Miquel L. Alomar

According to our database, Miquel L. Alomar authored at least 14 papers between 2014 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Efficient parallel implementation of reservoir computing systems.

Miquel L. Alomar, Erik S. Skibinsky-Gitlin, Christiam F. Frasser, Vincent Canals, Eugeni Isern, Miquel Roca, Josep L. Rosselló

Neural Comput. Appl., 2020

2018

A Stochastic Spiking Neural Network for Virtual Screening.

Antoni Morro, Vicent Canals, Antoni Oliver, Miquel L. Alomar, Fabio Galán-Prado, Pedro J. Ballester, José Luis Rosselló

IEEE Trans. Neural Networks Learn. Syst., 2018

Reservoir Computing Hardware for Time Series Forecasting.

Erik S. Skibinsky-Gitlin, Miquel L. Alomar, Eugeni Isern, Miquel Roca, Vincent Canals, Josep L. Rosselló

Proceedings of the 28th International Symposium on Power and Timing Modeling, 2018

Cyclic Reservoir Computing with FPGA Devices for Efficient Channel Equalization.

Erik S. Skibinsky-Gitlin, Miquel L. Alomar, Christiam F. Frasser, Vincent Canals, Eugeni Isern, Miquel Roca, Josep L. Rosselló

Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017

Noise tolerant probabilistic logic for statistical pattern recognition applications.

Vicent Canals, Christiam F. Frasser, Miquel L. Alomar, Antoni Morro, Antoni Oliver, Miquel Roca, Eugeni Isern, Víctor Martínez-Moll, Eugenio García-Moreno, Josep L. Rosselló

Integr. Comput. Aided Eng., 2017

2016

A New Stochastic Computing Methodology for Efficient Neural Network Implementation.

Vincent Canals, Antoni Morro, Antoni Oliver, Miquel L. Alomar, Josep L. Rosselló

IEEE Trans. Neural Networks Learn. Syst., 2016

High-Density Liquid-State Machine Circuitry for Time-Series Forecasting.

Josep L. Rosselló, Miquel L. Alomar, Antoni Morro, Antoni Oliver, Vincent Canals

Int. J. Neural Syst., 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

Stochastic hardware implementation of Liquid State Machines.

Miquel L. Alomar, Vincent Canals, Antoni Morro, Antoni Oliver, Josep L. Rosselló

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Digital Implementation of a Single Dynamical Node Reservoir Computer.

Miquel L. Alomar, Miguel C. Soriano, Miguel Angel Escalona-Moran, Vincent Canals, Ingo Fischer, Claudio R. Mirasso, José Luis Rosselló

IEEE Trans. Circuits Syst. II Express Briefs, 2015

An unconventional computing technique for ultra-fast and ultra-low power data mining.

Vincent Canals, Antoni Morro, Antoni Oliver, Miquel Lleo Alomar, Josep L. Rosselló

Proceedings of the 25th International Workshop on Power and Timing Modeling, 2015

Stochastic-Based Implementation of Reservoir Computers.

Miquel L. Alomar, Vincent Canals, Víctor Martínez-Moll, José Luis Rosselló

Proceedings of the Advances in Computational Intelligence, 2015

Noise-robust hardware implementation of neural networks.

Vincent Canals, Miquel L. Alomar, Antoni Morro, Antoni Oliver, Josep L. Rosselló

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

Low-cost hardware implementation of Reservoir Computers.

Miquel L. Alomar, Vicent Canals, Víctor Martínez-Moll, José Luis Rosselló

Proceedings of the 24th International Workshop on Power and Timing Modeling, 2014