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Multivariate functional data analysis and machine learning methods for anomaly detection in water quality sensor data
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VR Cybersickness Classification Using Machine Learning Models on Open-Access EEG Datasets from the Human Vestibular Network
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Optimizing machine learning models for classification of stroke patients with epileptiform EEG pattern - the impact of dataset balancing techniques
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Well-being trajectories in breast cancer and their predictors - A machine-learning approach
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Weather Based Prediction Models for Disease and Pest Using Machine Learning - A Review
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An Approach to Trade-off Privacy and Classification Accuracy in Machine Learning Processes - Research report
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Machine Learning for Adverse Event Analysis in Healthcare - Identifying Opportunities and Conducting a Classification Study - Master’s thesis
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Segmentation Analysis for Brain Stroke Diagnosis Based on Susceptibility-Weighted Imaging (SWI) using Machine Learning - Automatic Stroke Segmentation and Classification Framework
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Enhancing Rock Mass Classification in TBM Tunnelling Using Ensemble Machine Learning Algorithms
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Towards Efficient Privacy-Preserving Machine Learning - A Systematic Review from Protocol, Model, and System Perspectives - Survey overview
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Synchronization of On-board Track Geometry Monitoring Signals - to Enable Machine Learning Predictions - Abstract
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Machine Learning Techniques to Forecast Fatal Accidents on Construction Sites in Brazil
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Proactive Risk Identification in New Zealand Infrastructure Projects - A Machine Learning Approach to Classifying Project Risk
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Machine Learning Driven Optimization of Complex Turbulent Flows - Thesis overview
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Flavescence dorèe leaf symptoms - Analysis using hyperspectral imaging and machine learning
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