Andre Python

Fine-tuning of lightweight large language models for sentiment classification on heterogeneous financial textual data

Large language models (LLMs) play an increasingly important role in financial markets analysis by capturing signals from complex and heterogeneous textual data sources, such as tweets, news...

Extending regionalization algorithms to explore spatial process heterogeneity

In spatial regression models, spatial heterogeneity may be considered with either continuous or discrete specifications. The latter is related to delineation of spatially connected regions with...

QuCT: A Framework for Analyzing Quantum Circuit by Extracting Contextual and Topological Features

HyQSAT: A Hybrid Approach for 3-SAT Problems by Integrating Quantum Annealer with CDCL