D
Daniel de Santos-Sierra
Researcher at Technical University of Madrid
Publications - 7
Citations - 110
Daniel de Santos-Sierra is an academic researcher from Technical University of Madrid. The author has contributed to research in topics: Cultured neuronal network & Graph (abstract data type). The author has an hindex of 5, co-authored 7 publications receiving 98 citations.
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Journal ArticleDOI
Emergence of small-world anatomical networks in self-organizing clustered neuronal cultures.
Daniel de Santos-Sierra,Irene Sendiña-Nadal,Irene Sendiña-Nadal,Inmaculada Leyva,Inmaculada Leyva,Juan A. Almendral,Juan A. Almendral,Sarit Anava,Amir Ayali,David Papo,Stefano Boccaletti +10 more
TL;DR: The results point to the existence of a particular state corresponding to a small-world network configuration, in which several relevant graph's micro- and meso-scale properties emerge.
Proceedings ArticleDOI
Supervised classification methods applied to Keystroke Dynamics through Mobile Devices
Ignacio de Mendizabal-Vazquez,Daniel de Santos-Sierra,Javier Guerra-Casanova,Carmen Sanchez-Avila +3 more
TL;DR: It is concluded that biometric systems through keystroke dynamics with 4-digit PIN are promising, and supervised classification methods are widely used in different kind of biometrics.
Journal ArticleDOI
Graph-based unsupervised segmentation algorithm for cultured neuronal networks' structure characterization and modeling.
Daniel de Santos-Sierra,Irene Sendiña-Nadal,Irene Sendiña-Nadal,Inmaculada Leyva,Inmaculada Leyva,Juan A. Almendral,Juan A. Almendral,Amir Ayali,Sarit Anava,Carmen Sanchez-Avila,Stefano Boccaletti +10 more
TL;DR: Large scale phase‐contrast images taken at high resolution through the life of a cultured neuronal network are analyzed by a graph‐based unsupervised segmentation algorithm with a very low computational cost, scaling linearly with the image size.
Journal ArticleDOI
gb2sμMOD: A MUltiMODal biometric video database using visible and IR light
Belen Rios-Sanchez,Miguel F. Arriaga-Gómez,Javier Guerra-Casanova,Daniel de Santos-Sierra,Ignacio de Mendizabal-Vazquez,Gonzalo Bailador,Carmen Sanchez-Avila +6 more
TL;DR: A new realistic multimodal database composed of 8,160 hand, iris and face videos has been captured and performance results are provided for several biometric traits in mono- and multi- modalities that can be used as a baseline.
Proceedings ArticleDOI
Low computational cost multilayer graph-based segmentation algorithms for hand recognition on mobile phones
TL;DR: The results show that the optimized implementation of the proposed algorithm makes this a powerful tool with high accuracy and low computational cost, improving the accuracy and the execution time of the two other algorithms.