Title
SCARI: Separate and Conquer Algorithm for Action Rules and Recommendations Induction Marek Sikora Pawel Matyszok Lukasz Wróbel 20 12 0 09 Jun 2021
Explaining Time Series Predictions with Dynamic Masks Jonathan Crabbé M. Schaar FAtt AI4TS 104 81 0 09 Jun 2021
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems Andrea Apicella Salvatore Giugliano Francesco Isgrò R. Prevete 80 18 0 09 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 91 32 0 09 Jun 2021
Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching Tomas Folke Scott Cheng-Hsin Yang S. Anderson Patrick Shafto 51 19 0 08 Jun 2021
Can a single neuron learn predictive uncertainty? Edgardo Solano-Carrillo UQCV 74 1 0 07 Jun 2021
Data-Driven Design-by-Analogy: State of the Art and Future Directions Shuo Jiang Jie Hu Kristin L. Wood Jianxi Luo 78 54 0 03 Jun 2021
Is Sparse Attention more Interpretable? Clara Meister Stefan Lazov Isabelle Augenstein Ryan Cotterell MILM 64 45 0 02 Jun 2021
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods E. Amparore Alan Perotti P. Bajardi FAtt 81 68 0 01 Jun 2021
Explainability via Interactivity? Supporting Nonexperts' Sensemaking of Pretrained CNN by Interacting with Their Daily Surroundings Chao Wang Pengcheng An HAI 60 7 0 31 May 2021
Know Your Model (KYM): Increasing Trust in AI and Machine Learning Mary Roszel Robert Norvill Jean Hilger R. State 46 4 0 31 May 2021
Do not explain without context: addressing the blind spot of model explanations Katarzyna Wo'znica Katarzyna Pkekala Hubert Baniecki Wojciech Kretowicz El.zbieta Sienkiewicz P. Biecek 59 1 0 28 May 2021
Fooling Partial Dependence via Data Poisoning Hubert Baniecki Wojciech Kretowicz P. Biecek AAML 83 23 0 26 May 2021
Development and evaluation of an Explainable Prediction Model for Chronic Kidney Disease Patients based on Ensemble Trees Pedro A. Moreno-Sánchez 13 40 0 21 May 2021
Explainable Machine Learning with Prior Knowledge: An Overview Katharina Beckh Sebastian Müller Matthias Jakobs Vanessa Toborek Hanxiao Tan Raphael Fischer Pascal Welke Sebastian Houben Laura von Rueden XAI 82 28 0 21 May 2021
Evaluating the Correctness of Explainable AI Algorithms for Classification Orcun Yalcin Xiuyi Fan Siyuan Liu XAI FAtt 46 15 0 20 May 2021
A Review on Explainability in Multimodal Deep Neural Nets Gargi Joshi Rahee Walambe K. Kotecha 138 142 0 17 May 2021
How to Explain Neural Networks: an Approximation Perspective Hangcheng Dong Bingguo Liu Fengdong Chen Dong Ye Guodong Liu FAtt 46 1 0 17 May 2021
Designer-User Communication for XAI: An epistemological approach to discuss XAI design J. Ferreira Mateus de Souza Monteiro 27 4 0 17 May 2021
Abstraction, Validation, and Generalization for Explainable Artificial Intelligence Scott Cheng-Hsin Yang Tomas Folke Patrick Shafto 74 5 0 16 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 153 198 0 15 May 2021
Verification of Size Invariance in DNN Activations using Concept Embeddings Gesina Schwalbe 3DPC 42 8 0 14 May 2021
XAI Handbook: Towards a Unified Framework for Explainable AI Sebastián M. Palacio Adriano Lucieri Mohsin Munir Jörn Hees Sheraz Ahmed Andreas Dengel 56 32 0 14 May 2021
Physical Artificial Intelligence: The Concept Expansion of Next-Generation Artificial Intelligence Yingbo Li Yucong Duan Anamaria-Beatrice Spulber Haoyang Che Z. Maamar Zhao Li Chen-Ying Yang Yuxiao Lei 18 6 0 13 May 2021
Bias, Fairness, and Accountability with AI and ML Algorithms Neng-Zhi Zhou Zach Zhang V. Nair Harsh Singhal Jie Chen Agus Sudjianto FaML 123 9 0 13 May 2021
ExpMRC: Explainability Evaluation for Machine Reading Comprehension Yiming Cui Ting Liu Wanxiang Che Zhigang Chen Shijin Wang ELM LRM 36 11 0 10 May 2021
Towards Explainable, Privacy-Preserved Human-Motion Affect Recognition Matthew Malek-Podjaski Fani Deligianni CVBM 57 7 0 09 May 2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks Maxime Kayser Oana-Maria Camburu Leonard Salewski Cornelius Emde Virginie Do Zeynep Akata Thomas Lukasiewicz VLM 112 101 0 08 May 2021
Scaling up Memory-Efficient Formal Verification Tools for Tree Ensembles John Törnblom Simin Nadjm-Tehrani 52 4 0 06 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 98 94 0 04 May 2021
Towards Accountability in the Use of Artificial Intelligence for Public Administrations M. Loi M. Spielkamp 120 50 0 04 May 2021
A Computational Framework for Modeling Complex Sensor Network Data Using Graph Signal Processing and Graph Neural Networks in Structural Health Monitoring Stefan Bloemheuvel Jurgen van den Hoogen Martin Atzmueller AI4CE 66 22 0 01 May 2021
Finding Good Proofs for Description Logic Entailments Using Recursive Quality Measures (Extended Technical Report) Christian Alrabbaa F. Baader Stefan Borgwardt Patrick Koopmann Alisa Kovtunova 34 23 0 27 Apr 2021
End-to-end grasping policies for human-in-the-loop robots via deep reinforcement learning M. Sharif Deniz Erdogmus Chris Amato T. Padır 36 2 0 26 Apr 2021
TrustyAI Explainability Toolkit Rob Geada Tommaso Teofili Rui Vieira Rebecca Whitworth Daniele Zonca 59 2 0 26 Apr 2021
Towards Rigorous Interpretations: a Formalisation of Feature Attribution Darius Afchar Romain Hennequin Vincent Guigue FAtt 100 20 0 26 Apr 2021
Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study Qinghao Ye Jun Xia Guang Yang 95 60 0 25 Apr 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case Natalia Díaz Rodríguez Alberto Lamas Jules Sanchez Gianni Franchi Ivan Donadello Siham Tabik David Filliat P. Cruz Rosana Montes Francisco Herrera 136 78 0 24 Apr 2021
Intensional Artificial Intelligence: From Symbol Emergence to Explainable and Empathetic AI Michael Timothy Bennett Y. Maruyama 62 3 0 23 Apr 2021
Rule Generation for Classification: Scalability, Interpretability, and Fairness Tabea E. Rober Adia C. Lumadjeng M. Akyuz cS. .Ilker Birbil 126 2 0 21 Apr 2021
Open Challenges on Generating Referring Expressions for Human-Robot Interaction Fethiye Irmak Dogan Iolanda Leite 91 4 0 19 Apr 2021
DA-DGCEx: Ensuring Validity of Deep Guided Counterfactual Explanations With Distribution-Aware Autoencoder Loss Jokin Labaien E. Zugasti Xabier De Carlos CML 59 4 0 19 Apr 2021
SurvNAM: The machine learning survival model explanation Lev V. Utkin Egor D. Satyukov A. Konstantinov AAML FAtt 93 30 0 18 Apr 2021
NICE: An Algorithm for Nearest Instance Counterfactual Explanations Dieter Brughmans Pieter Leyman David Martens 83 65 0 15 Apr 2021
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-based Network Intrusion Detection Mohanad Sarhan S. Layeghy Marius Portmann 67 69 0 15 Apr 2021
Enhancing Deep Neural Network Saliency Visualizations with Gradual Extrapolation Tomasz Szandała FAtt 27 4 0 11 Apr 2021
Deep Learning and Traffic Classification: Lessons learned from a commercial-grade dataset with hundreds of encrypted and zero-day applications Lixuan Yang A. Finamore Feng Jun Dario Rossi 27 50 0 07 Apr 2021
VERB: Visualizing and Interpreting Bias Mitigation Techniques for Word Representations Archit Rathore Sunipa Dev J. M. Phillips Vivek Srikumar Yan Zheng Chin-Chia Michael Yeh Junpeng Wang Wei Zhang Bei Wang 80 11 0 06 Apr 2021
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey Thomas Rojat Raphael Puget David Filliat Javier Del Ser R. Gelin Natalia Díaz Rodríguez XAI AI4TS 99 135 0 02 Apr 2021
Anomaly-Based Intrusion Detection by Machine Learning: A Case Study on Probing Attacks to an Institutional Network E. Tufan C. Tezcan Cengiz Acartürk 51 30 0 31 Mar 2021