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)

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)

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)

Performance/Resources Comparison of Hardware Implementations on Fully Connected Network Inference. - Randy Lozada; Jorge Ruiz; Manuel Luis González Hernandez; Javier Sedano; José R. Villar 001; Ángel Miguel García-Vico; Erik S. Skibinsky-Gitlin (IDEAL, 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)

FAS-CT: FPGA-Based Acceleration System with Continuous Training. - Manuel Luis González Hernandez; Jorge Ruiz; Randy Lozada; Erik Sebastian Skibinsky Gitlin; Ángel Miguel García-Vico; Javier Sedano; José Ramón Villar 001 (FedCSIS (Communication Papers), 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)

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)

Deep Learning Inference on Edge: A Preliminary Device Comparison. - Manuel Luis González Hernandez; Jorge Ruiz; Lidia Andrés; Randy Lozada; Erik S. Skibinsky-Gitlin; Jorge Fernández 007; Javier Sedano; Ángel Miguel García-Vico (IDEAL (1), 2024)