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ORCIDJosep L. Rosselló
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2020 – today
- 2024
[j15]Fabio Galán-Prado
, Josep L. Rosselló:
A Noniterative Supervised On-Chip Training Circuitry for Reservoir Computing Systems. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4097-4109 (2024)- 2023
- [j14]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) - [j13]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): 249-256 (2023) - [j12]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): 10408-10418 (2023) - [c18]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: 1-6 - [c17]Fabio Galán-Prado, Joan Font-Rosselló, Miquel Roca, Josep L. Rosselló:
Stochastic Computing-based on-chip Training Circuitry for Reservoir Computing Systems. DCIS 2023: 1-6 - 2022
- [c16]Erik S. Skibinsky-Gitlin, Joan Font-Rosselló, Christiam F. Frasser, Alejandro Morán, Vicens Canals, Miquel Roca, Josep L. Rosselló:
Improving efficiency of a Stochastic Computing-based Morphological Neural Network. DCIS 2022: 1-6 - [c15]Josep L. Rosselló, Joan Font-Rosselló, Christiam F. Frasser, Alejandro Morán, Erik S. Skibinsky-Gitlin, Vicent Canals, Miquel Roca:
Hardware Implementation of Stochastic Computing-based Morphological Neural Systems. ISCAS 2022: 356-360 - 2021
- [c14]Christiam F. Frasser, Pablo Linares-Serrano, Alejandro Morán, Joan Font-Rosselló, Vicent Canals, Miquel Roca, Teresa Serrano-Gotarredona, Josep L. Rosselló:
Exploiting Correlation in Stochastic Computing based Deep Neural Networks. DCIS 2021: 1-6 - [c13]Alejandro Morán, Vincent Canals, Plamen P. Angelov, Christiam 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: 1-6 - 2020
- [j11]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): 2299-2313 (2020) - [j10]Alejandro Morán, Christiam F. Frasser, Miquel Roca, Josep L. Rosselló:
Energy-Efficient Pattern Recognition Hardware With Elementary Cellular Automata. IEEE Trans. Computers 69(3): 392-401 (2020) - [j9]Fabio Galán-Prado, Joan Font-Rosselló, Josep L. Rosselló:
Tropical Reservoir Computing Hardware. IEEE Trans. Circuits Syst. 67-II(11): 2712-2716 (2020) - [c12]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: 1-6 - [c11]Alejandro Morán, Josep L. Rosselló, Miquel Roca, Vincent Canals:
SoC Kohonen Maps Based on Stochastic Computing. IJCNN 2020: 1-7 - [i3]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 abs/2006.02505 (2020) - [i2]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
- [j8]Fabio Galán-Prado, Alejandro Morán, Joan Font, Miquel Roca, Josep L. Rosselló:
Compact Hardware Synthesis of Stochastic Spiking Neural Networks. Int. J. Neural Syst. 29(8): 1950004:1-1950004:13 (2019) - [c10]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: 1-6 - [c9]Fabio Galán-Prado, Joan Font-Rosselló, Josep L. Rosselló:
Morphological Reservoir Computing Hardware. PATMOS 2019: 141-144 - [c8]Fabio Galán-Prado, Alejandro Morán, Joan Font, Miquel Roca, Josep L. Rosselló:
Stochastic Radial Basis Neural Networks. PATMOS 2019: 145-149 - 2018
- [j7]Farooq Ahmad Khanday, Mohammad Rafiq Dar, Nasir Ali Kant, Josep L. Rosselló, Costas Psychalinos:
0.65 V integrable electronic realisation of integer- and fractional-order Hindmarsh-Rose neuron model using companding technique. IET Circuits Devices Syst. 12(6): 696-706 (2018) - [j6]Antoni Oliver, Christopher A. Hunter, Rafel Prohens, Josep L. Rosselló:
An improved methodology to compute surface site interaction points using high density molecular electrostatic potential surfaces. J. Comput. Chem. 39(28): 2371-2377 (2018) - [c7]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: 226-234 - [c6]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: 133-139 - [i1]Alejandro Morán, Christiam F. Frasser, Josep L. Rosselló:
Reservoir Computing Hardware with Cellular Automata. CoRR abs/1806.04932 (2018) - 2017
- [j5]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:
Noise tolerant probabilistic logic for statistical pattern recognition applications. Integr. Comput. Aided Eng. 24(4): 351-365 (2017) - [j4]Antoni Oliver, Christopher A. Hunter, Rafel Prohens, Josep L. Rosselló:
A surface site interaction point methodology for macromolecules and huge molecular databases. J. Comput. Chem. 38(7): 419-426 (2017) - [c5]Fabio Galán-Prado, Josep L. Rosselló:
Smart Hardware Implementation of Spiking Neural Networks. IWANN (1) 2017: 560-568 - [c4]Carol de Benito, Mohamad Moner Al Chawa, Josep L. Rosselló, Miquel Roca, Rodrigo Picos, Ioannis Messaris, Spiridon Nikolaidis:
An analytical delay model for ReRAM memory cells. PATMOS 2017: 1-6 - 2016
- [j3]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: 3917892:1-3917892:14 (2016) - [j2]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): 1550036:1-1550036:12 (2016) - [j1]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): 551-564 (2016) - [c3]Miquel L. Alomar, Vincent Canals, Antoni Morro, Antoni Oliver, Josep L. Rosselló:
Stochastic hardware implementation of Liquid State Machines. IJCNN 2016: 1128-1133 - 2015
- [c2]Vincent Canals, Miquel L. Alomar, Antoni Morro, Antoni Oliver, Josep L. Rosselló:
Noise-robust hardware implementation of neural networks. IJCNN 2015: 1-8 - [c1]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: 40-46
Coauthor Index
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