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Journal Articles
- 2024
[j1]Osvaldo Gramaxo Freitas
, Juan Calderón Bustillo, José A. Font, Solange Nunes, António Onofre, Alejandro Torres-Forné:
Comparison of neural network architectures for feature extraction from binary black hole merger waveforms. Mach. Learn. Sci. Technol. 5(1): 15036 (2024)
Conference and Workshop Papers
- 2021
- [c3]João D. Álvares, José A. Font, Felipe F. Freitas, Osvaldo Gramaxo Freitas, António P. Morais, Solange Nunes, António Onofre, Alejandro Torres-Forné:
Gravitational-wave parameter inference using Deep Learning. CBMI 2021: 1-6 - 2016
- [c2]André Pereira, António Onofre, Alberto Proença:
Tuning pipelined scientific data analyses for efficient multicore execution. HPCS 2016: 751-758 - 2014
- [c1]André Pereira, António Onofre, Alberto Proença:
Removing Inefficiencies from Scientific Code: The Study of the Higgs Boson Couplings to Top Quarks. ICCSA (4) 2014: 576-591
Informal and Other Publications
- 2023
- [i3]Tiago S. Fernandes, Samuel J. Vieira, António Onofre, Juan Calderón Bustillo, Alejandro Torres-Forné, José A. Font:
Convolutional Neural Networks for the classification of glitches in gravitational-wave data streams. CoRR abs/2303.13917 (2023) - 2022
- [i2]João Aveiro, Felipe F. Freitas, Márcio Ferreira, António Onofre, Constança Providência, Gonçalo Gonçalves, José A. Font:
Identification of Binary Neutron Star Mergers in Gravitational-Wave Data Using YOLO One-Shot Object Detection. CoRR abs/2207.00591 (2022) - [i1]Gonçalo Gonçalves, Márcio Ferreira, João Aveiro, António Onofre, Felipe F. Freitas, Constança Providência, José A. Font:
Machine-Learning Love: classifying the equation of state of neutron stars with Transformers. CoRR abs/2210.08382 (2022)
Coauthor Index
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