State-of-the-art machine learning/AI systems consist of complex pipelines with choices of hyperparameters, models and configuration details that need to be tuned for optimal performance. The resulting ...
1 National and Kapodistrian University of Athens, Greece (k.nikoletos@di.uoa.gr) 2 Harokopio University of Athens, Greece (vefthym@hua.gr) 3 National and Kapodistrian University of Athens, Greece ...
Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...
A new study warns that today’s cybersecurity systems are falling behind as modern networks face increasing volumes of sophisticated attacks, especially in Internet of Things environments where devices ...
ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...
Objective: To develop an automated machine learning (AutoML)-based prognostic prediction model and visualization system for autologous costal cartilage rhinoplasty (ACCR), addressing the clinical ...
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 ...
Automation is the king of modern technologies. Or at least one of them. Most business tasks are subject to automation in one way or another. This is especially true for routine and repetitive ...
Artificial intelligence (AI) has been increasingly applied to solve complex real-world problems. One of the most significant challenges in AI lies in selecting and fine-t...Show More Artificial ...
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