Cover Image

Benchmarking Stroke Forecasting with Stroke-Level Badminton Dataset

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Wei-Yao, Du, Wei-Wei, Peng, Wen-Chih, Ik, Tsi-Ui
Format:	Preprint
Published:	2023
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Offline Imitation of Badminton Player Behavior via Experiential Contexts and Brownian Motion
by: Wang, Kuang-Da, et al.
Published: (2024)

BadminSense: Enabling Fine-Grained Badminton Stroke Evaluation on a Single Smartwatch
by: Chen, Taizhou, et al.
Published: (2026)

BadmintonGRF: A Multimodal Dataset and Benchmark for Markerless Ground Reaction Force Estimation in Badminton
by: Niu, Kuoye, et al.
Published: (2026)

A Survey on Self-Supervised Learning for Non-Sequential Tabular Data
by: Wang, Wei-Yao, et al.
Published: (2024)

NEWSAGENT: Benchmarking Multimodal Agents as Journalists with Real-World Newswriting Tasks
by: Chien, Yen-Che, et al.
Published: (2025)

APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
by: Wu, Hong-Wei, et al.
Published: (2024)

Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series
by: Chang, Ching, et al.
Published: (2025)

Style-News: Incorporating Stylized News Generation and Adversarial Verification for Neural Fake News Detection
by: Wang, Wei-Yao, et al.
Published: (2024)

Can We Change the Stroke Size for Easier Diffusion?
by: Bai, Yunwei, et al.
Published: (2026)

Crime Forecasting: A Spatio-temporal Analysis with Deep Learning Models
by: Mao, Li, et al.
Published: (2025)

Enhancing Stroke Diagnosis in the Brain Using a Weighted Deep Learning Approach
by: Zhiwan, Yao, et al.
Published: (2025)

Learning Human-Like Badminton Skills for Humanoid Robots
by: Chen, Yeke, et al.
Published: (2026)

TimeDRL: Disentangled Representation Learning for Multivariate Time-Series
by: Chang, Ching, et al.
Published: (2023)

Self-Supervised Learning of Disentangled Representations for Multivariate Time-Series
by: Chang, Ching, et al.
Published: (2024)

DEFM: Delay E mbedding based Forecast Machine for Time Series Forecasting by Spatiotemporal Information Transformation
by: Peng, Hao, et al.
Published: (2020)

Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
by: Shao, Zezhi, et al.
Published: (2023)

Stroke-based Cyclic Amplifier: Image Super-Resolution at Arbitrary Ultra-Large Scales
by: Guo, Wenhao, et al.
Published: (2025)

FineBadminton: A Multi-Level Dataset for Fine-Grained Badminton Video Understanding
by: He, Xusheng, et al.
Published: (2025)

Federated GNNs for EEG-Based Stroke Assessment
by: Protani, Andrea, et al.
Published: (2024)

Generating Sketches in a Hierarchical Auto-Regressive Process for Flexible Sketch Drawing Manipulation at Stroke-Level
by: Zang, Sicong, et al.
Published: (2025)

PhenoFlow: A Human-LLM Driven Visual Analytics System for Exploring Large and Complex Stroke Datasets
by: Kim, Jaeyoung, et al.
Published: (2024)

Stroke Prediction using Clinical and Social Features in Machine Learning
by: Chadha, Aidan
Published: (2024)

Team Trifecta at Factify5WQA: Setting the Standard in Fact Verification with Fine-Tuning
by: Chiang, Shang-Hsuan, et al.
Published: (2024)

ShuttleEnv: An Interactive Data-Driven RL Environment for Badminton Strategy Modeling
by: Li, Ang, et al.
Published: (2026)

A New Pipeline For Generating Instruction Dataset via RAG and Self Fine-Tuning
by: Song, Chih-Wei, et al.
Published: (2024)

Responsible AI in NLP: GUS-Net Span-Level Bias Detection Dataset and Benchmark for Generalizations, Unfairness, and Stereotypes
by: Powers, Maximus, et al.
Published: (2024)

Stroke Disease Classification Using Machine Learning with Feature Selection Techniques
by: Hasan, Mahade, et al.
Published: (2025)

Root Cause Analysis In Microservice Using Neural Granger Causal Discovery
by: Lin, Cheng-Ming, et al.
Published: (2024)

CodeSense: a Real-World Benchmark and Dataset for Code Semantic Reasoning
by: Roy, Monoshi Kumar, et al.
Published: (2025)

StrokeNeXt: A Siamese-encoder Approach for Brain Stroke Classification in Computed Tomography Imagery
by: Ramos, Leo Thomas, et al.
Published: (2026)

TemPose-TF-ASF: Two-Stage Bidirectional Stroke Context Fusion for Badminton Stroke Classification
by: Liu, Tzu-Yu, et al.
Published: (2026)

Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning
by: Gao, Fengyi, et al.
Published: (2024)

BADGE: BADminton report Generation and Evaluation with LLM
by: Chiang, Shang-Hsuan, et al.
Published: (2024)

Transformer-Based Classification Outcome Prediction for Multimodal Stroke Treatment
by: Ma, Danqing, et al.
Published: (2024)

XSRD-Net: EXplainable Stroke Relapse Detection
by: Gapp, Christian, et al.
Published: (2025)

FAST-CAD: A Fairness-Aware Framework for Non-Contact Stroke Diagnosis
by: Sha, Tommy, et al.
Published: (2025)

Benchmarking Badminton Action Recognition with a New Fine-Grained Dataset
by: Li, Qi, et al.
Published: (2024)

ACA-Net: Future Graph Learning for Logistical Demand-Supply Forecasting
by: Shi, Jiacheng, et al.
Published: (2025)

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models
by: Chang, Ching, et al.
Published: (2025)

ChatEMG: Synthetic Data Generation to Control a Robotic Hand Orthosis for Stroke
by: Xu, Jingxi, et al.
Published: (2024)