Interpretable machine learning: definitions, methods, and applications

14 January 2019

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

29 / 329 papers shown

Title
Understanding complex predictive models with Ghost Variables Pedro Delicado D. Peña FAtt 34 4 0 13 Dec 2019
Counterfactual Explanation Algorithms for Behavioral and Textual Data Yanou Ramon David Martens F. Provost Theodoros Evgeniou FAtt 17 87 0 04 Dec 2019
Discovering Invariances in Healthcare Neural Networks M. T. Bahadori Layne Price OOD 16 0 0 08 Nov 2019
Distilling Black-Box Travel Mode Choice Model for Behavioral Interpretation Xilei Zhao Zhengze Zhou X. Yan Pascal Van Hentenryck 21 2 0 30 Oct 2019
A Decision-Theoretic Approach for Model Interpretability in Bayesian Framework Homayun Afrabandpey Tomi Peltola Juho Piironen Aki Vehtari Samuel Kaski 17 3 0 21 Oct 2019
Contextual Local Explanation for Black Box Classifiers Zijian Zhang Fan Yang Haofan Wang Xia Hu FAtt 6 4 0 02 Oct 2019
Interpretations are useful: penalizing explanations to align neural networks with prior knowledge Laura Rieger Chandan Singh W. James Murdoch Bin Yu FAtt 19 213 0 30 Sep 2019
Deep Weakly-Supervised Learning Methods for Classification and Localization in Histology Images: A Survey Jérôme Rony Soufiane Belharbi Jose Dolz Ismail Ben Ayed Luke McCaffrey Eric Granger 25 70 0 08 Sep 2019
SIRUS: Stable and Interpretable RUle Set for Classification Clément Bénard Gérard Biau Sébastien Da Veiga Erwan Scornet 34 9 0 19 Aug 2019
DeepDrawing: A Deep Learning Approach to Graph Drawing Yong Wang Zhihua Jin Qianwen Wang Weiwei Cui Tengfei Ma Huamin Qu 45 55 0 17 Jul 2019
Evaluating Explanation Without Ground Truth in Interpretable Machine Learning Fan Yang Mengnan Du Xia Hu XAI ELM 27 66 0 16 Jul 2019
The Mass, Fake News, and Cognition Security Bin Guo Yasan Ding Yueheng Sun Shuai Ma Ke Li 25 24 0 09 Jul 2019
Global Aggregations of Local Explanations for Black Box models I. V. D. Linden H. Haned Evangelos Kanoulas FAtt 13 63 0 05 Jul 2019
A Debiased MDI Feature Importance Measure for Random Forests Xiao Li Yu Wang Sumanta Basu Karl Kumbier Bin Yu 11 83 0 26 Jun 2019
Understanding artificial intelligence ethics and safety David Leslie FaML AI4TS 22 345 0 11 Jun 2019
Proposed Guidelines for the Responsible Use of Explainable Machine Learning Patrick Hall Navdeep Gill N. Schmidt SILM XAI FaML 6 28 0 08 Jun 2019
Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness Walt Woods Jack H Chen C. Teuscher AAML 15 46 0 07 Jun 2019
Model-Agnostic Counterfactual Explanations for Consequential Decisions Amir-Hossein Karimi Gilles Barthe Borja Balle Isabel Valera 44 317 0 27 May 2019
Explainable Machine Learning for Scientific Insights and Discoveries R. Roscher B. Bohn Marco F. Duarte Jochen Garcke XAI 29 659 0 21 May 2019
Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees Summer Devlin Chandan Singh W. James Murdoch Bin Yu FAtt 11 14 0 18 May 2019
LGM-Net: Learning to Generate Matching Networks for Few-Shot Learning Huaiyu Li Weiming Dong Xing Mei Chongyang Ma Feiyue Huang Bao-Gang Hu OffRL 32 98 0 15 May 2019
ExplaiNE: An Approach for Explaining Network Embedding-based Link Predictions Bo Kang Jefrey Lijffijt T. D. Bie 11 21 0 22 Apr 2019
Modeling Heterogeneity in Mode-Switching Behavior Under a Mobility-on-Demand Transit System: An Interpretable Machine Learning Approach Xilei Zhao X. Yan Pascal Van Hentenryck 23 11 0 08 Feb 2019
Fooling Neural Network Interpretations via Adversarial Model Manipulation Juyeon Heo Sunghwan Joo Taesup Moon AAML FAtt 10 201 0 06 Feb 2019
Veridical Data Science Bin Yu Karl Kumbier 15 162 0 23 Jan 2019
Modeling Stated Preference for Mobility-on-Demand Transit: A Comparison of Machine Learning and Logit Models Xilei Zhao X. Yan Alan Yu Pascal Van Hentenryck 19 24 0 04 Nov 2018
Hierarchical interpretations for neural network predictions Chandan Singh W. James Murdoch Bin Yu 23 145 0 14 Jun 2018
Structural Compression of Convolutional Neural Networks R. Abbasi-Asl Bin-Xia Yu 25 16 0 20 May 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 295 10,618 0 19 Feb 2017