Vincent Canals

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 18

Top Topics

Hardware Implementation

Reservoir Computing

Top Venues

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

Josep L. Rosselló, Joan Font-Rosselló, Christiam F. Frasser, Alejandro Morán, Erik S. Skibinsky-Gitlin, Vincent Canals, Miquel Roca
Highly Optimized Hardware Morphological Neural Network Through Stochastic Computing and Tropical Pruning. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (1) (2023)
Christiam F. Frasser, Pablo Linares-Serrano, Iván Díez de los Ríos, Alejandro Morán, Erik S. Skibinsky-Gitlin, Joan Font-Rosselló, Vincent Canals, Miquel Roca, Teresa Serrano-Gotarredona, Josep L. Rosselló
Fully Parallel Stochastic Computing Hardware Implementation of Convolutional Neural Networks for Edge Computing Applications. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Christiam F. Frasser, Alejandro Morán, Vincent Canals, Joan Font, Eugeni Isern, Miquel Roca, Josep L. Rosselló
Approximate arithmetic aware training for stochastic computing neural networks. DCIS (2023)
Alejandro Morán, Vincent Canals, Fabio Galán-Prado, Christian F. Frasser, Dhinakar Radhakrishnan, Saeid Safavi, Josep L. Rosselló
Hardware-Optimized Reservoir Computing System for Edge Intelligence Applications. Cogn. Comput. 15 (5) (2023)
Alejandro Morán, Luis Parrilla, Miquel Roca, Joan Font-Rosselló, Eugeni Isern, Vincent Canals
Digital Implementation of Radial Basis Function Neural Networks Based on Stochastic Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (1) (2023)
Alejandro Morán Costoya, Luís Parrilla Roure, Miquel Roca, Joan Font-Rosselló, Eugeni Isern, Vincent Canals
Corrections to "Digital implementation of Radial Basis Function Neural Networks Based on Stochastic Computing". IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (3) (2023)
Alejandro Morán, Vincent Canals, Plamen P. Angelov, Christian F. Frasser, Erik S. Skibinsky-Gitlin, Joan Font, Eugeni Isern, Miquel Roca, Josep L. Rosselló
Stochastic Computing co-processing elements for Evolving Autonomous Data Partitioning. DCIS (2021)
Alejandro Morán, Josep L. Rosselló, Miquel Roca, Vincent Canals
SoC Kohonen Maps Based on Stochastic Computing. IJCNN (2020)
Miquel L. Alomar, Erik S. Skibinsky-Gitlin, Christiam F. Frasser, Vincent Canals, Eugeni Isern, Miquel Roca, Josep L. Rosselló
Efficient parallel implementation of reservoir computing systems. Neural Comput. Appl. 32 (7) (2020)
Christiam F. Frasser, Carola de Benito, Vincent Canals, Miquel Roca, Pedro J. Ballester, Josep L. Rosselló
Stochastic-based Neural Network hardware acceleration for an efficient ligand-based virtual screening. CoRR (2020)
Alejandro Morán, Vincent Canals, Miquel Roca, Eugeni Isern, Josep L. Rosselló
FPGA Implementation of Random Vector Functional Link Networks based on Elementary Cellular Automata. DCIS (2020)
Alejandro Morán, Josep L. Rosselló, Miquel Roca, Eugeni Isern, Víctor Martínez-Moll, Vincent Canals
Self-Organizing Maps hybrid Implementation Based on Stochastic Computing. DCIS (2019)
Erik S. Skibinsky-Gitlin, Miquel L. Alomar, Eugeni Isern, Miquel Roca, Vincent Canals, Josep L. Rosselló
Reservoir Computing Hardware for Time Series Forecasting. PATMOS (2018)
Erik S. Skibinsky-Gitlin, Miquel L. Alomar, Christiam F. Frasser, Vincent Canals, Eugeni Isern, Miquel Roca, Josep L. Rosselló
Cyclic Reservoir Computing with FPGA Devices for Efficient Channel Equalization. ICAISC (1) (2018)
Miquel L. Alomar, Vincent Canals, Nicolas Perez-Mora, Víctor Martínez-Moll, Josep L. Rosselló
FPGA-Based Stochastic Echo State Networks for Time-Series Forecasting. Comput. Intell. Neurosci. 2016 (2016)
Josep L. Rosselló, Miquel L. Alomar, Antoni Morro, Antoni Oliver, Vincent Canals
High-Density Liquid-State Machine Circuitry for Time-Series Forecasting. Int. J. Neural Syst. 26 (5) (2016)
Miquel L. Alomar, Vincent Canals, Antoni Morro, Antoni Oliver, Josep L. Rosselló
Stochastic hardware implementation of Liquid State Machines. IJCNN (2016)
Vincent Canals, Antoni Morro, Antoni Oliver, Miquel L. Alomar, Josep L. Rosselló
A New Stochastic Computing Methodology for Efficient Neural Network Implementation. IEEE Trans. Neural Networks Learn. Syst. 27 (3) (2016)
Miquel L. Alomar, Miguel C. Soriano, Miguel Angel Escalona-Moran, Vincent Canals, Ingo Fischer, Claudio R. Mirasso, José Luis Rosselló
Digital Implementation of a Single Dynamical Node Reservoir Computer. IEEE Trans. Circuits Syst. II Express Briefs (10) (2015)
Vincent Canals, Miquel L. Alomar, Antoni Morro, Antoni Oliver, Josep L. Rosselló
Noise-robust hardware implementation of neural networks. IJCNN (2015)
Nicolas Perez-Mora, Vincent Canals, Víctor Martínez-Moll
Short-Term Spanish Aggregated Solar Energy Forecast. IWANN (2) (2015)
Miquel L. Alomar, Vincent Canals, Víctor Martínez-Moll, José Luis Rosselló
Stochastic-Based Implementation of Reservoir Computers. IWANN (2) (2015)
Vincent Canals, Antoni Morro, Antoni Oliver, Miquel Lleo Alomar, Josep L. Rosselló
An unconventional computing technique for ultra-fast and ultra-low power data mining. PATMOS (2015)
José Luis Rosselló, Vincent Canals, Antoni Morro
Probabilistic-based neural network implementation. IJCNN (2012)
José Luis Rosselló, Vincent Canals, Antoni Morro, Antoni Oliver
Hardware Implementation of Stochastic Spiking Neural Networks. Int. J. Neural Syst. 22 (4) (2012)
Bartomeu Alorda, Jaume Verd, Vincent Canals, Kay Suenaga, V. Martinez
Multi-subject Project Based Learning initiative. EDUCON (2012)
Vincent Canals, Antoni Morro, José Luis Rosselló
Stochastic-Based Pattern Recognition Analysis CoRR (2012)
José Luis Rosselló, Vincent Canals, Antoni Morro
Hardware implementation of stochastic-based Neural Networks. IJCNN (2010)
Vincent Canals, Antoni Morro, José Luis Rosselló
Stochastic-based pattern-recognition analysis. Pattern Recognit. Lett. 31 (15) (2010)
José Luis Rosselló, Vincent Canals, Antoni Morro, Jaume Verd
Chaos-Based Mixed Signal Implementation of Spiking Neurons. Int. J. Neural Syst. 19 (6) (2009)
José Luis Rosselló, Ivan de Paúl, Vincent Canals, Antoni Morro
Spiking Neural Network Self-configuration for Temporal Pattern Recognition Analysis. ICANN (1) (2009)
José Luis Rosselló, Vincent Canals, Antoni Morro, Ivan de Paúl
Practical Hardware Implementation of Self-configuring Neural Networks. ISNN (3) (2009)
José Luis Rosselló, Vincent Canals, Ivan de Paúl, Sebastià A. Bota, Antoni Morro
A simple CMOS chaotic integrated circuit. IEICE Electron. Express 5 (24) (2008)
José Luis Rosselló, Vincent Canals, Ivan de Paúl, Jaume Segura
Using stochastic logic for efficient pattern recognition analysis. IJCNN (2008)
José Luis Rosselló, Ivan de Paúl, Vincent Canals
Self-configuring spiking neural networks. IEICE Electron. Express 5 (22) (2008)
Bartomeu Alorda, Vincent Canals, Jaume Segura
A Two-Level Power-Grid Model for Transient Current Testing Evaluation. J. Electron. Test. 20 (5) (2004)