| Parametric curves to trace the TMS coils windings P Syrek, R Bărbulescu 2017 10th International Symposium on Advanced Topics in Electrical …, 2017 | 8 | 2017 |
| Learning the dynamics of realistic models of C. elegans nervous system with recurrent neural networks R Barbulescu, G Mestre, AL Oliveira, LM Silveira Scientific Reports 13 (1), 467, 2023 | 7 | 2023 |
| Reduced order models of myelinated axonal compartments D Ioan, R Bărbulescu, LM Silveira, G Ciuprina Journal of computational neuroscience 47, 141-166, 2019 | 7 | 2019 |
| Simple 1d models for neuro-signals transmission along axons R Bărbulescu, D Ioan, J Ciurea 2016 international conference and exposition on electrical and power …, 2016 | 4 | 2016 |
| Coupled macromodels for the simulation of the saltatory conduction R Barbulescu, D Ioan, G Ciuprina UPB Scientific Bulletin Series C, 2019 | 3 | 2019 |
| Multi-scale and reduced modelling of biological systems R Bărbulescu, D Ioan 2015 9th International Symposium on Advanced Topics in Electrical …, 2015 | 3 | 2015 |
| Black-box model reduction of the C. Elegans nervous system* R Bărbulescu, LM Silveira 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 2 | 2021 |
| Parametric macromodels for the RF behaviour of capacitive switches AS Lup, G Ciuprina, D Ioan, R Barbulescu, A Duca, M Popescu 2018 International Symposium on Fundamentals of Electrical Engineering …, 2018 | 2 | 2018 |
| Simple hierarchical models of the Transcranial Magnetic Stimulation D Ioan, R Bărbulescu, J Ciurea, G Ciuprina, P Syrek 2017 10th International Symposium on Advanced Topics in Electrical …, 2017 | 2 | 2017 |
| Intelligent Particle Swarm Optimization of Superconducting Magnetic Energy Storage devices R Bărbulescu, AS Lup, G Ciuprina, D Ioan, AE Yilmaz 2014 International Symposium on Fundamentals of Electrical Engineering …, 2014 | 2 | 2014 |
| Modelling Neuronal Behaviour with Time Series Regression: Recurrent Neural Networks on C. Elegans Data G Mestre, R Barbulescu, AL Oliveira, LM Silveira arXiv preprint arXiv:2107.06762, 2021 | 1 | 2021 |
| Modeling the saltatory conduction in myelinated axons by order reduction R Barbulescu, D Ioan, G Ciuprina International Journal of Biomedical and Biological Engineering 12 (8), 333-336, 2018 | 1 | 2018 |
| Coupled multiphysics-RF reduced models for MEMS G Ciuprina, D Ioan, AS Lup, M Popescu, R Barbulescu, A Stefanescu 2016 IEEE 1st International Conference on Power Electronics, Intelligent …, 2016 | 1 | 2016 |
| Matching the Neuronal Representations of V1 is Necessary to Improve Robustness in CNNs with V1-like Front-ends R Barbulescu, T Marques, AL Oliveira arXiv preprint arXiv:2310.10575, 2023 | | 2023 |
| Machine Learning Techniques to Model Highly Nonlinear Multi-field Dynamics R Barbulescu, G Ciuprina, A Duca, LM Silveira International Conference on Scientific Computing in Electrical Engineering …, 2022 | | 2022 |
| Modelling neuronal behaviour with time series regression: Recurrent Neural Networks on synthetic C. elegans data GLC Mestre, R Barbulescu, AL Oliveira, LM Silveira | | 2021 |
| Efficient model reduction of myelinated compartments as port-Hamiltonian systems R Barbulescu, G Ciuprina, T Ionescu, D Ioan, LM Silveira Scientific Computing in Electrical Engineering: SCEE 2020, Eindhoven, The …, 2021 | | 2021 |
| Efficient model reduction of myelinated axons as port-Hamiltonian systems R Barbulescu, G Ciuprina, T Ionescu, D Ioan, LM Silveira | | |
Daniel IOANProfessor of Electrical Engineering, Polytechnic Univ. Bucharest Подтвержден адрес электронной почты в домене lmn.pub.ro
