Title
Explaining Credit Risk Scoring through Feature Contribution Alignment with Expert Risk Analysts Ayoub El Qadi Natalia Díaz Rodríguez M. Trocan Thomas Frossard 127 7 0 15 Mar 2021
Explainable AI by BAPC -- Before and After correction Parameter Comparison F. Sobieczky Manuela Geiß 120 3 0 12 Mar 2021
A conditional, a fuzzy and a probabilistic interpretation of self-organising mapsJournal of Logic and Computation (J. Log. Comput.), 2021 Laura Giordano Valentina Gliozzi Daniele Theseider Dupré AI4CE 233 23 0 11 Mar 2021
Explanations in Autonomous Driving: A Survey Daniel Omeiza Helena Webb Marina Jirotka Lars Kunze 402 276 0 09 Mar 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and ApplicationsInformation Fusion (Inf. Fusion), 2021 Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 315 213 0 07 Mar 2021
Ensembles of Random SHAPs Lev V. Utkin A. Konstantinov FAtt 145 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 185 8 0 02 Mar 2021
A Comprehensive Study on Face Recognition Biases Beyond DemographicsIEEE Transactions on Technology and Society (IEEE TTS), 2021 Philipp Terhörst Jan Niklas Kolf Marco Huber Florian Kirchbuchner Naser Damer Aythami Morales Julian Fierrez Arjan Kuijper 160 135 0 02 Mar 2021
Explainable AI in Credit Risk ManagementSocial Science Research Network (SSRN), 2021 Branka Hadji Misheva Jörg Osterrieder Ali Hirsa O. Kulkarni Stephen Lin 146 88 0 01 Mar 2021
Towards Personalized Federated LearningIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 573 1,081 0 01 Mar 2021
Incorporating Domain Knowledge into Deep Neural Networks T. Dash Sharad Chitlangia Aditya Ahuja Harshvardhan Mestha AI4CE 225 14 0 27 Feb 2021
Benchmarking and Survey of Explanation Methods for Black Box ModelsData mining and knowledge discovery (DMKD), 2021 F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 302 277 0 25 Feb 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing Sarah Wiegreffe Ana Marasović XAI 421 161 0 24 Feb 2021
Grounded Relational Inference: Domain Knowledge Driven Explainable Autonomous Driving Chen Tang Nishan Srishankar Sujitha Martin Masayoshi Tomizuka 175 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 244 28 0 23 Feb 2021
Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases Xuehao Liu Sarah Jane Delany Susan Mckeever 48 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 136 14 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 ResearchArtificial Intelligence (AI), 2021 Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 209 489 0 15 Feb 2021
Ada-SISE: Adaptive Semantic Input Sampling for Efficient Explanation of Convolutional Neural NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 M. Sudhakar S. Sattarzadeh Konstantinos N. Plataniotis Jongseong Jang Yeonjeong Jeong Hyunwoo J. Kim AAML 110 12 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 174 24 0 10 Feb 2021
Enhancing Human-Machine Teaming for Medical Prognosis Through Neural Ordinary Differential Equations (NODEs)Human-Intelligent Systems Integration (HSI), 2021 D. A. Fompeyrine E. Vorm N. Ricka F. Rose G. Pellegrin 104 7 0 08 Feb 2021
Robust Explanations for Private Support Vector Machines R. Mochaourab Sugandh Sinha S. Greenstein P. Papapetrou 61 4 0 07 Feb 2021
Achieving Explainability for Plant Disease Classification with Disentangled Variational AutoencodersEngineering applications of artificial intelligence (EAAI), 2021 Harshana Habaragamuwa Y. Oishi Kenichi Tanaka 212 11 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 BeyondInformation Fusion (Inf. Fusion), 2021 Guang Yang Qinghao Ye Jun Xia 257 567 0 03 Feb 2021
A Taxonomy of Explainable Bayesian Networks I. Derks A. D. Waal BDL XAI 96 24 0 28 Jan 2021
Uncertainty aware and explainable diagnosis of retinal disease Amitojdeep Singh S. Sengupta M. Rasheed Varadharajan Jayakumar Vasudevan Lakshminarayanan BDL 119 22 0 26 Jan 2021
Reviewable Automated Decision-Making: A Framework for Accountable Algorithmic SystemsConference on Fairness, Accountability and Transparency (FAccT), 2021 Jennifer Cobbe M. S. Lee Jatinder Singh 104 92 0 26 Jan 2021
Explainable Artificial Intelligence Approaches: A Survey Sheikh Rabiul Islam W. Eberle S. Ghafoor Mohiuddin Ahmed XAI 153 121 0 23 Jan 2021
Benchmarking Perturbation-based Saliency Maps for Explaining Atari AgentsFrontiers in Artificial Intelligence (Front. Artif. Intell.), 2021 Tobias Huber Benedikt Limmer Elisabeth André FAtt 139 18 0 18 Jan 2021
Expanding Explainability: Towards Social Transparency in AI systemsInternational Conference on Human Factors in Computing Systems (CHI), 2021 Upol Ehsan Q. V. Liao Michael J. Muller Mark O. Riedl Justin D. Weisz 236 473 0 12 Jan 2021
Explainable Artificial Intelligence (XAI): An Engineering Perspective F. Hussain R. Hussain E. Hossain XAI 146 33 0 10 Jan 2021
Progressive Interpretation Synthesis: Interpreting Task Solving by Quantifying Previously Used and Unused InformationNeural Computation (Neural Comput.), 2021 Zhengqi He Taro Toyoizumi 178 1 0 08 Jan 2021
From Learning to Relearning: A Framework for Diminishing Bias in Social Robot NavigationFrontiers in Robotics and AI (Front. Robot. AI), 2021 Juana Valeria Hurtado Laura Londoño Abhinav Valada 177 36 0 07 Jan 2021
Advances in Electron Microscopy with Deep Learning Jeffrey M. Ede 568 29 0 04 Jan 2021
dalex: Responsible Machine Learning with Interactive Explainability and Fairness in PythonJournal of machine learning research (JMLR), 2020 Hubert Baniecki Wojciech Kretowicz Piotr Piątyszek J. Wiśniewski P. Biecek FaML 218 123 0 28 Dec 2020
A Survey on Neural Network InterpretabilityIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2020 Yu Zhang Peter Tiño A. Leonardis Shengcai Liu FaML XAI 462 813 0 28 Dec 2020
Playing to distraction: towards a robust training of CNN classifiers through visual explanation techniques David Morales Estefanía Talavera B. Remeseiro 212 7 0 28 Dec 2020
Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network modelEuropean Conference on Logics in Artificial Intelligence (JELIA), 2020 Laura Giordano Daniele Theseider Dupré 192 38 0 24 Dec 2020
GANterfactual - Counterfactual Explanations for Medical Non-Experts using Generative Adversarial LearningFrontiers in Artificial Intelligence (FAI), 2020 Silvan Mertes Tobias Huber Katharina Weitz Alexander Heimerl Elisabeth André GAN AAML MedIm 288 102 0 22 Dec 2020
Fusing CNNs and statistical indicators to improve image classificationInformation Fusion (Inf. Fusion), 2020 Javier Huertas-Tato Alejandro Martín Julián Fierrez David Camacho 190 42 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 Harshvardhan Mestha MedIm 179 3 0 19 Dec 2020
Predicting Events in MOBA Games: Prediction, Attribution, and EvaluationIEEE Transactions on Games (IEEE Trans. Games), 2020 Zelong Yang Yan Wang Piji Li Shaobin Lin Shuming Shi Shao-Lun Huang Wei Bi 267 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 72 1 0 16 Dec 2020
Convolutional Neural Networks from Image Markers B. C. Benato I. E. D. Souza F. L. Galvão A. X. Falcão 80 5 0 15 Dec 2020
Towards open and expandable cognitive AI architectures for large-scale multi-agent human-robot collaborative learningIEEE Access (IEEE Access), 2020 Georgios Th. Papadopoulos M. Antona C. Stephanidis AI4CE 207 33 0 15 Dec 2020
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical ChallengesComputer Science Review (CSR), 2020 Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 512 182 0 14 Dec 2020
Evolutionary learning of interpretable decision treesIEEE Access (IEEE Access), 2020 Leonardo Lucio Custode Giovanni Iacca OffRL 251 51 0 14 Dec 2020
Explanation from Specification Harish Naik Gyorgy Turán XAI 103 0 0 13 Dec 2020
Physics-Guided Spoof Trace Disentanglement for Generic Face Anti-Spoofing Yaojie Liu Xiaoming Liu AAML 131 10 0 09 Dec 2020
Explainable AI for Interpretable Credit Scoring Lara Marie Demajo Vince Vella A. Dingli 238 45 0 03 Dec 2020