Christiam F. Frasser

According to our database, Christiam F. Frasser authored at least 14 papers between 2017 and 2023.

Collaborative distances:

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

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, Teresa Serrano-Gotarredona, Josep L. Rosselló

IEEE Trans. Neural Networks Learn. Syst., December, 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

IEEE J. Emerg. Sel. Topics Circuits Syst., March, 2023

Approximate arithmetic aware training for stochastic computing neural networks.

Christiam F. Frasser, Alejandro Morán, Vincent Canals, Joan Font, Eugeni Isern, Miquel Roca, Josep L. Rosselló

Proceedings of the 38th Conference on Design of Circuits and Integrated Systems, 2023

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

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, Josep L. Rosselló

Proceedings of the 37th Conference on Design of Circuits and Integrated Systems, 2022

2021

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, Miquel Roca, Josep L. Rosselló

Proceedings of the XXXVI Conference on Design of Circuits and Integrated Systems, 2021

Exploiting Correlation in Stochastic Computing based Deep Neural Networks.

Christiam F. Frasser, Pablo Linares-Serrano, Alejandro Morán, Joan Font-Rosselló, Vicent Canals, Miquel Roca, Teresa Serrano-Gotarredona, Josep L. Rosselló

Proceedings of the XXXVI Conference on Design of Circuits and Integrated Systems, 2021

2020

Energy-Efficient Pattern Recognition Hardware With Elementary Cellular Automata.

Alejandro Morán, Christiam F. Frasser, Miquel Roca, Josep L. Rosselló

IEEE Trans. Computers, 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

Fully-parallel Convolutional Neural Network Hardware.

Christiam F. Frasser, Pablo Linares-Serrano, Vicent Canals, Miquel Roca, Teresa Serrano-Gotarredona, Josep L. Rosselló

CoRR, 2020

Stochastic-based Neural Network hardware acceleration for an efficient ligand-based virtual screening.

Christiam F. Frasser, Carola de Benito, Vincent Canals, Miquel Roca, Pedro J. Ballester, Josep L. Rosselló

CoRR, 2020

2018

Reservoir Computing Hardware with Cellular Automata.

Alejandro Morán, Christiam F. Frasser, Josep L. Rosselló

CoRR, 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