NCAA Bracket Prediction Using Machine Learning and Combinatorial Fusion Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Yuanhong, Smith, Isaiah, Marwah, Tushar, Schroeter, Michael, Rahouti, Mohamed, Hsu, D. Frank |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
by: Wu, Yuanhong, et al.
Published: (2026)
by: Wu, Yuanhong, et al.
Published: (2026)
Enhancing Sentiment Classification with Machine Learning and Combinatorial Fusion
by: Patten, Sean, et al.
Published: (2025)
by: Patten, Sean, et al.
Published: (2025)
Towards Equitable ASD Diagnostics: A Comparative Study of Machine and Deep Learning Models Using Behavioral and Facial Data
by: Aledhari, Mohammed, et al.
Published: (2024)
by: Aledhari, Mohammed, et al.
Published: (2024)
Mathematical Insights into Protein Architecture: Persistent Homology and Machine Learning Applied to the Flagellar Motor
by: Lamine, Zakaria, et al.
Published: (2025)
by: Lamine, Zakaria, et al.
Published: (2025)
Enhancing Value Alignment of LLMs with Multi-agent system and Combinatorial Fusion
by: Wu, Yuanhong, et al.
Published: (2026)
by: Wu, Yuanhong, et al.
Published: (2026)
Soft Learning
by: Aledhari, Mohammed, et al.
Published: (2026)
by: Aledhari, Mohammed, et al.
Published: (2026)
Learning in Multiple Spaces: Few-Shot Network Attack Detection with Metric-Fused Prototypical Networks
by: Martinez-Lopez, Fernando, et al.
Published: (2024)
by: Martinez-Lopez, Fernando, et al.
Published: (2024)
Cryptocurrency Price Forecasting Using XGBoost Regressor and Technical Indicators
by: Hafid, Abdelatif, et al.
Published: (2024)
by: Hafid, Abdelatif, et al.
Published: (2024)
Predicting Market Trends with Enhanced Technical Indicator Integration and Classification Models
by: Hafid, Abdelatif, et al.
Published: (2024)
by: Hafid, Abdelatif, et al.
Published: (2024)
Advancing DDoS Attack Detection: A Synergistic Approach Using Deep Residual Neural Networks and Synthetic Oversampling
by: Alfatemi, Ali, et al.
Published: (2024)
by: Alfatemi, Ali, et al.
Published: (2024)
A Comprehensive Analysis of Churn Prediction in Telecommunications Using Machine Learning
by: Chen, Xuhang, et al.
Published: (2025)
by: Chen, Xuhang, et al.
Published: (2025)
Comparative Analysis of Stroke Prediction Models Using Machine Learning
by: Tashkova, Anastasija, et al.
Published: (2025)
by: Tashkova, Anastasija, et al.
Published: (2025)
Forecasting NCAA Basketball Outcomes with Deep Learning: A Comparative Study of LSTM and Transformer Models
by: Habib, Md Imtiaz
Published: (2025)
by: Habib, Md Imtiaz
Published: (2025)
Combinatorial Optimization Augmented Machine Learning
by: Schiffer, Maximilian, et al.
Published: (2026)
by: Schiffer, Maximilian, et al.
Published: (2026)
Nonlinear Transformations Against Unlearnable Datasets
by: Hapuarachchi, Thushari, et al.
Published: (2024)
by: Hapuarachchi, Thushari, et al.
Published: (2024)
Automated and Explainable Denial of Service Analysis for AI-Driven Intrusion Detection Systems
by: Yakubu, Paul Badu, et al.
Published: (2025)
by: Yakubu, Paul Badu, et al.
Published: (2025)
InFusionLayer: a CFA-based ensemble tool to generate new classifiers for learning and modeling
by: Roginek, Eric, et al.
Published: (2026)
by: Roginek, Eric, et al.
Published: (2026)
Predicting The Cop Number Using Machine Learning
by: Mann, Meagan, et al.
Published: (2026)
by: Mann, Meagan, et al.
Published: (2026)
Diabetes Prediction Using Machine Learning
by: GOKUL, BESTHA, et al.
Published: (2025)
by: GOKUL, BESTHA, et al.
Published: (2025)
Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
by: Amin, Md. Tahsin, et al.
Published: (2026)
by: Amin, Md. Tahsin, et al.
Published: (2026)
Efficient Milling Quality Prediction with Explainable Machine Learning
by: Gross, Dennis, et al.
Published: (2024)
by: Gross, Dennis, et al.
Published: (2024)
Fault Analysis And Predictive Maintenance Of Induction Motor Using Machine Learning
by: Venkatesh, Kavana, et al.
Published: (2024)
by: Venkatesh, Kavana, et al.
Published: (2024)
Metabolomic Biomarker Discovery for ADHD Diagnosis Using Interpretable Machine Learning
by: Belacel, Nabil, et al.
Published: (2026)
by: Belacel, Nabil, et al.
Published: (2026)
UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation
by: Shen, Junhong, et al.
Published: (2024)
by: Shen, Junhong, et al.
Published: (2024)
Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach
by: Martinez, Fernando, et al.
Published: (2024)
by: Martinez, Fernando, et al.
Published: (2024)
Predicting NCAP Safety Ratings: An Analysis of Vehicle Characteristics and ADAS Features Using Machine Learning
by: Kunwar, Raunak, et al.
Published: (2025)
by: Kunwar, Raunak, et al.
Published: (2025)
Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference
by: Walker, Benjamin, et al.
Published: (2024)
by: Walker, Benjamin, et al.
Published: (2024)
Using Sentiment and Technical Analysis to Predict Bitcoin with Machine Learning
by: Carosia, Arthur Emanuel de Oliveira
Published: (2024)
by: Carosia, Arthur Emanuel de Oliveira
Published: (2024)
Comparative Analysis of Polygon-Based and Global Machine Learning Models for Bus Occupancy Prediction
by: Azenkot, Daniel, et al.
Published: (2026)
by: Azenkot, Daniel, et al.
Published: (2026)
Data Fusion and Machine Learning for Ship Fuel Consumption Modelling -- A Case of Bulk Carrier Vessel
by: Mohamed, Abdella, et al.
Published: (2025)
by: Mohamed, Abdella, et al.
Published: (2025)
Frost Prediction Using Machine Learning Methods in Fars Province
by: Barooni, Milad, et al.
Published: (2024)
by: Barooni, Milad, et al.
Published: (2024)
Predicting the Containment Time of California Wildfires Using Machine Learning
by: Bhardwaj, Shashank
Published: (2025)
by: Bhardwaj, Shashank
Published: (2025)
Using Federated Machine Learning in Predictive Maintenance of Jet Engines
by: Barbosa, Asaph Matheus, et al.
Published: (2025)
by: Barbosa, Asaph Matheus, et al.
Published: (2025)
Enhancing Uncertain Demand Prediction in Hospitals Using Simple and Advanced Machine Learning
by: Hu, Annie, et al.
Published: (2024)
by: Hu, Annie, et al.
Published: (2024)
Fusion Matters: Length-Aware Analysis of Positional-Encoding Fusion in Transformers
by: Hallam, Mohamed Amine, et al.
Published: (2026)
by: Hallam, Mohamed Amine, et al.
Published: (2026)
Annealing Machine-assisted Learning of Graph Neural Network for Combinatorial Optimization
by: Loyola, Pablo, et al.
Published: (2025)
by: Loyola, Pablo, et al.
Published: (2025)
Employee Turnover Analysis Using Machine Learning Algorithms
by: Karimi, Mahyar, et al.
Published: (2024)
by: Karimi, Mahyar, et al.
Published: (2024)
Data-Error Scaling Laws in Machine Learning on Combinatorial Mutation-prone Sets: Proteins and Small Molecules
by: Doffini, Vanni, et al.
Published: (2024)
by: Doffini, Vanni, et al.
Published: (2024)
On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit
by: Wu, Xiaoyi, et al.
Published: (2025)
by: Wu, Xiaoyi, et al.
Published: (2025)
Predicting Diabetes with Machine Learning Analysis of Income and Health Factors
by: Horestani, Fariba Jafari, et al.
Published: (2024)
by: Horestani, Fariba Jafari, et al.
Published: (2024)
Similar Items
-
Bitcoin Price Prediction using Machine Learning and Combinatorial Fusion Analysis
by: Wu, Yuanhong, et al.
Published: (2026) -
Enhancing Sentiment Classification with Machine Learning and Combinatorial Fusion
by: Patten, Sean, et al.
Published: (2025) -
Towards Equitable ASD Diagnostics: A Comparative Study of Machine and Deep Learning Models Using Behavioral and Facial Data
by: Aledhari, Mohammed, et al.
Published: (2024) -
Mathematical Insights into Protein Architecture: Persistent Homology and Machine Learning Applied to the Flagellar Motor
by: Lamine, Zakaria, et al.
Published: (2025) -
Enhancing Value Alignment of LLMs with Multi-agent system and Combinatorial Fusion
by: Wu, Yuanhong, et al.
Published: (2026)