Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
Background: Contact maps have been extensively used as a simplified representation of protein structures. They capture most important features of a protein's fold, being pref...
Jose M. Duarte, Rajagopal Sathyapriya, Henning Ste...
Ambient occlusion is a powerful technique that mimics indirect global illumination at a fraction of the cost. In this paper, we introduce a new ambient occlusion technique based o...
The problem of merging multiple sources of information is central in many information processing areas such as databases integrating problems, multiple criteria decision making, e...
In this paper, we analyze the impact of different automatic annotation methods on the performance of supervised approaches to the complex question answering problem (defined in th...