Vincent Canals

39 papers B 6C 1Journal 19Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Pruning dense neural networks for efficient edge deployment in internet of things applications. Appl. Soft Comput. Lluc Crespí-Castañer, Joan Font-Rosselló, Murti Bär, Alejandro Morán, Christian F. Frasser, Vincent Canals, Miquel Roca, Josep L. Rosselló
2025	—	`conf`	A 1.12 TOPS/W 180 nm Stochastic Computing-Based Neuromorphic Circuit. DCIS Josep L. Rosselló, Christiam F. Frasser, Arnau Salas-Barenys, Joan Cesari, Vincent Canals, Lluc Crespí-Castañer, Joan Font-Rosselló, Alejandro Morán, Miquel Roca
2025	—	`conf`	A Comparative Analysis of Bipolar and Sign-Magnitude Stochastic Computing Approaches in Quantized Neural Networks. DCIS Alejandro Morán, Lluc Crespí-Castañer, Christiam F. Frasser, Joan Font-Rosselló, Vincent Canals, Miquel Roca, Josep L. Rosselló
2023	—	`conf`	Approximate arithmetic aware training for stochastic computing neural networks. DCIS Christiam F. Frasser, Alejandro Morán, Vincent Canals, Joan Font, Eugeni Isern, Miquel Roca, Josep L. Rosselló
2023	J	`jnl`	Corrections to "Digital implementation of Radial Basis Function Neural Networks Based on Stochastic Computing". IEEE J. Emerg. Sel. Topics Circuits Syst. Alejandro Morán Costoya, Luís Parrilla Roure, Miquel Roca, Joan Font-Rosselló, Eugeni Isern, Vincent Canals
2023	J	`jnl`	Digital Implementation of Radial Basis Function Neural Networks Based on Stochastic Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. Alejandro Morán, Luis Parrilla, Miquel Roca, Joan Font-Rosselló, Eugeni Isern, Vincent Canals
2023	J	`jnl`	Fully Parallel Stochastic Computing Hardware Implementation of Convolutional Neural Networks for Edge Computing Applications. IEEE Trans. Neural Networks Learn. Syst. 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
2023	J	`jnl`	Hardware-Optimized Reservoir Computing System for Edge Intelligence Applications. Cogn. Comput. Alejandro Morán, Vincent Canals, Fabio Galán-Prado, Christian F. Frasser, Dhinakar Radhakrishnan, Saeid Safavi, Josep L. Rosselló
2023	J	`jnl`	Highly Optimized Hardware Morphological Neural Network Through Stochastic Computing and Tropical Pruning. IEEE J. Emerg. Sel. Topics Circuits Syst. Josep L. Rosselló, Joan Font-Rosselló, Christiam F. Frasser, Alejandro Morán, Erik S. Skibinsky-Gitlin, Vincent Canals, Miquel Roca
2021	—	`conf`	Stochastic Computing co-processing elements for Evolving Autonomous Data Partitioning. DCIS Alejandro Morán, Vincent Canals, Plamen P. Angelov, Christiam F. Frasser, Erik S. Skibinsky-Gitlin, Joan Font, Eugeni Isern, Miquel Roca, Josep L. Rosselló
2020	J	`jnl`	Efficient parallel implementation of reservoir computing systems. Neural Comput. Appl. Miquel L. Alomar, Erik S. Skibinsky-Gitlin, Christiam F. Frasser, Vincent Canals, Eugeni Isern, Miquel Roca, Josep L. Rosselló
2020	—	`conf`	FPGA Implementation of Random Vector Functional Link Networks based on Elementary Cellular Automata. DCIS Alejandro Morán, Vincent Canals, Miquel Roca, Eugeni Isern, Josep L. Rosselló
2020	B	`conf`	SoC Kohonen Maps Based on Stochastic Computing. IJCNN Alejandro Morán, Josep L. Rosselló, Miquel Roca, Vincent Canals
2020	J	`jnl`	Stochastic-based Neural Network hardware acceleration for an efficient ligand-based virtual screening. CoRR Christiam F. Frasser, Carola de Benito, Vincent Canals, Miquel Roca, Pedro J. Ballester, Josep L. Rosselló
2019	—	`conf`	Self-Organizing Maps hybrid Implementation Based on Stochastic Computing. DCIS Alejandro Morán, Josep L. Rosselló, Miquel Roca, Eugeni Isern, Víctor Martínez-Moll, Vincent Canals
2018	—	`conf`	Cyclic Reservoir Computing with FPGA Devices for Efficient Channel Equalization. ICAISC (1) Erik S. Skibinsky-Gitlin, Miquel L. Alomar, Christiam F. Frasser, Vincent Canals, Eugeni Isern, Miquel Roca, Josep L. Rosselló
2018	—	`conf`	Reservoir Computing Hardware for Time Series Forecasting. PATMOS Erik S. Skibinsky-Gitlin, Miquel L. Alomar, Eugeni Isern, Miquel Roca, Vincent Canals, Josep L. Rosselló
2016	J	`jnl`	A New Stochastic Computing Methodology for Efficient Neural Network Implementation. IEEE Trans. Neural Networks Learn. Syst. Vincent Canals, Antoni Morro, Antoni Oliver, Miquel L. Alomar, Josep L. Rosselló
2016	J	`jnl`	FPGA-Based Stochastic Echo State Networks for Time-Series Forecasting. Comput. Intell. Neurosci. Miquel L. Alomar, Vincent Canals, Nicolas Perez-Mora, Víctor Martínez-Moll, Josep L. Rosselló
2016	J	`jnl`	High-Density Liquid-State Machine Circuitry for Time-Series Forecasting. Int. J. Neural Syst. Josep L. Rosselló, Miquel L. Alomar, Antoni Morro, Antoni Oliver, Vincent Canals
2016	B	`conf`	Stochastic hardware implementation of Liquid State Machines. IJCNN Miquel L. Alomar, Vincent Canals, Antoni Morro, Antoni Oliver, Josep L. Rosselló
2015	—	`conf`	An unconventional computing technique for ultra-fast and ultra-low power data mining. PATMOS Vincent Canals, Antoni Morro, Antoni Oliver, Miquel Lleo Alomar, Josep L. Rosselló
2015	J	`jnl`	Digital Implementation of a Single Dynamical Node Reservoir Computer. IEEE Trans. Circuits Syst. II Express Briefs Miquel L. Alomar, Miguel C. Soriano, Miguel Angel Escalona-Morán, Vincent Canals, Ingo Fischer, Claudio R. Mirasso, José Luis Rosselló
2015	B	`conf`	Noise-robust hardware implementation of neural networks. IJCNN Vincent Canals, Miquel L. Alomar, Antoni Morro, Antoni Oliver, Josep L. Rosselló
2015	—	`conf`	Short-Term Spanish Aggregated Solar Energy Forecast. IWANN (2) Nicolas Perez-Mora, Vincent Canals, Víctor Martínez-Moll
2015	—	`conf`	Stochastic-Based Implementation of Reservoir Computers. IWANN (2) Miquel L. Alomar, Vincent Canals, Víctor Martínez-Moll, José Luis Rosselló
2012	J	`jnl`	Hardware Implementation of Stochastic Spiking Neural Networks. Int. J. Neural Syst. José Luis Rosselló, Vincent Canals, Antoni Morro, Antoni Oliver
2012	C	`conf`	Multi-subject Project Based Learning initiative. EDUCON Bartomeu Alorda, Jaume Verd, Vincent Canals, Kay Suenaga, V. Martinez
2012	B	`conf`	Probabilistic-based neural network implementation. IJCNN José Luis Rosselló, Vincent Canals, Antoni Morro
2012	J	`jnl`	Stochastic-Based Pattern Recognition Analysis CoRR Vincent Canals, Antoni Morro, José Luis Rosselló
2010	B	`conf`	Hardware implementation of stochastic-based Neural Networks. IJCNN José Luis Rosselló, Vincent Canals, Antoni Morro
2010	J	`jnl`	Stochastic-based pattern-recognition analysis. Pattern Recognit. Lett. Vincent Canals, Antoni Morro, José Luis Rosselló
2009	J	`jnl`	Chaos-Based Mixed Signal Implementation of Spiking Neurons. Int. J. Neural Syst. José Luis Rosselló, Vincent Canals, Antoni Morro, Jaume Verd
2009	—	`conf`	Practical Hardware Implementation of Self-configuring Neural Networks. ISNN (3) José Luis Rosselló, Vincent Canals, Antoni Morro, Ivan de Paúl
2009	—	`conf`	Spiking Neural Network Self-configuration for Temporal Pattern Recognition Analysis. ICANN (1) José Luis Rosselló, Ivan de Paúl, Vincent Canals, Antoni Morro
2008	J	`jnl`	A simple CMOS chaotic integrated circuit. IEICE Electron. Express José Luis Rosselló, Vincent Canals, Ivan de Paúl, Sebastià A. Bota, Antoni Morro
2008	J	`jnl`	Self-configuring spiking neural networks. IEICE Electron. Express José Luis Rosselló, Ivan de Paúl, Vincent Canals
2008	B	`conf`	Using stochastic logic for efficient pattern recognition analysis. IJCNN José Luis Rosselló, Vincent Canals, Ivan de Paúl, Jaume Segura
2004	J	`jnl`	A Two-Level Power-Grid Model for Transient Current Testing Evaluation. J. Electron. Test. Bartomeu Alorda, Vincent Canals, Jaume Segura