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Visualizing the Feature Importance for Black Box Models

18 April 2018

Papers citing "Visualizing the Feature Importance for Black Box Models"

50 / 62 papers shown

Title
Beyond the Black Box: Interpretability of LLMs in Finance Hariom Tatsat Ariye Shater AIFin 72 0 0 14 May 2025
Explainable AI the Latest Advancements and New Trends Bowen Long Enjie Liu Renxi Qiu Yanqing Duan XAI 161 0 0 11 May 2025
Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning Lefei Zhang Lijie Hu Di Wang LRM 205 5 0 17 Feb 2025
Distribution Guided Active Feature Acquisition Yang Li Junier Oliva 71 0 0 04 Oct 2024
Accelerating Deep Learning with Fixed Time Budget Muhammad Asif Khan R. Hamila Hamid Menouar 83 0 0 03 Oct 2024
Random Forest Regression Feature Importance for Climate Impact Pathway Detection Meredith G. L. Brown Matt Peterson Irina Tezaur Kara Peterson Diana Bull 19 1 0 25 Sep 2024
On the influence of dependent features in classification problems: a game-theoretic perspective Laura Davila-Pena Alejandro Saavedra-Nieves Balbina Casas-Méndez TDI FAtt 61 0 0 05 Aug 2024
Free-text Rationale Generation under Readability Level Control Yi-Sheng Hsu Nils Feldhus Sherzod Hakimov 112 2 0 01 Jul 2024
On the Robustness of Global Feature Effect Explanations Hubert Baniecki Giuseppe Casalicchio Bernd Bischl Przemyslaw Biecek 94 2 0 13 Jun 2024
Position: A Call to Action for a Human-Centered AutoML Paradigm Marius Lindauer Florian Karl A. Klier Julia Moosbauer Alexander Tornede Andreas Mueller Frank Hutter Matthias Feurer Bernd Bischl 92 8 0 05 Jun 2024
Why do explanations fail? A typology and discussion on failures in XAI Clara Bove Thibault Laugel Marie-Jeanne Lesot C. Tijus Marcin Detyniecki 73 3 0 22 May 2024
T-Explainer: A Model-Agnostic Explainability Framework Based on Gradients Evandro S. Ortigossa Fábio F. Dias Brian Barr Claudio T. Silva L. G. Nonato FAtt 167 3 0 25 Apr 2024
Mechanistic Interpretability for AI Safety -- A Review Leonard Bereska E. Gavves AI4CE 137 158 0 22 Apr 2024
Beyond TreeSHAP: Efficient Computation of Any-Order Shapley Interactions for Tree Ensembles Maximilian Muschalik Fabian Fumagalli Barbara Hammer Eyke Hüllermeier TDI 107 18 0 22 Jan 2024
Machine Learning For An Explainable Cost Prediction of Medical Insurance U. Orji Elochukwu A. Ukwandu 60 35 0 23 Nov 2023
On the Relationship Between Interpretability and Explainability in Machine Learning Benjamin Leblanc Pascal Germain FaML 114 0 0 20 Nov 2023
XplainLLM: A QA Explanation Dataset for Understanding LLM Decision-Making Zichen Chen Jianda Chen Mitali Gaidhani Ambuj K. Singh Misha Sra 67 4 0 15 Nov 2023
Model-agnostic variable importance for predictive uncertainty: an entropy-based approach Danny Wood Theodore Papamarkou Matt Benatan Richard Allmendinger FAtt UD 73 5 0 19 Oct 2023
RHALE: Robust and Heterogeneity-aware Accumulated Local Effects Vasilis Gkolemis Theodore Dalamagas Eirini Ntoutsi Christos Diou 46 5 0 20 Sep 2023
Statistically Valid Variable Importance Assessment through Conditional Permutations Ahmad Chamma Denis A. Engemann Bertrand Thirion 50 11 0 14 Sep 2023
Diffusion-based Visual Counterfactual Explanations -- Towards Systematic Quantitative Evaluation Philipp Vaeth Alexander M. Fruehwald Benjamin Paassen Magda Gregorova DiffM 50 4 0 11 Aug 2023
Explaining and visualizing black-box models through counterfactual paths Bastian Pfeifer Mateusz Krzyzinski Hubert Baniecki Anna Saranti Andreas Holzinger P. Biecek 79 0 0 15 Jul 2023
The Effect of Balancing Methods on Model Behavior in Imbalanced Classification Problems Adrian Stando Mustafa Cavus P. Biecek 57 5 0 30 Jun 2023
Designing Explainable Predictive Machine Learning Artifacts: Methodology and Practical Demonstration Giacomo Welsch Peter Kowalczyk 58 1 0 20 Jun 2023
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits Zhuokai Zhao Takumi Matsuzawa W. Irvine Michael Maire G. Kindlmann 92 2 0 31 May 2023
MLOps Spanning Whole Machine Learning Life Cycle: A Survey Fang Zhengxin Yuan Yi Zhang Jingyu Liu Yue Mu Yuechen ... Xu Xiwei Wang Jeff Wang Chen Zhang Shuai Chen Shiping 54 4 0 13 Apr 2023
XAIR: A Framework of Explainable AI in Augmented Reality Xuhai Xu Anna Yu Tanya R. Jonker Kashyap Todi Feiyu Lu ... Narine Kokhlikyan Fulton Wang P. Sorenson Sophie Kahyun Kim Hrvoje Benko 89 55 0 28 Mar 2023
A System's Approach Taxonomy for User-Centred XAI: A Survey Ehsan Emamirad Pouya Ghiasnezhad Omran A. Haller S. Gregor 96 1 0 06 Mar 2023
iSAGE: An Incremental Version of SAGE for Online Explanation on Data Streams Maximilian Muschalik Fabian Fumagalli Barbara Hammer Eyke Hüllermeier 55 3 0 02 Mar 2023
CEnt: An Entropy-based Model-agnostic Explainability Framework to Contrast Classifiers' Decisions Julia El Zini Mohamad Mansour M. Awad 63 1 0 19 Jan 2023
The Berkelmans-Pries Feature Importance Method: A Generic Measure of Informativeness of Features Joris Pries Guus Berkelmans Sandjai Bhulai R. V. D. Mei FAtt 54 0 0 11 Jan 2023
Measuring the Driving Forces of Predictive Performance: Application to Credit Scoring Hué Sullivan Hurlin Christophe Pérignon Christophe Saurin Sébastien 112 0 0 12 Dec 2022
Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms Elnaz Yousefzadeh Barri S. Farber H. Jahanshahi Eda Beyazıt 46 14 0 30 Nov 2022
Abstract Interpretation-Based Feature Importance for SVMs Abhinanda Pal Francesco Ranzato Caterina Urban Marco Zanella FAtt 56 0 0 22 Oct 2022
RbX: Region-based explanations of prediction models Ismael Lemhadri Harrison H. Li Trevor Hastie 24 2 0 17 Oct 2022
A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge Liron Simon Keren A. Liberzon Teddy Lazebnik 112 85 0 13 Sep 2022
Incremental Permutation Feature Importance (iPFI): Towards Online Explanations on Data Streams Fabian Fumagalli Maximilian Muschalik Eyke Hüllermeier Barbara Hammer 66 22 0 05 Sep 2022
Anomaly Attribution with Likelihood Compensation T. Idé Amit Dhurandhar Jirí Navrátil Moninder Singh Naoki Abe 38 15 0 23 Aug 2022
Unifying local and global model explanations by functional decomposition of low dimensional structures M. Hiabu Josephine T. Meyer Marvin N. Wright FAtt 82 21 0 12 Aug 2022
On Machine Learning-Driven Surrogates for Sound Transmission Loss Simulations Barbara Z Cunha A. Zine M. Ichchou C. Droz Stéphane Foulard AI4CE 72 5 0 25 Apr 2022
Visualizing Global Explanations of Point Cloud DNNs Hanxiao Tan 3DPC 93 8 0 17 Mar 2022
Evaluating Local Explanations using White-box Models Amir Hossein Akhavan Rahnama Judith Butepage Pierre Geurts Henrik Bostrom FAtt 129 0 0 04 Jun 2021
Grouped Feature Importance and Combined Features Effect Plot Quay Au J. Herbinger Clemens Stachl B. Bischl Giuseppe Casalicchio FAtt 98 47 0 23 Apr 2021
Individual Explanations in Machine Learning Models: A Case Study on Poverty Estimation Alfredo Carrillo Luis F. Cantú Luis Tejerina Alejandro Noriega 23 3 0 09 Apr 2021
Individual Explanations in Machine Learning Models: A Survey for Practitioners Alfredo Carrillo Luis F. Cantú Alejandro Noriega FaML 31 15 0 09 Apr 2021
Coalitional strategies for efficient individual prediction explanation Gabriel Ferrettini Elodie Escriva Julien Aligon Jean-Baptiste Excoffier C. Soulé-Dupuy 61 19 0 01 Apr 2021
PredDiff: Explanations and Interactions from Conditional Expectations Stefan Blücher Johanna Vielhaben Nils Strodthoff FAtt 50 19 0 26 Feb 2021
Why model why? Assessing the strengths and limitations of LIME Jurgen Dieber S. Kirrane FAtt 92 104 0 30 Nov 2020
Interpretable Machine Learning -- A Brief History, State-of-the-Art and Challenges Christoph Molnar Giuseppe Casalicchio B. Bischl AI4TS AI4CE 114 405 0 19 Oct 2020
General Pitfalls of Model-Agnostic Interpretation Methods for Machine Learning Models Christoph Molnar Gunnar Konig J. Herbinger Timo Freiesleben Susanne Dandl Christian A. Scholbeck Giuseppe Casalicchio Moritz Grosse-Wentrup B. Bischl FAtt AI4CE 85 140 0 08 Jul 2020