Francisco Förster

Orcid: 0000-0003-3459-2270

According to our database1, Francisco Förster authored at least 14 papers between 2015 and 2023.

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Bibliography

2023
Domain Adaptation via Minimax Entropy for Real/Bogus Classification of Astronomical Alerts.
CoRR, 2023

Multi-Class Deep SVDD: Anomaly Detection Approach in Astronomy with Distinct Inlier Categories.
CoRR, 2023

2022
Toward Fractal Development of Data Processing-Intensive Artificial Intelligence Systems.
IEEE Softw., 2022

Deep Attention-Based Supernovae Classification of Multi-Band Light-Curves.
CoRR, 2022

Managing the Root Causes of "Internal API Hell": An Experience Report.
Proceedings of the Product-Focused Software Process Improvement, 2022

2020
Alert Classification for the ALeRCE Broker System: The Real-time Stamp Classifier.
CoRR, 2020

2019
Enabling real-time multi-messenger astrophysics discoveries with deep learning.
CoRR, 2019

2018
Enhanced Rotational Invariant Convolutional Neural Network for Supernovae Detection.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Clustering of Astronomical Transient Candidates Using Deep Variational Embedding.
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.
CoRR, 2017

Deep-HiTS: Rotation Invariant Convolutional Neural Network for Transient Detection.
CoRR, 2017

2016
Correntropy based filtering for supernova detection.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Supernovae detection by using convolutional neural networks.
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.
Proceedings of the INNS Conference on Big Data 2015, 2015


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