Accelerating sparse deep neural networks A Mishra, JA Latorre, J Pool, D Stosic, D Stosic, G Venkatesh, C Yu, ... arXiv preprint arXiv:2104.08378, 2021 | 212 | 2021 |
Collective behavior of cryptocurrency price changes D Stosic, D Stosic, TB Ludermir, T Stosic Physica A: Statistical Mechanics and its Applications 507, 499-509, 2018 | 139 | 2018 |
FP8 Formats for Deep Learning P Micikevicius, D Stosic, N Burgess, M Cornea, P Dubey, R Grisenthwaite, ... arXiv preprint arXiv:2209.05433, 2022 | 117 | 2022 |
Multifractal properties of price change and volume change of stock market indices D Stošić, D Stošić, T Stošić, HE Stanley Physica A: Statistical Mechanics and its Applications 428, 46-51, 2015 | 85 | 2015 |
Multifractal behavior of price and volume changes in the cryptocurrency market D Stosic, D Stosic, TB Ludermir, T Stosic Physica A: Statistical Mechanics and Its Applications 520, 54-61, 2019 | 83 | 2019 |
Pinning of magnetic skyrmions in a monolayer Co film on Pt (111): Theoretical characterization and exemplified utilization D Stosic, TB Ludermir, MV Milošević Physical Review B 96 (21), 214403, 2017 | 76 | 2017 |
Paths to collapse for isolated skyrmions in few-monolayer ferromagnetic films D Stosic, J Mulkers, B Van Waeyenberge, T Ludermir, MV Milošević Physical Review B 95 (21), 214418, 2017 | 69 | 2017 |
Foreign exchange rate entropy evolution during financial crises D Stosic, D Stosic, T Ludermir, W de Oliveira, T Stosic Physica A: statistical mechanics and its applications 449, 233-239, 2016 | 68 | 2016 |
Multifractal analysis of managed and independent float exchange rates D Stošić, D Stošić, T Stošić, HE Stanley Physica A: Statistical Mechanics and its Applications 428, 13-18, 2015 | 60 | 2015 |
Exploring disorder and complexity in the cryptocurrency space D Stosic, D Stosic, TB Ludermir, T Stosic Physica A: Statistical Mechanics and Its Applications 525, 548-556, 2019 | 42 | 2019 |
Microscaling data formats for deep learning BD Rouhani, R Zhao, A More, M Hall, A Khodamoradi, S Deng, ... arXiv preprint arXiv:2310.10537, 2023 | 29 | 2023 |
QRNN: -Generalized Random Neural Network D Stosic, D Stosic, C Zanchettin, T Ludermir, B Stosic IEEE transactions on neural networks and learning systems 28 (2), 383-390, 2016 | 20 | 2016 |
Voting based q-generalized extreme learning machine D Stosic, D Stosic, T Ludermir Neurocomputing 174, 1021-1030, 2016 | 19 | 2016 |
Nonextensive triplets in cryptocurrency exchanges D Stosic, D Stosic, TB Ludermir, T Stosic Physica A: Statistical Mechanics and its Applications 505, 1069-1074, 2018 | 18 | 2018 |
Correlations of multiscale entropy in the FX market D Stosic, D Stosic, T Ludermir, T Stosic Physica A: Statistical Mechanics and its Applications 457, 52-61, 2016 | 16 | 2016 |
Multifractal characterization of Brazilian market sectors D Stosic, D Stosic, PSG de Mattos Neto, T Stosic Physica A: Statistical Mechanics and its Applications 525, 956-964, 2019 | 13 | 2019 |
Search spaces for neural model training D Stosic, D Stosic arXiv preprint arXiv:2105.12920, 2021 | 10 | 2021 |
GPU-advanced 3D electromagnetic simulations of superconductors in the Ginzburg–Landau formalism D Stošić, D Stošić, T Ludermir, B Stošić, MV Milošević Journal of Computational Physics 322, 183-198, 2016 | 9 | 2016 |
Generalized Weighted Permutation Entropy D Stosic, D Stosic, T Stosic, B Stosic Chaos: An Interdisciplinary Journal of Nonlinear Science 32 (10), 103105, 2022 | 6 | 2022 |
Natural image segmentation with non-extensive mixture models D Stosic, D Stosic, TB Ludermir, TI Ren Journal of Visual Communication and Image Representation 63, 102598, 2019 | 6 | 2019 |