Josep L. Rosselló

According to our database, Josep L. Rosselló authored at least 36 papers between 2015 and 2024.

Collaborative distances:

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

2024

A Noniterative Supervised On-Chip Training Circuitry for Reservoir Computing Systems.

Fabio Galán-Prado, Josep L. Rosselló

IEEE Trans. Neural Networks Learn. Syst., March, 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

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

Stochastic Computing-based on-chip Training Circuitry for Reservoir Computing Systems.

Fabio Galán-Prado, Joan Font-Rosselló, Miquel Roca, Josep L. Rosselló

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

Improving efficiency of a Stochastic Computing-based Morphological Neural Network.

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

Proceedings of the 37th Conference on Design of Circuits and Integrated 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

Tropical Reservoir Computing Hardware.

Fabio Galán-Prado, Joan Font-Rosselló, Josep L. Rosselló

IEEE Trans. Circuits Syst., 2020

Energy-Efficient Pattern Recognition Hardware With Elementary Cellular Automata.

Alejandro Morán, Christiam F. Frasser, Miquel Roca, Josep L. Rosselló

IEEE Trans. Computers, 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

Compact Hardware Synthesis of Stochastic Spiking Neural Networks.

Fabio Galán-Prado, Alejandro Morán, Joan Font, Miquel Roca, Josep L. Rosselló

Int. J. Neural Syst., 2019

Stochastic Radial Basis Neural Networks.

Fabio Galán-Prado, Alejandro Morán, Joan Font, Miquel Roca, Josep L. Rosselló

Proceedings of the 29th International Symposium on Power and Timing Modeling, 2019

Morphological Reservoir Computing Hardware.

Fabio Galán-Prado, Joan Font-Rosselló, Josep L. Rosselló

Proceedings of the 29th International Symposium on Power and Timing Modeling, 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

An improved methodology to compute surface site interaction points using high density molecular electrostatic potential surfaces.

Antoni Oliver, Christopher A. Hunter, Rafel Prohens, Josep L. Rosselló

J. Comput. Chem., 2018

0.65 V integrable electronic realisation of integer- and fractional-order Hindmarsh-Rose neuron model using companding technique.

Farooq Ahmad Khanday, Mohammad Rafiq Dar, Nasir Ali Kant, Josep L. Rosselló, Costas Psychalinos

IET Circuits Devices Syst., 2018

Reservoir Computing Hardware with Cellular Automata.

Alejandro Morán, Christiam F. Frasser, Josep L. Rosselló

CoRR, 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

A surface site interaction point methodology for macromolecules and huge molecular databases.

Antoni Oliver, Christopher A. Hunter, Rafel Prohens, Josep L. Rosselló

J. Comput. Chem., 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

An analytical delay model for ReRAM memory cells.

Carol de Benito, Mohamad Moner Al Chawa, Josep L. Rosselló, Miquel Roca, Rodrigo Picos, Ioannis Messaris, Spiridon Nikolaidis

Proceedings of the 27th International Symposium on Power and Timing Modeling, 2017

Smart Hardware Implementation of Spiking Neural Networks.

Fabio Galán-Prado, Josep L. Rosselló

Proceedings of the Advances in Computational Intelligence, 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

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

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