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A Survey Of Methods For Explaining Black Box Models

6 February 2018

Papers citing "A Survey Of Methods For Explaining Black Box Models"

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Title
Deep Learning for Android Malware Defenses: a Systematic Literature Review Yue Liu Chakkrit Tantithamthavorn Li Li Yepang Liu AAML 88 81 0 09 Mar 2021
Explanations in Autonomous Driving: A Survey Daniel Omeiza Helena Webb Marina Jirotka Lars Kunze 97 223 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
Evaluating Robustness of Counterfactual Explanations André Artelt Valerie Vaquet Riza Velioglu Fabian Hinder Johannes Brinkrolf M. Schilling Barbara Hammer 128 46 0 03 Mar 2021
Interpretable Multi-Modal Hate Speech Detection Prashanth Vijayaraghavan Hugo Larochelle D. Roy 48 36 0 02 Mar 2021
Counterfactual Explanations for Oblique Decision Trees: Exact, Efficient Algorithms Miguel Á. Carreira-Perpiñán Suryabhan Singh Hada CML AAML 52 35 0 01 Mar 2021
Visualizing Rule Sets: Exploration and Validation of a Design Space Jun Yuan O. Nov E. Bertini 44 1 0 01 Mar 2021
Reasons, Values, Stakeholders: A Philosophical Framework for Explainable Artificial Intelligence Atoosa Kasirzadeh 70 24 0 01 Mar 2021
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 123 234 0 25 Feb 2021
HiPaR: Hierarchical Pattern-aided Regression Luis Galárraga Olivier Pelgrin Alexandre Termier 19 1 0 24 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
DNN2LR: Automatic Feature Crossing for Credit Scoring Qiang Liu Zhaocheng Liu Haoli Zhang Yuntian Chen Jun Zhu 33 0 0 24 Feb 2021
Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks Ginevra Carbone G. Sanguinetti Luca Bortolussi FAtt AAML 74 4 0 22 Feb 2021
SQAPlanner: Generating Data-Informed Software Quality Improvement Plans Dilini Sewwandi Rajapaksha Chakkrit Tantithamthavorn Jirayus Jiarpakdee Christoph Bergmeir J. Grundy Wray Buntine 80 35 0 19 Feb 2021
Intuitively Assessing ML Model Reliability through Example-Based Explanations and Editing Model Inputs Harini Suresh Kathleen M. Lewis John Guttag Arvind Satyanarayan FAtt 93 26 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
Integrated Grad-CAM: Sensitivity-Aware Visual Explanation of Deep Convolutional Networks via Integrated Gradient-Based Scoring S. Sattarzadeh M. Sudhakar Konstantinos N. Plataniotis Jongseong Jang Yeonjeong Jeong Hyunwoo J. Kim FAtt 59 39 0 15 Feb 2021
Deep Co-Attention Network for Multi-View Subspace Learning Lecheng Zheng Y. Cheng Hongxia Yang Nan Cao Jingrui He 60 33 0 15 Feb 2021
What does LIME really see in images? Damien Garreau Dina Mardaoui FAtt 64 40 0 11 Feb 2021
Rationally Inattentive Utility Maximization for Interpretable Deep Image Classification Kunal Pattanayak Vikram Krishnamurthy 19 0 0 09 Feb 2021
Towards a mathematical framework to inform Neural Network modelling via Polynomial Regression Pablo Morala Jenny Alexandra Cifuentes R. Lillo Iñaki Ucar 83 34 0 07 Feb 2021
Bandits for Learning to Explain from Explanations Freya Behrens Stefano Teso Davide Mottin FAtt 41 1 0 07 Feb 2021
CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks Ana Lucic Maartje ter Hoeve Gabriele Tolomei Maarten de Rijke Fabrizio Silvestri 213 146 0 05 Feb 2021
EUCA: the End-User-Centered Explainable AI Framework Weina Jin Jianyu Fan D. Gromala Philippe Pasquier Ghassan Hamarneh 111 26 0 04 Feb 2021
Directive Explanations for Actionable Explainability in Machine Learning Applications Ronal Singh Paul Dourish Piers Howe Tim Miller L. Sonenberg Eduardo Velloso F. Vetere 40 35 0 03 Feb 2021
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks Atefeh Shahroudnejad FaML AAML AI4CE XAI 119 36 0 02 Feb 2021
Designing AI for Trust and Collaboration in Time-Constrained Medical Decisions: A Sociotechnical Lens Maia L. Jacobs Jeffrey He Melanie F. Pradier Barbara D. Lam Andrew C Ahn T. McCoy R. Perlis Finale Doshi-Velez Krzysztof Z. Gajos 120 149 0 01 Feb 2021
Explaining Natural Language Processing Classifiers with Occlusion and Language Modeling David Harbecke AAML 51 2 0 28 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
A Few Good Counterfactuals: Generating Interpretable, Plausible and Diverse Counterfactual Explanations Barry Smyth Mark T. Keane CML 96 27 0 22 Jan 2021
GLocalX -- From Local to Global Explanations of Black Box AI Models Mattia Setzu Riccardo Guidotti A. Monreale Franco Turini D. Pedreschi F. Giannotti 105 121 0 19 Jan 2021
Towards interpreting ML-based automated malware detection models: a survey Yuzhou Lin Xiaolin Chang 124 7 0 15 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges Éloi Zablocki H. Ben-younes P. Pérez Matthieu Cord XAI 186 177 0 13 Jan 2021
Towards Interpretable Ensemble Learning for Image-based Malware Detection Yuzhou Lin Xiaolin Chang AAML 65 8 0 13 Jan 2021
How Much Automation Does a Data Scientist Want? Dakuo Wang Q. V. Liao Yunfeng Zhang Udayan Khurana Horst Samulowitz Soya Park Michael J. Muller Lisa Amini AI4CE 75 56 0 07 Jan 2021
Explainable AI and Adoption of Financial Algorithmic Advisors: an Experimental Study D. David Yehezkel S. Resheff Talia Tron 44 24 0 05 Jan 2021
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 209 689 0 28 Dec 2020
Weighted defeasible knowledge bases and a multipreference semantics for a deep neural network model Laura Giordano Daniele Theseider Dupré 71 35 0 24 Dec 2020
On Relating 'Why?' and 'Why Not?' Explanations Alexey Ignatiev Nina Narodytska Nicholas M. Asher Sasha Rubin XAI FAtt LRM 59 26 0 21 Dec 2020
Explaining Black-box Models for Biomedical Text Classification M. Moradi Matthias Samwald 74 21 0 20 Dec 2020
XAI-P-T: A Brief Review of Explainable Artificial Intelligence from Practice to Theory Nazanin Fouladgar Kary Främling XAI 39 4 0 17 Dec 2020
On Exploiting Hitting Sets for Model Reconciliation Stylianos Loukas Vasileiou Alessandro Previti William Yeoh 41 26 0 16 Dec 2020
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 115 157 0 14 Dec 2020
Explanation from Specification Harish Naik Gyorgy Turán XAI 47 0 0 13 Dec 2020
Demystifying Deep Neural Networks Through Interpretation: A Survey Giang Dao Minwoo Lee FaML FAtt 64 1 0 13 Dec 2020
xRAI: Explainable Representations through AI Christian Bartelt Sascha Marton Heiner Stuckenschmidt 8 2 0 10 Dec 2020
Hybrid analytic and machine-learned baryonic property insertion into galactic dark matter haloes Ben Moews R. Davé Sourav Mitra Sultan Hassan W. Cui AI4CE 132 7 0 10 Dec 2020
Influence-Driven Explanations for Bayesian Network Classifiers Antonio Rago Emanuele Albini P. Baroni Francesca Toni 92 9 0 10 Dec 2020
Deep Argumentative Explanations Emanuele Albini Piyawat Lertvittayakumjorn Antonio Rago Francesca Toni AAML 52 5 0 10 Dec 2020