P. Bonfini

Telio (Norway) — Norway

Physics and Astronomy · Physical Sciences

11h-index320citations43works1.42yr avg
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Research Topics

Astronomy and Astrophysical Research(24), Stellar, planetary, and galactic studies(23), Galaxies: Formation, Evolution, Phenomena(19), Astronomical Observations and Instrumentation(12), Astrophysical Phenomena and Observations(8)

Publications43 total

Failure Evaluation of Steel Plate Shear Walls in Multi-Storey Steel Buildings Under Seismic Excitation Using Convolutional Neural Networks
Materials·2026Open Access
Searching for a signature of turnaround in galaxy clusters with convolutional neural networks
Springer Link (Chiba Institute of Technology)·2025
Searching for a signature of turnaround in galaxy clusters with convolutional neural networks
Astronomy and Astrophysics·2025Open Access
Assessing the Impact of Renewable Energy Sources on Energy Economics
2025
Quantum neural networks with data re-uploading for urban traffic time series forecasting
Scientific Reports·2025· 5 citedOpen Access
Searching for a signature of turnaround in galaxy clusters with convolutional neural networks
arXiv (Cornell University)·2024Open Access
From seagull to hummingbird: New diagnostic methods for resolving galaxy activity
Astronomy and Astrophysics·2024· 1 citedOpen Access
From seagull to hummingbird: New diagnostic methods for resolving galaxy activity
arXiv (Cornell University)·2024Open Access
Towards Automated Model Selection for Wind Speed and Solar Irradiance Forecasting
Sensors·2024· 7 citedOpen Access
Introducing Hermes: Executing Clinical Quality Language (CQL) at over 66 Million Resources per Second (inexpensively)
arXiv (Cornell University)·2022· 1 citedOpen Access
Using machine learning to investigate the populations of dusty evolved stars in various metallicities
arXiv (Cornell University)·2022Open Access
A machine-learning photometric classifier for massive stars in nearby galaxies
Astronomy and Astrophysics·2022· 17 citedOpen Access
Using machine learning to investigate the populations of dusty evolved stars in various metallicities
Proceedings of the International Astronomical Union·2022Open Access
A machine-learning photometric classifier for massive stars in nearby galaxies I. The method
Lirias (KU Leuven)·2022Open Access
A new automated tool for the spectral classification of OB stars
Springer Link (Chiba Institute of Technology)·2022· 10 cited
The Star Formation Reference Survey – V. The effect of extinction, stellar mass, metallicity, and nuclear activity on star-formation rates based on H α emission
Monthly Notices of the Royal Astronomical Society·2021· 20 citedOpen Access
The star formation reference survey – IV. Stellar mass distribution of local star-forming galaxies
Monthly Notices of the Royal Astronomical Society·2021· 4 citedOpen Access
Census and classification of low-surface-brightness structures in nearby early-type galaxies from the MATLAS survey
Monthly Notices of the Royal Astronomical Society·2020· 75 citedOpen Access
Sub-galactic scaling relations between X-ray luminosity, star formation rate, and stellar mass
Monthly Notices of the Royal Astronomical Society·2020· 29 citedOpen Access
Probing the building blocks of galaxies: Sub-galactic scaling relations between X-ray luminosity, SFR and stellar mass
Proceedings of the International Astronomical Union·2019
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Frequent Co-authors

A. Zezas(15), G. Maravelias(10), T. Bitsakis(8), K. Kouroumpatzakis(6), S. P. Willner(6), Gustavo Bruzual(6), M. L. N. Ashby(5), A. Z. Bonanos(5), F. Tramper(5), S. de Wit(5), Paul H. Sell(4), Alexandros Maragkoudakis(4), Rosa A. González‐Lópezlira(4), Dennis Zaritsky(4), S. Charlot(4), Víctor Hugo Ramírez-Siordia(4), Ming Yang(4), G. Fabbiano(4), Konstantinos Kovlakas(3), M. Birkinshaw(3)