Materials of the paper F. Wilhelmi, S. Szott, K. Kosek-Szott and B. Bellalta, "Machine Learning and Wi-Fi: Unveiling the Path Toward AI/ML-Native IEEE 802.11 Networks ...

This teaching package contains modular contents for the introduction of the fundamentals of Neural Networks. The package consists of a series of MATLAB Live Scripts with complementary PowerPoint ...

It is hard to imagine anything more fascinating than automated systems that improve their own performance. The study of learning from data is commercially and scientifically important. This course is ...

Money may not grow on trees, but it does grow in GitHub repos. Open source projects produce the most valuable and sophisticated software on the planet, free for the taking, dramatically lowering the ...

In recent years, multivariate pattern analysis (MVPA) has been hugely beneficial for cognitive neuroscience by making new experiment designs possible and by increasing the inferential power of ...

Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of ...

Quantitative measurement of the behavior of model organisms is an important tool for understanding genetics, evolution, development and the nervous system, and it has led to insights into human ...