Isel Grau

Learn More
The complex dynamics of Human Immunodeficiency Virus leads to serious problems on predicting the drug resistance. Several machine learning techniques have been proposed for modelling this classification problem, but most of them are difficult to aggregate and interpret. In fact, in last years the protein modelling of this virus has become, from diverse(More)
Several antiviral drugs have been approved for treating HIV infected patients. These drugs inhibit the function of proteins which are essential in the virus life cycle, thus preventing the virus reproduction. However, due to its high mutation rate the HIV is capable to develop resistance to administered therapy. For this reason, it is important to study the(More)
The high mutability of Human Immunodeficiency Virus (HIV) leads to serious problems on designing efficient antiviral drugs. In fact, in last years the study of drug resistance prediction for HIV mutations has become an open problem for researchers. Several machine learning techniques have been proposed for modelling this sequence classification problem, but(More)
In standard PSO, the particle swarm frequently gets attracted by suboptimal solutions, causing premature convergence of the algorithm and swarm stagnation. Once the particles have been attracted to a local optimum, they continue the search process within a minuscule region of the solution space, and escaping from this local optimum may be difficult. This(More)
We present an interactive demo that illustrates the performance of our multi-agent-based system for trading 'green' energy. The system implements the NRG-X-Change concept and uses real-life data for energy consumption. NRG-X-Change encourages prosumers to locally trade their excess of energy while payments are carried out using NRGcoins, which is a novel(More)
The computational modeling of HIV-1proteins has become a useful framework allowing understanding the virus behavior (e.g. mutational patterns, replication process or resistance mechanism). For instance, predicting the drug resistance from genotype means to solve a complicated sequence classification problem. In such kind of problems proper feature selection(More)