Camelia Chira

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In recent years, mobile devices such as smartphones, tablets and wearables have become the new paradigm of user–computer interaction. The increasing use and adoption of such devices is also leading to an increased number of potential security risks. The spread of mobile malware, particularly on popular and open platforms such as Android, has become a major(More)
The discovery of communities in complex networks is a challenging problem with various applications in the real world. Classic examples of networks include transport networks, the immune system, human brain and social networks. Given a certain grouping of nodes into communities, a good measure is needed to evaluate the quality of the community structure(More)
Evolve computing is a generic name given to the resolution of computational problems with base in models of an evolutionary process. Most of the evolutionary algorithms propose biological paradigms, and concepts of natural selection, mutation, and reproduction. Nevertheless other paradigms exist and can be adopted in the creation of evolutionary algorithms.(More)
Existing approaches to traffic assignment focus mainly on approximating the user equilibrium. However, nowadays, with the increasing number of traffic information reaching drivers, traffic authorities have a unique opportunity to try to recommend route choices that are as much as possible aligned with the system optimum. In this paper, we formulate traffic(More)
Classification problems for imbalanced data distribution pose many challenges to standard learning algorithms as at least one class is under-represented relative to others. In this paper, we present a new approach to deal with this kind of problems, in which a multi-objective evolutionary algorithm is engaged to detect the best cost matrix to be further(More)
Traditionally, traffic assignment allocates trips to links in a traffic network. Nowadays it is also useful to recommend routes. Here, it is interesting to recommend routes that are as close as possible to the system optimum, while also considering the user equilibrium. To compute an approximation of such an assignment, we use a hybrid approach in which an(More)
Traffic assignment aims to assign trips in a road network such that the travel time of each car is minimized given multiple alternative routes and origin-destination pairs. The number of alternative routes between two points considered in traffic assignment is an important factor in discovering an optimal distribution of cars to routes. This paper(More)