Interpretable machine learning: definitions, methods, and applications

14 January 2019

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

50 / 329 papers shown

Title
Explainable artificial intelligence (XAI) in deep learning-based medical image analysis Bas H. M. van der Velden Hugo J. Kuijf K. Gilhuijs M. Viergever XAI 29 636 0 22 Jul 2021
Adaptive wavelet distillation from neural networks through interpretations Wooseok Ha Chandan Singh F. Lanusse S. Upadhyayula Bin-Xia Yu 14 40 0 19 Jul 2021
Nearly-Tight and Oblivious Algorithms for Explainable Clustering Buddhima Gamlath Xinrui Jia Adam Polak O. Svensson 23 23 0 30 Jun 2021
Near-Optimal Explainable $k$ -Means for All Dimensions Moses Charikar Lunjia Hu 28 18 0 29 Jun 2021
Machine learning in the social and health sciences A. Leist Matthias Klee Jung Hyun Kim D. Rehkopf Stéphane P. A. Bordas Graciela Muniz-Terrera Sara Wade AI4CE 31 4 0 20 Jun 2021
Rational Shapley Values David S. Watson 23 20 0 18 Jun 2021
Multi-Modal Prototype Learning for Interpretable Multivariable Time Series Classification Gaurav R. Ghosal R. Abbasi-Asl AI4TS 9 7 0 17 Jun 2021
Neural Networks for Partially Linear Quantile Regression Qixian Zhong Jane-ling Wang 13 13 0 11 Jun 2021
Exploiting auto-encoders and segmentation methods for middle-level explanations of image classification systems Andrea Apicella Salvatore Giugliano Francesco Isgrò R. Prevete 6 18 0 09 Jun 2021
Understanding Neural Code Intelligence Through Program Simplification Md Rafiqul Islam Rabin Vincent J. Hellendoorn Mohammad Amin Alipour AAML 49 58 0 07 Jun 2021
To trust or not to trust an explanation: using LEAF to evaluate local linear XAI methods E. Amparore Alan Perotti P. Bajardi FAtt 17 68 0 01 Jun 2021
Towards Transparent Application of Machine Learning in Video Processing L. Murn Marc Górriz Blanch M. Santamaría F. Rivera M. Mrak 15 1 0 26 May 2021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts Gesina Schwalbe Bettina Finzel XAI 29 184 0 15 May 2021
Conjunction Data Messages behave as a Poisson Process Francisco M. Caldas Cláudia Soares Cláudia Nunes Marta Guimarães Mariana Filipe R. Ventura 14 1 0 14 May 2021
Robust Sample Weighting to Facilitate Individualized Treatment Rule Learning for a Target Population Rui Chen J. Huling Guanhua Chen Menggang Yu CML 8 1 0 03 May 2021
Explaining a Series of Models by Propagating Shapley Values Hugh Chen Scott M. Lundberg Su-In Lee TDI FAtt 22 123 0 30 Apr 2021
What Makes a Scientific Paper be Accepted for Publication? Panagiotis Fytas Georgios Rizos Lucia Specia 16 10 0 14 Apr 2021
Transforming Feature Space to Interpret Machine Learning Models A. Brenning FAtt 42 9 0 09 Apr 2021
Robust Semantic Interpretability: Revisiting Concept Activation Vectors J. Pfau A. Young Jerome Wei Maria L. Wei Michael J. Keiser FAtt 31 14 0 06 Apr 2021
Local Explanations via Necessity and Sufficiency: Unifying Theory and Practice David S. Watson Limor Gultchin Ankur Taly Luciano Floridi 20 62 0 27 Mar 2021
Local Interpretations for Explainable Natural Language Processing: A Survey Siwen Luo Hamish Ivison S. Han Josiah Poon MILM 33 48 0 20 Mar 2021
Interpretable Deep Learning: Interpretation, Interpretability, Trustworthiness, and Beyond Xuhong Li Haoyi Xiong Xingjian Li Xuanyu Wu Xiao Zhang Ji Liu Jiang Bian Dejing Dou AAML FaML XAI HAI 23 317 0 19 Mar 2021
Towards an Open Global Air Quality Monitoring Platform to Assess Children's Exposure to Air Pollutants in the Light of COVID-19 Lockdowns Christina Last Prithviraj Pramanik N. Saini Akash Majety Do-Hyung Kim M. García-Herranz S. Majumdar 8 1 0 17 Mar 2021
A new interpretable unsupervised anomaly detection method based on residual explanation David F. N. Oliveira L. Vismari A. M. Nascimento J. R. de Almeida P. Cugnasca J. Camargo L. Almeida Rafael Gripp Marcelo M. Neves AAML 11 17 0 14 Mar 2021
Interpretable Machine Learning: Moving From Mythos to Diagnostics Valerie Chen Jeffrey Li Joon Sik Kim Gregory Plumb Ameet Talwalkar 32 29 0 10 Mar 2021
Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications Yu-Liang Chou Catarina Moreira P. Bruza Chun Ouyang Joaquim A. Jorge CML 47 176 0 07 Mar 2021
Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG Arshdeep Sekhon Zhe Wang Yanjun Qi GNN 13 0 0 03 Mar 2021
Predicting Driver Fatigue in Automated Driving with Explainability Feng Zhou Areen Alsaid Mike Blommer Reates Curry Radhakrishnan Swaminathan D. Kochhar W. Talamonti L. Tijerina FAtt 11 5 0 03 Mar 2021
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 33 220 0 25 Feb 2021
Do Input Gradients Highlight Discriminative Features? Harshay Shah Prateek Jain Praneeth Netrapalli AAML FAtt 21 57 0 25 Feb 2021
Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing Sarah Wiegreffe Ana Marasović XAI 11 141 0 24 Feb 2021
Provable Boolean Interaction Recovery from Tree Ensemble obtained via Random Forests Merle Behr Yu Wang Xiao Li Bin-Xia Yu 14 13 0 23 Feb 2021
Believe The HiPe: Hierarchical Perturbation for Fast, Robust, and Model-Agnostic Saliency Mapping Jessica Cooper Ognjen Arandjelovic David J. Harrison AAML 9 13 0 22 Feb 2021
Robust Explanations for Private Support Vector Machines R. Mochaourab Sugandh Sinha S. Greenstein P. Papapetrou 9 2 0 07 Feb 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 136 120 0 21 Jan 2021
Elastic Net based Feature Ranking and Selection Shaode Yu Haobo Chen Hang Yu Zhicheng Zhang Xiaokun Liang Wenjian Qin Yaoqin Xie Ping Shi OOD CML 23 5 0 30 Dec 2020
Unbox the Blackbox: Predict and Interpret YouTube Viewership Using Deep Learning Jiaheng Xie Xinyu Liu HAI 25 10 0 21 Dec 2020
Genetic Adversarial Training of Decision Trees Francesco Ranzato Marco Zanella 14 14 0 21 Dec 2020
Automatic Test Suite Generation for Key-Points Detection DNNs using Many-Objective Search (Experience Paper) Fitash Ul Haq Donghwan Shin Lionel C. Briand Thomas Stifter Jun Wang AAML 21 19 0 11 Dec 2020
The Three Ghosts of Medical AI: Can the Black-Box Present Deliver? Thomas P. Quinn Stephan Jacobs M. Senadeera Vuong Le S. Coghlan 25 112 0 10 Dec 2020
Understanding Interpretability by generalized distillation in Supervised Classification Adit Agarwal Dr. K.K. Shukla Arjan Kuijper Anirban Mukhopadhyay FaML FAtt 24 0 0 05 Dec 2020
Explainable AI for ML jet taggers using expert variables and layerwise relevance propagation G. Agarwal L. Hay I. Iashvili Benjamin Mannix C. McLean Margaret E. Morris S. Rappoccio U. Schubert 30 18 0 26 Nov 2020
Deep learning insights into cosmological structure formation Luisa Lucie-Smith H. Peiris A. Pontzen Brian D. Nord Jeyan Thiyagalingam 24 6 0 20 Nov 2020
Impact of Accuracy on Model Interpretations Brian Liu Madeleine Udell FAtt 19 9 0 17 Nov 2020
A Survey on the Explainability of Supervised Machine Learning Nadia Burkart Marco F. Huber FaML XAI 25 752 0 16 Nov 2020
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty Soufiane Belharbi Jérôme Rony Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 19 52 0 14 Nov 2020
Generalized Constraints as A New Mathematical Problem in Artificial Intelligence: A Review and Perspective Bao-Gang Hu Hanbing Qu AI4CE 20 1 0 12 Nov 2020
Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective N. Truong Kai Sun Siyao Wang Florian Guitton Yike Guo FedML 12 9 0 10 Nov 2020
Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification Agus Sudjianto William Knauth Rahul Singh Zebin Yang Aijun Zhang FAtt 35 44 0 08 Nov 2020
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization Judy Borowski Roland S. Zimmermann Judith Schepers Robert Geirhos Thomas S. A. Wallis Matthias Bethge Wieland Brendel FAtt 39 7 0 23 Oct 2020