Title
An Information-theoretic Visual Analysis Framework for Convolutional Neural Networks Jingyi Shen Han-Wei Shen FAtt HAI 15 1 0 02 May 2020
The Grammar of Interactive Explanatory Model Analysis Hubert Baniecki Dariusz Parzych P. Biecek 75 46 0 01 May 2020
Explainable Deep Learning: A Field Guide for the Uninitiated Gabrielle Ras Ning Xie Marcel van Gerven Derek Doran AAML XAI 118 382 0 30 Apr 2020
Learning a Formula of Interpretability to Learn Interpretable Formulas M. Virgolin A. D. Lorenzo Eric Medvet Francesca Randone 70 35 0 23 Apr 2020
Deep Echo State Networks for Short-Term Traffic Forecasting: Performance Comparison and Statistical Assessment Javier Del Ser I. Laña Eric L. Manibardo I. Oregi E. Osaba J. Lobo Miren Nekane Bilbao E. Vlahogianni 55 16 0 17 Apr 2020
Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19 F. Shi Jun Wang Jun Shi Zi-xiang Wu Qian Wang Zhenyu Tang Kelei He Yinghuan Shi Dinggang Shen 108 1,060 0 06 Apr 2020
R3: A Reading Comprehension Benchmark Requiring Reasoning Processes Ran Wang Kun Tao Dingjie Song Zhilong Zhang Xiao Ma Xiáo Su Xinyu Dai 64 3 0 02 Apr 2020
Plausible Counterfactuals: Auditing Deep Learning Classifiers with Realistic Adversarial Examples Alejandro Barredo Arrieta Javier Del Ser AAML 118 24 0 25 Mar 2020
Learn to Forget: Machine Unlearning via Neuron Masking Yang Liu Zhuo Ma Ximeng Liu Jian Liu Zhongyuan Jiang Jianfeng Ma Philip Yu K. Ren MU 88 67 0 24 Mar 2020
SurvLIME: A method for explaining machine learning survival models M. Kovalev Lev V. Utkin E. Kasimov 292 91 0 18 Mar 2020
Pre-trained Models for Natural Language Processing: A Survey Xipeng Qiu Tianxiang Sun Yige Xu Yunfan Shao Ning Dai Xuanjing Huang LM&MA VLM 393 1,500 0 18 Mar 2020
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications Wojciech Samek G. Montavon Sebastian Lapuschkin Christopher J. Anders K. Müller XAI 143 83 0 17 Mar 2020
Towards Transparent Robotic Planning via Contrastive Explanations Shenghui Chen Kayla Boggess Lu Feng 53 9 0 16 Mar 2020
Ground Truth Evaluation of Neural Network Explanations with CLEVR-XAI L. Arras Ahmed Osman Wojciech Samek XAI AAML 97 157 0 16 Mar 2020
Universal Function Approximation on Graphs Rickard Brüel-Gabrielsson 61 6 0 14 Mar 2020
Explainable Agents Through Social Cues: A Review Sebastian Wallkötter Silvia Tulli Ginevra Castellano Ana Paiva Mohamed Chetouani 60 13 0 11 Mar 2020
Vector symbolic architectures for context-free grammars P. B. Graben Markus Huber Werner Meyer Ronald Römer M. Wolff 66 9 0 11 Mar 2020
Towards CRISP-ML(Q): A Machine Learning Process Model with Quality Assurance Methodology Stefan Studer T. Bui C. Drescher A. Hanuschkin Ludwig Winkler S. Peters Klaus-Robert Muller 133 180 0 11 Mar 2020
Towards Interpretable ANNs: An Exact Transformation to Multi-Class Multivariate Decision Trees Duy T. Nguyen Kathryn E. Kasmarik H. Abbass 30 8 0 10 Mar 2020
Information cartography in association rule mining Iztok Fister Iztok Fister 36 13 0 29 Feb 2020
AI safety: state of the field through quantitative lens Mislav Juric A. Sandic Mario Brčič 93 24 0 12 Feb 2020
From Data to Actions in Intelligent Transportation Systems: a Prescription of Functional Requirements for Model Actionability I. Laña J. S. Medina E. Vlahogianni Javier Del Ser 103 52 0 06 Feb 2020
LUNAR: Cellular Automata for Drifting Data Streams J. Lobo Javier Del Ser Francisco Herrera AI4TS 38 4 0 06 Feb 2020
MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1 error rate. Ensembles overview and proposal Siham Tabik R. F. Alvear-Sandoval María M. Ruiz J. Sancho-Gómez A. Figueiras-Vidal Francisco Herrera 118 34 0 30 Jan 2020
An interpretable semi-supervised classifier using two different strategies for amended self-labeling Isel Grau Dipankar Sengupta M. Lorenzo A. Nowé SSL 93 4 0 26 Jan 2020
Explainable Artificial Intelligence and Machine Learning: A reality rooted perspective F. Emmert-Streib O. Yli-Harja M. Dehmer 48 85 0 26 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 94 317 0 08 Jan 2020
Questioning the AI: Informing Design Practices for Explainable AI User Experiences Q. V. Liao D. Gruen Sarah Miller 142 733 0 08 Jan 2020
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation Tianhong Dai Kai Arulkumaran Tamara Gerbert Samyakh Tukra Feryal M. P. Behbahani Anil Anthony Bharath 87 28 0 18 Dec 2019
Understanding complex predictive models with Ghost Variables Pedro Delicado D. Peña FAtt 44 5 0 13 Dec 2019
Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM A. Barbado Óscar Corcho Richard Benjamins 59 54 0 21 Nov 2019
Explainable Artificial Intelligence (XAI) for 6G: Improving Trust between Human and Machine Weisi Guo 69 40 0 11 Nov 2019
Learning Fair Rule Lists Ulrich Aïvodji Julien Ferry Sébastien Gambs Marie-José Huguet Mohamed Siala FaML 64 11 0 09 Sep 2019
Satellite-Net: Automatic Extraction of Land Cover Indicators from Satellite Imagery by Deep Learning Eleonora Bernasconi Francesco Pugliese Diego Zardetto M. Scannapieco 29 3 0 22 Jul 2019
A Survey on Explainable Artificial Intelligence (XAI): Towards Medical XAI Erico Tjoa Cuntai Guan XAI 170 1,464 0 17 Jul 2019
A Multi-Objective Anytime Rule Mining System to Ease Iterative Feedback from Domain Experts T. Baum Steffen Herbold K. Schneider 23 4 0 23 Dec 2018
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems Sina Mohseni Niloofar Zarei Eric D. Ragan 122 102 0 28 Nov 2018
On a Sparse Shortcut Topology of Artificial Neural Networks Fenglei Fan Dayang Wang Hengtao Guo Qikui Zhu Pingkun Yan Ge Wang Hengyong Yu 139 22 0 22 Nov 2018
XAI Beyond Classification: Interpretable Neural Clustering Xi Peng Yunfan Li Ivor W. Tsang Erik Cambria Jiancheng Lv Qiufeng Wang 75 75 0 22 Aug 2018