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Karim Pichara
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2020 – today
- 2023
- [j6]Francisco Pérez-Galarce
, Karim Pichara, Pablo Huijse
Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift. Astron. Comput. 43: 100694 (2023) - [i14]Francisco Pérez-Galarce, Karim Pichara, Pablo Huijse, Márcio Catelán, Domingo Mery:
Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift. CoRR abs/2303.06544 (2023) - [i13]Helem Salinas, Karim Pichara, Rafael Brahm, Francisco Pérez-Galarce, Domingo Mery:
Distinguishing a planetary transit from false positives: a Transformer-based classification for planetary transit signals. CoRR abs/2304.14283 (2023) - 2022
- [i12]Olga Graf, Pablo Flores, Pavlos Protopapas, Karim Pichara:
Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian Physics-Informed Neural Networks. CoRR abs/2212.06965 (2022) - 2021
- [i11]Francisco Pérez-Galarce, Karim Pichara, Pablo Huijse, Márcio Catelán
Informative Bayesian model selection for RR Lyrae star classifiers. CoRR abs/2105.11531 (2021) - [i10]Olga Graf, Pablo Flores, Pavlos Protopapas, Karim Pichara:
Uncertainty Quantification in Neural Differential Equations. CoRR abs/2111.04207 (2021) - 2020
- [i9]Ignacio Becker, Karim Pichara, Márcio Catelán
Scalable End-to-end Recurrent Neural Network for Variable star classification. CoRR abs/2002.00994 (2020) - [i8]Felipe Rojas, Loïc Maurin
Classifying CMB time-ordered data through deep neural networks. CoRR abs/2004.06226 (2020)
2010 – 2019
- 2019
- [i7]Christian Pieringer, Karim Pichara, Márcio Catelán
An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves. CoRR abs/1903.03254 (2019) - [i6]Javiera Astudillo, Pavlos Protopapas, Karim Pichara, Pablo Huijse:
An Information Theory Approach on Deciding Spectroscopic Follow Ups. CoRR abs/1911.02444 (2019) - [i5]Lukas Zorich, Karim Pichara, Pavlos Protopapas:
Streaming Classification of Variable Stars. CoRR abs/1912.02235 (2019) - 2018
- [j5]Mauricio Solar
Astronomical data analysis software and systems. Astron. Comput. 25: 203-204 (2018) - [j4]Augusto Sandoval, Carlos Gonzalez
Centralized student performance prediction in large courses based on low-cost variables in an institutional context. Internet High. Educ. 37: 76-89 (2018) - [j3]Monserrat Peralta, Rosa Alarcón, Karim Pichara, Tomas Mery, Felipe Cano, Jorge Bozo
Understanding Learning Resources Metadata for Primary and Secondary Education. IEEE Trans. Learn. Technol. 11(4): 456-467 (2018) - [i4]Carlos Aguirre, Karim Pichara, Ignacio Becker:
Deep multi-survey classification of variable stars. CoRR abs/1810.09440 (2018) - 2016
- [i3]Cristóbal Mackenzie, Karim Pichara, Pavlos Protopapas:
Clustering Based Feature Learning on Variable Stars. CoRR abs/1602.08977 (2016) - 2014
- [j2]Karim Pichara, Alvaro Soto:
Local feature selection using Gaussian process regression. Intell. Data Anal. 18(3): 319-336 (2014) - [e1]Ana L. C. Bazzan, Karim Pichara:
Advances in Artificial Intelligence - IBERAMIA 2014 - 14th Ibero-American Conference on AI, Santiago de Chile, Chile, November 24-27, 2014, Proceedings. Lecture Notes in Computer Science 8864, Springer 2014, ISBN 978-3-319-12026-3 [contents] - [i2]Isadora nun, Karim Pichara, Pavlos Protopapas, Dae-Won Kim:
Supervised detection of anomalous light-curves in massive astronomical catalogs. CoRR abs/1404.4888 (2014) - 2013
- [i1]Karim Pichara, Pavlos Protopapas:
Automatic Classification of Variable Stars in Catalogs with missing data. CoRR abs/1310.7868 (2013) - 2011
- [j1]Karim Pichara, Alvaro Soto:
Active learning and subspace clustering for anomaly detection. Intell. Data Anal. 15(2): 151-171 (2011)
2000 – 2009
- 2008
- [c1]Karim Pichara
Detection of Anomalies in Large Datasets Using an Active Learning Scheme Based on Dirichlet Distributions. IBERAMIA 2008: 163-172
Coauthor Index
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