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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
Boundary-Aware Uncertainty for Feature Attribution Explainers Davin Hill A. Masoomi Max Torop S. Ghimire Jennifer Dy FAtt 147 3 0 05 Oct 2022
Exploring Effectiveness of Explanations for Appropriate Trust: Lessons from Cognitive Psychology R. Verhagen Siddharth Mehrotra Mark Antonius Neerincx Catholijn M. Jonker Myrthe L. Tielman 42 1 0 05 Oct 2022
Explanation-by-Example Based on Item Response Theory Lucas F. F. Cardoso Joseph Ribeiro Vitor Santos R. Silva M. Mota R. Prudêncio Ronnie Cley de Oliveira Alves 87 5 0 04 Oct 2022
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction Sunnie S. Y. Kim E. A. Watkins Olga Russakovsky Ruth C. Fong Andrés Monroy-Hernández 101 117 0 02 Oct 2022
Causal Proxy Models for Concept-Based Model Explanations Zhengxuan Wu Karel DÓosterlinck Atticus Geiger Amir Zur Christopher Potts MILM 132 37 0 28 Sep 2022
Greybox XAI: a Neural-Symbolic learning framework to produce interpretable predictions for image classification Adrien Bennetot Gianni Franchi Javier Del Ser Raja Chatila Natalia Díaz Rodríguez AAML 84 28 0 26 Sep 2022
AI, Opacity, and Personal Autonomy Bram Vaassen FaML MLAU 39 29 0 25 Sep 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 148 53 0 23 Sep 2022
The Ability of Image-Language Explainable Models to Resemble Domain Expertise P. Werner Anna Zapaishchykova Ujjwal Ratan 79 2 0 19 Sep 2022
RESHAPE: Explaining Accounting Anomalies in Financial Statement Audits by enhancing SHapley Additive exPlanations Ricardo Müller Marco Schreyer Timur Sattarov Damian Borth AAML MLAU 127 7 0 19 Sep 2022
A model-agnostic approach for generating Saliency Maps to explain inferred decisions of Deep Learning Models S. Karatsiolis A. Kamilaris FAtt 64 1 0 19 Sep 2022
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances Minghua Ma Zhao Tian Max Hort Federica Sarro Hongyu Zhang Qingwei Lin Dongmei Zhang 55 5 0 17 Sep 2022
Computing Abductive Explanations for Boosted Trees Gilles Audemard Jean-Marie Lagniez Pierre Marquis N. Szczepanski 84 14 0 16 Sep 2022
Studying the explanations for the automated prediction of bug and non-bug issues using LIME and SHAP Benjamin Ledel Steffen Herbold FAtt 134 4 0 15 Sep 2022
Symbolic Knowledge Extraction from Opaque Predictors Applied to Cosmic-Ray Data Gathered with LISA Pathfinder Federico Sabbatini C. Grimani 48 11 0 10 Sep 2022
Shapley value-based approaches to explain the robustness of classifiers in machine learning G. D. Pelegrina S. Siraj FAtt 28 3 0 09 Sep 2022
Change Detection for Local Explainability in Evolving Data Streams Johannes Haug Alexander Braun Stefan Zurn Gjergji Kasneci FAtt 40 10 0 06 Sep 2022
Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent Van Bach Nguyen Jorg Schlotterer C. Seifert AILaw 38 12 0 06 Sep 2022
Making the black-box brighter: interpreting machine learning algorithm for forecasting drilling accidents E. Gurina Nikita Klyuchnikov Ksenia Antipova D. Koroteev FAtt 76 8 0 06 Sep 2022
Visualization Of Class Activation Maps To Explain AI Classification Of Network Packet Captures Igor Cherepanov Alex Ulmer Jonathan Geraldi Joewono Jörn Kohlhammer FAtt 58 5 0 05 Sep 2022
INTERACTION: A Generative XAI Framework for Natural Language Inference Explanations Jialin Yu Alexandra I. Cristea Anoushka Harit Zhongtian Sun O. Aduragba Lei Shi Noura Al Moubayed 74 10 0 02 Sep 2022
A Framework for Inherently Interpretable Optimization Models Marc Goerigk Michael Hartisch AI4CE 100 17 0 26 Aug 2022
Augmented cross-selling through explainable AI -- a case from energy retailing Felix Haag K. Hopf Pedro Menelau Vasconcelos Thorsten Staake 62 4 0 24 Aug 2022
A Nested Genetic Algorithm for Explaining Classification Data Sets with Decision Rules P. Matt Rosina Ziegler Danilo Brajovic Marco Roth Marco F. Huber 57 2 0 23 Aug 2022
Causality-Inspired Taxonomy for Explainable Artificial Intelligence Pedro C. Neto Tiago B. Gonccalves João Ribeiro Pinto W. Silva Ana F. Sequeira Arun Ross Jaime S. Cardoso XAI 110 13 0 19 Aug 2022
Causal Intervention Improves Implicit Sentiment Analysis Siyin Wang Jie Zhou Changzhi Sun Junjie Ye Tao Gui Qi Zhang Xuanjing Huang 69 18 0 19 Aug 2022
Quality Diversity Evolutionary Learning of Decision Trees Andrea Ferigo Leonardo Lucio Custode Giovanni Iacca 91 13 0 17 Aug 2022
A Visual Analytics System for Improving Attention-based Traffic Forecasting Models Seungmin Jin Hyunwoo Lee Cheonbok Park Hyeshin Chu Yunwon Tae Jaegul Choo Sungahn Ko 42 15 0 08 Aug 2022
An Empirical Evaluation of Predicted Outcomes as Explanations in Human-AI Decision-Making Johannes Jakubik Jakob Schöffer Vincent Hoge Michael Vossing Niklas Kühl 56 11 0 08 Aug 2022
Leveraging Explanations in Interactive Machine Learning: An Overview Stefano Teso Öznur Alkan Wolfgang Stammer Elizabeth M. Daly XAI FAtt LRM 160 63 0 29 Jul 2022
A Survey of Explainable Graph Neural Networks: Taxonomy and Evaluation Metrics Yiqiao Li Jianlong Zhou Sunny Verma Fang Chen XAI 100 40 0 26 Jul 2022
Explainable AI Algorithms for Vibration Data-based Fault Detection: Use Case-adadpted Methods and Critical Evaluation Oliver Mey Deniz Neufeld 60 24 0 21 Jul 2022
Constrained Prescriptive Trees via Column Generation Shivaram Subramanian Wei-Ju Sun Youssef Drissi M. Ettl 81 9 0 20 Jul 2022
Lazy Estimation of Variable Importance for Large Neural Networks Yue Gao Abby Stevens Rebecca Willett Garvesh Raskutti 109 4 0 19 Jul 2022
Beware the Rationalization Trap! When Language Model Explainability Diverges from our Mental Models of Language Rita Sevastjanova Mennatallah El-Assady LRM 84 10 0 14 Jul 2022
Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities Subash Neupane Jesse Ables William Anderson Sudip Mittal Shahram Rahimi I. Banicescu Maria Seale AAML 115 76 0 13 Jul 2022
The Mean Dimension of Neural Networks -- What causes the interaction effects? Roman Hahn Christoph Feinauer E. Borgonovo FAtt 48 2 0 11 Jul 2022
On Computing Relevant Features for Explaining NBCs Yacine Izza Sasha Rubin 97 5 0 11 Jul 2022
Local Multi-Label Explanations for Random Forest Nikolaos Mylonas Ioannis Mollas Nick Bassiliades Grigorios Tsoumakas FAtt 42 7 0 05 Jul 2022
"Even if ..." -- Diverse Semifactual Explanations of Reject André Artelt Barbara Hammer 73 12 0 05 Jul 2022
Comparing Feature Importance and Rule Extraction for Interpretability on Text Data Gianluigi Lopardo Damien Garreau FAtt 98 1 0 04 Jul 2022
A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data Magdalena Wysocka Oskar Wysocki Marie Zufferey Dónal Landers André Freitas AI4CE 121 28 0 02 Jul 2022
Explaining Any ML Model? -- On Goals and Capabilities of XAI Moritz Renftle Holger Trittenbach M. Poznic Reinhard Heil ELM 67 6 0 28 Jun 2022
RES: A Robust Framework for Guiding Visual Explanation Yuyang Gao Tong Sun Guangji Bai Siyi Gu S. Hong Liang Zhao FAtt AAML XAI 88 33 0 27 Jun 2022
Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions Zulqarnain Khan Davin Hill A. Masoomi Joshua Bone Jennifer Dy AAML 138 4 0 24 Jun 2022
OpenXAI: Towards a Transparent Evaluation of Model Explanations Chirag Agarwal Dan Ley Satyapriya Krishna Eshika Saxena Martin Pawelczyk Nari Johnson Isha Puri Marinka Zitnik Himabindu Lakkaraju XAI 136 147 0 22 Jun 2022
Connecting Algorithmic Research and Usage Contexts: A Perspective of Contextualized Evaluation for Explainable AI Q. V. Liao Yunfeng Zhang Ronny Luss Finale Doshi-Velez Amit Dhurandhar 147 83 0 22 Jun 2022
Stop ordering machine learning algorithms by their explainability! A user-centered investigation of performance and explainability L. Herm Kai Heinrich Jonas Wanner Christian Janiesch 38 88 0 20 Jun 2022
A Dynamic Data Driven Approach for Explainable Scene Understanding Z. Daniels Dimitris N. Metaxas FAtt 46 3 0 18 Jun 2022
Rectifying Mono-Label Boolean Classifiers S. Coste-Marquis Pierre Marquis 69 0 0 17 Jun 2022