Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

16 June 2020

Papers citing "Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey"

50 / 225 papers shown

Title
medXGAN: Visual Explanations for Medical Classifiers through a Generative Latent Space Amil Dravid Florian Schiffers Boqing Gong Aggelos K. Katsaggelos GAN MedIm 32 9 0 11 Apr 2022
Using Decision Tree as Local Interpretable Model in Autoencoder-based LIME Niloofar Ranjbar Reza Safabakhsh FAtt 18 5 0 07 Apr 2022
Conditional Autoregressors are Interpretable Classifiers N. Elazar BDL 15 0 0 31 Mar 2022
A Meta Survey of Quality Evaluation Criteria in Explanation Methods Helena Lofstrom K. Hammar Ulf Johansson XAI 32 11 0 25 Mar 2022
Explainability in reinforcement learning: perspective and position Agneza Krajna Mario Brčič T. Lipić Juraj Dončević 34 27 0 22 Mar 2022
Human-Centric Artificial Intelligence Architecture for Industry 5.0 Applications Jovze M. Rovzanec I. Novalija Patrik Zajec K. Kenda Hooman Tavakoli ... G. Sofianidis Spyros Theodoropoulos Blavz Fortuna Dunja Mladenić John Soldatos 3DV AI4CE 38 121 0 21 Mar 2022
A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions Chamara Sandeepa Bartlomiej Siniarski N. Kourtellis Shen Wang Madhusanka Liyanage 29 21 0 08 Mar 2022
Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box Catarina Moreira Yu-Liang Chou Chih-Jou Hsieh Chun Ouyang Joaquim A. Jorge João Pereira CML 34 9 0 04 Mar 2022
Label-Free Explainability for Unsupervised Models Jonathan Crabbé M. Schaar FAtt MILM 24 22 0 03 Mar 2022
Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection Y. Kim Huili Chen F. Koushanfar FedML AAML 6 8 0 21 Feb 2022
TimeREISE: Time-series Randomized Evolving Input Sample Explanation Dominique Mercier Andreas Dengel Sheraz Ahmed AI4TS 11 7 0 16 Feb 2022
Time to Focus: A Comprehensive Benchmark Using Time Series Attribution Methods Dominique Mercier Jwalin Bhatt Andreas Dengel Sheraz Ahmed AI4TS 22 11 0 08 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 29 73 0 07 Feb 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 28 396 0 20 Jan 2022
Explainable Artificial Intelligence for Pharmacovigilance: What Features Are Important When Predicting Adverse Outcomes? I. Ward Ling Wang Juan Lu M. Bennamoun Girish Dwivedi Frank M. Sanfilippo 19 34 0 25 Dec 2021
Scope and Sense of Explainability for AI-Systems Anastasia-Maria Leventi-Peetz T. Östreich Werner Lennartz Kai Weber 14 5 0 20 Dec 2021
Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges Shen Wang M. Qureshi Luis Miralles-Pechuán Thien Huynh-The Thippa Reddy Gadekallu Madhusanka Liyanage 24 22 0 09 Dec 2021
SyntEO: Synthetic Data Set Generation for Earth Observation and Deep Learning -- Demonstrated for Offshore Wind Farm Detection Thorsten Hoeser C. Kuenzer 37 19 0 06 Dec 2021
Understanding the Dynamics of DNNs Using Graph Modularity Yao Lu Wen Yang Yunzhe Zhang Zuohui Chen Jinyin Chen Qi Xuan Zhen Wang Xiaoniu Yang 42 9 0 24 Nov 2021
STEEX: Steering Counterfactual Explanations with Semantics P. Jacob Éloi Zablocki H. Ben-younes Mickaël Chen P. Pérez Matthieu Cord 19 43 0 17 Nov 2021
A Survey on AI Assurance Feras A. Batarseh Laura J. Freeman 29 65 0 15 Nov 2021
Revisiting Methods for Finding Influential Examples Karthikeyan K Anders Søgaard TDI 16 30 0 08 Nov 2021
On the Effectiveness of Interpretable Feedforward Neural Network Miles Q. Li Benjamin C. M. Fung Adel Abusitta FaML AI4CE 28 3 0 03 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
Local Explanations for Clinical Search Engine results Edeline Contempré Zoltán Szlávik Majid Mohammadi Erick Velazquez Godinez A. T. Teije Ilaria Tiddi FAtt 16 1 0 19 Oct 2021
Knowledge-driven Active Learning Gabriele Ciravegna F. Precioso Alessandro Betti Kevin Mottin Marco Gori 19 2 0 15 Oct 2021
A Framework for Learning to Request Rich and Contextually Useful Information from Humans Khanh Nguyen Yonatan Bisk Hal Daumé 47 16 0 14 Oct 2021
Cartoon Explanations of Image Classifiers Stefan Kolek Duc Anh Nguyen Ron Levie Joan Bruna Gitta Kutyniok FAtt 38 14 0 07 Oct 2021
Image recognition via Vietoris-Rips complex Yasuhiko Asao Jumpei Nagase Ryotaro Sakamoto S. Takagi CoGe 27 0 0 06 Sep 2021
Explaining Bayesian Neural Networks Kirill Bykov Marina M.-C. Höhne Adelaida Creosteanu Klaus-Robert Muller Frederick Klauschen Shinichi Nakajima Marius Kloft BDL AAML 34 25 0 23 Aug 2021
Logic Explained Networks Gabriele Ciravegna Pietro Barbiero Francesco Giannini Marco Gori Pietro Lió Marco Maggini S. Melacci 37 69 0 11 Aug 2021
Explainable AI: current status and future directions Prashant Gohel Priyanka Singh M. Mohanty XAI 98 87 0 12 Jul 2021
A Framework and Benchmarking Study for Counterfactual Generating Methods on Tabular Data Raphael Mazzine David Martens 40 33 0 09 Jul 2021
General Board Game Concepts Éric Piette Matthew Stephenson Dennis J. N. J. Soemers C. Browne 35 13 0 02 Jul 2021
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning Yang Liu Sujay Khandagale Colin White W. Neiswanger 37 65 0 23 Jun 2021
An Imprecise SHAP as a Tool for Explaining the Class Probability Distributions under Limited Training Data Lev V. Utkin A. Konstantinov Kirill Vishniakov FAtt 29 5 0 16 Jun 2021
Entropy-based Logic Explanations of Neural Networks Pietro Barbiero Gabriele Ciravegna Francesco Giannini Pietro Lió Marco Gori S. Melacci FAtt XAI 25 78 0 12 Jun 2021
Explaining Time Series Predictions with Dynamic Masks Jonathan Crabbé M. Schaar FAtt AI4TS 23 80 0 09 Jun 2021
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores Giang Nguyen Daeyoung Kim Anh Totti Nguyen FAtt 21 86 0 31 May 2021
PyTorch, Explain! A Python library for Logic Explained Networks Pietro Barbiero Gabriele Ciravegna Dobrik Georgiev Francesco Giannini FAtt XAI 23 9 0 25 May 2021
Explainable Activity Recognition for Smart Home Systems Devleena Das Yasutaka Nishimura R. Vivek Naoto Takeda Sean T. Fish Thomas Ploetz Sonia Chernova 22 40 0 20 May 2021
Evaluating the Correctness of Explainable AI Algorithms for Classification Orcun Yalcin Xiuyi Fan Siyuan Liu XAI FAtt 16 15 0 20 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 29 183 0 15 May 2021
Show Why the Answer is Correct! Towards Explainable AI using Compositional Temporal Attention Nihar Bendre K. Desai Peyman Najafirad CoGe 20 6 0 15 May 2021
Zero-bias Deep Learning Enabled Quick and Reliable Abnormality Detection in IoT Yongxin Liu Jian Wang Jianqiang Li Shuteng Niu Haoze Song 15 2 0 08 Apr 2021
Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset Antonios Mamalakis I. Ebert‐Uphoff E. Barnes OOD 28 75 0 18 Mar 2021
Explanations in Autonomous Driving: A Survey Daniel Omeiza Helena Webb Marina Jirotka Lars Kunze 11 214 0 09 Mar 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 47 176 0 07 Mar 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 16 20 0 04 Mar 2021
AI-Augmented Behavior Analysis for Children with Developmental Disabilities: Building Towards Precision Treatment Shadi Ghafghazi Amarie Carnett Leslie C. Neely Arun Das P. Rad 8 15 0 21 Feb 2021