Alejandro Morán

Orcid: 0000-0001-7628-0019

According to our database1, Alejandro Morán authored at least 19 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Online presence:

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Bibliography

2024
Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces.
Sensors, February, 2024

2023
Fully Parallel Stochastic Computing Hardware Implementation of Convolutional Neural Networks for Edge Computing Applications.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Corrections to "Digital implementation of Radial Basis Function Neural Networks Based on Stochastic Computing".
IEEE J. Emerg. Sel. Topics Circuits Syst., September, 2023

Hardware-Optimized Reservoir Computing System for Edge Intelligence Applications.
Cogn. Comput., September, 2023

Highly Optimized Hardware Morphological Neural Network Through Stochastic Computing and Tropical Pruning.
IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

Digital Implementation of Radial Basis Function Neural Networks Based on Stochastic Computing.
IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

Approximate arithmetic aware training for stochastic computing neural networks.
Proceedings of the 38th Conference on Design of Circuits and Integrated Systems, 2023

2022
Compact Machine Learning Systems with Reconfigurable Computing.
PhD thesis, 2022

Hardware Implementation of Stochastic Computing-based Morphological Neural Systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Improving efficiency of a Stochastic Computing-based Morphological Neural Network.
Proceedings of the 37th Conference on Design of Circuits and Integrated Systems, 2022

2021
Stochastic Computing co-processing elements for Evolving Autonomous Data Partitioning.
Proceedings of the XXXVI Conference on Design of Circuits and Integrated Systems, 2021

Exploiting Correlation in Stochastic Computing based Deep Neural Networks.
Proceedings of the XXXVI Conference on Design of Circuits and Integrated Systems, 2021

2020
Energy-Efficient Pattern Recognition Hardware With Elementary Cellular Automata.
IEEE Trans. Computers, 2020

SoC Kohonen Maps Based on Stochastic Computing.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

FPGA Implementation of Random Vector Functional Link Networks based on Elementary Cellular Automata.
Proceedings of the XXXV Conference on Design of Circuits and Integrated Systems, 2020

2019
Compact Hardware Synthesis of Stochastic Spiking Neural Networks.
Int. J. Neural Syst., 2019

Stochastic Radial Basis Neural Networks.
Proceedings of the 29th International Symposium on Power and Timing Modeling, 2019

Self-Organizing Maps hybrid Implementation Based on Stochastic Computing.
Proceedings of the XXXIV Conference on Design of Circuits and Integrated Systems, 2019

2018
Reservoir Computing Hardware with Cellular Automata.
CoRR, 2018


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