Title
Visualization and Analysis of Wearable Health Data From COVID-19 Patients S. Suter Georg R. Spinner Bianca Hoelz Sofia Rey S. Thanabalasingam J. Eckstein S. Hirsch 18 0 0 19 Jan 2022
System-Agnostic Meta-Learning for MDP-based Dynamic Scheduling via Descriptive Policy Hyunsung Lee 62 1 0 18 Jan 2022
Explainable Ensemble Machine Learning for Breast Cancer Diagnosis based on Ultrasound Image Texture Features Alireza Rezazadeh Yasamin Jafarian A. Kord MedIm 28 21 0 17 Jan 2022
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions Yang Nan Javier Del Ser Simon Walsh Carola Schönlieb M. Roberts ... Philippe Lambin Leonor Cerdá Alberich L. Martí-Bonmatí Francisco Herrera Guang Yang 95 109 0 17 Jan 2022
Profitable Strategy Design by Using Deep Reinforcement Learning for Trades on Cryptocurrency Markets Mohsen Asgari S. H. Khasteh 68 5 0 15 Jan 2022
A Graph-based Methodology for the Sensorless Estimation of Road Traffic Profiles Eric L. Manibardo I. Laña Esther Villar-Rodriguez Javier Del Ser 136 3 0 11 Jan 2022
A Light in the Dark: Deep Learning Practices for Industrial Computer Vision Maximilian Harl Marvin Herchenbach Sven Kruschel Nico Hambauer Patrick Zschech Mathias Kraus 52 2 0 06 Jan 2022
ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions Adriano Lucieri Muhammad Naseer Bajwa S. Braun M. I. Malik Andreas Dengel Sheraz Ahmed 60 65 0 04 Jan 2022
A Critical Review of Inductive Logic Programming Techniques for Explainable AI Zheng Zhang Liangliang Xu L. Yilmaz Bo Liu 61 10 0 31 Dec 2021
Self Reward Design with Fine-grained Interpretability Erico Tjoa G. Cuntai 48 1 0 30 Dec 2021
Two Instances of Interpretable Neural Network for Universal Approximations Erico Tjoa G. Cuntai 20 1 0 30 Dec 2021
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence Kacper Sokol Peter A. Flach 80 21 0 29 Dec 2021
Towards Relatable Explainable AI with the Perceptual Process Wencan Zhang Brian Y. Lim AAML XAI 93 66 0 28 Dec 2021
A Survey on Interpretable Reinforcement Learning Claire Glanois Paul Weng Matthieu Zimmer Dong Li Tianpei Yang Jianye Hao Wulong Liu OffRL 111 105 0 24 Dec 2021
Forward Composition Propagation for Explainable Neural Reasoning Isel Grau Gonzalo Nápoles M. Bello Yamisleydi Salgueiro A. Jastrzębska 53 1 0 23 Dec 2021
Prolog-based agnostic explanation module for structured pattern classification Gonzalo Nápoles Fabian Hoitsma A. Knoben A. Jastrzębska Maikel Leon Espinosa 79 13 0 23 Dec 2021
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions Shahin Atakishiyev Mohammad Salameh Hengshuai Yao Randy Goebel 110 138 0 21 Dec 2021
Toward Explainable AI for Regression Models S. Letzgus Patrick Wagner Jonas Lederer Wojciech Samek Klaus-Robert Muller G. Montavon XAI 97 66 0 21 Dec 2021
AI Ethics Principles in Practice: Perspectives of Designers and Developers Conrad Sanderson David M. Douglas Qinghua Lu Emma Schleiger Jon Whittle J. Lacey G. Newnham S. Hajkowicz Cathy J. Robinson David Hansen FaML 137 48 0 14 Dec 2021
Levels of Autonomous Radiology S. Ghuwalewala V. Kulkarni R. Pant A. Kharat MedIm 89 11 0 14 Dec 2021
Utilizing XAI technique to improve autoencoder based model for computer network anomaly detection with shapley additive explanation(SHAP) Khushnaseeb Roshan Aasim Zafar AAML 65 54 0 14 Dec 2021
Multi-Attention Multiple Instance Learning A. Konstantinov Lev V. Utkin 75 13 0 11 Dec 2021
Evaluating saliency methods on artificial data with different background types Céline Budding Fabian Eitel K. Ritter Stefan Haufe XAI FAtt MedIm 75 5 0 09 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 71 24 0 09 Dec 2021
Training Deep Models to be Explained with Fewer Examples Tomoharu Iwata Yuya Yoshikawa FAtt 112 1 0 07 Dec 2021
What I Cannot Predict, I Do Not Understand: A Human-Centered Evaluation Framework for Explainability Methods Julien Colin Thomas Fel Rémi Cadène Thomas Serre 89 104 0 06 Dec 2021
HIVE: Evaluating the Human Interpretability of Visual Explanations Sunnie S. Y. Kim Nicole Meister V. V. Ramaswamy Ruth C. Fong Olga Russakovsky 161 119 0 06 Dec 2021
SyntEO: Synthetic Data Set Generation for Earth Observation and Deep Learning -- Demonstrated for Offshore Wind Farm Detection Thorsten Hoeser C. Kuenzer 80 21 0 06 Dec 2021
Toward a Taxonomy of Trust for Probabilistic Machine Learning Tamara Broderick Andrew Gelman Rachael Meager Anna L. Smith Tian Zheng 79 11 0 05 Dec 2021
Combining Sub-Symbolic and Symbolic Methods for Explainability Anna Himmelhuber S. Grimm Sonja Zillner Mitchell Joblin Martin Ringsquandl Thomas Runkler 53 5 0 03 Dec 2021
Collaborative Artificial Intelligence Needs Stronger Assurances Driven by Risks Jubril Gbolahan Adigun Matteo Camilli Michael Felderer Andrea Giusti D. Matt A. Perini B. Russo A. Susi 54 5 0 01 Dec 2021
Multi-task fusion for improving mammography screening data classification M. Wimmer Gert Sluiter David Major Dimitrios Lenis Astrid Berg Theresa Neubauer Katja Bühler 52 10 0 01 Dec 2021
Towards Explainable End-to-End Prostate Cancer Relapse Prediction from H&E Images Combining Self-Attention Multiple Instance Learning with a Recurrent Neural Network Esther Dietrich Patrick Fuhlert Anne Ernst G. Sauter M. Lennartz H. Stiehl Marina Zimmermann Stefan Bonn 96 4 0 26 Nov 2021
Meaningful human control: actionable properties for AI system development Luciano Cavalcante Siebert M. Lupetti Evgeni Aizenberg N. Beckers Arkady Zgonnikov ... G. Houben Catholijn M. Jonker J. van den Hoven Deborah Forster R. Lagendijk 73 60 0 25 Nov 2021
Demystifying Graph Neural Network Explanations Anna Himmelhuber Mitchell Joblin Martin Ringsquandl Thomas Runkler 31 5 0 25 Nov 2021
IMFNet: Interpretable Multimodal Fusion for Point Cloud Registration Xiaoshui Huang Wentao Qu Yifan Zuo Yuming Fang Xiaowei Zhao 3DPC 42 39 0 18 Nov 2021
Acquisition of Chess Knowledge in AlphaZero Thomas McGrath A. Kapishnikov Nenad Tomašev Adam Pearce Demis Hassabis Been Kim Ulrich Paquet Vladimir Kramnik 77 168 0 17 Nov 2021
How Mock Model Training Enhances User Perceptions of AI Systems Amama Mahmood G. Ajaykumar Chien-Ming Huang 11 1 0 16 Nov 2021
A Unified and Fast Interpretable Model for Predictive Analytics Yunan Zhu Rui Ding Tianchi Qiao Zhitao Zou Shi Han Dongmei Zhang 42 3 0 16 Nov 2021
Fast Axiomatic Attribution for Neural Networks Robin Hesse Simone Schaub-Meyer Stefan Roth 53 40 0 15 Nov 2021
Patent Data for Engineering Design: A Critical Review and Future Directions Shuo Jiang Serhad Sarica Binyang Song Jie Hu Jianxi Luo PINN AI4CE 48 14 0 15 Nov 2021
A Survey on AI Assurance Feras A. Batarseh Laura J. Freeman 93 69 0 15 Nov 2021
Scrutinizing XAI using linear ground-truth data with suppressor variables Rick Wilming Céline Budding K. Müller Stefan Haufe FAtt 63 26 0 14 Nov 2021
A Practical guide on Explainable AI Techniques applied on Biomedical use case applications Adrien Bennetot Ivan Donadello Ayoub El Qadi M. Dragoni Thomas Frossard ... M. Trocan Raja Chatila Andreas Holzinger Artur Garcez Natalia Díaz Rodríguez XAI 59 9 0 13 Nov 2021
Learning Interpretation with Explainable Knowledge Distillation Raed Alharbi Minh Nhat Vu My T. Thai 70 15 0 12 Nov 2021
Glass-box model representation of seismic failure mode prediction for conventional RC shear walls Z. Deger Gülsen Taskin Kaya 35 16 0 12 Nov 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 110 446 0 11 Nov 2021
Characterizing Human Explanation Strategies to Inform the Design of Explainable AI for Building Damage Assessment Donghoon Shin Sachin Grover Kenneth Holstein Adam Perer 60 3 0 04 Nov 2021
Exploring Explainable AI in the Financial Sector: Perspectives of Banks and Supervisory Authorities O. Kuiper M. V. D. Berg Joost van den Burgt S. Leijnen 59 19 0 03 Nov 2021
Transparency of Deep Neural Networks for Medical Image Analysis: A Review of Interpretability Methods Zohaib Salahuddin Henry C. Woodruff A. Chatterjee Philippe Lambin 90 321 0 01 Nov 2021