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
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience Q. V. Liao Hariharan Subramonyam Jennifer Wang Jennifer Wortman Vaughan HAI 33 58 0 21 Feb 2023
Why is the prediction wrong? Towards underfitting case explanation via meta-classification Sheng Zhou P. Blanchart M. Crucianu Marin Ferecatu 11 1 0 20 Feb 2023
Less is More: The Influence of Pruning on the Explainability of CNNs David Weber F. Merkle Pascal Schöttle Stephan Schlögl Martin Nocker FAtt 34 1 0 17 Feb 2023
Explaining text classifiers through progressive neighborhood approximation with realistic samples Yi Cai Arthur Zimek Eirini Ntoutsi Gerhard Wunder AI4TS 22 0 0 11 Feb 2023
Mind the Gap! Bridging Explainable Artificial Intelligence and Human Understanding with Luhmann's Functional Theory of Communication B. Keenan Kacper Sokol 21 7 0 07 Feb 2023
Personalized Interpretable Classification Zengyou He Yifan Tang Yifan Tang Lianyu Hu Yan Liu Yan Liu 25 0 0 06 Feb 2023
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI Upol Ehsan Koustuv Saha M. D. Choudhury Mark O. Riedl 23 57 0 01 Feb 2023
Explainable Deep Reinforcement Learning: State of the Art and Challenges G. Vouros XAI 50 76 0 24 Jan 2023
Interpretability in Activation Space Analysis of Transformers: A Focused Survey Soniya Vijayakumar AI4CE 35 3 0 22 Jan 2023
Towards Rigorous Understanding of Neural Networks via Semantics-preserving Transformations Maximilian Schlüter Gerrit Nolte Alnis Murtovi Bernhard Steffen 29 6 0 19 Jan 2023
Exemplars and Counterexemplars Explanations for Image Classifiers, Targeting Skin Lesion Labeling C. Metta Riccardo Guidotti Yuan Yin Patrick Gallinari S. Rinzivillo MedIm 25 11 0 18 Jan 2023
Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery Martina Cinquini F. Giannotti Riccardo Guidotti 32 10 0 18 Jan 2023
Understanding the Role of Human Intuition on Reliance in Human-AI Decision-Making with Explanations Valerie Chen Q. V. Liao Jennifer Wortman Vaughan Gagan Bansal 44 104 0 18 Jan 2023
Opti-CAM: Optimizing saliency maps for interpretability Hanwei Zhang Felipe Torres R. Sicre Yannis Avrithis Stéphane Ayache 36 22 0 17 Jan 2023
Mapping Knowledge Representations to Concepts: A Review and New Perspectives Lars Holmberg P. Davidsson Per Linde 34 1 0 31 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 24 22 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 29 68 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 13 10 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 23 1 0 17 Dec 2022
Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ Eoin Delaney A. Pakrashi Derek Greene Markt. Keane 35 15 0 16 Dec 2022
Interpretable models for extrapolation in scientific machine learning Eric S. Muckley J. Saal B. Meredig C. Roper James H. Martin 21 34 0 16 Dec 2022
Interpretable ML for Imbalanced Data Damien Dablain C. Bellinger Bartosz Krawczyk D. Aha Nitesh V. Chawla 24 1 0 15 Dec 2022
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning Yuyang Gao Siyi Gu Junji Jiang S. Hong Dazhou Yu Liang Zhao 29 39 0 07 Dec 2022
Fairness and Explainability: Bridging the Gap Towards Fair Model Explanations Yuying Zhao Yu-Chiang Frank Wang Tyler Derr FaML 33 13 0 07 Dec 2022
Truthful Meta-Explanations for Local Interpretability of Machine Learning Models Ioannis Mollas Nick Bassiliades Grigorios Tsoumakas 18 3 0 07 Dec 2022
Holding AI to Account: Challenges for the Delivery of Trustworthy AI in Healthcare Rob Procter P. Tolmie M. Rouncefield 11 31 0 29 Nov 2022
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 32 18 0 27 Nov 2022
Testing the effectiveness of saliency-based explainability in NLP using randomized survey-based experiments Adel Rahimi Shaurya Jain FAtt 13 0 0 25 Nov 2022
Concept-based Explanations using Non-negative Concept Activation Vectors and Decision Tree for CNN Models Gayda Mutahar Tim Miller FAtt 26 6 0 19 Nov 2022
Supervised Feature Compression based on Counterfactual Analysis V. Piccialli Dolores Romero Morales Cecilia Salvatore CML 32 2 0 17 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine A. Chaddad Qizong Lu Jiali Li Y. Katib R. Kateb C. Tanougast Ahmed Bouridane Ahmed Abdulkadir OOD 24 38 0 17 Nov 2022
Explainability in Practice: Estimating Electrification Rates from Mobile Phone Data in Senegal Laura State Hadrien Salat S. Rubrichi Z. Smoreda 18 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 21 7 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 33 18 0 10 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 16 25 0 03 Nov 2022
Evaluation Metrics for Symbolic Knowledge Extracted from Machine Learning Black Boxes: A Discussion Paper Federico Sabbatini Roberta Calegari 14 1 0 01 Nov 2022
Clustering-Based Approaches for Symbolic Knowledge Extraction Federico Sabbatini Roberta Calegari 6 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 32 31 0 31 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 30 32 0 24 Oct 2022
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 50 39 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 27 7 0 22 Oct 2022
Explainable Slot Type Attentions to Improve Joint Intent Detection and Slot Filling Kalpa Gunaratna Vijay Srinivasan Akhila Yerukola Hongxia Jin 29 6 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 18 4 0 18 Oct 2022
On the Explainability of Natural Language Processing Deep Models Julia El Zini M. Awad 29 82 0 13 Oct 2022
Causal Proxy Models for Concept-Based Model Explanations Zhengxuan Wu Karel DÓosterlinck Atticus Geiger Amir Zur Christopher Potts MILM 80 35 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 32 29 0 26 Sep 2022
Explanations, Fairness, and Appropriate Reliance in Human-AI Decision-Making Jakob Schoeffer Maria De-Arteaga Niklas Kuehl FaML 45 46 0 23 Sep 2022
The Ability of Image-Language Explainable Models to Resemble Domain Expertise P. Werner Anna Zapaishchykova Ujjwal Ratan 48 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 29 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 34 1 0 19 Sep 2022