Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges

19 October 2020

Papers citing "Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges"

32 / 32 papers shown

Title
Verification and Validation for Trustworthy Scientific Machine Learning John D. Jakeman Lorena A. Barba J. Martins Thomas O'Leary-Roseberry AI4CE 56 0 0 21 Feb 2025
Surrogate Modeling for Explainable Predictive Time Series Corrections Alfredo Lopez Florian Sobieczky AI4TS 43 0 0 17 Jan 2025
A Tale of Two Imperatives: Privacy and Explainability Supriya Manna Niladri Sett 91 0 0 30 Dec 2024
Extending Explainable Ensemble Trees (E2Tree) to regression contexts Massimo Aria Agostino Gnasso C. Iorio Marjolein Fokkema 22 0 0 10 Sep 2024
A Moonshot for AI Oracles in the Sciences Bryan Kaiser Tailin Wu Maike Sonnewald Colin Thackray Skylar Callis AI4CE 51 0 0 25 Jun 2024
Genetic Programming for Explainable Manifold Learning Ben Cravens Andrew Lensen Paula Maddigan Bing Xue 42 1 0 21 Mar 2024
Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration Julian Rodemann Federico Croppi Philipp Arens Yusuf Sale J. Herbinger B. Bischl Eyke Hüllermeier Thomas Augustin Conor J. Walsh Giuseppe Casalicchio 46 7 0 07 Mar 2024
A Mass-Conserving-Perceptron for Machine Learning-Based Modeling of Geoscientific Systems Yuan-Heng Wang Hoshin V. Gupta AI4CE 32 6 0 12 Oct 2023
Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis Anahid N. Jalali Bernhard Haslhofer Simone Kriglstein Andreas Rauber FAtt 24 4 0 21 Sep 2023
RecRec: Algorithmic Recourse for Recommender Systems Sahil Verma Ashudeep Singh Varich Boonsanong John P. Dickerson Chirag Shah 25 1 0 28 Aug 2023
Software Doping Analysis for Human Oversight Sebastian Biewer Kevin Baum Sarah Sterz Holger Hermanns Sven Hetmank Markus Langer Anne Lauber-Rönsberg Franz Lehr 20 4 0 11 Aug 2023
Finding Optimal Diverse Feature Sets with Alternative Feature Selection Jakob Bach 15 1 0 21 Jul 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 35 2 0 31 May 2023
An Interpretable Loan Credit Evaluation Method Based on Rule Representation Learner Zi-yu Chen Xiaomeng Wang Yuanjiang Huang Tao Jia 31 1 0 03 Apr 2023
Less is More: The Influence of Pruning on the Explainability of CNNs David Weber F. Merkle Pascal Schöttle Stephan Schlögl Martin Nocker FAtt 29 1 0 17 Feb 2023
Neurosymbolic AI for Reasoning over Knowledge Graphs: A Survey L. Delong Ramon Fernández Mir Jacques D. Fleuriot NAI 25 12 0 14 Feb 2023
The Contextual Lasso: Sparse Linear Models via Deep Neural Networks Ryan Thompson Amir Dezfouli Robert Kohn 31 4 0 02 Feb 2023
Interpretability with full complexity by constraining feature information Kieran A. Murphy Danielle Bassett FAtt 27 5 0 30 Nov 2022
Shapley Curves: A Smoothing Perspective Ratmir Miftachov Georg Keilbar Wolfgang Karl Härdle FAtt 30 1 0 23 Nov 2022
Comparing Explanation Methods for Traditional Machine Learning Models Part 2: Quantifying Model Explainability Faithfulness and Improvements with Dimensionality Reduction Montgomery Flora Corey K. Potvin A. McGovern Shawn Handler FAtt 26 4 0 18 Nov 2022
Automatic Diagnosis of Myocarditis Disease in Cardiac MRI Modality using Deep Transformers and Explainable Artificial Intelligence M. Jafari A. Shoeibi Navid Ghassemi Jónathan Heras Saiguang Ling ... Shuihua Wang R. Alizadehsani Juan M Gorriz U. Acharya Hamid Alinejad-Rokny MedIm 20 11 0 26 Oct 2022
Algorithm-Agnostic Interpretations for Clustering Christian A. Scholbeck Henri Funk Giuseppe Casalicchio 23 0 0 21 Sep 2022
Machine Learning Partners in Criminal Networks Diego D. Lopes B. R. D. Cunha Alvaro F. Martins S. Gonçalves E. Lenzi Q. Hanley M. Perc H. V. Ribeiro 11 22 0 07 Sep 2022
Learnable Visual Words for Interpretable Image Recognition Wenxi Xiao Zhengming Ding Hongfu Liu VLM 12 2 0 22 May 2022
Interactive Model Cards: A Human-Centered Approach to Model Documentation Anamaria Crisan Margaret Drouhard Jesse Vig Nazneen Rajani HAI 25 87 0 05 May 2022
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset Leon Sixt M. Schuessler Oana-Iuliana Popescu Philipp Weiß Tim Landgraf FAtt 26 14 0 25 Apr 2022
A Data-Driven Method for Automated Data Superposition with Applications in Soft Matter Science Kyle R. Lennon G. McKinley J. Swan 14 7 0 20 Apr 2022
A Survey on Aspect-Based Sentiment Classification Gianni Brauwers Flavius Frasincar LLMAG 31 109 0 27 Mar 2022
Object-centric Process Predictive Analytics Riccardo Galanti M. Leoni Nicoló Navarin Alan Marazzi 11 21 0 05 Mar 2022
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 36 414 0 11 Nov 2021
Shapley variable importance clouds for interpretable machine learning Yilin Ning M. Ong Bibhas Chakraborty B. Goldstein Daniel Ting Roger Vaughan Nan Liu FAtt 21 69 0 06 Oct 2021
Towards A Rigorous Science of Interpretable Machine Learning Finale Doshi-Velez Been Kim XAI FaML 251 3,683 0 28 Feb 2017