61 400 0 19 Oct 2020
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable? Manas Gaur Keyur Faldu A. Sheth 64 113 0 16 Oct 2020
Survey of XAI in digital pathology Milda Pocevičiūtė Gabriel Eilertsen Claes Lundström 44 56 0 14 Aug 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 42 268 0 29 May 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation Raha Moraffah Mansooreh Karami Ruocheng Guo A. Raglin Huan Liu CML ELM XAI 45 216 0 09 Mar 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 87 27 0 18 Feb 2020
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 73 1,427 0 17 Jul 2019
Visual Analytics for Explainable Deep Learning Jaegul Choo Shixia Liu HAI XAI 43 236 0 07 Apr 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 72 3,922 0 06 Feb 2018
Explainable Planning M. Fox D. Long Daniele Magazzeni 34 287 0 29 Sep 2017
Explainable Artificial Intelligence: Understanding, Visualizing and Interpreting Deep Learning Models Wojciech Samek Thomas Wiegand K. Müller XAI VLM 45 1,186 0 28 Aug 2017
Explanation in Artificial Intelligence: Insights from the Social Sciences Tim Miller XAI 210 4,229 0 22 Jun 2017
"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach L. Arras F. Horn G. Montavon K. Müller Wojciech Samek 34 288 0 23 Dec 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 256 4,620 0 18 Oct 2016
The Mythos of Model Interpretability Zachary Chase Lipton FaML 93 3,672 0 10 Jun 2016
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 140 14,831 1 21 Dec 2013
Visualizing and Understanding Convolutional Networks Matthew D. Zeiler Rob Fergus FAtt SSL 211 15,825 0 12 Nov 2013