Tag: Machine Learning
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Multi-Class Classification for Polish Unfair Contract Terms Dataset in an Integrated Legal Technology, Linguistics and Machine Learning Approach
The present thesis is centred around the original dataset of unfair contract terms, constructed in the course of the thesis and based on the Polish Unfair Contract Terms Register maintained…
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Industrializing machine learning solutions: overview of MLOps practices for ML projects
This paper proposes an implementation process for data science projects that incorporates best practices from Agile and DevOps methodologies. Specifically, it focuses on the planning in a hypothesis-driven environment, the development process adjusted…
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AI-based Algorithmic Trading Strategies using Custom Quantitative Finance Indicators
The following paper describes three proprietary financial indicators based on technical analysis of stock market data, which form the basis of the algorithmic trading strategies discussed further. These strategies were developed…
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RNA-ligands interaction profiles as machine learning descriptors
Ribonucleic acids (RNAs) constitute a very important class of biological macromolecules, which regulate many key cellular processes. As RNAs are also involved in the pathogenesis of many diseases, they are becoming attractive targets…
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Automatic court judgment similarity analysis
The first goal of this thesis was to test the feasibility of using word embeddings to measure semantic similarity of long legal texts. The solution uses a text corpus of publicly available judgments…
