A team of students from the LSU Shreveport Artificial Intelligence and Machine Learning Lab won first place at the national ...

Explore 20 powerful activation functions for deep neural networks using Python! From ReLU and ELU to Sigmoid and Cosine, ...

What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

This paper proposes a new physics-guided machine learning approach that incorporates the scientific knowledge in physics-based models into machine learning models. Physics-based models are widely used ...

Image processing has emerged as a crucial technology in agriculture, facilitating tasks such as crop monitoring, disease detection, and yield estimation. Python, with its extensive libraries and tools ...

Herein, we employed machine-learning-based approaches to analyze clinically relevant data on patient ovarian tumors to identify potential clinical biomarkers that may correlate better with ovarian ...

This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as ...