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

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)

Smart Hardware Implementation of Spiking Neural Networks. - Fabio Galán-Prado; Josep L. Rosselló (IWANN (1), 2017)

An analytical delay model for ReRAM memory cells. - Carol de Benito; Mohamad Moner Al Chawa; Josep L. Rosselló; Miquel Roca 001; Rodrigo Picos; Ioannis Messaris; Spiridon Nikolaidis 001 (PATMOS, 2017)

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)

A surface site interaction point methodology for macromolecules and huge molecular databases. - Antoni Oliver 002; Christopher A. Hunter; Rafel Prohens; Josep L. Rosselló (J. Comput. Chem., 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)

Reservoir Computing Hardware with Cellular Automata. - Alejandro Morán; Christiam F. Frasser; Josep L. Rosselló (CoRR, 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)

An improved methodology to compute surface site interaction points using high density molecular electrostatic potential surfaces. - Antoni Oliver 002; Christopher A. Hunter; Rafel Prohens; Josep L. Rosselló (J. Comput. Chem., 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)

Morphological Reservoir Computing Hardware. - Fabio Galán-Prado; Joan Font-Rosselló; Josep L. Rosselló (PATMOS, 2019)

Stochastic Radial Basis Neural Networks. - Fabio Galán-Prado; Alejandro Morán; Joan Font; Miquel Roca 001; Josep L. Rosselló (PATMOS, 2019)

Compact Hardware Synthesis of Stochastic Spiking Neural Networks. - Fabio Galán-Prado; Alejandro Morán; Joan Font; Miquel Roca 001; Josep L. Rosselló (Int. J. Neural Syst., 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)

Energy-Efficient Pattern Recognition Hardware With Elementary Cellular Automata. - Alejandro Morán; Christiam F. Frasser; Miquel Roca 001; Josep L. Rosselló (IEEE Trans. Computers, 2020)

Tropical Reservoir Computing Hardware. - Fabio Galán-Prado; Joan Font-Rosselló; Josep L. Rosselló (IEEE Trans. Circuits Syst., 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)

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 001; Josep L. Rosselló (DCIS, 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 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)

Stochastic Computing-based on-chip Training Circuitry for Reservoir Computing Systems. - Fabio Galán-Prado; Joan Font-Rosselló; Miquel Roca 001; Josep L. Rosselló (DCIS, 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)

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)

A Noniterative Supervised On-Chip Training Circuitry for Reservoir Computing Systems. - Fabio Galán-Prado; Josep L. Rosselló (IEEE Trans. Neural Networks Learn. Syst., 2024)