Mohammadagha, M. (2025) Hyperparameter Optimization Strategies for Tree-Based Machine Learning Models Prediction A Comparative Study of Ada-Boost, Decision Trees, and Random Forest. Decision Trees, ...

We found 262 studies, many of which showed that deep learning can predict molecular alterations (eg, mutations, microsatellite instability [MSI], or both) directly from histopathological slides ...

This paper presents an innovative approach to enhancing resource utilization and model accuracy in decentralized federated learning (DFL) environments. We introduce a decentralized model-based ...

This deep learning-based approach significantly reduces the confusion between PE and fatty acids observed in conventional Raman spectral analyses of microplastics, thereby demonstrating its potential ...

Hi team, I'm new to DINO and want to fine-tune DINOv3 using self-supervised learning on my custom dataset. Hardware: 8 NVIDIA 4090 GPU. Goal: Continue training from pre-trained checkpoints. Use the ...