Saved in:
| Main Authors: | Patil, Pranjal, Ji, Anli, Aydin, Berkay |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.08999 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Active Region-based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers
by: Ji, Anli, et al.
Published: (2024)
by: Ji, Anli, et al.
Published: (2024)
Enhancing Explainability in Solar Energetic Particle Event Prediction: A Global Feature Mapping Approach
by: Ji, Anli, et al.
Published: (2025)
by: Ji, Anli, et al.
Published: (2025)
Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF
by: Ji, Anli, et al.
Published: (2024)
by: Ji, Anli, et al.
Published: (2024)
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps
by: Li, Peiyu, et al.
Published: (2024)
by: Li, Peiyu, et al.
Published: (2024)
Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting
by: Pandey, Chetraj, et al.
Published: (2024)
by: Pandey, Chetraj, et al.
Published: (2024)
Navigating Time's Possibilities: Plausible Counterfactual Explanations for Multivariate Time-Series Forecast through Genetic Algorithms
by: Zuin, Gianlucca, et al.
Published: (2026)
by: Zuin, Gianlucca, et al.
Published: (2026)
TriShGAN: Enhancing Sparsity and Robustness in Multivariate Time Series Counterfactuals Explanation
by: Ma, Hongnan, et al.
Published: (2025)
by: Ma, Hongnan, et al.
Published: (2025)
Motif-guided Time Series Counterfactual Explanations
by: Li, Peiyu, et al.
Published: (2022)
by: Li, Peiyu, et al.
Published: (2022)
Counterfactual Explanation for Multivariate Time Series Forecasting with Exogenous Variables
by: Kinjo, Keita
Published: (2025)
by: Kinjo, Keita
Published: (2025)
ST-Tree with Interpretability for Multivariate Time Series Classification
by: Du, Mingsen, et al.
Published: (2024)
by: Du, Mingsen, et al.
Published: (2024)
What-If Explanations Over Time: Counterfactuals for Time Series Classification
by: Schlegel, Udo, et al.
Published: (2026)
by: Schlegel, Udo, et al.
Published: (2026)
Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series Classification
by: Refoyo, Mario, et al.
Published: (2024)
by: Refoyo, Mario, et al.
Published: (2024)
Large Scale Evaluation of Deep Learning-based Explainable Solar Flare Forecasting Models with Attribution-based Proximity Analysis
by: Adeyeha, Temitope, et al.
Published: (2024)
by: Adeyeha, Temitope, et al.
Published: (2024)
GenFacts-Generative Counterfactual Explanations for Multi-Variate Time Series
by: Seifi, Sarah, et al.
Published: (2025)
by: Seifi, Sarah, et al.
Published: (2025)
Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection
by: Srinivasan, Abhishek, et al.
Published: (2025)
by: Srinivasan, Abhishek, et al.
Published: (2025)
From Prototypes to Sparse ECG Explanations: SHAP-Driven Counterfactuals for Multivariate Time-Series Multi-class Classification
by: Mozolewski, Maciej, et al.
Published: (2025)
by: Mozolewski, Maciej, et al.
Published: (2025)
EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions
by: Chakraborty, Sanjay, et al.
Published: (2024)
by: Chakraborty, Sanjay, et al.
Published: (2024)
Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification
by: Serramazza, Davide Italo, et al.
Published: (2024)
by: Serramazza, Davide Italo, et al.
Published: (2024)
Counterfactual Explanations for Time Series Should be Human-Centered and Temporally Coherent in Interventions
by: Chukwu, Emmanuel C., et al.
Published: (2025)
by: Chukwu, Emmanuel C., et al.
Published: (2025)
Shapelet-based Model-agnostic Counterfactual Local Explanations for Time Series Classification
by: Huang, Qi, et al.
Published: (2024)
by: Huang, Qi, et al.
Published: (2024)
Interpretable Model-Aware Counterfactual Explanations for Random Forest
by: Harvey, Joshua S., et al.
Published: (2025)
by: Harvey, Joshua S., et al.
Published: (2025)
Transformer Modeling for Both Scalability and Performance in Multivariate Time Series
by: Lee, Hunjae, et al.
Published: (2025)
by: Lee, Hunjae, et al.
Published: (2025)
EvoMorph: Counterfactual Explanations for Continuous Time-Series Extrinsic Regression Applied to Photoplethysmography
by: Ceylan, Mesut, et al.
Published: (2026)
by: Ceylan, Mesut, et al.
Published: (2026)
Adopting Trustworthy AI for Sleep Disorder Prediction: Deep Time Series Analysis with Temporal Attention Mechanism and Counterfactual Explanations
by: Ahadian, Pegah, et al.
Published: (2024)
by: Ahadian, Pegah, et al.
Published: (2024)
CF-OPT: Counterfactual Explanations for Structured Prediction
by: Vivier-Ardisson, Germain, et al.
Published: (2024)
by: Vivier-Ardisson, Germain, et al.
Published: (2024)
Counterfactual Explainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification
by: Cetina, Alan G. Paredes, et al.
Published: (2025)
by: Cetina, Alan G. Paredes, et al.
Published: (2025)
A Multi-Agent Framework for Interpreting Multivariate Physiological Time Series
by: Gabrielli, Davide, et al.
Published: (2026)
by: Gabrielli, Davide, et al.
Published: (2026)
ProtoTSNet: Interpretable Multivariate Time Series Classification With Prototypical Parts
by: Małkus, Bartłomiej, et al.
Published: (2025)
by: Małkus, Bartłomiej, et al.
Published: (2025)
Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform
by: Koren, Noam, et al.
Published: (2024)
by: Koren, Noam, et al.
Published: (2024)
Prototype-Guided Classification Sub-Task Decoupling Framework: Enhancing Generalization and Interpretability for Multivariate Time Series
by: Song, Xianhao, et al.
Published: (2026)
by: Song, Xianhao, et al.
Published: (2026)
Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification
by: Kan, Ziwen, et al.
Published: (2024)
by: Kan, Ziwen, et al.
Published: (2024)
Explanation Space: A New Perspective into Time Series Interpretability
by: Rezaei, Shahbaz, et al.
Published: (2024)
by: Rezaei, Shahbaz, et al.
Published: (2024)
Info-CELS: Informative Saliency Map Guided Counterfactual Explanation
by: Li, Peiyu, et al.
Published: (2024)
by: Li, Peiyu, et al.
Published: (2024)
Precise and Accurate Short-term Forecasting of Solar Energetic Particle Events with Multivariate Time Series Classifiers
by: Rotti, Sumanth A., et al.
Published: (2024)
by: Rotti, Sumanth A., et al.
Published: (2024)
Short-term Classification of Strong Solar Energetic Particle Events using Multivariate Time Series Classifiers
by: Rotti, Sumanth A., et al.
Published: (2024)
by: Rotti, Sumanth A., et al.
Published: (2024)
Learning Actionable Counterfactual Explanations in Large State Spaces
by: Naggita, Keziah, et al.
Published: (2024)
by: Naggita, Keziah, et al.
Published: (2024)
Structured Temporal Causality for Interpretable Multivariate Time Series Anomaly Detection
by: Cho, Dongchan, et al.
Published: (2025)
by: Cho, Dongchan, et al.
Published: (2025)
Sample, Scrutinize and Scale: Effective Inference-Time Search by Scaling Verification
by: Zhao, Eric, et al.
Published: (2025)
by: Zhao, Eric, et al.
Published: (2025)
On Identifying Why and When Foundation Models Perform Well on Time-Series Forecasting Using Automated Explanations and Rating
by: Widener, Michael, et al.
Published: (2025)
by: Widener, Michael, et al.
Published: (2025)
MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting
by: Cai, Wanlin, et al.
Published: (2023)
by: Cai, Wanlin, et al.
Published: (2023)
Similar Items
-
Active Region-based Flare Forecasting with Sliding Window Multivariate Time Series Forest Classifiers
by: Ji, Anli, et al.
Published: (2024) -
Enhancing Explainability in Solar Energetic Particle Event Prediction: A Global Feature Mapping Approach
by: Ji, Anli, et al.
Published: (2025) -
Towards Hybrid Embedded Feature Selection and Classification Approach with Slim-TSF
by: Ji, Anli, et al.
Published: (2024) -
M-CELS: Counterfactual Explanation for Multivariate Time Series Data Guided by Learned Saliency Maps
by: Li, Peiyu, et al.
Published: (2024) -
Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting
by: Pandey, Chetraj, et al.
Published: (2024)