Researchers at the HSE University AI Research Centre and Faculty of Computer Science have proposed a novel algorithm for detecting structural changes in time series. The method uses a neural network to compare various segments of a series, enabling rapid detection of changes in its behaviour. The results of their work have been presented at the 26th International Conference on Artificial Intelligence and Statistics— AISTATS (A*).
Researchers at the HSE Faculty of Economic Sciences have studied the relationship between the changes in the bitcoin prices and the media attention to this cryptocurrency. The researchers examined the mentions of bitcoin in the media between 2017 and 2021 and built a mathematical model that revealed the strong relationship between media attention and bitcoin prices. The study was published in the Applied Stochastic Models in Business and Industry journal.
A group of scientists from the HSE Faculty of Computer Science has conducted a study on the ability of neural networks to detect humour. It turns out that for more reliable recognition, it’s necessary to change the approach to creating datasets on which neural networks are trained. The scientists presented these results at one of the world's most important conferences on natural language processing — EMNLP 2023.
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