First machine learning gravitational-wave search mock data challenge MB Schäfer, O Zelenka, AH Nitz, H Wang, S Wu, ZK Guo, Z Cao, Z Ren, ... Physical Review D 107 (2), 023021, 2023 | 23 | 2023 |
Deep residual networks for gravitational wave detection P Nousi, AE Koloniari, N Passalis, P Iosif, N Stergioulas, A Tefas Physical Review D 108 (2), 024022, 2023 | 12 | 2023 |
Equilibrium sequences of differentially rotating stars with post-merger-like rotational profiles P Iosif, N Stergioulas Monthly Notices of the Royal Astronomical Society 503 (1), 850-866, 2021 | 12 | 2021 |
Models of binary neutron star remnants with tabulated equations of state P Iosif, N Stergioulas Monthly Notices of the Royal Astronomical Society 510 (2), 2948-2967, 2022 | 9 | 2022 |
On the accuracy of the IWM–CFC approximation in differentially rotating relativistic stars P Iosif, N Stergioulas General Relativity and Gravitation 46 (10), 1800, 2014 | 9 | 2014 |
Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling P Nousi, SC Fragkouli, N Passalis, P Iosif, T Apostolatos, G Pappas, ... Neurocomputing 491, 67-77, 2022 | 6 | 2022 |
Deep residual error and bag-of-tricks learning for gravitational wave surrogate modeling SC Fragkouli, P Nousi, N Passalis, P Iosif, N Stergioulas, A Tefas Applied Soft Computing 147, 110746, 2023 | 4 | 2023 |
The IWM–CFC approximation in differentially rotating relativistic stars P Iosif, N Stergioulas Journal of Physics: Conference Series 453 (1), 012004, 2013 | 4 | 2013 |
Differentially Rotating Relativistic Stars beyond the J-Constant Law P Iosif, N Stergioulas Physical Sciences Forum 2 (1), 62, 2021 | 1 | 2021 |
Correction to: Models of binary neutron star remnants with tabulated equations of state P Iosif, N Stergioulas Monthly Notices of the Royal Astronomical Society 517 (2), 1601-1601, 2022 | | 2022 |
Models of Relativistic Stars as Neutron Star Merger Remnants P Iosif Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Σχολή Θετικών Επιστημών. Τμήμα …, 2021 | | 2021 |