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Found 6 papers, 1 papers with code
The Battle of Information Representations: Comparing Sentiment and Semantic Features for Forecasting Market Trends
To start, we demonstrate the connection of tweet sentiments with the volatility of companies' stock prices.
Machine learning-based detection of cardiovascular disease using ECG signals: performance vs. complexity
Cardiovascular disease remains a significant problem in modern society.
Relationships between patenting trends and research activity for green energy technologies
Our results show that the advancement of research in all three areas of eco-innovation does not automatically lead to the increase in the number of patents.
New drugs and stock market: how to predict pharma market reaction to clinical trial announcements
The first factor is the drug portfolio size of the company, indicating the greater susceptibility to an announcement in the case of small drug diversification.
Anomaly segmentation model for defects detection in electroluminescence images of heterojunction solar cells
The model was also tested on the open ELPV dataset and demonstrates stable performance with accuracy 94. 6% and F1 score 91. 1%.
Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI
The size and complexity of deep neural networks continue to grow exponentially, significantly increasing energy consumption for training and inference by these models.
