Researchers combined a low-cost IoT monitoring prototype with a Bayesian-optimized XGBoost model that achieved the highest ...
IDS, an intrusion detection framework that pairs a Concrete Autoencoder-based feature selection mechanism with Bayesian ...
Acute kidney injury (AKI) is an important postoperative complication in older patients undergoing surgery for intertrochanteric femoral fracture. This study aimed to develop and internally evaluate an ...
When building machine learning models with moderate to high complexity, there is an ample range of model parameters that are not learned from data, but instead must be set by us a priori: these are ...
This webinar introduced healthcare researchers to Bayesian meta-analysis methods, challenging the perception that these methods are inaccessible to non-statistical researchers. The session ...
Note: CRAN archived this package on 2026-01-12 ("issues were not corrected despite reminders") — the fatal check failure was a vignette re-build error in ...
Your customer churn model hits 0.93 AUC on your laptop. The notebook looks clean, the feature engineering is tight, and the product team wants predictions served behind an API by next sprint. Then ...
Final Year CSE Project - An intelligent Network Intrusion Detection System combining Machine Learning, Deep Learning, and Explainable AI for real-time threat detection. This project develops an ...
Cardiovascular diseases (CVDs) are complex, multifactorial conditions that require personalized assessment and treatment. Advancements in multi-omics technologies, most importantly whole-genome ...