A Survey Of Methods For Explaining Black Box Models

6 February 2018

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

50 / 396 papers shown

Title
Interpretable Event Diagnosis in Water Distribution Networks André Artelt Stelios G. Vrachimis Demetrios G. Eliades Ulrike Kuhl Barbara Hammer Marios M. Polycarpou 36 0 0 12 May 2025
AI in Money Matters Nadine Sandjo Tchatchoua Richard Harper 31 0 0 12 May 2025
What Do People Want to Know About Artificial Intelligence (AI)? The Importance of Answering End-User Questions to Explain Autonomous Vehicle (AV) Decisions Somayeh Molaei Lionel P. Robert Nikola Banovic 26 0 0 09 May 2025
Robustness questions the interpretability of graph neural networks: what to do? Kirill Lukyanov Georgii Sazonov Serafim Boyarsky Ilya Makarov AAML 155 0 0 05 May 2025
Explanations as Bias Detectors: A Critical Study of Local Post-hoc XAI Methods for Fairness Exploration Vasiliki Papanikou Danae Pla Karidi E. Pitoura Emmanouil Panagiotou Eirini Ntoutsi 31 0 0 01 May 2025
In defence of post-hoc explanations in medical AI Joshua Hatherley Lauritz Munch Jens Christian Bjerring 32 0 0 29 Apr 2025
Mitigating Societal Cognitive Overload in the Age of AI: Challenges and Directions Salem Lahlou 60 0 0 28 Apr 2025
Selecting the Right LLM for eGov Explanations Lior Limonad Fabiana Fournier Hadar Mulian George Manias Spiros Borotis Danai Kyrkou 32 0 0 27 Apr 2025
Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable Optimization Hongshu Guo Wenjie Qiu Zeyuan Ma Xuzhi Zhang Jun Zhang Jiawei Liu 49 1 0 24 Apr 2025
Explanation-Driven Interventions for Artificial Intelligence Model Customization: Empowering End-Users to Tailor Black-Box AI in Rhinocytology Andrea Esposito Miriana Calvano Antonio Curci Francesco Greco R. Lanzilotti Antonio Piccinno 26 0 0 07 Apr 2025
Axiomatic Explainer Globalness via Optimal Transport Davin Hill Josh Bone A. Masoomi Max Torop Jennifer Dy 102 1 0 13 Mar 2025
A Frank System for Co-Evolutionary Hybrid Decision-Making Federico Mazzoni Riccardo Guidotti Alessio Malizia 38 2 0 08 Mar 2025
Explainable AI in Time-Sensitive Scenarios: Prefetched Offline Explanation Model Fabio Michele Russo C. Metta Anna Monreale S. Rinzivillo Fabio Pinelli 70 0 0 06 Mar 2025
Learning Covariance-Based Multi-Scale Representation of Neuroimaging Measures for Alzheimer Classification Seunghun Baek Injun Choi Mustafa Dere Minjeong Kim Guorong Wu Won Hwa Kim 76 3 0 03 Mar 2025
Large Language Models for Anomaly and Out-of-Distribution Detection: A Survey Ruiyao Xu Kaize Ding 60 5 0 17 Feb 2025
ExplainReduce: Summarising local explanations via proxies Lauri Seppäläinen Mudong Guo Kai Puolamäki FAtt 52 0 0 17 Feb 2025
Building Bridges, Not Walls -- Advancing Interpretability by Unifying Feature, Data, and Model Component Attribution Shichang Zhang Tessa Han Usha Bhalla Hima Lakkaraju FAtt 150 0 0 17 Feb 2025
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review Giovanni Ciatto Federico Sabbatini Andrea Agiollo Matteo Magnini Andrea Omicini 54 14 0 28 Jan 2025
DUEF-GA: Data Utility and Privacy Evaluation Framework for Graph Anonymization Jordi Casas-Roma 55 5 0 27 Jan 2025
Enhanced Suicidal Ideation Detection from Social Media Using a CNN-BiLSTM Hybrid Model Mohaiminul Islam Bhuiyan Nur Shazwani Binti Kamarudin Nur Hafieza Ismail 31 1 0 19 Jan 2025
AALF: Almost Always Linear Forecasting Matthias Jakobs Thomas Liebig AI4TS 84 0 0 17 Jan 2025
The explanation dialogues: an expert focus study to understand requirements towards explanations within the GDPR Laura State Alejandra Bringas Colmenarejo Andrea Beretta Salvatore Ruggieri Franco Turini Stephanie Law AILaw ELM 46 0 0 10 Jan 2025
Causal-discovery-based root-cause analysis and its application in time-series prediction error diagnosis Hiroshi Yokoyama Ryusei Shingaki Kaneharu Nishino Shohei Shimizu Thong Pham CML 80 0 0 11 Nov 2024
Interplay between Federated Learning and Explainable Artificial Intelligence: a Scoping Review Luis M. Lopez-Ramos Florian Leiser Aditya Rastogi Steven Hicks Inga Strümke V. Madai Tobias Budig Ali Sunyaev A. Hilbert 30 1 0 07 Nov 2024
GraphXAIN: Narratives to Explain Graph Neural Networks Mateusz Cedro David Martens 52 0 0 04 Nov 2024
Minder: Faulty Machine Detection for Large-scale Distributed Model Training Yangtao Deng Xiang Shi Zhuo Jiang X. Zhang Lei Zhang ... Fuliang Li Shuguang Wang H. Lin Jianxi Ye Minlan Yu LRM 142 2 0 04 Nov 2024
Isolated Causal Effects of Natural Language Victoria Lin Louis-Philippe Morency Eli Ben-Michael CML 36 1 0 18 Oct 2024
Explainable AI needs formal notions of explanation correctness Stefan Haufe Rick Wilming Benedict Clark Rustam Zhumagambetov Danny Panknin Ahcène Boubekki XAI 31 1 0 22 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers Asifullah Khan A. Sohail M. Fiaz Mehdi Hassan Tariq Habib Afridi ... Muhammad Zaigham Zaheer Kamran Ali Tangina Sultana Ziaurrehman Tanoli Naeem Akhter 45 3 0 30 Aug 2024
Explainable Artificial Intelligence: A Survey of Needs, Techniques, Applications, and Future Direction Melkamu Mersha Khang Lam Joseph Wood Ali AlShami Jugal Kalita XAI AI4TS 69 28 0 30 Aug 2024
Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit Qizhou Chen Taolin Zhang Chengyu Wang Xiaofeng He Dakan Wang Tingting Liu KELM 54 2 0 19 Aug 2024
Enhancing Variable Importance in Random Forests: A Novel Application of Global Sensitivity Analysis Giulia Vannucci Roberta Siciliano Andrea Saltelli FAtt 16 0 0 19 Jul 2024
Transformer Circuit Faithfulness Metrics are not Robust Joseph Miller Bilal Chughtai William Saunders 50 7 0 11 Jul 2024
Function Smoothing Regularization for Precision Factorization Machine Annealing in Continuous Variable Optimization Problems Katsuhiro Endo Kazuaki Z. Takahashi 23 1 0 05 Jul 2024
Laminator: Verifiable ML Property Cards using Hardware-assisted Attestations Vasisht Duddu Oskari Jarvinen Lachlan J. Gunn Nirmal Asokan 69 1 0 25 Jun 2024
CELL your Model: Contrastive Explanations for Large Language Models Ronny Luss Erik Miehling Amit Dhurandhar 47 0 0 17 Jun 2024
Explaining Predictions by Characteristic Rules Amr Alkhatib Henrik Bostrom Michalis Vazirgiannis 27 5 0 31 May 2024
Model Interpretation and Explainability: Towards Creating Transparency in Prediction Models D. Kridel Jacob Dineen Daniel R. Dolk David G. Castillo 21 4 0 31 May 2024
ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments Sören Schleibaum Lu Feng Sarit Kraus Jörg P. Müller 40 2 0 31 May 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning Hector Kohler Quentin Delfosse R. Akrour Kristian Kersting Philippe Preux 62 14 0 23 May 2024
Generalizing Weather Forecast to Fine-grained Temporal Scales via Physics-AI Hybrid Modeling Wanghan Xu Fenghua Ling Wenlong Zhang Tao Han Hao Chen Wanli Ouyang Lei Bai AI4CE 34 5 0 22 May 2024
Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation Yuang Zhao Zhaocheng Du Qinglin Jia Linxuan Zhang Zhenhua Dong Ruiming Tang 38 2 0 21 May 2024
Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction Anri Patron Ayush Prasad Hoang Phuc Hau Luu Kai Puolamaki 16 0 0 14 May 2024
Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification Matteo Bianchi Antonio De Santis Andrea Tocchetti Marco Brambilla MILM FAtt 32 1 0 06 May 2024
Fiper: a Visual-based Explanation Combining Rules and Feature Importance Eleonora Cappuccio D. Fadda Rosa Lanzilotti Salvatore Rinzivillo FAtt 33 1 0 25 Apr 2024
Procedural Fairness in Machine Learning Ziming Wang Changwu Huang Xin Yao FaML 44 0 0 02 Apr 2024
Segmentation, Classification and Interpretation of Breast Cancer Medical Images using Human-in-the-Loop Machine Learning David Vázquez-Lema E. Mosqueira-Rey Elena Hernández-Pereira Carlos Fernández-Lozano Fernando Seara-Romera Jorge Pombo-Otero LM&MA 34 1 0 29 Mar 2024
Learning To Guide Human Decision Makers With Vision-Language Models Debodeep Banerjee Stefano Teso Burcu Sayin Andrea Passerini 37 1 0 25 Mar 2024
InfFeed: Influence Functions as a Feedback to Improve the Performance of Subjective Tasks Somnath Banerjee Maulindu Sarkar Punyajoy Saha Binny Mathew Animesh Mukherjee TDI 34 0 0 22 Feb 2024
On Explaining Unfairness: An Overview Christos Fragkathoulas Vasiliki Papanikou Danae Pla Karidi E. Pitoura XAI FaML 19 2 0 16 Feb 2024