A BIST-based Charge Analysis for Embedded Memories. - Bartomeu Alorda; Vicent Canals; Ivan de Paúl; Jaume Segura 001 (IOLTS, 2004)

A Two-Level Power-Grid Model for Transient Current Testing Evaluation. - Bartomeu Alorda; Vincent Canals; Jaume Segura 001 (J. Electron. Test., 2004)

A Fast Concurrent Power-Thermal Model for Sub-100nm Digital ICs. - José Luis Rosselló; Vicent Canals; Sebastià A. Bota; Ali Keshavarzi; Jaume Segura 001 (DATE, 2005)

A Fully CMOS Low-Cost Chaotic Neural Network. - José Luis Rosselló; Sebastià A. Bota; Vicent Canals; Ivan de Paúl; Jaume Segura 001 (IJCNN, 2006)

Using stochastic logic for efficient pattern recognition analysis. - José Luis Rosselló; Vincent Canals; Ivan de Paúl; Jaume Segura 001 (IJCNN, 2008)

A simple CMOS chaotic integrated circuit. - José Luis Rosselló; Vincent Canals; Ivan de Paúl; Sebastià A. Bota; Antoni Morro (IEICE Electron. Express, 2008)

Self-configuring spiking neural networks. - José Luis Rosselló; Ivan de Paúl; Vincent Canals (IEICE Electron. Express, 2008)

Spiking Neural Network Self-configuration for Temporal Pattern Recognition Analysis. - José Luis Rosselló; Ivan de Paúl; Vincent Canals; Antoni Morro (ICANN (1), 2009)

Practical Hardware Implementation of Self-configuring Neural Networks. - José Luis Rosselló; Vincent Canals; Antoni Morro; Ivan de Paúl (ISNN (3), 2009)

Chaos-Based Mixed Signal Implementation of Spiking Neurons. - José Luis Rosselló; Vincent Canals; Antoni Morro; Jaume Verd (Int. J. Neural Syst., 2009)

Hardware implementation of stochastic-based Neural Networks. - José Luis Rosselló; Vincent Canals; Antoni Morro (IJCNN, 2010)

Stochastic-based pattern-recognition analysis. - Vincent Canals; Antoni Morro; José Luis Rosselló (Pattern Recognit. Lett., 2010)

Multi-subject Project Based Learning initiative. - Bartomeu Alorda; Jaume Verd; Vincent Canals; Kay Suenaga; V. Martinez (EDUCON, 2012)

Probabilistic-based neural network implementation. - José Luis Rosselló; Vincent Canals; Antoni Morro (IJCNN, 2012)

Hardware Implementation of Stochastic Spiking Neural Networks. - José Luis Rosselló; Vincent Canals; Antoni Morro; Antoni Oliver 002 (Int. J. Neural Syst., 2012)

Stochastic Spiking Neural Networks at the EDGE of CHAOS. - José Luis Rosselló; Vicent Canals; Antoni Oliver 002; Antoni Morro (IJCNN, 2014)

Low-cost hardware implementation of Reservoir Computers. - Miquel L. Alomar; Vicent Canals; Víctor Martínez-Moll; José Luis Rosselló (PATMOS, 2014)

Studying the Role of Synchronized and Chaotic Spiking Neural Ensembles in Neural Information Processing. - José Luis Rosselló; Vicent Canals; Antoni Oliver 002; Antoni Morro (Int. J. Neural Syst., 2014)

Noise-robust hardware implementation of neural networks. - Vincent Canals; Miquel L. Alomar; Antoni Morro; Antoni Oliver 002; Josep L. Rosselló (IJCNN, 2015)

Stochastic-Based Implementation of Reservoir Computers. - Miquel L. Alomar; Vincent Canals; Víctor Martínez-Moll; José Luis Rosselló (IWANN (2), 2015)

Short-Term Spanish Aggregated Solar Energy Forecast. - Nicolas Perez-Mora; Vincent Canals; Víctor Martínez-Moll (IWANN (2), 2015)

An unconventional computing technique for ultra-fast and ultra-low power data mining. - Vincent Canals; Antoni Morro; Antoni Oliver 002; Miquel Lleo Alomar; Josep L. Rosselló (PATMOS, 2015)

Digital Implementation of a Single Dynamical Node Reservoir Computer. - Miquel L. Alomar; Miguel C. Soriano; Miguel Angel Escalona-Morán; Vincent Canals; Ingo Fischer; Claudio R. Mirasso; José Luis Rosselló (IEEE Trans. Circuits Syst. II Express Briefs, 2015)

Stochastic hardware implementation of Liquid State Machines. - Miquel L. Alomar; Vincent Canals; Antoni Morro; Antoni Oliver 002; Josep L. Rosselló (IJCNN, 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)

High-Density Liquid-State Machine Circuitry for Time-Series Forecasting. - Josep L. Rosselló; Miquel L. Alomar; Antoni Morro; Antoni Oliver 002; Vincent Canals (Int. J. Neural Syst., 2016)

A New Stochastic Computing Methodology for Efficient Neural Network Implementation. - Vincent Canals; Antoni Morro; Antoni Oliver 002; Miquel L. Alomar; Josep L. Rosselló (IEEE Trans. Neural Networks Learn. Syst., 2016)

Noise tolerant probabilistic logic for statistical pattern recognition applications. - Vicent Canals; Christiam F. Frasser; Miquel L. Alomar; Antoni Morro; Antoni Oliver 002; Miquel Roca 001; Eugeni Isern 001; Víctor Martínez-Moll; Eugenio García-Moreno; Josep L. Rosselló (Integr. Comput. Aided Eng., 2017)

Cyclic Reservoir Computing with FPGA Devices for Efficient Channel Equalization. - Erik S. Skibinsky-Gitlin; Miquel L. Alomar; Christiam F. Frasser; Vincent Canals; Eugeni Isern 001; Miquel Roca 001; Josep L. Rosselló (ICAISC (1), 2018)

Reservoir Computing Hardware for Time Series Forecasting. - Erik S. Skibinsky-Gitlin; Miquel L. Alomar; Eugeni Isern 001; Miquel Roca 001; Vincent Canals; Josep L. Rosselló (PATMOS, 2018)

A Stochastic Spiking Neural Network for Virtual Screening. - Antoni Morro; Vicent Canals; Antoni Oliver 002; Miquel L. Alomar; Fabio Galán-Prado; Pedro J. Ballester; José Luis Rosselló (IEEE Trans. Neural Networks Learn. Syst., 2018)

Self-Organizing Maps hybrid Implementation Based on Stochastic Computing. - Alejandro Morán; Josep L. Rosselló; Miquel Roca 001; Eugeni Isern 001; Víctor Martínez-Moll; Vincent Canals (DCIS, 2019)

FPGA Implementation of Random Vector Functional Link Networks based on Elementary Cellular Automata. - Alejandro Morán; Vincent Canals; Miquel Roca 001; Eugeni Isern 001; Josep L. Rosselló (DCIS, 2020)

SoC Kohonen Maps Based on Stochastic Computing. - Alejandro Morán; Josep L. Rosselló; Miquel Roca 001; Vincent Canals (IJCNN, 2020)

Stochastic-based Neural Network hardware acceleration for an efficient ligand-based virtual screening. - Christiam F. Frasser; Carola de Benito; Vincent Canals; Miquel Roca 001; Pedro J. Ballester; Josep L. Rosselló (CoRR, 2020)

Fully-parallel Convolutional Neural Network Hardware. - Christiam F. Frasser; Pablo Linares-Serrano; Vicent Canals; Miquel Roca 001; Teresa Serrano-Gotarredona; Josep L. Rosselló (CoRR, 2020)

Efficient parallel implementation of reservoir computing systems. - Miquel L. Alomar; Erik S. Skibinsky-Gitlin; Christiam F. Frasser; Vincent Canals; Eugeni Isern 001; Miquel Roca 001; Josep L. Rosselló (Neural Comput. Appl., 2020)

Exploiting Correlation in Stochastic Computing based Deep Neural Networks. - Christiam F. Frasser; Pablo Linares-Serrano; Alejandro Morán; Joan Font-Rosselló; Vicent Canals; Miquel Roca 001; Teresa Serrano-Gotarredona; Josep L. Rosselló (DCIS, 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 001; Miquel Roca 001; Josep L. Rosselló (DCIS, 2021)

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 001 (ISCAS, 2022)

Approximate arithmetic aware training for stochastic computing neural networks. - Christiam F. Frasser; Alejandro Morán; Vincent Canals; Joan Font; Eugeni Isern 001; Miquel Roca 001; Josep L. Rosselló (DCIS, 2023)

Digital Implementation of Radial Basis Function Neural Networks Based on Stochastic Computing. - Alejandro Morán; Luis Parrilla 001; Miquel Roca 001; Joan Font-Rosselló; Eugeni Isern 001; Vincent Canals (IEEE J. Emerg. Sel. Topics Circuits Syst., 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 001 (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Hardware-Optimized Reservoir Computing System for Edge Intelligence Applications. - Alejandro Morán; Vincent Canals; Fabio Galán-Prado; Christian F. Frasser; Dhinakar Radhakrishnan; Saeid Safavi 003; Josep L. Rosselló (Cogn. Comput., 2023)

Corrections to "Digital implementation of Radial Basis Function Neural Networks Based on Stochastic Computing". - Alejandro Morán Costoya; Luís Parrilla Roure; Miquel Roca 001; Joan Font-Rosselló; Eugeni Isern 001; Vincent Canals (IEEE J. Emerg. Sel. Topics Circuits Syst., 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 001; Teresa Serrano-Gotarredona; Josep L. Rosselló (IEEE Trans. Neural Networks Learn. Syst., 2023)

Tropical Pruning Strategies for ANN optimization in IoT. - Murti Bär; Lluc Crespí-Castañer; Joan Font-Rosselló; Alejandro Morán; Vicent Canals; Miquel Roca 001; Josep L. Rosselló (DCIS, 2024)