Projects per year
Personal profile
Research Interests
His research interests include machine learning, specifically deep learning (neural networks). Currently, he focuses on machine learning models for transportation data, applying deep learning models on remote sensing (recurrent, convolutional neural networks, and transformers), and the ability of deep learning models to transfer learned patterns over different domains.
Key Words
Applied Machine learning, Neural Networks, Deep Learning, Transfer Learning
Profession
Civil Engineer in Computer Science, Universidad Técnica Federico Santa María 2007
Education/Academic qualification
PhD, Purdue University
Award Date: 8 Aug 2014
Master, Purdue University
Award Date: 7 May 2011
Master, Universidad Técnica Federico Santa María
Award Date: 19 Jan 2007
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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IT24I0144: Intrusion.aware: Plataforma integral para detectar y responder ciberataques usando inteligencia artificial responsable
Torres, R. (Director), Fernandez, T. (Alternate Director), Bórquez, D. (Researcher) & Moreno, S. (Researcher)
Agencia Nacional de Investigación y Desarrollo
16/08/24 → 16/08/26
Project: Research
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11230076: Statistical relational models for OD-matrix estimation and behavioral mobility patterns
Moreno, S. (Principal Investigator)
Agencia Nacional de Investigación y Desarrollo
15/03/23 → 14/03/26
Project: Research
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ID18I10216: Desarrollo de tecnologías de Big Data para aumentar la retención y el éxito de estudiantes universitarios
Pereira, J. (Alternate Director) & Moreno, S. (Researcher)
Comisión Nacional de Investigación Científica y Tecnológica
1/01/19 → 1/01/21
Project: Research
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CNN Sensitivity Analysis for Land Cover Map Models Using Sparse and Heterogeneous Satellite Data
Moreno, S., Lopatin, J., Corvalán, D. & Bravo-Diaz, A., 2025, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 27th Iberoamerican Congress, CIARP 2024, Proceedings. Hernández-García, R., Barrientos, R. J. & Velastin, S. A. (eds.). Springer Science and Business Media Deutschland GmbH, p. 63-77 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15368 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Convolutional neural network models with low spatial variability hamper the transfer learning process
Bravo-Diaz, A., Moreno, S. & Lopatin, J., Jul 2025, In: Neural Computing and Applications. 37, 19, p. 13927-13942 16 p.Research output: Contribution to journal › Article › peer-review
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AC-PLT: An algorithm for computer-assisted coding of semantic property listing data
Ramos, D., Moreno, S., Canessa, E., Chaigneau, S. E. & Marchant, N., Apr 2024, In: Behavior Research Methods. 56, 4, p. 3366-3379 14 p.Research output: Contribution to journal › Article › peer-review
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Describing and understanding the time course of the property listing task
Canessa, E., Chaigneau, S. E. & Moreno, S., Feb 2024, In: Cognitive Processing. 25, 1, p. 61-74 14 p.Research output: Contribution to journal › Article › peer-review
3 Scopus citations -
Evaluating the ability of convolutional neural networks for transfer learning in Pinus radiata cover predictions
Bravo-Diaz, A., Moreno, S. & Lopatin, J., Sep 2024, In: Ecological Informatics. 82, 102684.Research output: Contribution to journal › Article › peer-review
Open Access4 Scopus citations
Press/Media
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University of Adolfo Ibanez Researchers Update Knowledge of Mathematics (Urban Origin-Destination Travel Time Estimation Using K-Nearest-Neighbor-Based Methods)
Yushimito, W., Lagos, F. & Moreno, S.
15/05/24
1 item of Media coverage
Press/Media