Vicent Canals

According to our database, Vicent Canals authored at least 47 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Tropical Pruning Strategies for ANN optimization in IoT.

Murti Bär, Lluc Crespí-Castañer, Joan Font-Rosselló, Alejandro Morán, Vicent Canals, Miquel Roca, Josep L. Rosselló

Proceedings of the 39th Conference on Design of Circuits and Integrated Systems, 2024

2023

Fully Parallel Stochastic Computing Hardware Implementation of Convolutional Neural Networks for Edge Computing Applications.

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

IEEE Trans. Neural Networks Learn. Syst., December, 2023

Corrections to "Digital implementation of Radial Basis Function Neural Networks Based on Stochastic Computing".

Alejandro Morán Costoya, Luís Parrilla Roure, Miquel Roca, Joan Font-Rosselló, Eugeni Isern, Vincent Canals

IEEE J. Emerg. Sel. Topics Circuits Syst., September, 2023

Hardware-Optimized Reservoir Computing System for Edge Intelligence Applications.

Alejandro Morán, Vincent Canals, Fabio Galán-Prado, Christian F. Frasser, Dhinakar Radhakrishnan, Saeid Safavi, Josep L. Rosselló

Cogn. Comput., September, 2023

Highly Optimized Hardware Morphological Neural Network Through Stochastic Computing and Tropical Pruning.

Josep L. Rosselló, Joan Font-Rosselló, Christiam F. Frasser, Alejandro Morán, Erik S. Skibinsky-Gitlin, Vincent Canals, Miquel Roca

IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

Digital Implementation of Radial Basis Function Neural Networks Based on Stochastic Computing.

Alejandro Morán, Luis Parrilla, Miquel Roca, Joan Font-Rosselló, Eugeni Isern, Vincent Canals

IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

Approximate arithmetic aware training for stochastic computing neural networks.

Christiam F. Frasser, Alejandro Morán, Vincent Canals, Joan Font, Eugeni Isern, Miquel Roca, Josep L. Rosselló

Proceedings of the 38th Conference on Design of Circuits and Integrated Systems, 2023

2022

Hardware Implementation of Stochastic Computing-based Morphological Neural Systems.

Josep L. Rosselló, Joan Font-Rosselló, Christiam F. Frasser, Alejandro Morán, Erik S. Skibinsky-Gitlin, Vicent Canals, Miquel Roca

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021

Stochastic Computing co-processing elements for Evolving Autonomous Data Partitioning.

Alejandro Morán, Vincent Canals, Plamen P. Angelov, Christiam F. Frasser, Erik S. Skibinsky-Gitlin, Joan Font, Eugeni Isern, Miquel Roca, Josep L. Rosselló

Proceedings of the XXXVI Conference on Design of Circuits and Integrated Systems, 2021

Exploiting Correlation in Stochastic Computing based Deep Neural Networks.

Christiam F. Frasser, Pablo Linares-Serrano, Alejandro Morán, Joan Font-Rosselló, Vicent Canals, Miquel Roca, Teresa Serrano-Gotarredona, Josep L. Rosselló

Proceedings of the XXXVI Conference on Design of Circuits and Integrated Systems, 2021

2020

Efficient parallel implementation of reservoir computing systems.

Miquel L. Alomar, Erik S. Skibinsky-Gitlin, Christiam F. Frasser, Vincent Canals, Eugeni Isern, Miquel Roca, Josep L. Rosselló

Neural Comput. Appl., 2020

Fully-parallel Convolutional Neural Network Hardware.

Christiam F. Frasser, Pablo Linares-Serrano, Vicent Canals, Miquel Roca, Teresa Serrano-Gotarredona, Josep L. Rosselló

CoRR, 2020

Stochastic-based Neural Network hardware acceleration for an efficient ligand-based virtual screening.

Christiam F. Frasser, Carola de Benito, Vincent Canals, Miquel Roca, Pedro J. Ballester, Josep L. Rosselló

CoRR, 2020

SoC Kohonen Maps Based on Stochastic Computing.

Alejandro Morán, Josep L. Rosselló, Miquel Roca, Vincent Canals

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

FPGA Implementation of Random Vector Functional Link Networks based on Elementary Cellular Automata.

Alejandro Morán, Vincent Canals, Miquel Roca, Eugeni Isern, Josep L. Rosselló

Proceedings of the XXXV Conference on Design of Circuits and Integrated Systems, 2020

2019

Self-Organizing Maps hybrid Implementation Based on Stochastic Computing.

Alejandro Morán, Josep L. Rosselló, Miquel Roca, Eugeni Isern, Víctor Martínez-Moll, Vincent Canals

Proceedings of the XXXIV Conference on Design of Circuits and Integrated Systems, 2019

2018

A Stochastic Spiking Neural Network for Virtual Screening.

Antoni Morro, Vicent Canals, Antoni Oliver, Miquel L. Alomar, Fabio Galán-Prado, Pedro J. Ballester, José Luis Rosselló

IEEE Trans. Neural Networks Learn. Syst., 2018

Reservoir Computing Hardware for Time Series Forecasting.

Erik S. Skibinsky-Gitlin, Miquel L. Alomar, Eugeni Isern, Miquel Roca, Vincent Canals, Josep L. Rosselló

Proceedings of the 28th International Symposium on Power and Timing Modeling, 2018

Cyclic Reservoir Computing with FPGA Devices for Efficient Channel Equalization.

Erik S. Skibinsky-Gitlin, Miquel L. Alomar, Christiam F. Frasser, Vincent Canals, Eugeni Isern, Miquel Roca, Josep L. Rosselló

Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017

Noise tolerant probabilistic logic for statistical pattern recognition applications.

Vicent Canals, Christiam F. Frasser, Miquel L. Alomar, Antoni Morro, Antoni Oliver, Miquel Roca, Eugeni Isern, Víctor Martínez-Moll, Eugenio García-Moreno, Josep L. Rosselló

Integr. Comput. Aided Eng., 2017

2016

A New Stochastic Computing Methodology for Efficient Neural Network Implementation.

Vincent Canals, Antoni Morro, Antoni Oliver, Miquel L. Alomar, Josep L. Rosselló

IEEE Trans. Neural Networks Learn. Syst., 2016

High-Density Liquid-State Machine Circuitry for Time-Series Forecasting.

Josep L. Rosselló, Miquel L. Alomar, Antoni Morro, Antoni Oliver, Vincent Canals

Int. J. Neural Syst., 2016

FPGA-Based Stochastic Echo State Networks for Time-Series Forecasting.

Miquel L. Alomar, Vincent Canals, Nicolas Perez-Mora, Víctor Martínez-Moll, Josep L. Rosselló

Comput. Intell. Neurosci., 2016

Stochastic hardware implementation of Liquid State Machines.

Miquel L. Alomar, Vincent Canals, Antoni Morro, Antoni Oliver, Josep L. Rosselló

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Digital Implementation of a Single Dynamical Node Reservoir Computer.

Miquel L. Alomar, Miguel C. Soriano, Miguel Angel Escalona-Moran, Vincent Canals, Ingo Fischer, Claudio R. Mirasso, José Luis Rosselló

IEEE Trans. Circuits Syst. II Express Briefs, 2015

An unconventional computing technique for ultra-fast and ultra-low power data mining.

Vincent Canals, Antoni Morro, Antoni Oliver, Miquel Lleo Alomar, Josep L. Rosselló

Proceedings of the 25th International Workshop on Power and Timing Modeling, 2015

Short-Term Spanish Aggregated Solar Energy Forecast.

Nicolas Perez-Mora, Vincent Canals, Víctor Martínez-Moll

Proceedings of the Advances in Computational Intelligence, 2015

Stochastic-Based Implementation of Reservoir Computers.

Miquel L. Alomar, Vincent Canals, Víctor Martínez-Moll, José Luis Rosselló

Proceedings of the Advances in Computational Intelligence, 2015

Noise-robust hardware implementation of neural networks.

Vincent Canals, Miquel L. Alomar, Antoni Morro, Antoni Oliver, Josep L. Rosselló

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Studying the Role of Synchronized and Chaotic Spiking Neural Ensembles in Neural Information Processing.

José Luis Rosselló, Vicent Canals, Antoni Oliver, Antoni Morro

Int. J. Neural Syst., 2014

Low-cost hardware implementation of Reservoir Computers.

Miquel L. Alomar, Vicent Canals, Víctor Martínez-Moll, José Luis Rosselló

Proceedings of the 24th International Workshop on Power and Timing Modeling, 2014

Stochastic Spiking Neural Networks at the EDGE of CHAOS.

José Luis Rosselló, Vicent Canals, Antoni Oliver, Antoni Morro

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2012

Hardware Implementation of Stochastic Spiking Neural Networks.

José Luis Rosselló, Vincent Canals, Antoni Morro, Antoni Oliver

Int. J. Neural Syst., 2012

Probabilistic-based neural network implementation.

José Luis Rosselló, Vincent Canals, Antoni Morro

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Multi-subject Project Based Learning initiative.

Bartomeu Alorda, Jaume Verd, Vincent Canals, Kay Suenaga, V. Martinez

Proceedings of the IEEE Global Engineering Education Conference, 2012

2010

Stochastic-based pattern-recognition analysis.

Vincent Canals, Antoni Morro, José Luis Rosselló

Pattern Recognit. Lett., 2010

Hardware implementation of stochastic-based Neural Networks.

José Luis Rosselló, Vincent Canals, Antoni Morro

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

Chaos-Based Mixed Signal Implementation of Spiking Neurons.

José Luis Rosselló, Vincent Canals, Antoni Morro, Jaume Verd

Int. J. Neural Syst., 2009

Practical Hardware Implementation of Self-configuring Neural Networks.

José Luis Rosselló, Vincent Canals, Antoni Morro, Ivan de Paúl

Proceedings of the Advances in Neural Networks, 2009

Spiking Neural Network Self-configuration for Temporal Pattern Recognition Analysis.

José Luis Rosselló, Ivan de Paúl, Vincent Canals, Antoni Morro

Proceedings of the Artificial Neural Networks, 2009

2008

Self-configuring spiking neural networks.

José Luis Rosselló, Ivan de Paúl, Vincent Canals

IEICE Electron. Express, 2008

A simple CMOS chaotic integrated circuit.

José Luis Rosselló, Vincent Canals, Ivan de Paúl, Sebastià A. Bota, Antoni Morro

IEICE Electron. Express, 2008

Using stochastic logic for efficient pattern recognition analysis.

José Luis Rosselló, Vincent Canals, Ivan de Paúl, Jaume Segura

Proceedings of the International Joint Conference on Neural Networks, 2008

2006

A Fully CMOS Low-Cost Chaotic Neural Network.

José Luis Rosselló, Sebastià A. Bota, Vicent Canals, Ivan de Paúl, Jaume Segura

Proceedings of the International Joint Conference on Neural Networks, 2006

2005

A Fast Concurrent Power-Thermal Model for Sub-100nm Digital ICs.

José Luis Rosselló, Vicent Canals, Sebastià A. Bota, Ali Keshavarzi, Jaume Segura

Proceedings of the 2005 Design, 2005

2004

A Two-Level Power-Grid Model for Transient Current Testing Evaluation.

Bartomeu Alorda, Vincent Canals, Jaume Segura

J. Electron. Test., 2004

A BIST-based Charge Analysis for Embedded Memories.

Bartomeu Alorda, Vicent Canals, Ivan de Paúl, Jaume Segura

Proceedings of the 10th IEEE International On-Line Testing Symposium (IOLTS 2004), 2004