6 citations · 8 across the 4 of their papers we have counts for
4 papers
The Battle of Information Representations: Comparing Sentiment and Semantic Features for Forecasting Market Trends
Andrei Zaichenko, Aleksei Kazakov, Elizaveta Kovtun +1
The study of the stock market with the attraction of machine learning approaches is a major direction for revealing hidden market regularities. This knowledge contributes to a prof…
Machine learning-based detection of cardiovascular disease using ECG signals: performance vs. complexity
Huy Pham, Konstantin Egorov, Alexey Kazakov +1
Cardiovascular disease remains a significant problem in modern society. Among non-invasive techniques, the electrocardiogram (ECG) is one of the most reliable methods for detecting…
New drugs and stock market: how to predict pharma market reaction to clinical trial announcements
Semen Budennyy, Alexey Kazakov, Elizaveta Kovtun +1
Pharmaceutical companies operate in a strictly regulated and highly risky environment in which a single slip can lead to serious financial implications. Accordingly, the announceme…
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI
Semen Budennyy, Vladimir Lazarev, Nikita Zakharenko +9
The size and complexity of deep neural networks continue to grow exponentially, significantly increasing energy consumption for training and inference by these models. We introduce…