Publications related to XGBoost

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XGBoost

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Gradient boosting with extreme-value theory for wildfire prediction

Enhancing Epileptic Seizure Detection with EEG Feature Embeddings

Spatially adaptive machine learning models for predicting water quality in Hong Kong

Fast and accurate decoding of finger movements from ECoG through Riemannian features and modern machine learning techniques

Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery

Gradient-based Methods for Deep Model Interpretability

Accelerating Gradient Boosting Machines

Cognitive workload monitoring in virtual reality based rescue missions with drones

Noninvasive estimation of aortic hemodynamics and cardiac contractility using machine learning

EMPIRICAL EVALUATION AND COMBINATION OF PUNCTUATION PREDICTION MODELS APPLIED TO BROADCAST NEWS