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Found 6 papers, 5 papers with code
A Comprehensive Survey of Evaluation Techniques for Recommendation Systems
This work is to aid researchers and practitioners in critically assessing recommendation systems and fosters the development of more nuanced, effective, and economically viable personalization strategies.
A Comparative Study of Text Embedding Models for Semantic Text Similarity in Bug Reports
Bug reports are an essential aspect of software development, and it is crucial to identify and resolve them quickly to ensure the consistent functioning of software systems.
Leveraging Generative AI Models for Synthetic Data Generation in Healthcare: Balancing Research and Privacy
The widespread adoption of electronic health records and digital healthcare data has created a demand for data-driven insights to enhance patient outcomes, diagnostics, and treatments.
Auto-labelling of Bug Report using Natural Language Processing
The exercise of detecting similar bug reports in bug tracking systems is known as duplicate bug report detection.
A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting
Time Series Forecasting has been an active area of research due to its many applications ranging from network usage prediction, resource allocation, anomaly detection, and predictive maintenance.
An Overview of Deep Learning Architectures in Few-Shot Learning Domain
In this paper, we have reviewed some of the well-known deep learning-based approaches towards few-shot learning.
