:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Amri-Jouidel, Fadoua, Kemel, Emmanuel, Mussard, Stéphane
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2603.26476
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimizing Multidimensional Scaling in Gini Metric Spaces
by: Mussard, Cassandra, et al.
Published: (2026)

KNN and K-means in Gini Prametric Spaces
by: Mussard, Cassandra, et al.
Published: (2025)

Aumann-SHAP: The Geometry of Counterfactual Interaction Explanations in Machine Learning
by: Belahcen, Adam, et al.
Published: (2026)

When mitigating bias is unfair: multiplicity and arbitrariness in algorithmic group fairness
by: Krco, Natasa, et al.
Published: (2023)

Are LLM-based methods good enough for detecting unfair terms of service?
by: Frasheri, Mirgita, et al.
Published: (2024)

Deep Joint Distribution Optimal Transport for Universal Domain Adaptation on Time Series
by: Mussard, Romain, et al.
Published: (2025)

Universal Domain Adaptation Benchmark for Time Series Data Representation
by: Mussard, Romain, et al.
Published: (2025)

How important are the genes to explain the outcome - the asymmetric Shapley value as an honest importance metric for high-dimensional features
by: van de Wiel, Mark A., et al.
Published: (2026)

MaskSDM with Shapley values to improve flexibility, robustness, and explainability in species distribution modeling
by: Zbinden, Robin, et al.
Published: (2025)

Exploring the Role of Convolutional Neural Networks (CNN) in Dental Radiography Segmentation: A Comprehensive Systematic Literature Review
by: Brahmi, Walid, et al.
Published: (2024)

FW-Shapley: Real-time Estimation of Weighted Shapley Values
by: Panda, Pranoy, et al.
Published: (2025)

Can Large Language Models Learn Formal Logic? A Data-Driven Training and Evaluation Framework
by: Xia, Yuan, et al.
Published: (2025)

Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models
by: Paz-Ruza, Jorge, et al.
Published: (2024)

Discovery and inference beyond linearity by integrating Bayesian regression, tree ensembles and Shapley values
by: Spadaccini, Giorgio, et al.
Published: (2025)

An explainable framework for the relationship between dementia and glucose metabolism patterns
by: Vázquez-García, C., et al.
Published: (2026)

A finite sample analysis of the benign overfitting phenomenon for ridge function estimation
by: Caron, Emmanuel, et al.
Published: (2020)

An explainable operator approximation framework under the guideline of Green's function
by: Gu, Jianghang, et al.
Published: (2024)

SIM-Shapley: A Stable and Computationally Efficient Approach to Shapley Value Approximation
by: Fan, Wangxuan, et al.
Published: (2025)

TokenShapley: Token Level Context Attribution with Shapley Value
by: Xiao, Yingtai, et al.
Published: (2025)

Convolutional Neural Networks and Vision Transformers for Fashion MNIST Classification: A Literature Review
by: Bbouzidi, Sonia, et al.
Published: (2024)

Priority-Aware Shapley Value
by: Lee, Kiljae, et al.
Published: (2026)

Accidentes ofídicos en Yopal y Leticia, Colombia, 1996-1997
by: Kemel Ghotme
Published: (2002)

Mathematically rigorous proofs for Shapley explanations
by: van Batenburg, David
Published: (2025)

Probabilistic Shapley Value Modeling and Inference
by: Ketenci, Mert, et al.
Published: (2024)

On Model Extrapolation in Marginal Shapley Values
by: Rozenfeld, Ilya
Published: (2024)

Shapley Marginal Surplus for Strong Models
by: de Marchi, Daniel, et al.
Published: (2024)

Prediction via Shapley Value Regression
by: Alkhatib, Amr, et al.
Published: (2025)

Approximating Shapley Explanations in Reinforcement Learning
by: Beechey, Daniel, et al.
Published: (2025)

A novel application of Shapley values for large multidimensional time-series data: Applying explainable AI to a DNA profile classification neural network
by: Elborough, Lauren, et al.
Published: (2024)

An Odd Estimator for Shapley Values
by: Fumagalli, Fabian, et al.
Published: (2026)

On the Inflation of KNN-Shapley Value
by: Yang, Ziao, et al.
Published: (2024)

Suboptimal Shapley Value Explanations
by: Lu, Xiaolei
Published: (2025)

A redescription mining framework for post-hoc explaining and relating deep learning models
by: Mihelčić, Matej, et al.
Published: (2025)

Shapley Curves: A Smoothing Perspective
by: Miftachov, Ratmir, et al.
Published: (2022)

Shapley-PC: Constraint-based Causal Structure Learning with a Shapley Inspired Framework
by: Russo, Fabrizio, et al.
Published: (2023)

Stabilizing Estimates of Shapley Values with Control Variates
by: Goldwasser, Jeremy, et al.
Published: (2023)

Explainable Fraud Detection with GNNExplainer and Shapley Values
by: Dao, Ngoc Hieu
Published: (2025)

SPLIT: Separating Physical-Contact via Latent Arithmetic in Image-Based Tactile Sensors
by: Amri, Wadhah Zai El, et al.
Published: (2026)

Energy-Tweedie: Score meets Score, Energy meets Energy
by: Leban, Andrej
Published: (2025)

Dynamic Shapley Computation
by: Yang, Xuan, et al.
Published: (2026)