| Performance versus complexity study of neural network equalizers in coherent optical systems PJ Freire, Y Osadchuk, B Spinnler, A Napoli, W Schairer, N Costa, ... Journal of Lightwave Technology 39 (19), 6085-6096, 2021 | 147 | 2021 |
| Innovative ferrite nanofibres reinforced soft magnetic composite with enhanced electrical resistivity J Füzer, M Strečková, S Dobák, Ľ Ďáková, P Kollár, M Fáberová, R Bureš, ... Journal of Alloys and Compounds 753, 219-227, 2018 | 66 | 2018 |
| Analysis of magnetic losses and complex permeability in novel soft magnetic composite with ferrite nanofibers J Füzer, S Dobák, P Kollár, Y Osadchuk, M Strečková, M Fáberová, ... IEEE Transactions on Magnetics 54 (12), 1-6, 2018 | 26 | 2018 |
| Experimental study of deep neural network equalizers performance in optical links PJ Freire, Y Osadchuk, B Spinnler, W Schairer, A Napoli, N Costa, ... 2021 Optical Fiber Communications Conference and Exhibition (OFC), 1-3, 2021 | 14 | 2021 |
| Deep neural network-aided soft-demapping in coherent optical systems: Regression versus classification PJ Freire, JE Prilepsky, Y Osadchuk, SK Turitsyn, V Aref IEEE Transactions on Communications 70 (12), 7973-7988, 2022 | 11 | 2022 |
| Reservoir-computing and neural-network-based equalization for short reach communication F Da Ros, SM Ranzini, Y Osadchuk, A Cem, BJG Castro, D Zibar Signal Processing in Photonic Communications, SpTu1J. 1, 2022 | 6 | 2022 |
| Reservoir computing-based multi-symbol equalization for PAM 4 short-reach transmission Y Osadchuk, O Jovanovic, D Zibar, F Da Ros CLEO: Science and Innovations, STu4G. 3, 2023 | 4 | 2023 |
| Neural networks based post-equalization in coherent optical systems: Regression versus classification PJ Freire, JE Prilepsky, Y Osadchuk, SK Turitsyn, V Aref arXiv preprint arXiv:2109.13843, 2021 | 4 | 2021 |
| Deep neural network-aided soft-demapping in optical coherent systems: Regression versus classification PJ Freire, JE Prilepsky, Y Osadchuk, SK Turitsyn, V Aref arXiv preprint arXiv:2109.13843, 2021 | 3 | 2021 |
| Low-complexity samples versus symbols-based neural network receiver for channel equalization Y Osadchuk, O Jovanovic, SM Ranzini, R Dischler, V Aref, D Zibar, ... Journal of Lightwave Technology, 2024 | 1 | 2024 |
| Samples vs. Symbols-based Feedforward Neural Network equalization for Short Reach Transmission Y Osadchuk, R Dischler, D Zibar, SM Ranzini, V Aref, F Da Ros 2022 IEEE Photonics Conference (IPC), 1-2, 2022 | 1 | 2022 |
| Experimental evaluation of computational complexity for different neural network equalizers in optical communications PJ Freire, Y Osadchuk, A Napoli, B Spinnler, W Schairer, N Costa, ... Asia Communications and Photonics Conference, M5H. 5, 2021 | 1 | 2021 |
| Multi-Symbol Reservoir Computing-based Equalization for PAM-4 IM/DD Transmission Y Osadchuk, O Jovanovic, D Zibar, F Da Ros IEEE Photonics Technology Letters, 2024 | | 2024 |
| Nonlinear Vector Autoregressor Equalization for PAM-4 Micro-Ring Modulator-based Short-Reach Transmission Y Osadchuk, D Kong, D Zibar, F Da Ros Optical Fiber Communication Conference, W1H. 4, 2024 | | 2024 |
| Machine learning for photonics: from computing to communication F Da Ros, A Cem, Y Osadchuk, O Jovanovic, D Zibar 2023 IEEE Photonics Society Summer Topicals Meeting Series (SUM), 1-2, 2023 | | 2023 |
| Neural Network based Post-Equalization in Optical Coherent Systems: Regression versus Classification PJ Freire, JE Prilepsky, Y Osadchuk, SK Turitsyn, V Aref | | |
