Explaining Models by Propagating Shapley Values of Local Components

27 November 2019

Papers citing "Explaining Models by Propagating Shapley Values of Local Components"

22 / 22 papers shown

Title
Understanding molecular ratios in the carbon and oxygen poor outer Milky Way with interpretable machine learning Gijs Vermariën Serena Viti Johannes Heyl Francesco Fontani 39 0 0 13 May 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 143 2 0 14 Feb 2025
Accurate Explanation Model for Image Classifiers using Class Association Embedding Ruitao Xie Jingbang Chen Limai Jiang Rui Xiao Yi-Lun Pan Yunpeng Cai 242 5 0 31 Dec 2024
Explainable AI for Autism Diagnosis: Identifying Critical Brain Regions Using fMRI Data Suryansh Vidya Kush Gupta Amir Aly Andy Wills Emmanuel Ifeachor Rohit Shankar 134 1 0 19 Sep 2024
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients Evandro S. Ortigossa Fábio F. Dias Brian Barr Claudio T. Silva L. G. Nonato FAtt 167 3 0 25 Apr 2024
A New Baseline Assumption of Integated Gradients Based on Shaply value Shuyang Liu Zixuan Chen Ge Shi Ji Wang Changjie Fan Yu Xiong Runze Wu Yujing Hu Ze Ji Yang Gao 59 3 0 07 Oct 2023
On marginal feature attributions of tree-based models Khashayar Filom A. Miroshnikov Konstandinos Kotsiopoulos Arjun Ravi Kannan FAtt 76 3 0 16 Feb 2023
A $k$ -additive Choquet integral-based approach to approximate the SHAP values for local interpretability in machine learning G. D. Pelegrina L. Duarte M. Grabisch FAtt TDI 76 31 0 03 Nov 2022
Psychophysiological Arousal in Young Children Who Stutter: An Interpretable AI Approach Harshit Sharma Yi Xiao V. Tumanova Asif Salekin 56 7 0 03 Aug 2022
Explainable Artificial Intelligence (XAI) for Internet of Things: A Survey İbrahim Kök Feyza Yıldırım Okay Özgecan Muyanlı S. Özdemir XAI 74 55 0 07 Jun 2022
Novel Multicolumn Kernel Extreme Learning Machine for Food Detection via Optimal Features from CNN G. Tahir Tahir Chu 54 2 0 15 May 2022
HINT: Hierarchical Neuron Concept Explainer Andong Wang Wei-Ning Lee Xiaojuan Qi 64 19 0 27 Mar 2022
Satellite Image and Machine Learning based Knowledge Extraction in the Poverty and Welfare Domain Ola Hall Mattias Ohlsson Thortseinn Rögnvaldsson 52 8 0 02 Mar 2022
Towards Zero-shot Sign Language Recognition Yunus Can Bilge R. G. Cinbis Nazli Ikizler-Cinbis SLR 56 36 0 15 Jan 2022
Explaining a Series of Models by Propagating Shapley Values Hugh Chen Scott M. Lundberg Su-In Lee TDI FAtt 98 139 0 30 Apr 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 141 505 0 03 Feb 2021
Uncertainty aware and explainable diagnosis of retinal disease Amitojdeep Singh S. Sengupta M. Rasheed Varadharajan Jayakumar Vasudevan Lakshminarayanan BDL 53 21 0 26 Jan 2021
GANMEX: One-vs-One Attributions Guided by GAN-based Counterfactual Explanation Baselines Sheng-Min Shih Pin-Ju Tien Zohar Karnin FAtt 86 14 0 11 Nov 2020
Explainable Deep Reinforcement Learning for UAV Autonomous Navigation Lei He Nabil Aouf Bifeng Song 58 11 0 30 Sep 2020
Quantitative and Qualitative Evaluation of Explainable Deep Learning Methods for Ophthalmic Diagnosis Amitojdeep Singh J. Balaji M. Rasheed Varadharajan Jayakumar R. Raman Vasudevan Lakshminarayanan BDL XAI FAtt 57 29 0 26 Sep 2020
Explainable deep learning models in medical image analysis Amitojdeep Singh S. Sengupta Vasudevan Lakshminarayanan XAI 102 502 0 28 May 2020
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 267 6,386 0 22 Oct 2019