Alejandro Morán

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Top Venues

IEEE J. Emerg. Sel. Topics Circuits Syst.

Publications

Alberto Martín-Martín, Rubén Padial-Allué, Encarnación Castillo, Luis Parrilla, Ignacio Parellada-Serrano, Alejandro Morán, Antonio García
Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces. Sensors 24 (3) (2024)
Josep L. Rosselló, Joan Font-Rosselló, Christiam F. Frasser, Alejandro Morán, Erik S. Skibinsky-Gitlin, Vincent Canals, Miquel Roca
Highly Optimized Hardware Morphological Neural Network Through Stochastic Computing and Tropical Pruning. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (1) (2023)
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
Fully Parallel Stochastic Computing Hardware Implementation of Convolutional Neural Networks for Edge Computing Applications. IEEE Trans. Neural Networks Learn. Syst. 34 (12) (2023)
Christiam F. Frasser, Alejandro Morán, Vincent Canals, Joan Font, Eugeni Isern, Miquel Roca, Josep L. Rosselló
Approximate arithmetic aware training for stochastic computing neural networks. DCIS (2023)
Alejandro Morán, Vincent Canals, Fabio Galán-Prado, Christian F. Frasser, Dhinakar Radhakrishnan, Saeid Safavi, Josep L. Rosselló
Hardware-Optimized Reservoir Computing System for Edge Intelligence Applications. Cogn. Comput. 15 (5) (2023)
Alejandro Morán, Luis Parrilla, Miquel Roca, Joan Font-Rosselló, Eugeni Isern, Vincent Canals
Digital Implementation of Radial Basis Function Neural Networks Based on Stochastic Computing. IEEE J. Emerg. Sel. Topics Circuits Syst. 13 (1) (2023)
Josep L. Rosselló, Joan Font-Rosselló, Christiam F. Frasser, Alejandro Morán, Erik S. Skibinsky-Gitlin, Vicent Canals, Miquel Roca
Hardware Implementation of Stochastic Computing-based Morphological Neural Systems. ISCAS (2022)
Erik S. Skibinsky-Gitlin, Joan Font-Rosselló, Christiam F. Frasser, Alejandro Morán, Vicens Canals, Miquel Roca, Josep L. Rosselló
Improving efficiency of a Stochastic Computing-based Morphological Neural Network. DCIS (2022)
Alejandro Morán, Vincent Canals, Plamen P. Angelov, Christian F. Frasser, Erik S. Skibinsky-Gitlin, Joan Font, Eugeni Isern, Miquel Roca, Josep L. Rosselló
Stochastic Computing co-processing elements for Evolving Autonomous Data Partitioning. DCIS (2021)
Christiam F. Frasser, Pablo Linares-Serrano, Alejandro Morán, Joan Font-Rosselló, Vicent Canals, Miquel Roca, Teresa Serrano-Gotarredona, Josep L. Rosselló
Exploiting Correlation in Stochastic Computing based Deep Neural Networks. DCIS (2021)
Alejandro Morán, Josep L. Rosselló, Miquel Roca, Vincent Canals
SoC Kohonen Maps Based on Stochastic Computing. IJCNN (2020)
Alejandro Morán, Christiam F. Frasser, Miquel Roca, Josep L. Rosselló
Energy-Efficient Pattern Recognition Hardware With Elementary Cellular Automata. IEEE Trans. Computers 69 (3) (2020)
Alejandro Morán, Vincent Canals, Miquel Roca, Eugeni Isern, Josep L. Rosselló
FPGA Implementation of Random Vector Functional Link Networks based on Elementary Cellular Automata. DCIS (2020)
Fabio Galán-Prado, Alejandro Morán, Joan Font, Miquel Roca, Josep L. Rosselló
Compact Hardware Synthesis of Stochastic Spiking Neural Networks. Int. J. Neural Syst. 29 (8) (2019)
Fabio Galán-Prado, Alejandro Morán, Joan Font, Miquel Roca, Josep L. Rosselló
Stochastic Radial Basis Neural Networks. PATMOS (2019)
Alejandro Morán, Josep L. Rosselló, Miquel Roca, Eugeni Isern, Víctor Martínez-Moll, Vincent Canals
Self-Organizing Maps hybrid Implementation Based on Stochastic Computing. DCIS (2019)
Alejandro Morán, Christiam F. Frasser, Josep L. Rosselló
Reservoir Computing Hardware with Cellular Automata. CoRR (2018)