Interpretable machine learning: definitions, methods, and applications

14 January 2019

Papers citing "Interpretable machine learning: definitions, methods, and applications"

50 / 329 papers shown

Title
Quantum Algorithms for the Pathwise Lasso J. F. Doriguello Debbie Lim Chi Seng Pun Patrick Rebentrost Tushar Vaidya 40 1 0 21 Dec 2023
SurvBeNIM: The Beran-Based Neural Importance Model for Explaining the Survival Models Lev V. Utkin Danila Eremenko A. Konstantinov 23 0 0 11 Dec 2023
GeoShapley: A Game Theory Approach to Measuring Spatial Effects in Machine Learning Models Ziqi Li FAtt 19 19 0 06 Dec 2023
Pruning-Based Extraction of Descriptions from Probabilistic Circuits Sieben Bocklandt Vincent Derkinderen Koen Vanderstraeten Wouter Pijpops Kurt Jaspers Wannes Meert 22 0 0 22 Nov 2023
Attribution and Alignment: Effects of Local Context Repetition on Utterance Production and Comprehension in Dialogue Aron Molnar Jaap Jumelet Mario Giulianelli Arabella J. Sinclair 30 2 0 21 Nov 2023
Designing Interpretable ML System to Enhance Trust in Healthcare: A Systematic Review to Proposed Responsible Clinician-AI-Collaboration Framework Elham Nasarian R. Alizadehsani U. Acharya Kwok-Leung Tsui 27 41 0 18 Nov 2023
Extracting human interpretable structure-property relationships in chemistry using XAI and large language models Geemi P Wellawatte Philippe Schwaller 19 5 0 07 Nov 2023
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions Luca Longo Mario Brcic Federico Cabitza Jaesik Choi Roberto Confalonieri ... Andrés Páez Wojciech Samek Johannes Schneider Timo Speith Simone Stumpf 29 189 0 30 Oct 2023
Sample based Explanations via Generalized Representers Che-Ping Tsai Chih-Kuan Yeh Pradeep Ravikumar FAtt 39 8 0 27 Oct 2023
PPFL: A Personalized Federated Learning Framework for Heterogeneous Population Hao Di Yi Yang Haishan Ye Xiangyu Chang FedML 30 2 0 22 Oct 2023
Automated Natural Language Explanation of Deep Visual Neurons with Large Models Chenxu Zhao Wei Qian Yucheng Shi Mengdi Huai Ninghao Liu 24 2 0 16 Oct 2023
Towards Fair and Calibrated Models Anand Brahmbhatt Vipul Rathore Mausam Parag Singla FaML 21 2 0 16 Oct 2023
Characterizing climate pathways using feature importance on echo state networks Katherine Goode Daniel Ries Kellie McClernon 19 3 0 12 Oct 2023
Neural Harmonium: An Interpretable Deep Structure for Nonlinear Dynamic System Identification with Application to Audio Processing Karim Helwani Erfan Soltanmohammadi Michael M. Goodwin 18 0 0 10 Oct 2023
Fair Feature Importance Scores for Interpreting Tree-Based Methods and Surrogates Camille Olivia Little Debolina Halder Lina Genevera I. Allen 25 1 0 06 Oct 2023
Improved prediction of ligand-protein binding affinities by meta-modeling Ho-Joon Lee Prashant S. Emani Mark B. Gerstein 23 0 0 05 Oct 2023
A Framework for Interpretability in Machine Learning for Medical Imaging Alan Q. Wang Batuhan K. Karaman Heejong Kim Jacob Rosenthal Rachit Saluja Sean I. Young M. Sabuncu AI4CE 17 10 0 02 Oct 2023
InvKA: Gait Recognition via Invertible Koopman Autoencoder Fan Li Dong Liang Jing Lian Qidong Liu Hegui Zhu Jizhao Liu CVBM 31 2 0 26 Sep 2023
Limits of Actor-Critic Algorithms for Decision Tree Policies Learning in IBMDPs Hector Kohler R. Akrour Philippe Preux OffRL 24 2 0 23 Sep 2023
Beyond XAI:Obstacles Towards Responsible AI Yulu Pi 34 2 0 07 Sep 2023
Consensus of state of the art mortality prediction models: From all-cause mortality to sudden death prediction Yola Jones F. Deligianni Jeffrey Stephen Dalton P. Pellicori John G. F. Cleland OOD 18 0 0 30 Aug 2023
Deciphering knee osteoarthritis diagnostic features with explainable artificial intelligence: A systematic review Yun Xin Teoh Alice Othmani Siew Li Goh Juliana Usman K. Lai 24 2 0 18 Aug 2023
Are We Closing the Loop Yet? Gaps in the Generalizability of VIS4ML Research Hariharan Subramonyam Jessica Hullman VLM HAI 27 8 0 10 Aug 2023
SurvBeX: An explanation method of the machine learning survival models based on the Beran estimator Lev V. Utkin Danila Eremenko A. Konstantinov 30 4 0 07 Aug 2023
$Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities$ Interpretable Machine Learning for Discovery: Statistical Challenges \& Opportunities Genevera I. Allen Luqin Gan Lili Zheng 30 9 0 02 Aug 2023
ForestMonkey: Toolkit for Reasoning with AI-based Defect Detection and Classification Models Jiajun Zhang Georgina Cosma S. L. Bugby Jason Watkins 19 1 0 25 Jul 2023
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions B. Bahmani H. S. Suh WaiChing Sun 23 17 0 24 Jul 2023
HOPE: High-order Polynomial Expansion of Black-box Neural Networks Tingxiong Xiao Weihang Zhang Yuxiao Cheng J. Suo 34 2 0 17 Jul 2023
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms Qi Liu Zhengze Gong Zhenya Huang Chuanren Liu Hengshu Zhu Zhi Li Enhong Chen Hui Xiong 32 0 0 14 Jul 2023
Improving Prototypical Visual Explanations with Reward Reweighing, Reselection, and Retraining Aaron J. Li Robin Netzorg Zhihan Cheng Zhuoqin Zhang Bin Yu 22 3 0 08 Jul 2023
MDI+: A Flexible Random Forest-Based Feature Importance Framework Abhineet Agarwal Ana M. Kenney Yan Shuo Tan Tiffany M. Tang Bin-Xia Yu 41 11 0 04 Jul 2023
Can predictive models be used for causal inference? Maximilian Pichler F. Hartig OOD CML 32 3 0 18 Jun 2023
Interpretable Multimodal Emotion Recognition using Facial Features and Physiological Signals Puneet Kumar Xiaobai Li 14 4 0 05 Jun 2023
SPINEX: Similarity-based Predictions and Explainable Neighbors Exploration for Regression and Classification Tasks in Machine Learning M. Z. Naser M. K. albashiti A. Naser 8 4 0 01 Jun 2023
Information Fusion via Symbolic Regression: A Tutorial in the Context of Human Health J. J. Schnur Nitesh V. Chawla 30 5 0 31 May 2023
Trainable and Explainable Simplicial Map Neural Networks Eduardo Paluzo-Hidalgo Miguel A. Gutiérrez-Naranjo Rocio Gonzalez-Diaz AAML 29 1 0 29 May 2023
Improving Stability in Decision Tree Models Dimitris Bertsimas V. Digalakis 28 5 0 26 May 2023
Multi-modal Machine Learning for Vehicle Rating Predictions Using Image, Text, and Parametric Data Hanqi Su Binyang Song Faez Ahmed 23 6 0 24 May 2023
eXplainable Artificial Intelligence on Medical Images: A Survey Matteus Vargas Simao da Silva Rodrigo Reis Arrais Jhessica Victoria Santos da Silva Felipe Souza Tanios Mateus A. Chinelatto ... Fabiana Cristina Queiroz de Oliveira Marucci Francisco Alves de Souza Neto Danilo Xavier Silva Vitor Yukio Kondo C. F. G. Santos MedIm XAI 23 1 0 12 May 2023
Impossibility of Depth Reduction in Explainable Clustering Cheng-Hao Deng Surya Teja Gavva S. KarthikC. Parth Patel Adarsh Srinivasan 23 1 0 04 May 2023
Calibrated Explanations: with Uncertainty Information and Counterfactuals Helena Lofstrom Tuwe Lofstrom Gregory Rice Cecilia Sonstrod 43 9 0 03 May 2023
Interpretability of Machine Learning: Recent Advances and Future Prospects Lei Gao L. Guan AAML 43 31 0 30 Apr 2023
Towards clinical AI fairness: A translational perspective Mingxuan Liu Yilin Ning Salinelat Teixayavong M. Mertens Jie Xu ... Ravi Chandran Narrendar Fei-Yue Wang Leo Anthony Celi M. Ong Nan Liu FaML 21 0 0 26 Apr 2023
Preemptively Pruning Clever-Hans Strategies in Deep Neural Networks Lorenz Linhardt Klaus-Robert Muller G. Montavon AAML 26 7 0 12 Apr 2023
Optimal Interpretability-Performance Trade-off of Classification Trees with Black-Box Reinforcement Learning Hector Kohler R. Akrour Philippe Preux OffRL 12 1 0 11 Apr 2023
Interpretable machine learning-accelerated seed treatment by nanomaterials for environmental stress alleviation Hengjie Yu D. Luo S. Li Maozhen Qu Dalin Liu Yingchao He Fang Cheng 18 3 0 08 Apr 2023
Machine Learning for Uncovering Biological Insights in Spatial Transcriptomics Data Alex J. Lee R. Cahill R. Abbasi-Asl 18 2 0 29 Mar 2023
Conjunction Data Messages for Space Collision Behave as a Poisson Process Francisco M. Caldas Cláudia Soares Cláudia Nunes Marta Guimarães 14 1 0 27 Mar 2023
Achieving Occam's Razor: Deep Learning for Optimal Model Reduction Botond B Antal Anthony G. Chesebro H. Strey Lilianne Mujica-Parodi Corey Weistuch 25 2 0 24 Mar 2023
Deep symbolic regression for physics guided by units constraints: toward the automated discovery of physical laws Wassim Tenachi Rodrigo Ibata F. Diakogiannis AI4CE 13 69 0 06 Mar 2023