Abstract: In the last decade, with the increase in cyberattacks the privacy of network traffic has become a critical issue. Currently, simple network intrusion detection techniques are inefficient in ...

Abstract: Random Forests are renowned for their good performance on tabular data and are widely used in many real-life tasks. However, the ensemble mechanism sacrifices interpretability for higher ...

In this video, Thanh shares his journey of two years living deep in the forests of northern Vietnam. Experience the challenges and rewards of a simple rural lifestyle, from harvesting giant custard ...

This project implements a Federated Random Forest (FRF) using the federated learning library Flower and the sklearn random forest classifier. It is demonstrated through three clients as an example.

ABSTRACT: The Efficient Market Hypothesis postulates that stock prices are unpredictable and complex, so they are challenging to forecast. However, this study demonstrates that it is possible to ...

In this video, we build a peaceful tree hut deep in the forest using only basic tools and natural materials. This cozy retreat offers a quiet space to relax, connect with nature, and enjoy simple ...

ABSTRACT: The paper reviews some of the major issues that occur in the application of big data analytics and predictive modeling in health, as obtained from the original study. It highlights ...

Brighton boss Fabian Hurzeler admits he sees Nottingham Forest as an example to follow. Brighton meet third-place Forest in today's early kickoff. “We can be there but the truth is we are not there,” ...

Introduction: Herbicides are an important technology in the Integrated Weed Management (IWM) tool box aiming to control weeds in modern agriculture. Prediction tools to evaluate the risk of resistance ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...