Joan Font-Rosselló

17 papers C 1Journal 8Unranked 8
YearRankTypeTitle / 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
2024 — conf
Tropical Pruning Strategies for ANN optimization in IoT.
DCIS
Murti Bär, Lluc Crespí-Castañer, Joan Font-Rosselló, Alejandro Morán, Vicent Canals, 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
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
2023 — conf
Stochastic Computing-based on-chip Training Circuitry for Reservoir Computing Systems.
DCIS
Fabio Galán-Prado, Joan Font-Rosselló, Miquel Roca, Josep L. Rosselló
2022 C conf
Hardware Implementation of Stochastic Computing-based Morphological Neural Systems.
ISCAS
Josep L. Rosselló, Joan Font-Rosselló, Christiam F. Frasser, Alejandro Morán, Erik S. Skibinsky-Gitlin, Vicent Canals, Miquel Roca
2022 — conf
Improving efficiency of a Stochastic Computing-based Morphological Neural Network.
DCIS
Erik S. Skibinsky-Gitlin, Joan Font-Rosselló, Christiam F. Frasser, Alejandro Morán, Vicens Canals, Miquel Roca, Josep L. Rosselló
2021 — conf
Exploiting Correlation in Stochastic Computing based Deep Neural Networks.
DCIS
Christiam F. Frasser, Pablo Linares-Serrano, Alejandro Morán, Joan Font-Rosselló, Vicent Canals, Miquel Roca, Teresa Serrano-Gotarredona, Josep L. Rosselló
2020 J jnl
Tropical Reservoir Computing Hardware.
IEEE Trans. Circuits Syst.
Fabio Galán-Prado, Joan Font-Rosselló, Josep L. Rosselló
2019 — conf
Morphological Reservoir Computing Hardware.
PATMOS
Fabio Galán-Prado, Joan Font-Rosselló, Josep L. Rosselló
2012 — conf
Fast and accurate estimation of gain and unity-gain bandwidth of an OpAmp.
ICECS
Rodrigo Picos, Joan Font-Rosselló, Eugeni García-Moreno, Antonio E. Teruel
2011 J jnl
Band-Pass Filter Design with Diagnosis Facilities Based on Predictive Techniques.
J. Electron. Test.
Joan Font-Rosselló, Eugeni Isern, Miquel Roca, Rodrigo Picos, Miquel Font-Rosselló, Eugeni García-Moreno
2001 J jnl
The PARIS concept: an experimental demonstration of sea surface altimetry using GPS reflected signals.
IEEE Trans. Geosci. Remote. Sens.
Manuel Martín-Neira, Marco Caparrini, Joan Font-Rosselló, Stephane Lannelongue, Circe Serra-Vallmitjana