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Karim Pichara
Karim Pichara
Co-founder & CTO at NotCo. Associate Professor Computer Science, School of Engineering, UC Chile
Verified email at ing.puc.cl
Title
Cited by
Cited by
Year
The Vista Variables in the Via Lactea (VVV) ESO Public Survey: Current Status and First Results
M Catelan, D Minniti, PW Lucas, J Alonso-Garcia, R Angeloni, JC Beamin, ...
arXiv preprint arXiv:1105.1119, 2011
772011
Centralized student performance prediction in large courses based on low-cost variables in an institutional context
A Sandoval, C Gonzalez, R Alarcon, K Pichara, M Montenegro
The Internet and Higher Education 37, 76-89, 2018
692018
Supervised detection of anomalous light-curves in massive astronomical catalogs
I Nun, K Pichara, P Protopapas, DW Kim
The Astrophysical Journal 793 (1), 2014
672014
FATS: FEATURE ANALYSIS FOR TIME SERIES
I Nun, P Protopapas, B Sim, M Zhu, R Dave, N Castro, K Pichara
http://arxiv.org/abs/1506.00010, 2015
562015
Clustering-based feature learning on variable stars
C Mackenzie, K Pichara, P Protopapas
The Astrophysical Journal 820 (2), 138, 2016
522016
Automatic classification of variable stars in catalogs with missing data
K Pichara, P Protopapas
The Astrophysical Journal 777 (2), 83, 2013
512013
An improved quasar detection method in EROS‐2 and MACHO LMC data sets
K Pichara, P Protopapas, DW Kim, JB Marquette, P Tisserand
Monthly Notices of the Royal Astronomical Society 427 (2), 1284-1297, 2012
512012
Scalable end-to-end recurrent neural network for variable star classification
I Becker, K Pichara, M Catelan, P Protopapas, C Aguirre, F Nikzat
Monthly Notices of the Royal Astronomical Society 493 (2), 2981-2995, 2020
492020
The vvv templates project towards an automated classification of vvv light-curves-i. building a database of stellar variability in the near-infrared
R Angeloni, RC Ramos, M Catelan, I Dekany, F Gran, J Alonso-García, ...
Astronomy & Astrophysics 567, A100, 2014
452014
Deep multi-survey classification of variable stars
C Aguirre, K Pichara, I Becker
Monthly Notices of the Royal Astronomical Society 482 (4), 5078-5092, 2019
412019
Unsupervised classification of variable stars
L Valenzuela, K Pichara
Monthly Notices of the Royal Astronomical Society 474 (3), 3259-3272, 2018
402018
Meta Classification for Variable Stars
K Pichara, P Protopapas, D León
The Astrophysical Journal, 2016
392016
Photometric classification of quasars from RCS-2 using Random Forest
BCHSL D. Carrasco, L. F. Barrientos, K. Pichara, T. Anguita, D. N. A. Murphy ...
Astronomy & Astrophysics 584 (A44), 17, 2015
37*2015
Photometric Classification of quasars from RCS-2 using Random Forest
D Carrasco, F Barrientos, K Pichara, T Anguita, D Murphy, D Gilbank, ...
sumitted to the Astrophysical Journal, 2014
372014
Automatic survey-invariant classification of variable stars
P Benavente, P Protopapas, K Pichara
The Astrophysical Journal 845 (2), 147, 2017
312017
Uncertain classification of variable stars: handling observational GAPS and noise
N Castro, P Protopapas, K Pichara
The Astronomical Journal 155 (1), 16, 2017
232017
Active learning and subspace clustering for anomaly detection
K Pichara, A Soto
Intelligent Data Analysis 15 (2), 151-171, 2011
222011
The VISTA Variables in the Vía Láctea infrared variability catalogue (VIVA-I)
CE Ferreira Lopes, NJG Cross, M Catelan, D Minniti, M Hempel, ...
Monthly Notices of the Royal Astronomical Society 496 (2), 1730-1756, 2020
202020
Systems and methods to mimic target food items using artificial intelligence
K Pichara, P Zamora, M Muchnick, O Vásquez
US Patent 11,164,478, 2021
142021
Streaming classification of variable stars
L Zorich, K Pichara, P Protopapas
Monthly Notices of the Royal Astronomical Society 492 (2), 2897-2909, 2020
132020
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Articles 1–20