Karim Pichara

Publication Activity (10 Years)

Years Active: 2008-2023
Publications (10 Years): 16

Top Topics

Dempster Shafer

Gaussian Process

False Positives

Top Venues

Astron. Comput.

IEEE Trans. Learn. Technol.

Internet High. Educ.

Publications

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 (2023)
Francisco Pérez-Galarce, Karim Pichara, Pablo Huijse, Márcio Catelán, Domingo Mery
Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift. Astron. Comput. 43 (2023)
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 (2023)
Olga Graf, Pablo Flores, Pavlos Protopapas, Karim Pichara
Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian Physics-Informed Neural Networks. CoRR (2022)
Francisco Pérez-Galarce, Karim Pichara, Pablo Huijse, Márcio Catelán, Domingo Mery
Informative Bayesian model selection for RR Lyrae star classifiers. CoRR (2021)
Olga Graf, Pablo Flores, Pavlos Protopapas, Karim Pichara
Uncertainty Quantification in Neural Differential Equations. CoRR (2021)
Ignacio Becker, Karim Pichara, Márcio Catelán, Pavlos Protopapas, Carlos Aguirre, Fatemeh Nikzat
Scalable End-to-end Recurrent Neural Network for Variable star classification. CoRR (2020)
Felipe Rojas, Loïc Maurin, Rolando Dünner, Karim Pichara
Classifying CMB time-ordered data through deep neural networks. CoRR (2020)
Lukas Zorich, Karim Pichara, Pavlos Protopapas
Streaming Classification of Variable Stars. CoRR (2019)
Javiera Astudillo, Pavlos Protopapas, Karim Pichara, Pablo Huijse
An Information Theory Approach on Deciding Spectroscopic Follow Ups. CoRR (2019)
Christian Pieringer, Karim Pichara, Márcio Catelán, Pavlos Protopapas
An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves. CoRR (2019)
Carlos Aguirre, Karim Pichara, Ignacio Becker
Deep multi-survey classification of variable stars. CoRR (2018)
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) (2018)
Mauricio Solar, Amelia Bayo, Nuria P. F. Lorente, Karim Pichara
Astronomical data analysis software and systems. Astron. Comput. 25 (2018)
Augusto Sandoval, Carlos Gonzalez, Rosa Alarcón, Karim Pichara, Maximiliano Montenegro
Centralized student performance prediction in large courses based on low-cost variables in an institutional context. Internet High. Educ. 37 (2018)
Cristóbal Mackenzie, Karim Pichara, Pavlos Protopapas
Clustering Based Feature Learning on Variable Stars. CoRR (2016)
Karim Pichara, Alvaro Soto
Local feature selection using Gaussian process regression. Intell. Data Anal. 18 (3) (2014)
Isadora nun, Karim Pichara, Pavlos Protopapas, Dae-Won Kim
Supervised detection of anomalous light-curves in massive astronomical catalogs. CoRR (2014)
Karim Pichara, Pavlos Protopapas
Automatic Classification of Variable Stars in Catalogs with missing data. CoRR (2013)
Karim Pichara, Alvaro Soto
Active learning and subspace clustering for anomaly detection. Intell. Data Anal. 15 (2) (2011)
Karim Pichara, Alvaro Soto, Anita Araneda
Detection of Anomalies in Large Datasets Using an Active Learning Scheme Based on Dirichlet Distributions. IBERAMIA (2008)