Title
Towards Active Learning Based Smart Assistant for Manufacturing Patrik Zajec Jože M. Rožanec I. Novalija B. Fortuna Dunja Mladenić K. Kenda 19 11 0 30 Mar 2021
Automated freezing of gait assessment with marker-based motion capture and multi-stage spatial-temporal graph convolutional neural networks Benjamin Filtjens Pieter Ginis A. Nieuwboer P. Slaets Bart Vanrumste 28 20 0 29 Mar 2021
Dodrio: Exploring Transformer Models with Interactive Visualization Zijie J. Wang Robert Turko Duen Horng Chau 83 36 0 26 Mar 2021
Randomization-based Machine Learning in Renewable Energy Prediction Problems: Critical Literature Review, New Results and Perspectives Javier Del Ser D. Casillas-Pérez L. Cornejo-Bueno Luis Prieto-Godino J. Sanz-Justo C. Casanova-Mateo S. Salcedo-Sanz AI4CE 70 44 0 26 Mar 2021
Toward Building Science Discovery Machines A. Khalili A. Bouchachia AI4CE 27 1 0 24 Mar 2021
Toward Neural-Network-Guided Program Synthesis and Verification N. Kobayashi Taro Sekiyama Issei Sato Hiroshi Unno NAI 106 3 0 17 Mar 2021
Fairness and Transparency in Recommendation: The Users' Perspective Nasim Sonboli Jessie J. Smith Florencia Cabral Berenfus Robin Burke Casey Fiesler FaML 70 69 0 16 Mar 2021
Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts Ayoub El Qadi Natalia Díaz Rodríguez M. Trocan Thomas Frossard 28 6 0 15 Mar 2021
Explainable AI by BAPC -- Before and After correction Parameter Comparison F. Sobieczky Manuela Geiß 72 1 0 12 Mar 2021
A conditional, a fuzzy and a probabilistic interpretation of self-organising maps Laura Giordano Valentina Gliozzi Daniele Theseider Dupré AI4CE 68 23 0 11 Mar 2021
Explanations in Autonomous Driving: A Survey Daniel Omeiza Helena Webb Marina Jirotka Lars Kunze 99 223 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 165 179 0 07 Mar 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 59 21 0 04 Mar 2021
Deep Learning Based Decision Support for Medicine -- A Case Study on Skin Cancer Diagnosis Adriano Lucieri Andreas Dengel Sheraz Ahmed 112 7 0 02 Mar 2021
A Comprehensive Study on Face Recognition Biases Beyond Demographics Philipp Terhörst Jan Niklas Kolf Marco Huber Florian Kirchbuchner Naser Damer Aythami Morales Julian Fierrez Arjan Kuijper 93 119 0 02 Mar 2021
Explainable AI in Credit Risk Management Branka Hadji Misheva Jörg Osterrieder Ali Hirsa O. Kulkarni Stephen Lin 72 70 0 01 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 339 884 0 01 Mar 2021
Incorporating Domain Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja A. Srinivasan AI4CE 67 9 0 27 Feb 2021
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 127 234 0 25 Feb 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing Sarah Wiegreffe Ana Marasović XAI 93 146 0 24 Feb 2021
Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving Chen Tang Nishan Srishankar Sujitha Martin Masayoshi Tomizuka 116 11 0 23 Feb 2021
Differentiable Logic Machines Matthieu Zimmer Xuening Feng Claire Glanois Zhaohui Jiang Jianyi Zhang Paul Weng Li Dong Hao Jianye Liu Wulong AI4CE 91 23 0 23 Feb 2021
Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases Xuehao Liu Sarah Jane Delany Susan Mckeever 27 0 0 22 Feb 2021
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification Alejandro Barredo Arrieta S. Gil-Lopez I. Laña Miren Nekane Bilbao Javier Del Ser AI4TS 58 13 0 17 Feb 2021
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 125 432 0 15 Feb 2021
Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural Networks M. Sudhakar S. Sattarzadeh Konstantinos N. Plataniotis Jongseong Jang Yeonjeong Jeong Hyunwoo J. Kim AAML 62 11 0 15 Feb 2021
The human-AI relationship in decision-making: AI explanation to support people on justifying their decisions J. Ferreira Mateus de Souza Monteiro 87 24 0 10 Feb 2021
Enhancing Human-Machine Teaming for Medical Prognosis Through Neural Ordinary Differential Equations (NODEs) D. A. Fompeyrine E. Vorm N. Ricka F. Rose G. Pellegrin 43 7 0 08 Feb 2021
Robust Explanations for Private Support Vector Machines R. Mochaourab Sugandh Sinha S. Greenstein P. Papapetrou 16 2 0 07 Feb 2021
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders Harshana Habaragamuwa Y. Oishi Kenichi Tanaka 100 9 0 05 Feb 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 141 505 0 03 Feb 2021
A Taxonomy of Explainable Bayesian Networks I. Derks A. D. Waal BDL XAI 23 22 0 28 Jan 2021
Uncertainty aware and explainable diagnosis of retinal disease Amitojdeep Singh S. Sengupta M. Rasheed Varadharajan Jayakumar Vasudevan Lakshminarayanan BDL 53 21 0 26 Jan 2021
Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic Systems Jennifer Cobbe M. S. Lee Jatinder Singh 61 77 0 26 Jan 2021
Explainable Artificial Intelligence Approaches: A Survey Sheikh Rabiul Islam W. Eberle S. Ghafoor Mohiuddin Ahmed XAI 87 104 0 23 Jan 2021
Benchmarking Perturbation-based Saliency Maps for Explaining Atari Agents Tobias Huber Benedikt Limmer Elisabeth André FAtt 39 14 0 18 Jan 2021
Expanding Explainability: Towards Social Transparency in AI systems Upol Ehsan Q. V. Liao Michael J. Muller Mark O. Riedl Justin D. Weisz 91 411 0 12 Jan 2021
Explainable Artificial Intelligence (XAI): An Engineering Perspective F. Hussain R. Hussain E. Hossain XAI 76 26 0 10 Jan 2021
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused Information Zhengqi He Taro Toyoizumi 41 1 0 08 Jan 2021
From Learning to Relearning: A Framework for Diminishing Bias in Social Robot Navigation Juana Valeria Hurtado Laura Londoño Abhinav Valada 93 29 0 07 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 105 3 0 04 Jan 2021
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python Hubert Baniecki Wojciech Kretowicz Piotr Piątyszek J. Wiśniewski P. Biecek FaML 98 97 0 28 Dec 2020
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 209 689 0 28 Dec 2020
Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques David Morales Estefanía Talavera B. Remeseiro 62 6 0 28 Dec 2020
Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model Laura Giordano Daniele Theseider Dupré 73 35 0 24 Dec 2020
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial Learning Silvan Mertes Tobias Huber Katharina Weitz Alexander Heimerl Elisabeth André GAN AAML MedIm 104 74 0 22 Dec 2020
Fusing CNNs and statistical indicators to improve image classification Javier Huertas-Tato Alejandro Martín Julián Fierrez David Camacho 87 37 0 20 Dec 2020
Constructing and Evaluating an Explainable Model for COVID-19 Diagnosis from Chest X-rays Rishab Khincha S. Krishnan T. Dash Lovekesh Vig A. Srinivasan MedIm 26 3 0 19 Dec 2020
Predicting Events in MOBA Games: Prediction, Attribution, and Evaluation Zelong Yang Yan Wang Piji Li Shaobin Lin Shuming Shi Shao-Lun Huang Wei Bi 118 13 0 17 Dec 2020
Investigating ADR mechanisms with knowledge graph mining and explainable AI E. Bresso Pierre Monnin C. Bousquet François-Élie Calvier N. Ndiaye N. Petitpain Malika Smaïl-Tabbone Adrien Coulet 23 1 0 16 Dec 2020