Explainable Neural Networks based on Additive Index Models

5 June 2018

Papers citing "Explainable Neural Networks based on Additive Index Models"

30 / 30 papers shown

Title
An AI Architecture with the Capability to Explain Recognition Results Paul Whitten Francis Wolff Chris Papachristou XAI 32 1 0 13 Jun 2024
Does a Neural Network Really Encode Symbolic Concepts? Mingjie Li Quanshi Zhang 98 31 0 25 Feb 2023
On marginal feature attributions of tree-based models Khashayar Filom A. Miroshnikov Konstandinos Kotsiopoulos Arjun Ravi Kannan FAtt 65 3 0 16 Feb 2023
On the explainability of quantum neural networks based on variational quantum circuits Ammar Daskin MLT FAtt 74 2 0 12 Jan 2023
Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning Danial Dervovic Nicolas Marchesotti Freddy Lecue Daniele Magazzeni 69 0 0 11 Nov 2022
Deep Explainable Learning with Graph Based Data Assessing and Rule Reasoning Yuanlong Li Gaopan Huang Min Zhou Chuan Fu Honglin Qiao Yan He 71 1 0 09 Nov 2022
A Survey of Neural Trees Haoling Li Mingli Song Mengqi Xue Haofei Zhang Jingwen Ye Lechao Cheng Mingli Song AI4CE 104 6 0 07 Sep 2022
Using Model-Based Trees with Boosting to Fit Low-Order Functional ANOVA Models Linwei Hu Jie Chen V. Nair 77 3 0 14 Jul 2022
GAM(e) changer or not? An evaluation of interpretable machine learning models based on additive model constraints Patrick Zschech Sven Weinzierl Nico Hambauer Sandra Zilker Mathias Kraus 151 14 0 19 Apr 2022
Semantic interpretation for convolutional neural networks: What makes a cat a cat? Haonan Xu Yuntian Chen Dongxiao Zhang FAtt 61 3 0 16 Apr 2022
LocalGLMnet: interpretable deep learning for tabular data Ronald Richman M. Wüthrich LMTD FAtt 72 32 0 23 Jul 2021
Bias, Fairness, and Accountability with AI and ML Algorithms Neng-Zhi Zhou Zach Zhang V. Nair Harsh Singhal Jie Chen Agus Sudjianto FaML 123 9 0 13 May 2021
Neural Networks and Denotation E. Allen 39 0 0 15 Mar 2021
How can I choose an explainer? An Application-grounded Evaluation of Post-hoc Explanations Sérgio Jesus Catarina Belém Vladimir Balayan João Bento Pedro Saleiro P. Bizarro João Gama 208 121 0 21 Jan 2021
Towards interpreting ML-based automated malware detection models: a survey Yuzhou Lin Xiaolin Chang 124 7 0 15 Jan 2021
A Comprehensive Survey of Machine Learning Applied to Radar Signal Processing Ping Lang Xiongjun Fu M. Martorella Jian Dong Rui Qin Xianpeng Meng M. Xie 41 42 0 29 Sep 2020
The role of explainability in creating trustworthy artificial intelligence for health care: a comprehensive survey of the terminology, design choices, and evaluation strategies A. Markus J. Kors P. Rijnbeek 91 471 0 31 Jul 2020
Surrogate Locally-Interpretable Models with Supervised Machine Learning Algorithms Linwei Hu Jie Chen V. Nair Agus Sudjianto 38 15 0 28 Jul 2020
GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions Zebin Yang Aijun Zhang Agus Sudjianto FAtt 170 130 0 16 Mar 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 94 317 0 08 Jan 2020
Explainable Ordinal Factorization Model: Deciphering the Effects of Attributes by Piece-wise Linear Approximation Mengzhuo Guo Zhongzhi Xu Qingpeng Zhang Xiuwu Liao Jiapeng Liu 28 0 0 14 Nov 2019
Proposed Guidelines for the Responsible Use of Explainable Machine Learning Patrick Hall Navdeep Gill N. Schmidt SILM XAI FaML 77 29 0 08 Jun 2019
Enhancing Explainability of Neural Networks through Architecture Constraints Zebin Yang Aijun Zhang Agus Sudjianto AAML 52 87 0 12 Jan 2019
Interpretable CNNs for Object Classification Quanshi Zhang Xin Eric Wang Ying Nian Wu Huilin Zhou Song-Chun Zhu 61 54 0 08 Jan 2019
Explaining AlphaGo: Interpreting Contextual Effects in Neural Networks Zenan Ling Haotian Ma Yu Yang Robert C. Qiu Song-Chun Zhu Quanshi Zhang MILM 33 3 0 08 Jan 2019
Explanatory Graphs for CNNs Quanshi Zhang Xin Eric Wang Ruiming Cao Ying Nian Wu Feng Shi Song-Chun Zhu FAtt GNN 44 3 0 18 Dec 2018
Explaining Neural Networks Semantically and Quantitatively Runjin Chen Hao Chen Ge Huang Jie Ren Quanshi Zhang FAtt 62 56 0 18 Dec 2018
On the Art and Science of Machine Learning Explanations Patrick Hall FAtt XAI 92 30 0 05 Oct 2018
Model Interpretation: A Unified Derivative-based Framework for Nonparametric Regression and Supervised Machine Learning Xiaoyu Liu Jie Chen Joel Vaughan V. Nair Agus Sudjianto FAtt 45 11 0 22 Aug 2018
Interpreting CNNs via Decision Trees Quanshi Zhang Yu Yang Ying Nian Wu Song-Chun Zhu FAtt 104 323 0 01 Feb 2018