A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts

15 May 2021

Papers citing "A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts"

19 / 19 papers shown

Title
Evaluating Explanation Quality in X-IDS Using Feature Alignment Metrics Mohammed Alquliti Erisa Karafili BooJoong Kang XAI 14 0 0 12 May 2025
Explainable AI-Based Interface System for Weather Forecasting Model Soyeon Kim Junho Choi Yeji Choi Subeen Lee Artyom Stitsyuk Minkyoung Park Seongyeop Jeong Youhyun Baek Jaesik Choi XAI 46 2 0 01 Apr 2025
Improving the Weighting Strategy in KernelSHAP Lars Henry Berge Olsen Martin Jullum TDI FAtt 63 2 0 07 Oct 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 62 28 0 30 Aug 2024
Evaluating Human-AI Collaboration: A Review and Methodological Framework George Fragiadakis Christos Diou George Kousiouris Mara Nikolaidou 39 11 0 09 Jul 2024
From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma Christoph Wehner Chrysa Iliopoulou Ute Schmid Tarek R. Besold 50 0 0 03 Jun 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Rokas Gipiškis Chun-Wei Tsai Olga Kurasova 49 5 0 02 May 2024
Explainable Bayesian Optimization Tanmay Chakraborty Christin Seifert Christian Wirth 45 5 0 24 Jan 2024
Unpacking Human-AI interactions: From interaction primitives to a design space Konstantinos Tsiakas Dave Murray-Rust 19 3 0 10 Jan 2024
3VL: Using Trees to Improve Vision-Language Models' Interpretability Nir Yellinek Leonid Karlinsky Raja Giryes CoGe VLM 49 4 0 28 Dec 2023
Identifying Drivers of Predictive Aleatoric Uncertainty Pascal Iversen Simon Witzke Katharina Baum Bernhard Y. Renard UD 43 1 0 12 Dec 2023
Explaining with Attribute-based and Relational Near Misses: An Interpretable Approach to Distinguishing Facial Expressions of Pain and Disgust Bettina Finzel Simon Kuhn David E. Tafler Ute Schmid FAtt 10 1 0 27 Aug 2023
Automatic Textual Explanations of Concept Lattices Johannes Hirth Viktoria Horn Gerd Stumme Tom Hanika LRM 8 1 0 17 Apr 2023
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 14 17 0 10 Nov 2022
FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems Kacper Sokol Alexander Hepburn Rafael Poyiadzi M. Clifford Raúl Santos-Rodríguez Peter A. Flach 19 29 0 08 Sep 2022
What Do We Want From Explainable Artificial Intelligence (XAI)? -- A Stakeholder Perspective on XAI and a Conceptual Model Guiding Interdisciplinary XAI Research Markus Langer Daniel Oster Timo Speith Holger Hermanns Lena Kästner Eva Schmidt Andreas Sesing Kevin Baum XAI 43 411 0 15 Feb 2021
On Completeness-aware Concept-Based Explanations in Deep Neural Networks Chih-Kuan Yeh Been Kim Sercan Ö. Arik Chun-Liang Li Tomas Pfister Pradeep Ravikumar FAtt 120 293 0 17 Oct 2019
Logic Tensor Networks for Semantic Image Interpretation Ivan Donadello Luciano Serafini Artur Garcez 51 208 0 24 May 2017
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 225 3,658 0 28 Feb 2017