Abstract. In this paper, we present a 3D reconstruction approach of a liver tumour model from a sequence of 2D MR parallel cross-sections, and the integration of this reconstructed...
Alexandra Branzan Albu, Jean-Marc Schwartz, Denis ...
Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Transaction level models (TLMs) can be constructed at t levels of abstraction, denoted as untimed (UT), cycle-approximate (CX), and cycle accurate (CA) in this paper. The choice o...
In this work we present a new methodology for structure and parameter estimation in cell systems biology modelling. Our modelling framework is based on P systems, an unconl comput...
Abstract--Domain knowledge for web applications is currently being made available as domain ontology with the advent of the semantic web, in which semantics govern relationships am...