GitHub

AttachElPiloto/ml-disease-detection

. ├── main.py # Main orchestration script ├── models.py # Classification models (Decision Tree, XGBoost) ├── autoencoder.py # Autoencoder for dimensionality reduction ├── loading_data.py # Data ...
GitHub

rayenanane/turbofan_tp_student_package

This practical work (TP) teaches MLOps tools and practices using a real-world turbofan engine anomaly detection project. You will learn to: student-template ...
eLife

How Occam’s razor guides human decision-making

Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of ...
IEEE

Deep Learning for Anomaly Detection: A CNN-LSTM Autoencoder Approach

Abstract: Due to the significant growth of video surveillance installations in recent years, video anomaly detection has attracted considerable interest in the security sector. Detecting anomalies in ...