Now showing items 1-20 of 125

    • 50 years of artificial intelligence: a neuronal approach 

      Fernández Caballero, Antonio; Deco, Gustavo; Mira Mira, José (2008)
      Recently, the 50th anniversary of the birth of Artificial Intelligence (AI) has been celebrated worldwide, and about 65 years ago (1943) its foundational works on Biocybernetics and Bionics were published due to movements ...
    • A Compositional Approach for Complex Event Pattern Modeling and Transformation to Colored Petri Nets with Black Sequencing Transitions 

      Valero, Valentín; Diaz, Gregorio; Boubeta-Puig, Juan; Maciâ, Hermenegilda; Brazález, Enrique (Institute of Electrical and Electronics Engineers, 2021-03)
      Prioritized Colored Petri Nets (PCPNs) are a well-known extension of plain Petri nets in which transitions can have priorities and the tokens on the places carry data information. In this paper, we propose an extension of ...
    • A historical perspective of algorithmic lateral inhibition and accumulative computation in computer vision 

      Delgado García, Ana E.; Carmona, Enrique; Fernández Caballero, Antonio; López Bonal, María Teresa (2011)
      Certainly, one of the prominent ideas of Professor José Mira was that it is absolutely mandatory to specify the mechanisms and/or processes underlying each task and inference mentioned in an architecture in order to make ...
    • A meta-ontological framework for multi-agent systems design 

      Sokolova, Marina; Fernández Caballero, Antonio (2007)
      The paper introduces an approach to using a meta-ontology framework for complex multi-agent systems design, and illustrates it in an application related to ecological-medical issues. The described shared ontology is pooled ...
    • A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity 

      Cozar del Olmo, Javier; Fernandez Hilario, Alberto; Herrera, Francisco; Gámez, Jose (Institute of Electrical and Electronics Engineers, 2019-04)
      There is a wide variety of studies that propose different classifiers to solve a large amount of problems in distinct classification scenarios. The no free lunch theorem states that if we use a big enough set of varied ...
    • A methodological approach to mining and simulating data in complex information systems 

      Fernández Caballero, Antonio; Sokolova, Marina (2013)
      Complex emergent systems are known to be ill-managed because of their complex nature. This article introduces a novel interdisciplinary approach towards their study. In this sense, the DeciMaS methodological approach to ...
    • A model of neural inspiration for local accumulative computation 

      López Bonal, María Teresa; Fernández Caballero, Antonio; Delgado García, Ana E.; Fernández Graciani, Miguel Ángel; Mira Mira, José (2003)
      This paper explores the computational capacity of a novel local computational model that expands the conventional analogical and logical dynamic neural models, based on the charge and discharge of a capacity or in the use ...
    • A multi-agent system architecture for the adaptation of user interfaces 

      Molina Massó, José Pascual; López Jaquero, Víctor Manuel; Montero Simarro, Francisco; Fernández Caballero, Antonio; González López, Pascual (2005)
      Nowadays the design of user interfaces has become a discipline of great importance in Software Engineering, mainly due to the increasing impact that a high quality user interface has in the success of a software ...
    • A multi-modal approach for activity classification and fall detection 

      Castillo Montoya, José Carlos; Fernández Caballero, Antonio; Carneiro, Davide; Serrano Cuerda, Juan; Neves, José; Novais, Paulo (2014)
      The society is changing towards a new paradigm in which an increasing number of old adults live alone. In parallel, the incidence of conditions that affect mobility and independence is also rising as a consequence of a ...
    • A multisensory monitoring and interpretation framework based on the model-view-controller paradigm 

      López Bonal, María Teresa; Martínez, Rafael; Castillo Montoya, José Carlos; Rivas Casado, Ángel; Fernández Caballero, Antonio (2011)
      This paper proposes a monitoring and interpretation framework inspired in the Model?View?Controller (MVC) paradigm. Indeed, the paper proposes the extension of the traditional MVC paradigm to make it more flexible in ...
    • A proposal for local and global human activities identification 

      Castillo Montoya, José Carlos; Fernández Caballero, Antonio; Rodríguez Sánchez, José María (2010)
      There are a number of solutions to automate the monotonous task of looking at a monitor to find suspicious behaviors in video surveillance scenarios. Detecting strange objects and intruders, or tracking people and objects, ...
    • A seamless development process of adaptive user interfaces explicitly based on usability properties 

      Fernández Caballero, Antonio; González López, Pascual; López Jaquero, Víctor Manuel; Montero Simarro, Francisco; Molina Massó, José Pascual (Springer-Verlag, 2005)
      This work is aimed at the specification of usable adaptive user interfaces. A model-based method is used, which have been proved useful to address this task. A tool is introduced for the specification of user interfaces ...
    • A survey of video datasets for human action and activity recognition 

      Chaquet, José M.; Fernández Caballero, Antonio; Carmona Suárez, Enrique (2013)
      Vision-based human action and activity recognition has an increasing importance among the computer vision community with applications to visual surveillance, video retrieval and human?computer interaction. In recent years, ...
    • Accumulative computation method for motion features extraction in active selective visual attention 

      López Valles, José María; Fernández Graciani, Miguel Ángel; Mira Mira, José; López Bonal, María Teresa; Delgado García, Ana Esperanza; Fernández Caballero, Antonio (2005)
      A new method for active visual attention is briefly introduced in this paper. The method extracts motion and shape features from indefinite image sequences, and integrates these features to segment the input scene. The aim ...
    • Adapting the CMIM algorithm for multi-label feature selection. A comparison with existing methods 

      Bermejo, Pablo; Gámez, Jose; Puerta, Jose M. (Wiley, 2018-02-18)
      The multi-label paradigm has recently attracted the attention of the machine learning community, multi-label problems being those which do not have only one class but several binomial classes instead. Although intensive ...
    • Adaptive interaction multi-agent systems in e-learning/e-teaching on the web 

      Fernández Caballero, Antonio; Montero Simarro, Francisco; González López, Pascual; López Jaquero, Víctor Manuel (2003)
      In this paper we propose to include two up-to-date separate concepts, namely social computing and usability metrics, in intelligent interaction agents to enhance a user-centred, adaptive human-computer interaction (HCI) ...
    • Agent-based decision making through intelligent knowledge discovery 

      Fernández Caballero, Antonio; Sokolova, Marina (2008)
      Monitoring of negative effects of urban pollution and real-time decision making allow to clarify consequences upon human health. Large amounts of raw data information describe this situation, and to get knowledge from it, ...
    • Agent-based development of multisensory monitoring systems 

      Gascueña Noheda, José Manuel; Fernández Caballero, Antonio; Navarro Martínez, Elena María; Serrano Cuerda, J.; Cano González, F.A. (2011)
      This paper introduces the use of the VigilAgent agent methodology to develop monitoring systems. This work is based on the suitability of the specific characteristics of agency for developing monitoring systems. It is usual ...
    • Agent-based modeling of a mobile robot to detect and follow humans. 

      Gascueña Noheda, José Manuel; Fernández Caballero, Antonio (2009)
      This paper introduces a multi-agent system (MAS) approach using the detailed process provided by Prometheus methodology for the design of a moving robot application for the detection and following of humans. Our conjecture ...
    • Agent-oriented modeling and development of a person-following mobile robot 

      Gascueña Noheda, José Manuel; Fernández Caballero, Antonio (2011)
      This paper introduces a multi-agent system (MAS) approach using the detailed process provided by Prometheus methodology for the design of a moving robot application for the detection and following of humans. Our conjecture ...