Imagen de Portada

Robust Explainer Recommendation for Time Series Classification

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Nguyen, Thu Trang, Nguyen, Thach Le, Ifrim, Georgiana
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Improving the Evaluation and Actionability of Explanation Methods for Multivariate Time Series Classification
por: Serramazza, Davide Italo, et al.
Publicado: (2024)

Improving Time Series Encoding with Noise-Aware Self-Supervised Learning and an Efficient Encoder
por: Nguyen, Duy A., et al.
Publicado: (2023)

Mixture of Experts Meets Prompt-Based Continual Learning
por: Le, Minh, et al.
Publicado: (2024)

Motion Code: Robust Time Series Classification and Forecasting via Sparse Variational Multi-Stochastic Processes Learning
por: Bajaj, Chandrajit, et al.
Publicado: (2024)

Gap Safe Screening Rules for Fast Training of Robust Support Vector Machines under Feature Noise
por: Nguyen, Tan-Hau, et al.
Publicado: (2026)

Large Language Models for Designing Participatory Budgeting Rules
por: Thach, Nguyen, et al.
Publicado: (2026)

Reviving Error Correction in Modern Deep Time-Series Forecasting
por: Nguyen, Minh Hoang, et al.
Publicado: (2026)

Structured Exploration and Exploitation of Label Functions for Automated Data Annotation
por: Lam, Phong, et al.
Publicado: (2026)

Implet: A Post-hoc Subsequence Explainer for Time Series Models
por: Meng, Fanyu, et al.
Publicado: (2025)

iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML
por: Le, Dat, et al.
Publicado: (2026)

Spectral Text Fusion: A Frequency-Aware Approach to Multimodal Time-Series Forecasting
por: Nguyen, Huu Hiep, et al.
Publicado: (2026)

Accelerating Long-Term Molecular Dynamics with Physics-Informed Time-Series Forecasting
por: Le, Hung, et al.
Publicado: (2025)

An Empirical Evaluation of Factors Affecting SHAP Explanation of Time Series Classification
por: Serramazza, Davide Italo, et al.
Publicado: (2025)

Large Language Models for Multi-Facility Location Mechanism Design
por: Thach, Nguyen, et al.
Publicado: (2025)

RedAHD: Reduction-Based End-to-End Automatic Heuristic Design with Large Language Models
por: Thach, Nguyen, et al.
Publicado: (2025)

Statistical Advantages of Perturbing Cosine Router in Mixture of Experts
por: Nguyen, Huy, et al.
Publicado: (2024)

Directly Handling Missing Data in Linear Discriminant Analysis for Enhancing Classification Accuracy and Interpretability
por: Vo, Tuan L., et al.
Publicado: (2024)

Empirical Comparison of Lightweight Forecasting Models for Seasonal and Non-Seasonal Time Series
por: Nguyen, Thanh Son, et al.
Publicado: (2025)

Correctness Assessment of Code Generated by Large Language Models Using Internal Representations
por: Bui, Tuan-Dung, et al.
Publicado: (2025)

LEGION: Harnessing Pre-trained Language Models for GitHub Topic Recommendations with Distribution-Balance Loss
por: Dang, Yen-Trang, et al.
Publicado: (2024)

Cost-Adaptive Recourse Recommendation by Adaptive Preference Elicitation
por: Nguyen, Duy, et al.
Publicado: (2024)

RAMBO: Enhancing RAG-based Repository-Level Method Body Completion
por: Bui, Tuan-Dung, et al.
Publicado: (2024)

LLMs as Visual Explainers: Advancing Image Classification with Evolving Visual Descriptions
por: Han, Songhao, et al.
Publicado: (2023)

Attack On Prompt: Backdoor Attack in Prompt-Based Continual Learning
por: Nguyen, Trang, et al.
Publicado: (2024)

Persistent Homology-induced Graph Ensembles for Time Series Regressions
por: Nguyen, Viet The, et al.
Publicado: (2025)

Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions
por: Khan, Zulqarnain, et al.
Publicado: (2022)

Enhancing Time Series Forecasting via a Parallel Hybridization of ARIMA and Polynomial Classifiers
por: Nguyen, Thanh Son, et al.
Publicado: (2025)

Adaptive Prompting for Continual Relation Extraction: A Within-Task Variance Perspective
por: Le, Minh, et al.
Publicado: (2024)

Feature Optimization for Time Series Forecasting via Novel Randomized Uphill Climbing
por: Van Thanh, Nguyen
Publicado: (2025)

Watch Your Step: A Cost-Sensitive Framework for Accelerometer-Based Fall Detection in Real-World Streaming Scenarios
por: Aderinola, Timilehin B., et al.
Publicado: (2025)

Adjusted Shuffling SARAH: Advancing Complexity Analysis via Dynamic Gradient Weighting
por: Nguyen, Duc Toan, et al.
Publicado: (2025)

Improving Minimax Estimation Rates for Contaminated Mixture of Multinomial Logistic Experts via Expert Heterogeneity
por: Yan, Fanqi, et al.
Publicado: (2026)

Missing data imputation for noisy time-series data and applications in healthcare
por: Le, Lien P., et al.
Publicado: (2024)

Safe Active Learning for Time-Series Modeling with Gaussian Processes
por: Zimmer, Christoph, et al.
Publicado: (2024)

IBMA: An Imputation-Based Mixup Augmentation Using Self-Supervised Learning for Time Series Data
por: Nguyen, Dang Nha, et al.
Publicado: (2025)

Robust Ante-hoc Graph Explainer using Bilevel Optimization
por: Luong, Kha-Dinh, et al.
Publicado: (2023)

Challenges in Understanding Modality Conflict in Vision-Language Models
por: Nguyen, Trang, et al.
Publicado: (2025)

Cold-start Recommendation by Personalized Embedding Region Elicitation
por: Nguyen, Hieu Trung, et al.
Publicado: (2024)

Adversarial Robustness of Time-Series Classification for Crystal Collimator Alignment
por: Fink, Xaver, et al.
Publicado: (2026)

LogoRA: Local-Global Representation Alignment for Robust Time Series Classification
por: Zhang, Huanyu, et al.
Publicado: (2024)