IEEE

Enhancing Privacy-Preserved Iris Recognition in Consumer Electronics: A Soft Actor-Critic and GAN-Based Digital Forensic Framework With Bayesian Hyperparameter Optimization

Abstract: The widespread deployment of iris recognition (IR) systems in consumer electronics has raised pressing concerns related to digital forensics, biometric integrity, and user privacy. This ...
Search Engine Land

Image optimization for SEO: A complete guide for beginners

You might be staring at your SEO checklist in disbelief right now. Rightfully so. You’re already optimized the metadata, headers, internal links, copy, and even done some technical setup for every ...
GitHub

An AutoML framework for classical machine learning algorithms, automating model selection and hyperparameter tuning through Bayesian optimization, portfolio-based meta-learning ...

Start a Ray head node Connect and start Ray worker nodes via SSH Activate virtual environments and configure PYTHONPATH on all nodes 📌 Before running the script, ensure passwordless SSH access from ...
Frontiers

Application of augmented reality and surgical robotic navigation in total hip and knee replacement

With advancements in computer vision, artificial intelligence, and other cutting-edge science and technologies, the focus of modern surgical technology has increasingly shifted towards intelligent, ...
IEEE

Automated Class Imbalance Learning via Few-shot Multi-Objective Bayesian Optimization with Deep Kernel Gaussian Processes

Abstract: Automated Class Imbalance Learning (AutoCIL) is an emerging paradigm that leverages Combined Algorithm Selection and Hyperparameter Optimization (CASH) to automate the configuration of ...
GitHub

[FR] Native Bayesian Hyperparameter Optimization Integration

Add native support for Bayesian hyperparameter optimization directly within MLflow, eliminating the need for external libraries like Optuna or Hyperopt. This feature would provide a deeply integrated ...