| Efficient parallel implementation of reservoir computing systems ML Alomar, ES Skibinsky-Gitlin, CF Frasser, V Canals, E Isern, M Roca, ... Neural Computing and Applications 32, 2299-2313, 2020 | 24 | 2020 |
| Fully parallel stochastic computing hardware implementation of convolutional neural networks for edge computing applications CF Frasser, P Linares-Serrano, ID de los Rios, A Morán, ... IEEE Transactions on Neural Networks and Learning Systems, 2022 | 15 | 2022 |
| Band-like electron transport in 2D quantum dot periodic lattices: the effect of realistic size distributions ES Skibinsky-Gitlin, S Rodríguez-Bolívar, M Califano, FM Gómez-Campos Physical Chemistry Chemical Physics 21 (46), 25872-25879, 2019 | 12 | 2019 |
| Reservoir computing hardware for time series forecasting ES Skibinsky-Gitlin, ML Alomar, E Isern, M Roca, V Canals, JL Rossello 2018 28th international symposium on power and timing modeling, optimization …, 2018 | 11 | 2018 |
| Efficient, non-stochastic, Monte-Carlo-like-accurate method for the calculation of the temperature-dependent mobility in nanocrystal films FM Gómez-Campos, S Rodríguez-Bolívar, ES Skibinsky-Gitlin, M Califano Nanoscale 10 (20), 9679-9690, 2018 | 11 | 2018 |
| Cyclic reservoir computing with FPGA devices for efficient channel equalization ES Skibinsky-Gitlin, ML Alomar, CF Frasser, V Canals, E Isern, M Roca, ... Artificial Intelligence and Soft Computing: 17th International Conference …, 2018 | 8 | 2018 |
| Optical properties of nanocrystal films: blue shifted transitions as signature of strong coupling ES Skibinsky-Gitlin, S Rodríguez-Bolívar, M Califano, FM Gómez-Campos Nanoscale Advances 2 (1), 384-393, 2020 | 6 | 2020 |
| Using stochastic computing for virtual screening acceleration CF Frasser, C de Benito, ES Skibinsky-Gitlin, V Canals, J Font-Rosselló, ... Electronics 10 (23), 2981, 2021 | 5 | 2021 |
| Highly optimized hardware morphological neural network through stochastic computing and tropical pruning JL Rosselló, J Font-Rosselló, CF Frasser, A Morán, ES Skibinsky-Gitlin, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems 13 (1 …, 2022 | 3 | 2022 |
| Hardware implementation of stochastic computing-based morphological neural systems JL Rosselló, J Font-Rosselló, CF Frasser, A Morán, ES Skibinsky-Gitlin, ... 2022 IEEE International Symposium on Circuits and Systems (ISCAS), 356-360, 2022 | 3 | 2022 |
| New strategies for colloidal-quantum-dot-based intermediate-band solar cells M Califano, ES Skibinsky-Gitlin, FM Gómez-Campos, S Rodríguez-Bolívar The Journal of Chemical Physics 151 (15), 2019 | 3 | 2019 |
| Stochastic computing co-processing elements for evolving autonomous data partitioning A Morán, V Canals, PP Angelov, CF Frasser, ES Skibinsky-Gitlin, J Font, ... 2021 XXXVI Conference on Design of Circuits and Integrated Systems (DCIS), 1-6, 2021 | 2 | 2021 |
| Fpga-based echo-state networks ES Skibinsky-Gitlin, ML Alomar, V Canals, CF Frasser, E Isern, ... International Conference on Time Series and Forecasting, 135-146, 2018 | 2 | 2018 |
| Exploring the implementation of LSTM inference on FPGA ML González, R Lozada, J Ruiz, ES Skibinsky-Gitlin, ÁM García-Vico, ... 2023 3rd International Conference on Electrical, Computer, Communications …, 2023 | 1 | 2023 |
| Performance/Resources Comparison of Hardware Implementations on Fully Connected Network Inference R Lozada, J Ruiz, ML González, J Sedano, JR Villar, ÁM García-Vico, ... International Conference on Intelligent Data Engineering and Automated …, 2022 | 1 | 2022 |
| Optical Absorption in N-Dimensional Colloidal Quantum Dot Arrays: Influence of Stoichiometry and Applications in Intermediate Band Solar Cells RVH Hahn, S Rodríguez-Bolívar, P Rodosthenous, ES Skibinsky-Gitlin, ... Nanomaterials 12 (19), 3387, 2022 | 1 | 2022 |
| Performance/Resources Comparison of Hardware Implementations on Fully Connected Network Inference M Garcıa-Vico, ES Skibinsky-Gitlin Intelligent Data Engineering and Automated Learning–IDEAL 2022: 23rd …, 2022 | | 2022 |
| Improving efficiency of a Stochastic Computing-based Morphological Neural Network ES Skibinsky-Gitlin, J Font-Rosselló, CF Frasser, A Morán, V Canals, ... 2022 37th Conference on Design of Circuits and Integrated Circuits (DCIS), 01-06, 2022 | | 2022 |
| Optical Absorption in N-Dimensional Colloidal Quantum Dot Arrays: Influence of Stoichiometry and Applications in Intermediate Band Solar Cells RV Herrero Hahn, S Rodríguez Bolívar, ES Skibinsky Gitlin, ... MDPI, 2022 | | 2022 |
| Band-like transport in “green” quantum dot films: The effect of composition and stoichiometry P Rodosthenous, ES Skibinsky-Gitlin, S Rodríguez-Bolívar, M Califano, ... The Journal of Chemical Physics 156 (10), 2022 | | 2022 |
