Karim Pichara - RankMe

27 papers A 1Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A self-regulated convolutional neural network for classifying variable stars. CoRR Francisco Pérez-Galarce, Jorge Martínez-Palomera, Karim Pichara, Pablo Huijse, Márcio Catelán
2025	J	`jnl`	AI for Sustainable Future Foods. CoRR Bianca Datta, Markus J. Buehler, Yvonne Chow, Kristina Gligoric, Dan Jurafsky, David L. Kaplan, Rodrigo Ledesma-Amaro, Giorgia Del Missier, Lisa Neidhardt, Karim Pichara, Benjamín Sánchez-Lengeling, Miek Schlangen, Skyler R. St. Pierre, Ilias Tagkopoulos, Anna T. Thomas, Nicholas James Watson, Ellen Kuhl
2025	J	`jnl`	Exoplanet Transit Candidate Identification in TESS Full-Frame Images via a Transformer-Based Algorithm. CoRR Helem Salinas, Rafael Brahm, Greg Olmschenk, Richard K. Barry, Karim Pichara, Stela Ishitani Silva, Vladimir Araujo
2025	A	`conf`	Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles. UAI Pablo Flores, Olga Graf, Pavlos Protopapas, Karim Pichara
2025	J	`jnl`	Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles. CoRR Pablo Flores, Olga Graf, Pavlos Protopapas, Karim Pichara
2023	J	`jnl`	Distinguishing a planetary transit from false positives: a Transformer-based classification for planetary transit signals. CoRR Helem Salinas, Karim Pichara, Rafael Brahm, Francisco Pérez-Galarce, Domingo Mery
2023	J	`jnl`	Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift. Astron. Comput. Francisco Pérez-Galarce, Karim Pichara, Pablo Huijse, Márcio Catelán, Domingo Mery
2023	J	`jnl`	Informative regularization for a multi-layer perceptron RR Lyrae classifier under data shift. CoRR Francisco Pérez-Galarce, Karim Pichara, Pablo Huijse, Márcio Catelán, Domingo Mery
2022	J	`jnl`	Error-Aware B-PINNs: Improving Uncertainty Quantification in Bayesian Physics-Informed Neural Networks. CoRR Olga Graf, Pablo Flores, Pavlos Protopapas, Karim Pichara
2021	J	`jnl`	Informative Bayesian model selection for RR Lyrae star classifiers. CoRR Francisco Pérez-Galarce, Karim Pichara, Pablo Huijse, Márcio Catelán, Domingo Mery
2021	J	`jnl`	Uncertainty Quantification in Neural Differential Equations. CoRR Olga Graf, Pablo Flores, Pavlos Protopapas, Karim Pichara
2020	J	`jnl`	Classifying CMB time-ordered data through deep neural networks. CoRR Felipe Rojas, Loïc Maurin, Rolando Dünner, Karim Pichara
2020	J	`jnl`	Scalable End-to-end Recurrent Neural Network for Variable star classification. CoRR Ignacio Becker, Karim Pichara, Márcio Catelán, Pavlos Protopapas, Carlos Aguirre, Fatemeh Nikzat
2019	J	`jnl`	An Algorithm for the Visualization of Relevant Patterns in Astronomical Light Curves. CoRR Christian Pieringer, Karim Pichara, Márcio Catelán, Pavlos Protopapas
2019	J	`jnl`	An Information Theory Approach on Deciding Spectroscopic Follow Ups. CoRR Javiera Astudillo, Pavlos Protopapas, Karim Pichara, Pablo Huijse
2019	J	`jnl`	Streaming Classification of Variable Stars. CoRR Lukas Zorich, Karim Pichara, Pavlos Protopapas
2018	J	`jnl`	Astronomical data analysis software and systems. Astron. Comput. Mauricio Solar, Amelia Bayo, Nuria P. F. Lorente, Karim Pichara
2018	J	`jnl`	Centralized student performance prediction in large courses based on low-cost variables in an institutional context. Internet High. Educ. Augusto Sandoval, Carlos Gonzalez, Rosa Alarcón, Karim Pichara, Maximiliano Montenegro
2018	J	`jnl`	Deep multi-survey classification of variable stars. CoRR Carlos Aguirre, Karim Pichara, Ignacio Becker
2018	J	`jnl`	Understanding Learning Resources Metadata for Primary and Secondary Education. IEEE Trans. Learn. Technol. Monserrat Peralta, Rosa Alarcón, Karim Pichara, Tomas Mery, Felipe Cano, Jorge Bozo
2016	J	`jnl`	Clustering Based Feature Learning on Variable Stars. CoRR Cristóbal Mackenzie, Karim Pichara, Pavlos Protopapas
2014	—	`ed.`	Advances in Artificial Intelligence - IBERAMIA 2014 - 14th Ibero-American Conference on AI, Santiago de Chile, Chile, November 24-27, 2014, Proceedings IBERAMIA Ana L. C. Bazzan, Karim Pichara
2014	J	`jnl`	Local feature selection using Gaussian process regression. Intell. Data Anal. Karim Pichara, Alvaro Soto
2014	J	`jnl`	Supervised detection of anomalous light-curves in massive astronomical catalogs. CoRR Isadora nun, Karim Pichara, Pavlos Protopapas, Dae-Won Kim
2013	J	`jnl`	Automatic Classification of Variable Stars in Catalogs with missing data. CoRR Karim Pichara, Pavlos Protopapas
2011	J	`jnl`	Active learning and subspace clustering for anomaly detection. Intell. Data Anal. Karim Pichara, Alvaro Soto
2008	—	`conf`	Detection of Anomalies in Large Datasets Using an Active Learning Scheme Based on Dirichlet Distributions. IBERAMIA Karim Pichara, Alvaro Soto, Anita Araneda