An AI agent doing the heavy lifting is great—until it deletes everything you worked on and admits to a 'catastrophic error in ...

Jacob Lopez has tremendous underlying metrics, and our A's vs. Rangers predictions expect positive regression to kick in ...

CodeRabbit combines code graph analysis and the power of large language models to identify issues in pull requests and ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an RShiny-based machine learning workbench was a game-changer, leading to ...

This research focuses on analyzing the robustness of different regression paradigms under regressand noise, which has not been examined in depth in the specialized literature. Furthermore, their ...

In today's AI-driven world, AI tools for data analysis have supercharged the ability to extract meaningful insights from vast ...

This meta-analysis from two nationwide cohorts indicates that SSRI and SNRI augmentation therapies for people with ...

Machine learning often lacks transparent performance indicators, especially in generating point predictions. This paper addresses this limitation through conformal prediction, a non-parametric ...