Noise tolerant probabilistic logic for statistical pattern recognition applications. - Vicent Canals; Christiam F. Frasser; Miquel L. Alomar; Antoni Morro; Antoni Oliver 002; Miquel Roca 001; Eugeni Isern 001; Víctor Martínez-Moll; Eugenio García-Moreno; Josep L. Rosselló (Integr. Comput. Aided Eng., 2017)

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 with Cellular Automata. - Alejandro Morán; Christiam F. Frasser; Josep L. Rosselló (CoRR, 2018)

Stochastic-based Neural Network hardware acceleration for an efficient ligand-based virtual screening. - Christiam F. Frasser; Carola de Benito; Vincent Canals; Miquel Roca 001; Pedro J. Ballester; Josep L. Rosselló (CoRR, 2020)

Fully-parallel Convolutional Neural Network Hardware. - Christiam F. Frasser; Pablo Linares-Serrano; Vicent Canals; Miquel Roca 001; Teresa Serrano-Gotarredona; Josep L. Rosselló (CoRR, 2020)

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)

Energy-Efficient Pattern Recognition Hardware With Elementary Cellular Automata. - Alejandro Morán; Christiam F. Frasser; Miquel Roca 001; Josep L. Rosselló (IEEE Trans. Computers, 2020)

Exploiting Correlation in Stochastic Computing based Deep Neural Networks. - Christiam F. Frasser; Pablo Linares-Serrano; Alejandro Morán; Joan Font-Rosselló; Vicent Canals; Miquel Roca 001; Teresa Serrano-Gotarredona; Josep L. Rosselló (DCIS, 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 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)

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)

Approximate arithmetic aware training for stochastic computing neural networks. - Christiam F. Frasser; Alejandro Morán; Vincent Canals; Joan Font; Eugeni Isern 001; Miquel Roca 001; Josep L. Rosselló (DCIS, 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)