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Sebastian Moreno

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Sebastian Moreno, PhD

Doctor in Computer Science, Purdue University 2014

 https://orcid.org/0000-0001-5422-0656
20042026

Research activity 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

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  • Automatic Detection of Beggiatoa Microbial Mats in Salmon Farms Videos

    Martinez, N., Moreno, S., Plaza-Vega, F., Castillo, J. E. & Carrasco, M., 2026, In: IEEE Access. 14, p. 35356-35371 16 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access

  • Measuring the semantic priming effect across many languages

    Buchanan, E. M., Cuccolo, K., Heyman, T., van Berkel, N., Coles, N. A., Iyer, A., Peters, K., van ’t Veer, A. E., Montefinese, M., Maxwell, N. P., Taylor, J. E., Valentine, K. D., Arriaga, P., Barzykowski, K., Boucher, L., Collins, W. M., Vaidis, D. C., Aczel, B., Al-Hoorie, A. H. & Ambrosini, E. & 304 others, Besson, T., Burin, D. I., Butt, M. M., Clarke, A. J. B., Daryani, Y., El-Dakhs, D. A. S., Elsherif, M. M., Fernández-López, M., Ferreira, P. R. D. S., Freitag, R. M. K., Gattei, C. A., Godbersen, H., Grim, P. A., Halama, P., Havan, P., Irrazabal, N. C., Isloi, C., Iversen, R. K., Julliard, Y., Karaaslan, A., Kohút, M., Kohútová, V., Kos, J., Kosachenko, A. I., Lima, T. J. S. D., Mak, M. H. C., Manouilidou, C., Marciaga, L. A., Melinna, X. M., Miranda, J. F., Morvinski, C., Muppoor, A., Müjdeci, F. E., Nielsen, Y. A., Oliveros, J. C., Onič, J., Papadatou-Pastou, M., Patel, I., Pavlović, Z., Pažon, B., Pfuhl, G., Pronizius, E., Roettger, T. B., Ronderos, C. R., Ruiz-Fernandez, S., Senderecka, M., Solak, Ç., Stückler, A., Szekely-Copîndean, R. D., Taboh, A. R., Thériault, R., Tran, U. S., Trecca, F., Ulloa, J. L., Varga, M. A., Verheyen, S., Vesić Pavlović, T., Viviani, G., Wang, N., Zivna, K., Yun, C. C., Clark, O. J., Acar, O. A., Adamkovič, M., Agnoletti, G., Akil, A. M., Alsuhaibani, Z., Amenta, S., Ananyeva, O. A., Andreychik, M., Angele, B., Arias Quiñones, D. C., Arinze, N. C., Askelund, A. D., Baker, B. J., Baskin, E., Batalha, L., Batres, C., Beato, M. S., Becker, M., Becker, M., Behnke, M., Blaison, C., Borghi, A. M., Brandstätter, E., Buczny, J., Budak, N., Cabana, Á., Cai, Z. G., Canessa, E. C., Cavdan, M., Cecchetti, L., Chaigneau, S. E., Chang, F. X. W., Chartier, C. R., Chen, S. C., Cherniaeva, E., Christiansen, M. H., Chuan-Peng, H., Chwiłkowska, P., Comesaña, M., Cong, C. W., Cowan, C., Dandeneau, S. D., David, O. A., Davis, W. E., Demirag Burak, E. G., Dixson, B. J. W., Du, H., Duclos, R., Duyck, W., Efimova, L. A., Egan, C., Era, V., Evans, T. R., Exner, A., Feldman, G., Fellnhofer, K., Fini, C., Fisher, S. E., Flowe, H. D., Garrido-Vásquez, P., Gatti, D., Geller, J., Giannouli, V., Gorokhova, A. S., Griener, L. M., Grigoryev, D., Grossmann, I., Ghasemi, H., Handjaras, G., Hauspie, C., He, Z., Heilman, R. M., Heydari, A., Hine, A. M., Hoyer, K., Hryniszak, W., Hsiao, J. H. W., Huang, G., Ihaya, K., Ilczuk, E., Ishii, T., Dumbravă, A., Jankowiak, K., Jiang, X., Johnson, D. C., Jończyk, R., Järvikivi, J., Kaczer, L., Kamermans, K. L., Karl, J. A., Karner, A., Kačmár, P., Keech, J. J., Kim, M. J., Korbmacher, M., Kostorz, K., Kowal, M., Kratochvil, T., Kunisato, Y., Kuzminska, A. O., Körtvélyessy, L., Köse, F. E., Köster, M., Kękuś, M., Labusch, M., Lamm, C., Lau, C. M., Laurino, J., Law, W., Lettieri, G., Levitan, C. A., Lu, J. G., MacPherson, S. E., Malinakova, K., Manriquez-Robles, D., Marchant, N., Marelli, M., Martínez, M., Matthews, M. F., Mattiassi, A. D. A., Mattoli-Sánchez, J., Mazzuca, C., McGovern, D. P., Meier, Z., Melinscak, F., Misiak, M., Monteiro, L. C. P., Moreau, D., Moreno, S., Mulgrew, K. E., Muller, D., Nagy, T., Naranowicz, M., Ndukaihe, I. L. G., Neta, M., Novak, L., Ogbonnaya, C. E., Paek, J. J. W., Paltoglou, A. E., Parada, F. J., Parker, A. J., Paruzel-Czachura, M., Pavlov, Y. G., Paydarfard, S., Pegler, D., Peker, M., Perea, M., Pfattheicher, S., Protzko, J., Prusova, I. S., Pypno-Blajda, K., Qiu, Z., Reips, U. D., Ribeiro, G., Rinaldi, L., Roberts, S. C., Roembke, T. C., Romanova, M. O., Ross, R. M., Röer, J. P., Rızaoğlu, F., Saari, T. T., Sampaolo, E., Santos, A. C., Sarıçiçek, F. Ç., Sasaki, K., Scharnowski, F., Schmidt, K., Sepehri, A., Serçe, H. O., Sevincer, A. T., Siew, C. S. Q., Simonetti, M. E., Sirota, M., Sorokowska, A., Sorokowski, P., Stephen, I. D., Stevens, L. M., Stewart, S. L. K., Steyrl, D., Stieger, S., Studzinska, A., Suarez, M., Szala, A., Szmalec, A., Sznycer, D., Szumowska, E., Söylemez, S., Söylemez, B., Takashima, K., Tamnes, C. K., Tan, J. C. R., Tang, C., Tavel, P., Tejada, J., Thompson, B. C., Tiernan, J. G., Torres-Muñoz, V., Touloumakos, A. K., Trémolière, B., Tschense, M., Türkan, B. N., Vadillo, M. A., Vannucci, C., Varnum, M. E. W., Vasilev, M. R., Vaughn, L. A., Verkampt, F., Villar, L. M., Wallot, S., Wang, L., Wang, K., Williams, G. P., Willinger, D., Wolfe, K., Wormley, A. S., Yamada, Y., Yang, Y., Zhou, Y., Zhang, M., Zheng, W., Zheng, Y., Zhou, C., Zidkova, R., Zumbrunn, N. M., Çoker, O., Çoksan, S., Öner, S., Özdoğru, A. A., Şahin, S. M., Kasanov, D., Arvanitis, A., Brick, C., Colloff, M. F., Gallyamova, A., Koch, C., Ropovik, I., Zhang, Y., Zhou, X., Patel, S., Suchow, J. W. & Lewis, S. C., Jan 2026, In: Nature Human Behaviour. 10, 1, p. 182-201 20 p.

    Research output: Contribution to journal › Article › peer-review

    Open Access
    3 Scopus citations

  • 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

  • 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

    1 Scopus citations

  • Machine Learning Models for Predicting Surgical Case Times in Breast Cancer Procedures

    Bravo-Parra, J., Acuna, J. A., Moreno, S. & Villablanca, N., 2025, 2025 15th IEEE International Conference on Pattern Recognition Systems, ICPRS 2025. Institute of Electrical and Electronics Engineers Inc., (2025 15th IEEE International Conference on Pattern Recognition Systems, ICPRS 2025).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

View all 45 Research outputs