2005
Autores
Jorge, A; Torgo, L; Brazdil, P; Camacho, R; Gama, J;
Publicação
PKDD
Abstract
2005
Autores
Gama, J; Camacho, R; Brazdil, P; Jorge, A; Torgo, L;
Publicação
ECML
Abstract
2005
Autores
Jorge, A; Torgo, L; Brazdil, P; Camacho, R; Gama, J;
Publicação
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract
2005
Autores
Gama, J; Camacho, R; Brazdil, P; Jorge, A; Torgo, L;
Publicação
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Abstract
2012
Autores
Morgado, IC; Paiva, ACR; Faria, JP; Camacho, R;
Publicação
2012 1st International Workshop on Realizing AI Synergies in Software Engineering, RAISE 2012 - Proceedings
Abstract
This paper proposes a new approach to reduce the effort of building formal models representative of the structure and behaviour of Graphical User Interfaces (GUI). The main goal is to automatically extract the GUI model with a dynamic reverse engineering process, consisting in an exploration phase, that extracts information by interacting with the GUI, and in a model generation phase that, making use of machine learning techniques, uses the extracted information of the first step to generate a state-machine model of the GUI, including guard conditions to remove ambiguity in transitions. © 2012 IEEE.
2011
Autores
Rocha, A; Henriques, MR; Lopes, JC; Camacho, R; Klein, M; Modena, G; Van de Ven, P; McGovern, E; Tousset, E; Gauthier, T; Warmerdam, L;
Publicação
2012 25TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS)
Abstract
FP7 ICT4Depression project aims at providing a set of tools to,further improve both patient outcome and increase of access to treatment of the patients suffering from major depression. This article describes the Information Systems (IS) architecture used in the project. ICT4Depression uses a service oriented architecture as means of bringing together different kinds of information concerning the patient, the therapeutic modules he is advised to follow and the sensors used to assess his status.
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