Interpretable machine learning: definitions, methods, and applications

14 January 2019

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

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Title
Towards responsible AI for education: Hybrid human-AI to confront the Elephant in the room Danial Hooshyar Gustav Šír Yeongwook Yang Eve Kikas Raija Hamalainen T. Karkkainen Dragan Gašević Roger Azevedo 34 0 0 22 Apr 2025
Towards scientific machine learning for granular material simulations -- challenges and opportunities Marc Fransen Andreas Fürst D. Tunuguntla Daniel N. Wilke Benedikt Alkin ... Takayuki Shuku WaiChing Sun T. Weinhart Dongwei Ye Hongyang Cheng AI4CE 31 0 0 01 Apr 2025
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 80 0 0 30 Mar 2025
Birds look like cars: Adversarial analysis of intrinsically interpretable deep learning Hubert Baniecki P. Biecek AAML 80 0 0 11 Mar 2025
Lost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic Variations David Hartmann Amin Oueslati Dimitri Staufer Lena Pohlmann Simon Munzert Hendrik Heuer 48 0 0 03 Mar 2025
Model Lakes Koyena Pal David Bau Renée J. Miller 67 0 0 24 Feb 2025
Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models P. Hess Markus Drüke S. Petri Felix M. Strnad Niklas Boers 35 60 0 03 Jan 2025
Semi-Supervised Risk Control via Prediction-Powered Inference Bat-Sheva Einbinder Liran Ringel Yaniv Romano 76 0 0 15 Dec 2024
Learning Predictive Checklists with Probabilistic Logic Programming Yukti Makhija E. Brouwer Rahul G. Krishnan 69 0 0 25 Nov 2024
Improving Decision Sparsity Yiyang Sun Tong Wang Cynthia Rudin 136 1 0 27 Oct 2024
Linking Model Intervention to Causal Interpretation in Model Explanation Debo Cheng Ziqi Xu Jiuyong Li Lin Liu Kui Yu T. Le Jixue Liu CML 23 0 0 21 Oct 2024
Reproducibility study of "LICO: Explainable Models with Language-Image Consistency" Luan Fletcher Robert van der Klis Martin Sedláček Stefan Vasilev Christos Athanasiadis 34 1 0 17 Oct 2024
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP Eunji Kim Kyuhong Shim Simyung Chang Sungroh Yoon CLIP 28 0 0 11 Oct 2024
Tackling the Accuracy-Interpretability Trade-off in a Hierarchy of Machine Learning Models for the Prediction of Extreme Heatwaves Alessandro Lovo Amaury Lancelin Corentin Herbert Freddy Bouchet AI4CE 23 0 0 01 Oct 2024
Best Practices for Responsible Machine Learning in Credit Scoring Giovani Valdrighi Athyrson M. Ribeiro Jansen S. B. Pereira Vitoria Guardieiro Arthur Hendricks ... Juan David Nieto Garcia Felipe F. Bocca Thalita B. Veronese Lucas Wanner Marcos Medeiros Raimundo FaML 37 0 0 30 Sep 2024
Recent advances in interpretable machine learning using structure-based protein representations L. Vecchietti Minji Lee Begench Hangeldiyev Hyunkyu Jung Hahnbeom Park Tae-Kyun Kim Meeyoung Cha Ho Min Kim AI4CE 32 1 0 26 Sep 2024
Explainable AI needs formal notions of explanation correctness Stefan Haufe Rick Wilming Benedict Clark Rustam Zhumagambetov Danny Panknin Ahcène Boubekki XAI 31 1 0 22 Sep 2024
Discovering Car-following Dynamics from Trajectory Data through Deep Learning Ohay Angah James Enouen Xuegang (Jeff) Ban Ban Yan Liu 27 0 0 01 Aug 2024
On Behalf of the Stakeholders: Trends in NLP Model Interpretability in the Era of LLMs Nitay Calderon Roi Reichart 40 10 0 27 Jul 2024
Robustness of Explainable Artificial Intelligence in Industrial Process Modelling Benedikt Kantz Clemens Staudinger C. Feilmayr Johannes Wachlmayr Alexander Haberl Stefan Schuster Franz Pernkopf 31 2 0 12 Jul 2024
The Role of Depth, Width, and Tree Size in Expressiveness of Deep Forest Shen-Huan Lyu Jin-Hui Wu Qin-Cheng Zheng Baoliu Ye 31 0 0 06 Jul 2024
Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models Hengyi Wang Shiwei Tan Hao Wang BDL 42 6 0 18 Jun 2024
GECOBench: A Gender-Controlled Text Dataset and Benchmark for Quantifying Biases in Explanations Rick Wilming Artur Dox Hjalmar Schulz Marta Oliveira Benedict Clark Stefan Haufe 35 2 0 17 Jun 2024
Explainable AI improves task performance in human-AI collaboration J. Senoner Simon Schallmoser Bernhard Kratzwald Stefan Feuerriegel Torbjørn H. Netland 42 8 0 12 Jun 2024
Are Objective Explanatory Evaluation metrics Trustworthy? An Adversarial Analysis Prithwijit Chowdhury Mohit Prabhushankar Ghassan AlRegib Mohamed Deriche 38 1 0 12 Jun 2024
Shaping History: Advanced Machine Learning Techniques for the Analysis and Dating of Cuneiform Tablets over Three Millennia Danielle Kapon Michael Fire S. Gordin 36 1 0 06 Jun 2024
Unveiling Hidden Factors: Explainable AI for Feature Boosting in Speech Emotion Recognition Alaa Nfissi W. Bouachir Nizar Bouguila Brian Mishara 16 5 0 01 Jun 2024
Interpretable and Editable Programmatic Tree Policies for Reinforcement Learning Hector Kohler Quentin Delfosse R. Akrour Kristian Kersting Philippe Preux 62 14 0 23 May 2024
Building a stable classifier with the inflated argmax Jake A. Soloff Rina Foygel Barber Rebecca Willett 96 2 0 22 May 2024
Data Science Principles for Interpretable and Explainable AI Kris Sankaran FaML 40 0 0 17 May 2024
Stability via resampling: statistical problems beyond the real line Jake A. Soloff Rina Foygel Barber Rebecca Willett 27 3 0 15 May 2024
Interpretability Needs a New Paradigm Andreas Madsen Himabindu Lakkaraju Siva Reddy Sarath Chandar 39 4 0 08 May 2024
MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging Yuanye Liu Zheyao Gao Nannan Shi Fuping Wu Yuxin Shi Qingchao Chen Xiahai Zhuang 27 2 0 05 May 2024
Hierarchical Neural Additive Models for Interpretable Demand Forecasts Leif Feddersen Catherine Cleophas BDL AI4TS 21 1 0 05 Apr 2024
Comprehensible Artificial Intelligence on Knowledge Graphs: A survey Simon Schramm C. Wehner Ute Schmid 25 25 0 04 Apr 2024
Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences Dimitris Bertsimas V. Digalakis Yu Ma Phevos Paschalidis 27 0 0 28 Mar 2024
What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks Kacper Sokol Julia E. Vogt 37 11 0 19 Mar 2024
Orthogonal Gradient Boosting for Simpler Additive Rule Ensembles Fan Yang P. L. Bodic Michael Kamp Mario Boley 20 0 0 24 Feb 2024
Sparse and Faithful Explanations Without Sparse Models Yiyang Sun Zhi Chen Vittorio Orlandi Tong Wang Cynthia Rudin 38 2 0 15 Feb 2024
Connecting Algorithmic Fairness to Quality Dimensions in Machine Learning in Official Statistics and Survey Production Patrick Oliver Schenk Christoph Kern FaML 31 0 0 14 Feb 2024
Learning a Decision Tree Algorithm with Transformers Yufan Zhuang Liyuan Liu Chandan Singh Jingbo Shang Jianfeng Gao 44 5 0 06 Feb 2024
Approximate Attributions for Off-the-Shelf Siamese Transformers Lucas Moller Dmitry Nikolaev Sebastian Padó 21 4 0 05 Feb 2024
Rethinking Interpretability in the Era of Large Language Models Chandan Singh J. Inala Michel Galley Rich Caruana Jianfeng Gao LRM AI4CE 77 62 0 30 Jan 2024
A Cross-Language Investigation into Jailbreak Attacks in Large Language Models Jie Li Yi Liu Chongyang Liu Ling Shi Xiaoning Ren Yaowen Zheng Yang Liu Yinxing Xue AAML 9 23 0 30 Jan 2024
Interpretable deep learning in single-cell omics Manoj M Wagle Siqu Long Carissa Chen Chun-Lin Liu Pengyi Yang AI4CE 10 5 0 11 Jan 2024
Beyond Fidelity: Explaining Vulnerability Localization of Learning-based Detectors Baijun Cheng Shengming Zhao Kailong Wang Meizhen Wang Guangdong Bai Ruitao Feng Yao Guo Lei Ma Haoyu Wang FAtt AAML 29 7 0 05 Jan 2024
Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models Yinan Cheng ChiHua Wang Vamsi K. Potluru T. Balch Guang Cheng 25 7 0 01 Jan 2024
Factor Importance Ranking and Selection using Total Indices Chaofan Huang V. R. Joseph 20 1 0 01 Jan 2024
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems Junhao Shen Hong Qian Wei Zhang Aimin Zhou AI4Ed 17 10 0 30 Dec 2023
Anomaly component analysis Romain Valla Pavlo Mozharovskyi Florence dÁlché-Buc 19 0 0 26 Dec 2023