Background: Reliable prediction of antibody, or B-cell, epitopes remains challenging yet highly desirable for the design of vaccines and immunodiagnostics. A correlation between a...
Julia V. Ponomarenko, Huynh-Hoa Bui, Wei Li, Nicho...
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
A growing number of applications depend on accurate and fast 3D scene analysis. Examples are model and lightfield acquisition, collision prevention, mixed reality, and gesture re...
Andreas Kolb, Erhardt Barth, Reinhard Koch, Rasmus...
Trust plays important roles in diverse decentralized environments, including our society at large. Computational trust models help to, for instance, guide users’ judgements in o...
Xin Liu, Anwitaman Datta, Krzysztof Rzadca, Ee-Pen...
Co-learning is a model involving agents from a large population, who interact by playing a fixed game and update their behaviour based on previous experience and the outcome of th...
Martin E. Dyer, Leslie Ann Goldberg, Catherine S. ...