Artículos Investigación

Recurrent neural network pruning using dynamical systems and iterative fine-tuning

Christos Chatzikonstantinou, Dimitrios Konstantinidis, Kosmas Dimitropoulos and Petros Daras.   Network pruning techniques are widely employed to reduce the memory requirements and increase the inference speed of neural networks. This work proposes a novel RNN pruning method that considers the RNN weight matrices as collections of time-evolving signals. Such signals that represent weight vectors can …

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NAct: The Nutrition and Activity Ontology

D. Tsatsou, Elena Lalama, S. L. Wilson-Barnes, K. Hart, V. Cornelissen, R. Buys, I. Pagkalos, S. Balula Dias, K. Dimitropoulos, P. Daras. NAct: The Nutrition & Activity Ontology for healthy living. Formal Ontology in Information Systems: Proceedings of the 12th International Conference (FOIS 2021). IOS Press, 2021.   The Nutrition and Activity Ontology (NAct) is …

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Personalised nutrition for healthy living: The PROTEIN project

S. Wilson-Barnes, L. P. Gymnopoulos, K. Dimitropoulos, V. Solachidis, K. Rouskas, D. Russell, Y. Oikonomidis, S. Hadjidimitriou, J. María Botana, B. Brkic, E. Mantovani, S. Gravina, G. Telo, E. Lalama, R. Buys, M. Hassapidou, S. Balula Dias, A. Batista, L. Perone, S. Bryant, S. Maas, S. Cobello, P. Bacelar, S. A. Lanham-New and K. Hart. …

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Noise-Assisted Multivariate variational mode decomposition

Charilaos A. Zisou, Georgios K. Apostolidis, Leontios J. Hadjileontiadis The variational mode decomposition (VMD) is a widely applied optimization-based method, which analyzes nonstationary signals concurrently. Correspondingly, its recently proposed multivariate extension, i.e., MVMD, has shown great potentials in analyzing multichannel signals. However, the requirement of presetting the number of extracted components K diminishes the analytic …

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