Visualitza per autor "Sukno, Federico M."

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  • Sukno, Federico M.; Domínguez Bajo, Mónica; Ruiz, Adrià; Schiller, Dominik; Lingenfelser, Florian; Pragst, Louisa; Kamateri, Eleni; Vrochidis, Stefanos (ACM Association for Computer Machinery, 2016)
    The development of conversational agents with human interaction capabilities requires advanced affective state recognition integrating non-verbal cues from the different modalities constituting what in human communication ...
  • Fernandez-Lopez, Adriana; Sukno, Federico M. (SCITEPRESS, 2017)
    Speech is the most common communication method between humans and involves the perception of both auditory and visual channels. Automatic speech recognition focuses on interpreting the audio signals, but it has been ...
  • Hoogendoorn, Corné; Sukno, Federico M.; Ordás, Sebastián; Frangi Caregnato, Alejandro (Springer, 2009)
    In this work we describe the usage of bilinear statistical models as a means of factoring the shape variability into two components attributed to inter-subject variation and to the intrinsic dynamics of the human heart. ...
  • Wanner, Leo; André, Elisabeth; Blat, Josep; Dasioupoulou, Stamatia; Farrús, Mireia; Fraga, Thiago; Kamateri, Eleni; Lingenfelserc, Florian; Llorach, Gerard; Martínez, Oriol; Meditskose, Georgios; Mille, Simon; Minker, Wolfgang; Pragst, Louisa; Schiller, Dominik; Stam, Andries; Stellingwerff, Ludo; Sukno, Federico M.; Vieru, Bianca; Vrochidis, Stefanos (Elsevier, 2017)
    We present work in progress on an intelligent embodied conversation agent that is supposed to act as a social companion with linguistic and emotional competence in the context of basic and health care. The core of the agent ...
  • Ruiz, Adrià; Martinez, Oriol; Binefa i Valls, Xavier; Sukno, Federico M. (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    An essential issue when training and validating computer vision systems for affect analysis is how to obtain reliable ground-truth labels from a pool of subjective annotations. In this paper, we address this problem ...
  • Ortega-Garcia, Javier; Fierrez, Julian; Alonso-Fernández, Fernando; Galbally, Javier; Freire, Manuel R.; González-Rodríguez, Joaquín; García-Mateo, Carmen; Alba-Castro, José-Luís; González-Agulla, Elisardo; Otero-Muras, Enrique; García-Salicetti, Sonia; Allano, Lorene; Ly-Van, Bao; Dorizzi, Bernadette; Kittler, Josef; Bourlai, Thirimachos; Poh, Norman; Deravi, Farzin; Ng, Ming W.R.; Fairhurst, Michael; Hennebert, Jean; Humm, Andreas; Tistarelli, Massimo; Brodo, Linda; Richiardi, Jonas; Drygajlo, Andrzej; Ganster, Harald; Sukno, Federico M.; Pavani, Sri-Kaushik; Frangi Caregnato, Alejandro; Akarun, Lale; Savran, Arman (Institute of Electrical and Electronics Engineers (IEEE), 2010)
    A new multimodal biometric database designed and acquired within the framework of the European BioSecure Network of Excellence is presented. It is comprised of more than 600 individuals acquired simultaneously in three ...
  • Wanner, Leo; Blat, Josep; Dasiopoulou, Stamatia; Domínguez Bajo, Mónica; Llorach, Gerard; Mille, Simon; Sukno, Federico M.; Kamateri, Eleni; Kompatsiaris, Ioannis; Vrochidis, Stefanos; André, Elisabeth; Lingenfelser, Florian; Mehlmann, Gregor; Stam, Andries; Stellingwerff, Ludo; Lamel, Lori; Vieru, Bianca; Minker, Wolfgang; Pragst, Louisa; Ultes, Stefan (ACM Association for Computer Machinery, 2016)
    We present work in progress on an intelligent embodied conversation agent in the basic care and healthcare domain. In contrast to most of the existing agents, the presented agent is aimed to have linguistic cultural, social ...
  • Fernandez-Lopez, Adriana; Martinez, Oriol; Sukno, Federico M. (Institute of Electrical and Electronics Engineers (IEEE), 2017)
    Speech is the most used communication method between humans and it involves the perception of auditory and visual channels. Automatic speech recognition focuses on interpreting the audio signals, although the video can ...