Title
Learn-Explain-Reinforce: Counterfactual Reasoning and Its Guidance to Reinforce an Alzheimer's Disease Diagnosis Model Kwanseok Oh Jeeseok Yoon Heung-Il Suk FAtt 81 28 0 21 Aug 2021
Improvement of a Prediction Model for Heart Failure Survival through Explainable Artificial Intelligence Pedro A. Moreno-Sánchez 43 35 0 20 Aug 2021
Cases for Explainable Software Systems:Characteristics and Examples Mersedeh Sadeghi V. Klös Andreas Vogelsang 40 16 0 12 Aug 2021
Alzheimer's Disease Diagnosis via Deep Factorization Machine Models Raphael Ronge K. Nho Christian Wachinger Sebastian Polsterl 23 4 0 12 Aug 2021
Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice Jiahao Chen Victor Storchan Eren Kurshan 50 11 0 11 Aug 2021
Attention-like feature explanation for tabular data A. Konstantinov Lev V. Utkin FAtt 114 5 0 10 Aug 2021
Demonstrating REACT: a Real-time Educational AI-powered Classroom Tool Ajay Kulkarni Olga Gkountouna 48 1 0 30 Jul 2021
MAIR: Framework for mining relationships between research articles, strategies, and regulations in the field of explainable artificial intelligence Stanisław Giziński Michal Kuzba Bartosz Pieliñski Julian Sienkiewicz Stanislaw Laniewski P. Biecek 42 1 0 29 Jul 2021
Incorporation of Deep Neural Network & Reinforcement Learning with Domain Knowledge Aryan Karn Ashutosh Acharya 39 0 0 29 Jul 2021
Discovering User-Interpretable Capabilities of Black-Box Planning Agents Pulkit Verma Shashank Rao Marpally Siddharth Srivastava ELM LLMAG 78 20 0 28 Jul 2021
The Who in XAI: How AI Background Shapes Perceptions of AI Explanations Upol Ehsan Samir Passi Q. V. Liao Larry Chan I-Hsiang Lee Michael J. Muller Mark O. Riedl 97 96 0 28 Jul 2021
Surrogate Model-Based Explainability Methods for Point Cloud NNs Hanxiao Tan Helena Kotthaus 3DPC 63 29 0 28 Jul 2021
How to Certify Machine Learning Based Safety-critical Systems? A Systematic Literature Review Florian Tambon Gabriel Laberge Le An Amin Nikanjam Paulina Stevia Nouwou Mindom Y. Pequignot Foutse Khomh G. Antoniol E. Merlo François Laviolette 128 70 0 26 Jul 2021
Robust Explainability: A Tutorial on Gradient-Based Attribution Methods for Deep Neural Networks Ian E. Nielsen Dimah Dera Ghulam Rasool N. Bouaynaya R. Ramachandran FAtt 82 82 0 23 Jul 2021
Philosophical Specification of Empathetic Ethical Artificial Intelligence Michael Timothy Bennett Y. Maruyama 50 9 0 22 Jul 2021
A Review of Some Techniques for Inclusion of Domain-Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan 118 133 0 21 Jul 2021
Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions Eike Petersen Yannik Potdevin Esfandiar Mohammadi Stephan Zidowitz Sabrina Breyer ... Sandra Henn Ludwig Pechmann M. Leucker P. Rostalski Christian Herzog FaML AILaw OOD 105 23 0 20 Jul 2021
Inverse Problem of Nonlinear Schrödinger Equation as Learning of Convolutional Neural Network Yiran Wang Zhen Li 28 2 0 19 Jul 2021
Desiderata for Explainable AI in statistical production systems of the European Central Bank Carlos Navarro Georgios Kanellos Thomas Gottron 54 10 0 18 Jul 2021
M2Lens: Visualizing and Explaining Multimodal Models for Sentiment Analysis Xingbo Wang Jianben He Zhihua Jin Muqiao Yang Yong Wang Huamin Qu 102 80 0 17 Jul 2021
Artificial Intelligence in PET: an Industry Perspective Arkadiusz Sitek Sangtae Ahn E. Asma A. Chandler Alvin Ihsani S. Prevrhal Arman Rahmim Babak Saboury K. Thielemans 32 5 0 14 Jul 2021
Vehicle Fuel Optimization Under Real-World Driving Conditions: An Explainable Artificial Intelligence Approach A. Barbado Óscar Corcho 16 7 0 13 Jul 2021
A Classification of Artificial Intelligence Systems for Mathematics Education S. Van Vaerenbergh Adrián Pérez-Suay 27 13 0 13 Jul 2021
Scalable, Axiomatic Explanations of Deep Alzheimer's Diagnosis from Heterogeneous Data Sebastian Polsterl Christina Aigner Christian Wachinger FAtt 43 4 0 13 Jul 2021
Leveraging Explainability for Comprehending Referring Expressions in the Real World Fethiye Irmak Dogan G. I. Melsión Iolanda Leite 56 8 0 12 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 192 213 0 12 Jul 2021
Explainable AI: current status and future directions Prashant Gohel Priyanka Singh M. Mohanty XAI 154 89 0 12 Jul 2021
From Common Sense Reasoning to Neural Network Models through Multiple Preferences: an overview Laura Giordano Valentina Gliozzi Daniele Theseider Dupré SSeg AI4CE 57 1 0 10 Jul 2021
How to choose an Explainability Method? Towards a Methodical Implementation of XAI in Practice T. Vermeire Thibault Laugel X. Renard David Martens Marcin Detyniecki 37 16 0 09 Jul 2021
Recurrence-Aware Long-Term Cognitive Network for Explainable Pattern Classification Gonzalo Nápoles Yamisleydi Salgueiro Isel Grau Maikel Leon Espinosa 23 22 0 07 Jul 2021
Deep Learning for Micro-expression Recognition: A Survey Yante Li Jinsheng Wei Yang Liu Janne Kauttonen Guoying Zhao 133 67 0 06 Jul 2021
Does Dataset Complexity Matters for Model Explainers? J. Ribeiro R. Silva Lucas F. F. Cardoso Ronnie Cley de Oliveira Alves XAI ELM 43 14 0 06 Jul 2021
Energy and Thermal-aware Resource Management of Cloud Data Centres: A Taxonomy and Future Directions Shashikant Ilager Rajkumar Buyya 26 5 0 06 Jul 2021
A Review of Explainable Artificial Intelligence in Manufacturing G. Sofianidis Jože M. Rožanec Dunja Mladenić D. Kyriazis 84 17 0 05 Jul 2021
Improving a neural network model by explanation-guided training for glioma classification based on MRI data Frantisek Sefcik Wanda Benesova 39 12 0 05 Jul 2021
Here's What I've Learned: Asking Questions that Reveal Reward Learning Soheil Habibian Ananth Jonnavittula Dylan P. Losey 70 21 0 02 Jul 2021
Pairing Conceptual Modeling with Machine Learning W. Maass V. Storey HAI 55 36 0 27 Jun 2021
Software for Dataset-wide XAI: From Local Explanations to Global Insights with Zennit, CoRelAy, and ViRelAy Christopher J. Anders David Neumann Wojciech Samek K. Müller Sebastian Lapuschkin 107 66 0 24 Jun 2021
Provably efficient machine learning for quantum many-body problems Hsin-Yuan Huang R. Kueng Giacomo Torlai Victor V. Albert J. Preskill AI4CE 157 237 0 23 Jun 2021
Synthetic Benchmarks for Scientific Research in Explainable Machine Learning Yang Liu Sujay Khandagale Colin White Willie Neiswanger 115 67 0 23 Jun 2021
Interpretable Face Manipulation Detection via Feature Whitening Yingying Hua Daichi Zhang Pengju Wang Shiming Ge AAML FAtt CVBM 28 2 0 21 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 113 6 0 16 Jun 2021
mSHAP: SHAP Values for Two-Part Models Spencer Matthews Brian Hartman 34 12 0 16 Jun 2021
Generating Contrastive Explanations for Inductive Logic Programming Based on a Near Miss Approach Johannes Rabold M. Siebers Ute Schmid 56 14 0 15 Jun 2021
Counterfactual Explanations as Interventions in Latent Space Riccardo Crupi Alessandro Castelnovo D. Regoli Beatriz San Miguel González CML 44 24 0 14 Jun 2021
Characterizing the risk of fairwashing Ulrich Aïvodji Hiromi Arai Sébastien Gambs Satoshi Hara 92 28 0 14 Jun 2021
Exploring deterministic frequency deviations with explainable AI Johannes Kruse B. Schäfer D. Witthaut 38 15 0 14 Jun 2021
Entropy-based Logic Explanations of Neural Networks Pietro Barbiero Gabriele Ciravegna Francesco Giannini Pietro Lio Marco Gori S. Melacci FAtt XAI 93 80 0 12 Jun 2021
What Can Knowledge Bring to Machine Learning? -- A Survey of Low-shot Learning for Structured Data Yang Hu Adriane P. Chapman Guihua Wen Dame Wendy Hall 100 25 0 11 Jun 2021
Explainable AI, but explainable to whom? Julie Gerlings Millie Søndergaard Jensen Arisa Shollo 80 43 0 10 Jun 2021