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

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)

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

Compact Machine Learning Systems with Reconfigurable Computing. - Alejandro Morán Costoya (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)

Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces. - Alberto Martín-Martín; Rubén Padial-Allué; Encarnación Castillo; Luis Parrilla 001; Ignacio Parellada-Serrano; Alejandro Morán; Antonio García 001 (Sensors, 2024)