Local Rule-Based Explanations of Black Box Decision Systems

28 May 2018

Papers citing "Local Rule-Based Explanations of Black Box Decision Systems"

50 / 192 papers shown

Title
Explainable AI the Latest Advancements and New Trends Bowen Long Enjie Liu Renxi Qiu Yanqing Duan XAI 33 0 0 11 May 2025
Which LIME should I trust? Concepts, Challenges, and Solutions Patrick Knab Sascha Marton Udo Schlegel Christian Bartelt FAtt 38 0 0 31 Mar 2025
Ranking Counterfactual Explanations Suryani Lim H. Prade G. Richard CML 65 0 0 20 Mar 2025
Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model Fabio Michele Russo C. Metta Anna Monreale S. Rinzivillo Fabio Pinelli 68 0 0 06 Mar 2025
Accelerating Anchors via Specialization and Feature Transformation Haonan Yu Junhao Liu Xin Zhang 44 0 0 16 Feb 2025
Recent Advances in Malware Detection: Graph Learning and Explainability Hossein Shokouhinejad Roozbeh Razavi-Far Hesamodin Mohammadian Mahdi Rabbani Samuel Ansong Griffin Higgins Ali Ghorbani AAML 70 2 0 14 Feb 2025
Graph Counterfactual Explainable AI via Latent Space Traversal Andreas Abildtrup Hansen Paraskevas Pegios Anna Calissano Aasa Feragen OOD BDL AAML 83 0 0 15 Jan 2025
Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning Numair Sani Daniel Malinsky I. Shpitser CML 76 15 0 10 Jan 2025
The Explabox: Model-Agnostic Machine Learning Transparency & Analysis Marcel Robeer Michiel Bron Elize Herrewijnen Riwish Hoeseni Floris Bex 67 0 0 22 Nov 2024
Counterfactual Explanations via Riemannian Latent Space Traversal Paraskevas Pegios Aasa Feragen Andreas Abildtrup Hansen Georgios Arvanitidis BDL 42 1 0 04 Nov 2024
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation Peiyu Li O. Bahri Pouya Hosseinzadeh S. F. Boubrahimi S. M. Hamdi CML LRM 27 1 0 27 Oct 2024
SSET: Swapping-Sliding Explanation for Time Series Classifiers in Affect Detection Nazanin Fouladgar Marjan Alirezaie Kary Främling AI4TS FAtt 16 0 0 16 Oct 2024
ConLUX: Concept-Based Local Unified Explanations Junhao Liu Haonan Yu Xin Zhang FAtt LRM 33 0 0 16 Oct 2024
Advancing Interactive Explainable AI via Belief Change Theory Antonio Rago Maria Vanina Martinez 21 0 0 13 Aug 2024
Interpreting Global Perturbation Robustness of Image Models using Axiomatic Spectral Importance Decomposition Róisín Luo James McDermott C. O'Riordan AAML 32 0 0 02 Aug 2024
A survey and taxonomy of methods interpreting random forest models Maissae Haddouchi A. Berrado 40 2 0 17 Jul 2024
Semantically Rich Local Dataset Generation for Explainable AI in Genomics Pedro Barbosa Rosina Savisaar Alcides Fonseca 14 0 0 03 Jul 2024
Evolutionary Computation and Explainable AI: A Roadmap to Transparent Intelligent Systems Ryan Zhou Jaume Bacardit Alexander Brownlee Stefano Cagnoni Martin Fyvie Giovanni Iacca John Mccall N. V. Stein David Walker Ting-Kuei Hu 39 0 0 12 Jun 2024
DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation Yinjun Wu Mayank Keoliya Kan Chen Neelay Velingker Ziyang Li E. Getzen Qi Long Mayur Naik Ravi B. Parikh Eric Wong 32 1 0 02 Jun 2024
Trustworthy Actionable Perturbations Jesse Friedbaum S. Adiga Ravi Tandon AAML 38 2 0 18 May 2024
Debiasing Machine Unlearning with Counterfactual Examples Ziheng Chen Jia Wang Jun Zhuang Abbavaram Gowtham Reddy Fabrizio Silvestri Jin Huang Kaushiki Nag Kun Kuang Xin Ning Gabriele Tolomei MU CML 35 3 0 24 Apr 2024
Machine Learning Robustness: A Primer Houssem Ben Braiek Foutse Khomh AAML OOD 34 5 0 01 Apr 2024
Forest-ORE: Mining Optimal Rule Ensemble to interpret Random Forest models Haddouchi Maissae Berrado Abdelaziz 25 0 0 26 Mar 2024
DTOR: Decision Tree Outlier Regressor to explain anomalies Riccardo Crupi D. Regoli Alessandro Sabatino Immacolata Marano Massimiliano Brinis Luca Albertazzi Andrea Cirillo A. Cosentini 23 1 0 16 Mar 2024
Gradient based Feature Attribution in Explainable AI: A Technical Review Yongjie Wang Tong Zhang Xu Guo Zhiqi Shen XAI 19 18 0 15 Mar 2024
AttnLRP: Attention-Aware Layer-Wise Relevance Propagation for Transformers Reduan Achtibat Sayed Mohammad Vakilzadeh Hatefi Maximilian Dreyer Aakriti Jain Thomas Wiegand Sebastian Lapuschkin Wojciech Samek 28 24 0 08 Feb 2024
XAI-CF -- Examining the Role of Explainable Artificial Intelligence in Cyber Forensics Shahid Alam Zeynep Altıparmak 16 1 0 04 Feb 2024
Concept-based Explainable Artificial Intelligence: A Survey Eleonora Poeta Gabriele Ciravegna Eliana Pastor Tania Cerquitelli Elena Baralis LRM XAI 21 41 0 20 Dec 2023
Rule-Extraction Methods From Feedforward Neural Networks: A Systematic Literature Review Sara El Mekkaoui L. Benabbou A. Berrado 12 0 0 20 Dec 2023
Generating Explanations to Understand and Repair Embedding-based Entity Alignment Xiaobin Tian Zequn Sun Wei Hu 24 6 0 08 Dec 2023
Survey on AI Ethics: A Socio-technical Perspective Dave Mbiazi Meghana Bhange Maryam Babaei Ivaxi Sheth Patrik Joslin Kenfack 20 4 0 28 Nov 2023
XAI for time-series classification leveraging image highlight methods Georgios Makridis G. Fatouros Vasileios Koukos Dimitrios Kotios D. Kyriazis Ioannis Soldatos AI4TS 28 1 0 28 Nov 2023
Faithful and Robust Local Interpretability for Textual Predictions Gianluigi Lopardo F. Precioso Damien Garreau OOD 26 4 0 30 Oct 2023
Local Universal Explainer (LUX) -- a rule-based explainer with factual, counterfactual and visual explanations Szymon Bobek Grzegorz J. Nalepa 13 0 0 23 Oct 2023
The Thousand Faces of Explainable AI Along the Machine Learning Life Cycle: Industrial Reality and Current State of Research Thomas Decker Ralf Gross Alexander Koebler Michael Lebacher Ronald Schnitzer Stefan H. Weber 33 2 0 11 Oct 2023
Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis Anahid N. Jalali Bernhard Haslhofer Simone Kriglstein Andreas Rauber FAtt 24 4 0 21 Sep 2023
Learning Concise and Descriptive Attributes for Visual Recognition Andy Yan Yu-Xiang Wang Yiwu Zhong Chengyu Dong Zexue He Yujie Lu William Wang Jingbo Shang Julian McAuley VLM 19 60 0 07 Aug 2023
Assessing Systematic Weaknesses of DNNs using Counterfactuals Sujan Sai Gannamaneni Michael Mock Maram Akila AAML 30 1 0 03 Aug 2023
SAFE: Saliency-Aware Counterfactual Explanations for DNN-based Automated Driving Systems Amir Samadi A. Shirian K. Koufos Kurt Debattista M. Dianati AAML FAtt LRM 23 8 0 28 Jul 2023
Evolutionary approaches to explainable machine learning Ryan Zhou Ting-Kuei Hu 33 7 0 23 Jun 2023
Explainable AI for Malnutrition Risk Prediction from m-Health and Clinical Data Flavio Di Martino Franca Delmastro C. Dolciotti 13 9 0 31 May 2023
Visual Knowledge Discovery with General Line Coordinates Lincoln Huber Boris Kovalerchuk Charles Recaido 18 7 0 28 May 2023
Counterfactual Explainer Framework for Deep Reinforcement Learning Models Using Policy Distillation Amir Samadi K. Koufos Kurt Debattista M. Dianati OffRL 32 3 0 25 May 2023
BELLA: Black box model Explanations by Local Linear Approximations N. Radulovic Albert Bifet Fabian M. Suchanek FAtt 34 1 0 18 May 2023
Calibrated Explanations: with Uncertainty Information and Counterfactuals Helena Lofstrom Tuwe Lofstrom Gregory Rice Cecilia Sonstrod 38 9 0 03 May 2023
Categorical Foundations of Explainable AI: A Unifying Theory Pietro Barbiero S. Fioravanti Francesco Giannini Alberto Tonda Pietro Lio' Elena Di Lavore XAI 19 2 0 27 Apr 2023
counterfactuals: An R Package for Counterfactual Explanation Methods Susanne Dandl Andreas Hofheinz Martin Binder B. Bischl Giuseppe Casalicchio 26 2 0 13 Apr 2023
Local Interpretability of Random Forests for Multi-Target Regression Avraam Bardos Nikolaos Mylonas Ioannis Mollas Grigorios Tsoumakas AAML 19 2 0 29 Mar 2023
XAIR: A Framework of Explainable AI in Augmented Reality Xuhai Xu Anna Yu Tanya R. Jonker Kashyap Todi Feiyu Lu ... Narine Kokhlikyan Fulton Wang P. Sorenson Sophie Kahyun Kim Hrvoje Benko 31 49 0 28 Mar 2023
Explaining Groups of Instances Counterfactually for XAI: A Use Case, Algorithm and User Study for Group-Counterfactuals Greta Warren Markt. Keane Christophe Guéret Eoin Delaney 26 13 0 16 Mar 2023