Pavlos Protopapas
Pavlos Protopapas
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The eleventh and twelfth data releases of the Sloan Digital Sky Survey: final data from SDSS-III
S Alam, FD Albareti, CA Prieto, F Anders, SF Anderson, T Anderton, ...
The Astrophysical Journal Supplement Series 219 (1), 12, 2015
Finding anomalous periodic time series: An application to catalogs of periodic variable stars
U Rebbapragada, P Protopapas, CE Brodley, C Alcock
Machine learning 74, 281-313, 2009
Supporting exact indexing of arbitrarily rotated shapes and periodic time series under euclidean and warping distance measures
E Keogh, L Wei, X Xi, M Vlachos, SH Lee, P Protopapas
The VLDB journal 18, 611-630, 2009
The automatic learning for the rapid classification of events (ALeRCE) alert broker
F Förster, G Cabrera-Vives, E Castillo-Navarrete, PA Estévez, ...
The Astronomical Journal 161 (5), 242, 2021
Combined reconstruction of weak and strong lensing data with wslap
JM Diego, M Tegmark, P Protopapas, HB Sandvik
Monthly Notices of the Royal Astronomical Society 375 (3), 958-970, 2007
Planck and the local Universe: Quantifying the tension
L Verde, P Protopapas, R Jimenez
Physics of the Dark Universe 2 (3), 166-175, 2013
Non-parametric inversion of strong lensing systems
JM Diego, P Protopapas, HB Sandvik, M Tegmark
Monthly Notices of the Royal Astronomical Society 360 (2), 477-491, 2005
T-cgan: Conditional generative adversarial network for data augmentation in noisy time series with irregular sampling
G Ramponi, P Protopapas, M Brambilla, R Janssen
arXiv preprint arXiv:1811.08295, 2018
Neurodiffeq: A python package for solving differential equations with neural networks
F Chen, D Sondak, P Protopapas, M Mattheakis, S Liu, D Agarwal, ...
Journal of Open Source Software 5 (46), 1931, 2020
The EPOCH Project-I. Periodic variable stars in the EROS-2 LMC database
DW Kim, P Protopapas, CAL Bailer-Jones, YI Byun, SW Chang, ...
Astronomy & Astrophysics 566, A43, 2014
Finding outlier light curves in catalogues of periodic variable stars
P Protopapas, JM Giammarco, L Faccioli, MF Struble, R Dave, C Alcock
Monthly Notices of the Royal Astronomical Society 369 (2), 677-696, 2006
Quasi-stellar object selection algorithm using time variability and machine learning: Selection of 1620 quasi-stellar object candidates from MACHO Large Magellanic Cloud database
DW Kim, P Protopapas, YI Byun, C Alcock, R Khardon, M Trichas
The Astrophysical Journal 735 (2), 68, 2011
Computational intelligence challenges and applications on large-scale astronomical time series databases
P Huijse, PA Estevez, P Protopapas, JC Principe, P Zegers
IEEE Computational Intelligence Magazine 9 (3), 27-39, 2014
Hamiltonian neural networks for solving equations of motion
M Mattheakis, D Sondak, AS Dogra, P Protopapas
Physical Review E 105 (6), 065305, 2022
Non-parametric mass reconstruction of A1689 from strong lensing data with the Strong Lensing Analysis Package
JM Diego, HB Sandvik, P Protopapas, M Tegmark, N Benítez, ...
Monthly Notices of the Royal Astronomical Society 362 (4), 1247-1258, 2005
Physical symmetries embedded in neural networks
M Mattheakis, P Protopapas, D Sondak, M Di Giovanni, E Kaxiras
arXiv preprint arXiv:1904.08991, 2019
Detection of time lags between quasar continuum emission bands based on Pan-STARRS light curves
YF Jiang, PJ Green, JE Greene, E Morganson, Y Shen, A Pancoast, ...
The Astrophysical Journal 836 (2), 186, 2017
Deep learning for image sequence classification of astronomical events
R Carrasco-Davis, G Cabrera-Vives, F Förster, PA Estévez, P Huijse, ...
Publications of the Astronomical Society of the Pacific 131 (1004), 108006, 2019
Supervised detection of anomalous light curves in massive astronomical catalogs
I Nun, K Pichara, P Protopapas, DW Kim
The Astrophysical Journal 793 (1), 23, 2014
An information theoretic algorithm for finding periodicities in stellar light curves
P Huijse, PA Estevez, P Protopapas, P Zegers, JC Principe
IEEE Transactions on Signal Processing 60 (10), 5135-5145, 2012
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