Erik S. Skibinsky-Gitlin

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 et al. · IEEE Transactions on Neural Networks and Learning Systems · 2022 · 47 citations

Convolutional Neural Network, Edge Computing Applications, Machine Learning +19

Efficient parallel implementation of reservoir computing systems

Miquel L. Alomar, Erik S. Skibinsky-Gitlin, Christiam F. Frasser et al. · Neural Computing and Applications · 2018 · 32 citations

Cluster Computing, Engineering, Parallel Processing +8

Reservoir Computing Hardware for Time Series Forecasting

Erik S. Skibinsky-Gitlin, Miquel L. Alomar, E. Isern et al. · 2018 · 11 citations

Highly Optimized Hardware Morphological Neural Network Through Stochastic Computing and Tropical Pruning

Josep L. Rosselló, J. Font, Christiam F. Frasser et al. · IEEE Journal on Emerging and Selected Topics in Circuits and Systems · 2022 · 11 citations

Efficient, non-stochastic, Monte-Carlo-like-accurate method for the calculation of the temperature-dependent mobility in nanocrystal films

Francisco M. Gómez‐Campos, Erik S. Skibinsky-Gitlin, Marco Califano · Nanoscale · 2018 · 10 citations