Simulating Tracking Data to Advance Sports Analytics Research
Fuente:
arXiv
Saved in:
| Main Authors: | Radke, David, Tilbury, Kyle |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations
by: Wang, Cheng, et al.
Published: (2024)
by: Wang, Cheng, et al.
Published: (2024)
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2024)
by: Formanek, Claude, et al.
Published: (2024)
Detecting Contextual Anomalies by Discovering Consistent Spatial Regions
by: Yang, Zhengye, et al.
Published: (2025)
by: Yang, Zhengye, et al.
Published: (2025)
Ontologies in Motion: A BFO-Based Approach to Knowledge Graph Construction for Motor Performance Research Data in Sports Science
by: Ondraszek, Sarah Rebecca, et al.
Published: (2025)
by: Ondraszek, Sarah Rebecca, et al.
Published: (2025)
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation
by: Formanek, Claude, et al.
Published: (2024)
by: Formanek, Claude, et al.
Published: (2024)
A Research on Business Process Optimisation Model Integrating AI and Big Data Analytics
by: Liao, Di, et al.
Published: (2025)
by: Liao, Di, et al.
Published: (2025)
Difficulty Modelling in Mobile Puzzle Games: An Empirical Study on Different Methods to Combine Player Analytics and Simulated Data
by: Kristensen, Jeppe Theiss, et al.
Published: (2024)
by: Kristensen, Jeppe Theiss, et al.
Published: (2024)
Simulation of Nanorobots with Artificial Intelligence and Reinforcement Learning for Advanced Cancer Cell Detection and Tracking
by: Kavousinejad, Shahab
Published: (2024)
by: Kavousinejad, Shahab
Published: (2024)
Deep Learning and Machine Learning, Advancing Big Data Analytics and Management: Tensorflow Pretrained Models
by: Chen, Keyu, et al.
Published: (2024)
by: Chen, Keyu, et al.
Published: (2024)
AIDABench: AI Data Analytics Benchmark
by: Yang, Yibo, et al.
Published: (2026)
by: Yang, Yibo, et al.
Published: (2026)
TrackNetV4: Enhancing Fast Sports Object Tracking with Motion Attention Maps
by: Raj, Arjun, et al.
Published: (2024)
by: Raj, Arjun, et al.
Published: (2024)
TAACKIT: Track Annotation and Analytics with Continuous Knowledge Integration Tool
by: Lee, Lily, et al.
Published: (2024)
by: Lee, Lily, et al.
Published: (2024)
AgenticData: An Agentic Data Analytics System for Heterogeneous Data
by: Sun, Ji, et al.
Published: (2025)
by: Sun, Ji, et al.
Published: (2025)
Selective Reincarnation: Offline-to-Online Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2023)
by: Formanek, Claude, et al.
Published: (2023)
Coordination Failure in Cooperative Offline MARL
by: Tilbury, Callum Rhys, et al.
Published: (2024)
by: Tilbury, Callum Rhys, et al.
Published: (2024)
Predictive Analytics for Dementia: Machine Learning on Healthcare Data
by: Opee, Shafiul Ajam, et al.
Published: (2026)
by: Opee, Shafiul Ajam, et al.
Published: (2026)
SportsMetrics: Blending Text and Numerical Data to Understand Information Fusion in LLMs
by: Hu, Yebowen, et al.
Published: (2024)
by: Hu, Yebowen, et al.
Published: (2024)
Multi-task Learning for Joint Re-identification, Team Affiliation, and Role Classification for Sports Visual Tracking
by: Mansourian, Amir M., et al.
Published: (2024)
by: Mansourian, Amir M., et al.
Published: (2024)
TAIJI: MCP-based Multi-Modal Data Analytics on Data Lakes
by: Zhang, Chao, et al.
Published: (2025)
by: Zhang, Chao, et al.
Published: (2025)
Data Quality Antipatterns for Software Analytics
by: Bhatia, Aaditya, et al.
Published: (2024)
by: Bhatia, Aaditya, et al.
Published: (2024)
ARTEMIS-DA: An Advanced Reasoning and Transformation Engine for Multi-Step Insight Synthesis in Data Analytics
by: Hussain, Atin Sakkeer
Published: (2024)
by: Hussain, Atin Sakkeer
Published: (2024)
LogiCity: Advancing Neuro-Symbolic AI with Abstract Urban Simulation
by: Li, Bowen, et al.
Published: (2024)
by: Li, Bowen, et al.
Published: (2024)
Developing AI Agents with Simulated Data: Why, what, and how?
by: Liu, Xiaoran, et al.
Published: (2026)
by: Liu, Xiaoran, et al.
Published: (2026)
Data-to-Dashboard: Multi-Agent LLM Framework for Insightful Visualization in Enterprise Analytics
by: Zhang, Ran, et al.
Published: (2025)
by: Zhang, Ran, et al.
Published: (2025)
CoddLLM: Empowering Large Language Models for Data Analytics
by: Zhang, Jiani, et al.
Published: (2025)
by: Zhang, Jiani, et al.
Published: (2025)
OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters
by: Chen, Zexin, et al.
Published: (2024)
by: Chen, Zexin, et al.
Published: (2024)
VERSA: Verified Event Data Format for Reliable Soccer Analytics
by: Jo, Geonhee, et al.
Published: (2026)
by: Jo, Geonhee, et al.
Published: (2026)
Powering In-Database Dynamic Model Slicing for Structured Data Analytics
by: Zeng, Lingze, et al.
Published: (2024)
by: Zeng, Lingze, et al.
Published: (2024)
Enterprise Deep Research: Steerable Multi-Agent Deep Research for Enterprise Analytics
by: Prabhakar, Akshara, et al.
Published: (2025)
by: Prabhakar, Akshara, et al.
Published: (2025)
Advances in Machine Learning Research Using Knowledge Graphs
by: Si, Jing, et al.
Published: (2024)
by: Si, Jing, et al.
Published: (2024)
A Tutorial on Teaching Data Analytics with Generative AI
by: Bray, Robert L.
Published: (2024)
by: Bray, Robert L.
Published: (2024)
EchoTracker: Advancing Myocardial Point Tracking in Echocardiography
by: Azad, Md Abulkalam, et al.
Published: (2024)
by: Azad, Md Abulkalam, et al.
Published: (2024)
Computationally Intensive Research: Advancing a Role for Secondary Analysis of Qualitative Data
by: Mohajeri, Kaveh, et al.
Published: (2025)
by: Mohajeri, Kaveh, et al.
Published: (2025)
EPIC: Generative AI Platform for Accelerating HPC Operational Data Analytics
by: Karimi, Ahmad Maroof, et al.
Published: (2025)
by: Karimi, Ahmad Maroof, et al.
Published: (2025)
Enhancing Sports Strategy with Video Analytics and Data Mining: Assessing the effectiveness of Multimodal LLMs in tennis video analysis
by: Teo, Charlton
Published: (2025)
by: Teo, Charlton
Published: (2025)
From PDFs to Structured Data: Utilizing LLM Analysis in Sports Database Management
by: Merilehto, Juhani
Published: (2024)
by: Merilehto, Juhani
Published: (2024)
AI-Enabled Conversational Journaling for Advancing Parkinson's Disease Symptom Tracking
by: Rashik, Mashrur, et al.
Published: (2025)
by: Rashik, Mashrur, et al.
Published: (2025)
Machine Learning in Biomechanics: Key Applications and Limitations in Walking, Running, and Sports Movements
by: Dindorf, Carlo, et al.
Published: (2025)
by: Dindorf, Carlo, et al.
Published: (2025)
ZnTrack -- Data as Code
by: Zills, Fabian, et al.
Published: (2024)
by: Zills, Fabian, et al.
Published: (2024)
Building Scaffolding Dialogue Data with LLM-Simulated Novices
by: Chen, Si, et al.
Published: (2025)
by: Chen, Si, et al.
Published: (2025)
Similar Items
-
Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations
by: Wang, Cheng, et al.
Published: (2024) -
Putting Data at the Centre of Offline Multi-Agent Reinforcement Learning
by: Formanek, Claude, et al.
Published: (2024) -
Detecting Contextual Anomalies by Discovering Consistent Spatial Regions
by: Yang, Zhengye, et al.
Published: (2025) -
Ontologies in Motion: A BFO-Based Approach to Knowledge Graph Construction for Motor Performance Research Data in Sports Science
by: Ondraszek, Sarah Rebecca, et al.
Published: (2025) -
Dispelling the Mirage of Progress in Offline MARL through Standardised Baselines and Evaluation
by: Formanek, Claude, et al.
Published: (2024)