Abstract. Real-world optimization problems are often subject to uncertainties, which can arise regarding stochastic model parameters, objective functions and decision variables. Th...
Background: Post-translational modifications (PTMs) have a key role in regulating cell functions. Consequently, identification of PTM sites has a significant impact on understandi...
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
This paper focuses on the challenge of building technical agents that act flexibly in modern computing and information environments. Flexibility is approached in terms of both cogn...
We propose and evaluate a novel approach for automatic parallelization. The approach uses traces as units of parallel work. We discuss the benefits and challenges of the use of t...