Francisco Förster

According to our database, Francisco Förster authored at least 15 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Temporal Stamp Classifier: Classifying Short Sequences of Astronomical Alerts.

Daniel Neira O., Pablo A. Estévez, Francisco Förster

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts.

Guillermo Cabrera-Vives, César Bolivar, Francisco Förster, Alejandra Muñoz Arancibia, Manuel Pérez-Carrasco, Esteban Reyes

CoRR, 2023

Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories.

Manuel Pérez-Carrasco, Guillermo Cabrera-Vives, Lorena Hernández-García, Francisco Förster, Paula Sánchez-Sáez, Alejandra Muñoz Arancibia, Nicolás Astorga, Franz E. Bauer, Amelia Bayo, Martina Cádiz-Leyton, Márcio Catelán

CoRR, 2023

2022

Toward Fractal Development of Data Processing-Intensive Artificial Intelligence Systems.

Diego Rodríguez-Mancini, Zheng Li, Camilo Valenzuela, Guillermo Cabrera-Vives, Francisco Förster

IEEE Softw., 2022

Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves.

Óscar Pimentel, Pablo A. Estévez, Francisco Förster

CoRR, 2022

Managing the Root Causes of "Internal API Hell": An Experience Report.

Guillermo Cabrera-Vives, Zheng Li, Austen Rainer, Dionysis Athanasopoulos, Diego Rodríguez-Mancini, Francisco Förster

Proceedings of the Product-Focused Software Process Improvement, 2022

2020

Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier.

Rodrigo Carrasco-Davis, Esteban Reyes, Camilo Valenzuela, Francisco Förster, Pablo A. Estévez, Giuliano Pignata, Franz E. Bauer, Ignacio Reyes, Paula Sánchez-Sáez, Guillermo Cabrera-Vives, Susana Eyheramendy, Márcio Catelán, Javier Arredondo, Ernesto Castillo-Navarrete, Diego Rodríguez-Mancini, Daniela Ruz-Mieres, Alberto Moya, Luis Sabatini-Gacitúa, Cristóbal Sepúlveda-Cobo, Ashish Mahabal, Javier Silva-Farfán, Ernesto Camacho-Iñiquez, Lluís Galbany

CoRR, 2020

2019

Enabling real-time multi-messenger astrophysics discoveries with deep learning.

Eliu A. Huerta, Gabrielle Allen, Igor Andreoni, Javier Mauricio Antelis, Etienne Bachelet, G. Bruce Berriman, Federica B. Bianco, Rahul Biswas, Matias Carrasco Kind, Kyle Chard, Minsik Cho, Philip S. Cowperthwaite, Zachariah B. Etienne, Maya Fishbach, Francisco Förster, Daniel George, Tom Gibbs, Matthew J. Graham, William Gropp, Robert A. Gruendl, Anushri Gupta, Roland Haas, Sarah Habib, Elise Jennings, Margaret W. G. Johnson, Erik Katsavounidis, Daniel S. Katz, Asad Khan, Volodymyr V. Kindratenko, William T. C. Kramer, Xin Liu, Ashish Mahabal, Zsuzsa Márka, Kenton McHenry, Jonah Miller, Claudia Moreno, Mark S. Neubauer, Steve Oberlin, Alexander R. Olivas, Donald Petravick, Adam Rebei, Shawn Rosofsky, Milton Ruiz, Aaron Saxton, Bernard F. Schutz, Alexander G. Schwing, Ed Seidel, Stuart L. Shapiro, Hongyu Shen, Yue Shen, Leo Singer, Brigitta M. Sipocz, Lunan Sun, John Towns, Antonios Tsokaros, Wei Wei, Jack Wells, Timothy J. Williams, Jinjun Xiong, Zhizhen Zhao

CoRR, 2019

2018

Enhanced Rotational Invariant Convolutional Neural Network for Supernovae Detection.

Esteban Reyes, Pablo A. Estévez, Ignacio Reyes, Guillermo Cabrera-Vives, Pablo Huijse, Rodrigo Carrasco, Francisco Förster

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Clustering of Astronomical Transient Candidates Using Deep Variational Embedding.

Nicolas Astorga, Pablo Huijse, Pablo A. Estévez, Francisco Förster

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

2017

Robust period estimation using mutual information for multi-band light curves in the synoptic survey era.

Pablo Huijse, Pablo A. Estévez, Francisco Förster, Scott F. Daniel, Andrew J. Connolly, Pavlos Protopapas, Rodrigo Carrasco, José C. Príncipe

CoRR, 2017

Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection.

Guillermo Cabrera-Vives, Ignacio Reyes, Francisco Förster, Pablo A. Estévez, Juan-Carlos Maureira

CoRR, 2017

2016

Correntropy based filtering for supernova detection.

Pablo Huentelemu, Pablo A. Estévez, Francisco Förster

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Supernovae detection by using convolutional neural networks.

Guillermo Cabrera-Vives, Ignacio Reyes, Francisco Förster, Pablo A. Estévez, Juan-Carlos Maureira

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Discriminating Variable Star Candidates in Large Image Databases from the HiTS Survey Using NMF.

Pablo Huijse, Pablo A. Estévez, Francisco Förster, Emanuel Berrocal

Proceedings of the INNS Conference on Big Data 2015, 2015