Josep L. Rosselló

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 36

Top Topics

Hardware Implementation

Statistical Pattern Recognition

Reservoir Computing

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

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) (2024)
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)
Fabio Galán-Prado, Joan Font-Rosselló, Miquel Roca, Josep L. Rosselló
Stochastic Computing-based on-chip Training Circuitry for Reservoir Computing Systems. DCIS (2023)
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)
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)
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)
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)
Alejandro Morán, Josep L. Rosselló, Miquel Roca, Vincent Canals
SoC Kohonen Maps Based on Stochastic Computing. IJCNN (2020)
Fabio Galán-Prado, Joan Font-Rosselló, Josep L. Rosselló
Tropical Reservoir Computing Hardware. IEEE Trans. Circuits Syst. (11) (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)
Alejandro Morán, Christiam F. Frasser, Miquel Roca, Josep L. Rosselló
Energy-Efficient Pattern Recognition Hardware With Elementary Cellular Automata. IEEE Trans. Computers 69 (3) (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)
Christiam F. Frasser, Pablo Linares-Serrano, Vicent Canals, Miquel Roca, Teresa Serrano-Gotarredona, Josep L. Rosselló
Fully-parallel Convolutional Neural Network Hardware. CoRR (2020)
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) (2019)
Fabio Galán-Prado, Joan Font-Rosselló, Josep L. Rosselló
Morphological Reservoir Computing Hardware. PATMOS (2019)
Fabio Galán-Prado, Alejandro Morán, Joan Font, Miquel Roca, Josep L. Rosselló
Stochastic Radial Basis Neural Networks. PATMOS (2019)
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)
Alejandro Morán, Christiam F. Frasser, Josep L. Rosselló
Reservoir Computing Hardware with Cellular Automata. CoRR (2018)
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)
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) (2018)
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) (2018)
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)
Fabio Galán-Prado, Josep L. Rosselló
Smart Hardware Implementation of Spiking Neural Networks. IWANN (1) (2017)
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) (2017)
Vicent Canals, Christiam F. Frasser, Miquel L. Alomar, Antoni Morro, Antoni Oliver, Miquel Roca, Eugeni Isern, Víctor Martínez-Moll, Eugeni García-Moreno, Josep L. Rosselló
Noise tolerant probabilistic logic for statistical pattern recognition applications. Integr. Comput. Aided Eng. 24 (4) (2017)
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)
Vincent Canals, Miquel L. Alomar, Antoni Morro, Antoni Oliver, Josep L. Rosselló
Noise-robust hardware implementation of neural networks. IJCNN (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)