--> Algorithm analysis is an important part of computational complexity theory, which provides theoretical estimation for the required resources of an algorithm to solve a specific computational ...

Clustering algorithms have emerged as an alternative powerful meta-learning tool to accurately analyze the massive volume of data generated by modern applications. In particular, their main goal is to ...

The algorithms considered in this study represent substantially different design choices. A database formed by simulated and real hyperspectral data collected by the Airborne Visible and Infrared ...

Low-rank priors, a fundamental assumption for dimensionality reduction, have attracted a lot of attention in the last decade. They have wide applications in machine learning, data analysis, ...

Adoption of an algorithmic approach to treatment decision making has been shown to improve childhood tuberculosis case detection and treatment access at primary health-care settings. 7,8 However, ...

Opinion: Akerman's Melissa Koch explains why the quality of data in legal artificial intelligence matters more than the ...

These invisible digital forces, powered by data science, influence everything from the shows Netflix recommends to the ads that follow you across the internet. Recommendation systems, social media ...

Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the ...