Introduction A few years ago, I was solely responsible for an in-house demand forecasting model. The scores on the validation ...
Introduction A few years ago, when I was tasked with improving the recommendation system at my company, I came to a complete ...
I developed this research to investigate whether persistent-homology descriptors derived from CodeBERT representations can distinguish secure from vulnerable implementations of the same Python/Flask ...
Our NER pipeline, despite its simplicity in setup, did a pretty good job.
Self-supervised learning creates training targets from the structure of unlabeled data, allowing models to learn ...
A Graduation Project focused on Parkinson's Disease detection and hand tremor analysis using Machine Learning, Deep Learning, sensor data, and real-time signal processing. The project contains ...
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