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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
A Theoretical Framework for AI Models Explainability with Application in Biomedicine Matteo Rizzo Alberto Veneri A. Albarelli Claudio Lucchese Marco Nobile Cristina Conati XAI 83 9 0 29 Dec 2022
Multimodal Explainability via Latent Shift applied to COVID-19 stratification V. Guarrasi L. Tronchin Domenico Albano E. Faiella Deborah Fazzini D. Santucci Paolo Soda 77 24 0 28 Dec 2022
Explainable AI for Bioinformatics: Methods, Tools, and Applications Md. Rezaul Karim Tanhim Islam Oya Beyan Christoph Lange Michael Cochez Dietrich-Rebholz Schuhmann Stefan Decker 114 78 0 25 Dec 2022
$Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing$ Interpretability and causal discovery of the machine learning models to predict the production of CBM wells after hydraulic fracturing Chao Min Guo-quan Wen Liang Gou Xiaogang Li Zhaozhong Yang CML 41 12 0 21 Dec 2022
Context-dependent Explainability and Contestability for Trustworthy Medical Artificial Intelligence: Misclassification Identification of Morbidity Recognition Models in Preterm Infants Isil Guzey Ozlem Ucar N. A. Çiftdemir B. Acunaş 99 2 0 17 Dec 2022
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ Eoin Delaney A. Pakrashi Derek Greene Markt. Keane 79 17 0 16 Dec 2022
Interpretable models for extrapolation in scientific machine learning Eric S. Muckley J. Saal B. Meredig C. Roper James H. Martin 51 36 0 16 Dec 2022
Interpretable ML for Imbalanced Data Damien Dablain C. Bellinger Bartosz Krawczyk D. Aha Nitesh Chawla 76 1 0 15 Dec 2022
Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation Giorgio Morales John W. Sheppard 62 5 0 13 Dec 2022
On Computing Probabilistic Abductive Explanations Yacine Izza Xuanxiang Huang Alexey Ignatiev Nina Narodytska Martin C. Cooper Sasha Rubin FAtt XAI 111 20 0 12 Dec 2022
Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks Qihan Huang Mengqi Xue Wenqi Huang Haofei Zhang Mingli Song Yongcheng Jing Mingli Song AAML 74 28 0 12 Dec 2022
Causality-Aware Local Interpretable Model-Agnostic Explanations Martina Cinquini Riccardo Guidotti CML 80 1 0 10 Dec 2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 76 42 0 07 Dec 2022
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations Yuying Zhao Yu Wang Hanyu Wang FaML 88 16 0 07 Dec 2022
Truthful Meta-Explanations for Local Interpretability of Machine Learning Models Ioannis Mollas Nick Bassiliades Grigorios Tsoumakas 52 3 0 07 Dec 2022
Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare Rob Procter P. Tolmie M. Rouncefield 39 33 0 29 Nov 2022
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 67 21 0 27 Nov 2022
Testing the effectiveness of saliency-based explainability in NLP using randomized survey-based experiments Adel Rahimi Shaurya Jain FAtt 94 0 0 25 Nov 2022
EVNet: An Explainable Deep Network for Dimension Reduction Z. Zang Sheng-Hsien Cheng Linyan Lu Hanchen Xia Liangyu Li Yaoting Sun Yongjie Xu Lei Shang Baigui Sun Stan Z. Li FAtt 80 17 0 21 Nov 2022
Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models Gayda Mutahar Tim Miller FAtt 51 6 0 19 Nov 2022
Evaluating generative models in high energy physics Raghav Kansal Anni Li Javier Mauricio Duarte N. Chernyavskaya M. Pierini B. Orzari T. Tomei MedIm 71 36 0 18 Nov 2022
Explainability Via Causal Self-Talk Nicholas A. Roy Junkyung Kim Neil C. Rabinowitz CML 87 7 0 17 Nov 2022
Supervised Feature Compression based on Counterfactual Analysis V. Piccialli Dolores Romero Morales Cecilia Salvatore CML 49 2 0 17 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine Ahmad Chaddad Qizong Lu Jiali Li Y. Katib R. Kateb C. Tanougast Ahmed Bouridane Ahmed Abdulkadir OOD 72 38 0 17 Nov 2022
What Images are More Memorable to Machines? Junlin Han Huangying Zhan Jie Hong Pengfei Fang Hongdong Li L. Petersson Ian Reid 71 3 0 14 Nov 2022
Seamful XAI: Operationalizing Seamful Design in Explainable AI Upol Ehsan Q. V. Liao Samir Passi Mark O. Riedl Hal Daumé 91 23 0 12 Nov 2022
Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in Senegal Laura State Hadrien Salat S. Rubrichi Z. Smoreda 44 1 0 11 Nov 2022
REVEL Framework to measure Local Linear Explanations for black-box models: Deep Learning Image Classification case of study Iván Sevillano-García Julián Luengo-Martín Francisco Herrera XAI FAtt 51 9 0 11 Nov 2022
What Makes a Good Explanation?: A Harmonized View of Properties of Explanations Zixi Chen Varshini Subhash Marton Havasi Weiwei Pan Finale Doshi-Velez XAI FAtt 119 19 0 10 Nov 2022
Interpretable Explainability in Facial Emotion Recognition and Gamification for Data Collection Krist Shingjergji Deniz Iren Felix Böttger Corrie C. Urlings R. Klemke CVBM 57 3 0 09 Nov 2022
Analysis of a Deep Learning Model for 12-Lead ECG Classification Reveals Learned Features Similar to Diagnostic Criteria Theresa Bender J. Beinecke D. Krefting Carolin Müller Henning Dathe T. Seidler Nicolai Spicher Anne-Christin Hauschild FAtt 36 27 0 03 Nov 2022
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions Senthil Kumar Jagatheesaperumal Quoc-Viet Pham Rukhsana Ruby Zhaohui Yang Chunmei Xu Zhaoyang Zhang 96 56 0 02 Nov 2022
Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper Federico Sabbatini Roberta Calegari 49 2 0 01 Nov 2022
Clustering-Based Approaches for Symbolic Knowledge Extraction Federico Sabbatini Roberta Calegari 13 1 0 01 Nov 2022
Artificial intelligence in government: Concepts, standards, and a unified framework Vince J. Straub Deborah Morgan Jonathan Bright Helen Z. Margetts AI4TS 75 36 0 31 Oct 2022
Explaining the Explainers in Graph Neural Networks: a Comparative Study Antonio Longa Steve Azzolin G. Santin G. Cencetti Pietro Lio Bruno Lepri Andrea Passerini 107 31 0 27 Oct 2022
Secure and Trustworthy Artificial Intelligence-Extended Reality (AI-XR) for Metaverses Adnan Qayyum M. A. Butt Hassan Ali Muhammad Usman O. Halabi Ala I. Al-Fuqaha Q. Abbasi Muhammad Ali Imran Junaid Qadir 84 37 0 24 Oct 2022
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 137 40 0 24 Oct 2022
Explanation Shift: Detecting distribution shifts on tabular data via the explanation space Carlos Mougan Klaus Broelemann Gjergji Kasneci T. Tiropanis Steffen Staab FAtt 59 7 0 22 Oct 2022
Trustworthy Human Computation: A Survey H. Kashima S. Oyama Hiromi Arai Junichiro Mori 84 1 0 22 Oct 2022
A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges Mario Alfonso Prado-Romero Bardh Prenkaj Giovanni Stilo F. Giannotti CML 139 33 0 21 Oct 2022
Towards Human-centered Explainable AI: A Survey of User Studies for Model Explanations Yao Rong Tobias Leemann Thai-trang Nguyen Lisa Fiedler Peizhu Qian Vaibhav Unhelkar Tina Seidel Gjergji Kasneci Enkelejda Kasneci ELM 108 103 0 20 Oct 2022
Black Box Model Explanations and the Human Interpretability Expectations -- An Analysis in the Context of Homicide Prediction José Ribeiro Nikolas Carneiro Ronnie Cley de Oliveira Alves 52 0 0 19 Oct 2022
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling Kalpa Gunaratna Vijay Srinivasan Akhila Yerukola Hongxia Jin 64 7 0 19 Oct 2022
Explanations Based on Item Response Theory (eXirt): A Model-Specific Method to Explain Tree-Ensemble Model in Trust Perspective José de Sousa Ribeiro Filho Lucas F. F. Cardoso R. Silva Vitor Cirilo Araujo Santos Nikolas Carneiro Ronnie Cley de Oliveira Alves 47 4 0 18 Oct 2022
On the Impact of Temporal Concept Drift on Model Explanations Zhixue Zhao G. Chrysostomou Kalina Bontcheva Nikolaos Aletras 99 16 0 17 Oct 2022
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and Opportunities Andrea Tocchetti Lorenzo Corti Agathe Balayn Mireia Yurrita Philip Lippmann Marco Brambilla Jie Yang 84 14 0 17 Oct 2022
A Survey on Explainable Anomaly Detection Zhong Li Yuxuan Zhu M. Leeuwen 115 79 0 13 Oct 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 65 86 0 13 Oct 2022
On the Evaluation of the Plausibility and Faithfulness of Sentiment Analysis Explanations Julia El Zini Mohamad Mansour Basel Mousi M. Awad 64 8 0 13 Oct 2022