Interpretable machine learning: definitions, methods, and applications

14 January 2019

Papers citing "Interpretable machine learning: definitions, methods, and applications"

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Title
Group Probability-Weighted Tree Sums for Interpretable Modeling of Heterogeneous Data Keyan Nasseri Chandan Singh James Duncan Aaron E. Kornblith Bin-Xia Yu 14 3 0 30 May 2022
Rethinking Saliency Map: An Context-aware Perturbation Method to Explain EEG-based Deep Learning Model Hanqi Wang Xiaoguang Zhu Tao Chen Chengfang Li Liang Song FAtt 16 5 0 30 May 2022
Group-level Brain Decoding with Deep Learning Richard Csaky M. Es Oiwi Parker Jones M. Woolrich 33 11 0 27 May 2022
Measuring algorithmic interpretability: A human-learning-based framework and the corresponding cognitive complexity score John P. Lalor Hong Guo 17 1 0 20 May 2022
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations Jessica Dai Sohini Upadhyay Ulrich Aïvodji Stephen H. Bach Himabindu Lakkaraju 40 56 0 15 May 2022
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability Enyan Dai Tianxiang Zhao Huaisheng Zhu Jun Xu Zhimeng Guo Hui Liu Jiliang Tang Suhang Wang 31 132 0 18 Apr 2022
Harnessing Interpretable Machine Learning for Holistic Inverse Design of Origami Yi Zhu E. Filipov AI4CE 11 2 0 12 Apr 2022
Assessing the communication gap between AI models and healthcare professionals: explainability, utility and trust in AI-driven clinical decision-making Oskar Wysocki J. Davies Markel Vigo Anne Caroline Armstrong Dónal Landers Rebecca Lee André Freitas 11 62 0 11 Apr 2022
Interpretation of Black Box NLP Models: A Survey Shivani Choudhary N. Chatterjee S. K. Saha FAtt 34 10 0 31 Mar 2022
A Meta Survey of Quality Evaluation Criteria in Explanation Methods Helena Lofstrom K. Hammar Ulf Johansson XAI 29 11 0 25 Mar 2022
Emulating Quantum Dynamics with Neural Networks via Knowledge Distillation Yu Yao C. Cao S. Haas Mahak Agarwal Divya Khanna M. Abram 21 4 0 19 Mar 2022
Interpretable machine learning in Physics C. Grojean A. Paul Zhuoni Qian Inga Strümke AI4CE FAtt 13 26 0 11 Mar 2022
Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks Nicola Garau N. Bisagno Zeno Sambugaro Nicola Conci 29 21 0 07 Mar 2022
Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box Catarina Moreira Yu-Liang Chou Chih-Jou Hsieh Chun Ouyang Joaquim A. Jorge João Pereira CML 27 9 0 04 Mar 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 36 9 0 23 Feb 2022
Margin-distancing for safe model explanation Tom Yan Chicheng Zhang 28 3 0 23 Feb 2022
A Survey of Explainable Reinforcement Learning Stephanie Milani Nicholay Topin Manuela Veloso Fei Fang XAI LRM 22 52 0 17 Feb 2022
Trust in AI: Interpretability is not necessary or sufficient, while black-box interaction is necessary and sufficient Max W. Shen 25 18 0 10 Feb 2022
Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest Radiographs Dipkamal Bhusal S. Panday 22 5 0 08 Feb 2022
Machine Learning in Heterogeneous Porous Materials Martha DÉli H. Deng Cedric G. Fraces K. Garikipati L. Graham‐Brady ... H. Tchelepi B. Važić Hari S. Viswanathan H. Yoon P. Zarzycki AI4CE 25 9 0 04 Feb 2022
Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods Abhineet Agarwal Yan Shuo Tan Omer Ronen Chandan Singh Bin-Xia Yu 65 27 0 02 Feb 2022
Fast Interpretable Greedy-Tree Sums Yan Shuo Tan Chandan Singh Keyan Nasseri Abhineet Agarwal James Duncan Omer Ronen M. Epland Aaron E. Kornblith Bin-Xia Yu AI4CE 27 6 0 28 Jan 2022
Learning Optimal Fair Classification Trees: Trade-offs Between Interpretability, Fairness, and Accuracy Nathanael Jo S. Aghaei A. Gómez P. Vayanos FaML 29 12 0 24 Jan 2022
From Anecdotal Evidence to Quantitative Evaluation Methods: A Systematic Review on Evaluating Explainable AI Meike Nauta Jan Trienes Shreyasi Pathak Elisa Nguyen Michelle Peters Yasmin Schmitt Jorg Schlotterer M. V. Keulen C. Seifert ELM XAI 28 396 0 20 Jan 2022
ExAID: A Multimodal Explanation Framework for Computer-Aided Diagnosis of Skin Lesions Adriano Lucieri Muhammad Naseer Bajwa S. Braun M. I. Malik Andreas Dengel Sheraz Ahmed 36 61 0 04 Jan 2022
Explainability Is in the Mind of the Beholder: Establishing the Foundations of Explainable Artificial Intelligence Kacper Sokol Peter A. Flach 39 20 0 29 Dec 2021
Prolog-based agnostic explanation module for structured pattern classification Gonzalo Nápoles Fabian Hoitsma A. Knoben A. Jastrzębska Maikel Leon Espinosa 17 13 0 23 Dec 2021
AcME -- Accelerated Model-agnostic Explanations: Fast Whitening of the Machine-Learning Black Box David Dandolo Chiara Masiero Mattia Carletti Davide Dalle Pezze Gian Antonio Susto FAtt LRM 24 22 0 23 Dec 2021
Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation Raymond Li Wen Xiao Linzi Xing Lanjun Wang Gabriel Murray Giuseppe Carenini ViT 27 7 0 10 Dec 2021
Training Experimentally Robust and Interpretable Binarized Regression Models Using Mixed-Integer Programming Sanjana Tule Nhi H. Le B. Say 14 0 0 01 Dec 2021
Learning from learning machines: a new generation of AI technology to meet the needs of science L. Pion-Tonachini K. Bouchard Héctor García Martín S. Peisert W. B. Holtz ... Rick L. Stevens Mark Anderson Ken Kreutz-Delgado Michael W. Mahoney James B. Brown 30 7 0 27 Nov 2021
Scrutinizing XAI using linear ground-truth data with suppressor variables Rick Wilming Céline Budding K. Müller Stefan Haufe FAtt 16 26 0 14 Nov 2021
Glass-box model representation of seismic failure mode prediction for conventional RC shear walls Z. Deger Gülsen Taskin Kaya 15 16 0 12 Nov 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 36 414 0 11 Nov 2021
Self-Interpretable Model with TransformationEquivariant Interpretation Yipei Wang Xiaoqian Wang 38 23 0 09 Nov 2021
Exploring Explainable AI in the Financial Sector: Perspectives of Banks and Supervisory Authorities O. Kuiper M. V. D. Berg Joost van den Burgt S. Leijnen 11 17 0 03 Nov 2021
Designing Inherently Interpretable Machine Learning Models Agus Sudjianto Aijun Zhang FaML 11 31 0 02 Nov 2021
A cautionary tale on fitting decision trees to data from additive models: generalization lower bounds Yan Shuo Tan Abhineet Agarwal Bin Yu 19 10 0 18 Oct 2021
A New Approach for Interpretability and Reliability in Clinical Risk Prediction: Acute Coronary Syndrome Scenario Francisco Valente J. Henriques Simão Paredes Teresa Rocha Paulo de Carvalho João Morais OOD 19 22 0 15 Oct 2021
Shapley variable importance clouds for interpretable machine learning Yilin Ning M. Ong Bibhas Chakraborty B. Goldstein Daniel Ting Roger Vaughan Nan Liu FAtt 27 69 0 06 Oct 2021
Unpacking the Black Box: Regulating Algorithmic Decisions Laura Blattner Scott Nelson Jann Spiess MLAU FaML 28 19 0 05 Oct 2021
BI-RADS-Net: An Explainable Multitask Learning Approach for Cancer Diagnosis in Breast Ultrasound Images Boyu Zhang Aleksandar Vakanski Min Xian 22 11 0 05 Oct 2021
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment Eli Ben-Michael D. J. Greiner Kosuke Imai Zhichao Jiang OffRL 30 22 0 22 Sep 2021
Fast TreeSHAP: Accelerating SHAP Value Computation for Trees Jilei Yang FAtt 33 35 0 20 Sep 2021
Towards Out-Of-Distribution Generalization: A Survey Jiashuo Liu Zheyan Shen Yue He Xingxuan Zhang Renzhe Xu Han Yu Peng Cui CML OOD 55 517 0 31 Aug 2021
Explainable AI for engineering design: A unified approach of systems engineering and component-based deep learning Philipp Geyer M. Singh Xia Chen 16 13 0 30 Aug 2021
Multilingual Multi-Aspect Explainability Analyses on Machine Reading Comprehension Models Yiming Cui Weinan Zhang Wanxiang Che Ting Liu Zhigang Chen Shijin Wang LRM 17 9 0 26 Aug 2021
Interpreting and improving deep-learning models with reality checks Chandan Singh Wooseok Ha Bin Yu FAtt 22 3 0 16 Aug 2021
An Interpretable Algorithm for Uveal Melanoma Subtyping from Whole Slide Cytology Images Haomin Chen T. Y. A. Liu Catalina Gomez Z. Corrêa Mathias Unberath 23 3 0 13 Aug 2021
Contemporary Symbolic Regression Methods and their Relative Performance William La Cava Patryk Orzechowski Bogdan Burlacu Fabrício Olivetti de Francca M. Virgolin Ying Jin M. Kommenda J. Moore 38 249 0 29 Jul 2021