DeltaSHAP: Explaining Prediction Evolutions in Online Patient Monitoring with Shapley Values
Fuente:
arXiv
Saved in:
| Main Authors: | Kim, Changhun, Mun, Yechan, Hahn, Sangchul, Yang, Eunho |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring
by: Kim, Changhun, et al.
Published: (2025)
by: Kim, Changhun, et al.
Published: (2025)
HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization
by: Wever, Marcel, et al.
Published: (2025)
by: Wever, Marcel, et al.
Published: (2025)
TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
by: Jang, Hyeongwon, et al.
Published: (2025)
by: Jang, Hyeongwon, et al.
Published: (2025)
Explaining Drift using Shapley Values
by: Edakunni, Narayanan U., et al.
Published: (2024)
by: Edakunni, Narayanan U., et al.
Published: (2024)
CQD-SHAP: Explainable Complex Query Answering via Shapley Values
by: Abbasi, Parsa, et al.
Published: (2025)
by: Abbasi, Parsa, et al.
Published: (2025)
ShapShift: Explaining Model Prediction Shifts with Subgroup Conditional Shapley Values
by: Bewley, Tom, et al.
Published: (2026)
by: Bewley, Tom, et al.
Published: (2026)
AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler
by: Kim, Changhun, et al.
Published: (2024)
by: Kim, Changhun, et al.
Published: (2024)
TN-SHAP-G: Graph-Structured Tensor Network Surrogates for Shapley Values and Interactions
by: Heidari, Farzaneh, et al.
Published: (2026)
by: Heidari, Farzaneh, et al.
Published: (2026)
Verified SHAP: Provable Bounds for Exact Shapley Values of Neural Networks
by: Boetius, David, et al.
Published: (2026)
by: Boetius, David, et al.
Published: (2026)
GroupSegment-SHAP: Shapley Value Explanations with Group-Segment Players for Multivariate Time Series
by: Kim, Jinwoong, et al.
Published: (2026)
by: Kim, Jinwoong, et al.
Published: (2026)
KernelSHAP-IQ: Weighted Least-Square Optimization for Shapley Interactions
by: Fumagalli, Fabian, et al.
Published: (2024)
by: Fumagalli, Fabian, et al.
Published: (2024)
Explaining Large Language Models Decisions Using Shapley Values
by: Mohammadi, Behnam
Published: (2024)
by: Mohammadi, Behnam
Published: (2024)
Verifying Meta-Awareness via Predictive Rewards in Reasoning Models
by: Kim, Yoonjeon, et al.
Published: (2025)
by: Kim, Yoonjeon, et al.
Published: (2025)
On the Inflation of KNN-Shapley Value
by: Yang, Ziao, et al.
Published: (2024)
by: Yang, Ziao, et al.
Published: (2024)
Suboptimal Shapley Value Explanations
by: Lu, Xiaolei
Published: (2025)
by: Lu, Xiaolei
Published: (2025)
An Odd Estimator for Shapley Values
by: Fumagalli, Fabian, et al.
Published: (2026)
by: Fumagalli, Fabian, et al.
Published: (2026)
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
by: Wang, Jingtan, et al.
Published: (2024)
by: Wang, Jingtan, et al.
Published: (2024)
InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly
by: Enouen, James, et al.
Published: (2025)
by: Enouen, James, et al.
Published: (2025)
Fair Clustering via Alignment
by: Kim, Kunwoong, et al.
Published: (2025)
by: Kim, Kunwoong, et al.
Published: (2025)
Exactly Computing do-Shapley Values
by: Witter, R. Teal, et al.
Published: (2026)
by: Witter, R. Teal, et al.
Published: (2026)
Generalized Priority-Aware Shapley Value
by: Lee, Kiljae, et al.
Published: (2026)
by: Lee, Kiljae, et al.
Published: (2026)
Regression-adjusted Monte Carlo Estimators for Shapley Values and Probabilistic Values
by: Witter, R. Teal, et al.
Published: (2025)
by: Witter, R. Teal, et al.
Published: (2025)
Shapley-Value-Based Graph Sparsification for GNN Inference
by: Akkas, Selahattin, et al.
Published: (2025)
by: Akkas, Selahattin, et al.
Published: (2025)
Losing is for Cherishing: Data Valuation Based on Machine Unlearning and Shapley Value
by: Ma, Le, et al.
Published: (2025)
by: Ma, Le, et al.
Published: (2025)
From Abstract to Actionable: Pairwise Shapley Values for Explainable AI
by: Xu, Jiaxin, et al.
Published: (2025)
by: Xu, Jiaxin, et al.
Published: (2025)
Feature Inference Attack on Shapley Values
by: Luo, Xinjian, et al.
Published: (2024)
by: Luo, Xinjian, et al.
Published: (2024)
Faithful Group Shapley Value
by: Lee, Kiljae, et al.
Published: (2025)
by: Lee, Kiljae, et al.
Published: (2025)
CFG-OEC: Classifier Free Guidance with Orthogonal Error Correction
by: Yang, Nakgyu, et al.
Published: (2025)
by: Yang, Nakgyu, et al.
Published: (2025)
Amortized Linear-time Exact Shapley Value for Product-Kernel Methods
by: Mohammadi, Majid, et al.
Published: (2025)
by: Mohammadi, Majid, et al.
Published: (2025)
Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models
by: Idrissi, Marouane Il, et al.
Published: (2025)
by: Idrissi, Marouane Il, et al.
Published: (2025)
Shapley Neuron Values for Continual Learning: Which Neurons Matter Most?
by: Vahedifar, Mohammad Ali, et al.
Published: (2026)
by: Vahedifar, Mohammad Ali, et al.
Published: (2026)
Provably Accurate Shapley Value Estimation via Leverage Score Sampling
by: Musco, Christopher, et al.
Published: (2024)
by: Musco, Christopher, et al.
Published: (2024)
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective
by: Zhao, Ningsheng, et al.
Published: (2024)
by: Zhao, Ningsheng, et al.
Published: (2024)
PolySHAP: Extending KernelSHAP with Interaction-Informed Polynomial Regression
by: Fumagalli, Fabian, et al.
Published: (2026)
by: Fumagalli, Fabian, et al.
Published: (2026)
Fairness Through Matching
by: Kim, Kunwoong, et al.
Published: (2025)
by: Kim, Kunwoong, et al.
Published: (2025)
Every Expert Matters: Towards Effective Knowledge Distillation for Mixture-of-Experts Language Models
by: Kim, Gyeongman, et al.
Published: (2025)
by: Kim, Gyeongman, et al.
Published: (2025)
PromptKD: Distilling Student-Friendly Knowledge for Generative Language Models via Prompt Tuning
by: Kim, Gyeongman, et al.
Published: (2024)
by: Kim, Gyeongman, et al.
Published: (2024)
Interaction Tensor SHAP
by: Hasegawa, Hiroki, et al.
Published: (2025)
by: Hasegawa, Hiroki, et al.
Published: (2025)
Joint Distribution-Informed Shapley Values for Sparse Counterfactual Explanations
by: You, Lei, et al.
Published: (2024)
by: You, Lei, et al.
Published: (2024)
Shift-Invariant Attribute Scoring for Kolmogorov-Arnold Networks via Shapley Value
by: Fan, Wangxuan, et al.
Published: (2025)
by: Fan, Wangxuan, et al.
Published: (2025)
Similar Items
-
Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring
by: Kim, Changhun, et al.
Published: (2025) -
HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization
by: Wever, Marcel, et al.
Published: (2025) -
TIMING: Temporality-Aware Integrated Gradients for Time Series Explanation
by: Jang, Hyeongwon, et al.
Published: (2025) -
Explaining Drift using Shapley Values
by: Edakunni, Narayanan U., et al.
Published: (2024) -
CQD-SHAP: Explainable Complex Query Answering via Shapley Values
by: Abbasi, Parsa, et al.
Published: (2025)