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Vicent Canals
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2020 – today
- 2023
- [j19]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): 1461-1469 (2023) - [j18]Josep L. Rosselló
Highly Optimized Hardware Morphological Neural Network Through Stochastic Computing and Tropical Pruning. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 249-256 (2023) - [j17]Alejandro Morán
Digital Implementation of Radial Basis Function Neural Networks Based on Stochastic Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(1): 257-269 (2023) - [j16]Alejandro Morán Costoya
Corrections to "Digital implementation of Radial Basis Function Neural Networks Based on Stochastic Computing". IEEE J. Emerg. Sel. Topics Circuits Syst. 13(3): 871 (2023) - [j15]Christiam F. Frasser
Fully Parallel Stochastic Computing Hardware Implementation of Convolutional Neural Networks for Edge Computing Applications. IEEE Trans. Neural Networks Learn. Syst. 34(12): 10408-10418 (2023) - [c25]Christiam F. Frasser, Alejandro Morán
Approximate arithmetic aware training for stochastic computing neural networks. DCIS 2023: 1-6 - 2022
- [c24]Josep L. Rosselló, Joan Font-Rosselló
Hardware Implementation of Stochastic Computing-based Morphological Neural Systems. ISCAS 2022: 356-360 - 2021
- [c23]Christiam F. Frasser, Pablo Linares-Serrano, Alejandro Morán
Exploiting Correlation in Stochastic Computing based Deep Neural Networks. DCIS 2021: 1-6 - [c22]Alejandro Morán
Stochastic Computing co-processing elements for Evolving Autonomous Data Partitioning. DCIS 2021: 1-6 - 2020
- [j14]Miquel L. Alomar, Erik S. Skibinsky-Gitlin
Efficient parallel implementation of reservoir computing systems. Neural Comput. Appl. 32(7): 2299-2313 (2020) - [c21]Alejandro Morán
FPGA Implementation of Random Vector Functional Link Networks based on Elementary Cellular Automata. DCIS 2020: 1-6 - [c20]Alejandro Morán
SoC Kohonen Maps Based on Stochastic Computing. IJCNN 2020: 1-7 - [i4]Christiam F. Frasser, Carola de Benito, Vincent Canals, Miquel Roca, Pedro J. Ballester
Stochastic-based Neural Network hardware acceleration for an efficient ligand-based virtual screening. CoRR abs/2006.02505 (2020) - [i3]Christiam F. Frasser, Pablo Linares-Serrano, Vicent Canals, Miquel Roca, Teresa Serrano-Gotarredona, Josep L. Rosselló:
Fully-parallel Convolutional Neural Network Hardware. CoRR abs/2006.12439 (2020)
2010 – 2019
- 2019
- [c19]Alejandro Morán
Self-Organizing Maps hybrid Implementation Based on Stochastic Computing. DCIS 2019: 1-6 - 2018
- [j13]Antoni Morro, Vicent Canals, Antoni Oliver
A Stochastic Spiking Neural Network for Virtual Screening. IEEE Trans. Neural Networks Learn. Syst. 29(4): 1371-1375 (2018) - [c18]Erik S. Skibinsky-Gitlin, Miquel L. Alomar, Christiam F. Frasser, Vincent Canals, Eugeni Isern
Cyclic Reservoir Computing with FPGA Devices for Efficient Channel Equalization. ICAISC (1) 2018: 226-234 - [c17]Erik S. Skibinsky-Gitlin
Reservoir Computing Hardware for Time Series Forecasting. PATMOS 2018: 133-139 - 2017
- [j12]Vicent Canals, Christiam F. Frasser, Miquel L. Alomar, Antoni Morro, Antoni Oliver
Noise tolerant probabilistic logic for statistical pattern recognition applications. Integr. Comput. Aided Eng. 24(4): 351-365 (2017) - 2016
- [j11]Miquel L. Alomar, Vincent Canals, Nicolas Perez-Mora
FPGA-Based Stochastic Echo State Networks for Time-Series Forecasting. Comput. Intell. Neurosci. 2016: 3917892:1-3917892:14 (2016) - [j10]Josep L. Rosselló
High-Density Liquid-State Machine Circuitry for Time-Series Forecasting. Int. J. Neural Syst. 26(5): 1550036:1-1550036:12 (2016) - [j9]Vincent Canals, Antoni Morro, Antoni Oliver
A New Stochastic Computing Methodology for Efficient Neural Network Implementation. IEEE Trans. Neural Networks Learn. Syst. 27(3): 551-564 (2016) - [c16]Miquel L. Alomar, Vincent Canals, Antoni Morro, Antoni Oliver
Stochastic hardware implementation of Liquid State Machines. IJCNN 2016: 1128-1133 - 2015
- [j8]Miquel L. Alomar, Miguel C. Soriano
Digital Implementation of a Single Dynamical Node Reservoir Computer. IEEE Trans. Circuits Syst. II Express Briefs 62-II(10): 977-981 (2015) - [c15]Vincent Canals, Miquel L. Alomar, Antoni Morro, Antoni Oliver
Noise-robust hardware implementation of neural networks. IJCNN 2015: 1-8 - [c14]Miquel L. Alomar, Vincent Canals, Víctor Martínez-Moll, José Luis Rosselló:
Stochastic-Based Implementation of Reservoir Computers. IWANN (2) 2015: 185-196 - [c13]Nicolas Perez-Mora
Short-Term Spanish Aggregated Solar Energy Forecast. IWANN (2) 2015: 307-319 - [c12]Vincent Canals, Antoni Morro, Antoni Oliver
An unconventional computing technique for ultra-fast and ultra-low power data mining. PATMOS 2015: 40-46 - 2014
- [j7]José Luis Rosselló, Vicent Canals
Studying the Role of Synchronized and Chaotic Spiking Neural Ensembles in Neural Information Processing. Int. J. Neural Syst. 24(5) (2014) - [c11]José Luis Rosselló, Vicent Canals, Antoni Oliver
Stochastic Spiking Neural Networks at the EDGE of CHAOS. IJCNN 2014: 2399-2406 - [c10]Miquel L. Alomar, Vicent Canals, Víctor Martínez-Moll, José Luis Rosselló:
Low-cost hardware implementation of Reservoir Computers. PATMOS 2014: 1-5 - 2012
- [j6]José Luis Rosselló, Vincent Canals
Hardware Implementation of Stochastic Spiking Neural Networks. Int. J. Neural Syst. 22(4) (2012) - [c9]Bartomeu Alorda
Multi-subject Project Based Learning initiative. EDUCON 2012: 1-7 - [c8]José Luis Rosselló, Vincent Canals, Antoni Morro:
Probabilistic-based neural network implementation. IJCNN 2012: 1-7 - [i2]Vincent Canals, Antoni Morro, José Luis Rosselló:
Stochastic-Based Pattern Recognition Analysis. CoRR abs/1202.4495 (2012) - 2010
- [j5]Vincent Canals
Stochastic-based pattern-recognition analysis. Pattern Recognit. Lett. 31(15): 2353-2356 (2010) - [c7]José Luis Rosselló, Vincent Canals, Antoni Morro:
Hardware implementation of stochastic-based Neural Networks. IJCNN 2010: 1-4
2000 – 2009
- 2009
- [j4]José Luis Rosselló, Vincent Canals, Antoni Morro, Jaume Verd
Chaos-Based Mixed Signal Implementation of Spiking Neurons. Int. J. Neural Syst. 19(6): 465-471 (2009) - [c6]José Luis Rosselló, Ivan de Paúl, Vincent Canals, Antoni Morro:
Spiking Neural Network Self-configuration for Temporal Pattern Recognition Analysis. ICANN (1) 2009: 421-428 - [c5]José Luis Rosselló, Vincent Canals, Antoni Morro, Ivan de Paúl:
Practical Hardware Implementation of Self-configuring Neural Networks. ISNN (3) 2009: 1154-1159 - 2008
- [j3]José Luis Rosselló, Ivan de Paúl, Vincent Canals
Self-configuring spiking neural networks. IEICE Electron. Express 5(22): 921-926 (2008) - [j2]José Luis Rosselló, Vincent Canals
A simple CMOS chaotic integrated circuit. IEICE Electron. Express 5(24): 1042-1048 (2008) - [c4]José Luis Rosselló, Vincent Canals
Using stochastic logic for efficient pattern recognition analysis. IJCNN 2008: 1057-1061 - 2007
- [i1]José Luis Rosselló, Vicent Canals, Sebastià A. Bota, Ali Keshavarzi, Jaume Segura:
A Fast Concurrent Power-Thermal Model for Sub-100nm Digital ICs. CoRR abs/0710.4759 (2007) - 2006
- [c3]José Luis Rosselló, Sebastià A. Bota, Vicent Canals, Ivan de Paúl, Jaume Segura
A Fully CMOS Low-Cost Chaotic Neural Network. IJCNN 2006: 659-663 - 2005
- [c2]José Luis Rosselló, Vicent Canals
A Fast Concurrent Power-Thermal Model for Sub-100nm Digital ICs. DATE 2005: 206-211 - 2004
- [j1]Bartomeu Alorda, Vincent Canals
A Two-Level Power-Grid Model for Transient Current Testing Evaluation. J. Electron. Test. 20(5): 543-552 (2004) - [c1]Bartomeu Alorda, Vicent Canals, Ivan de Paúl, Jaume Segura:
A BIST-based Charge Analysis for Embedded Memories. IOLTS 2004: 199-206
Coauthor Index
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