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näkemys - Financial data analysis
Detecting Financial Opportunities in Micro-blogging Data Using a Stacked Classification System
A novel three-layer stacked Machine Learning system to detect financial opportunities, i.e. positive user speculations and forecasts about stock market assets, in micro-blogging data with high precision.
Universal Representations for Financial Transactional Data: Capturing Local, Global, and External Contexts
A representation learning framework that captures diverse local and global properties of financial transactional data, and incorporates external context to further improve the quality of the representations.
Efficient Missing Data Imputation and AI-Driven Pipeline for Accurate Bankruptcy Prediction
A novel method for missing data imputation using granular semantics and an AI-driven pipeline to accurately predict bankruptcy in large, high-dimensional, and imbalanced financial datasets.
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