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Juan C. Cuevas-Tello on Muck Rack

Juan C. Cuevas-Tello

As seen in: MDPI, Journal of Sensors
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Articles

GraViT: Transfer Learning with Vision Transformers and MLP-Mixer for Strong Gravitational Lens Discovery

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By Juan C. Cuevas-Tello, Anupreeta More, Octavio Valenzuela, Tomás Verdugo
| arXiv
[Submitted on 29 Aug 2025] Title:GraViT: Transfer Learning with Vision Transformers and MLP-Mixer for Strong Gravitational Lens Discovery View a PDF of the paper titled GraViT: Transfer Learning with Vision Transformers and MLP-Mixer for Strong Gravitational Lens Discovery, by Ren\'e Parlange and 5 other authors View PDF HTML (experimental) Abstract:Gravitational lensing offers a powerful probe into the properties of dark matter and is crucial to infer cosmological parameters.
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A Machine Learning-Based Computational Methodology for Predicting Acute Respiratory Infections Using Social Media Data

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By Juan C. Cuevas-Tello, Daniel E. Noyola, Jose Manuel Blanco González, José Manuel, Jose Manuel Ramos-Varela
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Static Malware Analysis Using Low-Parameter Machine Learning Models

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By Alejandra Guadalupe Silva-Trujillo, Juan C. Cuevas-Tello, José Ignacio Núñez-Varela, Baker del Aguila
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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