At first glance, it looks like the start of a human pregnancy: A ball-shaped embryo presses into the lining of the uterus ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...
This repository contains various machine learning implementations and examples ranging from classic reinforcement learning (Q-Learning) to advanced deep learning techniques (CNN, LSTM, GAN, GNN). Each ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
Abstract: As an emerging machine learning task, high-dimensional hyperparameter optimization (HO) aims at enhancing traditional deep learning models by simultaneously optimizing the neural networks’ ...
Enhanced DNS Cybersecurity: Optimization of XGBoost Using Automated Hyperparameter Tuning via Optuna
Abstract: This paper presents an application of using Optuna for hyperparameter optimization in a context of improving the performance of an XGBoost model. The starting point from the baseline XGBoost ...
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