Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 11 Sustainable Cities and Communities
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Dive into the research topics where Julio Ibarra Fiallo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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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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MVP—A Multistep Visual Pretraining Pipeline for Efficient Weather Recognition
Acuña-Escobar, D., Intriago-Pazmiño, M. & Ibarra-Fiallo, J., 2026, In: IEEE Access. 14, p. 738-750 13 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A Novel Deep Learning Method for Solving PDE’s Applied to a Shallow Water Problem
Palacios-García, J., Ibarra-Fiallo, J. & Espín-Torres, S., 2025, Scientific Computing and Bioinformatics and Computational Biology - 22nd International Conference, CSC 2024, and 25th International Conference, BIOCOMP 2024, Held as Part of the World Congress in Computer Science, Computer Engineering and Applied Computing, CSCE 2024. Hodson, D. D., Grimaila, M. R., Wagner, T. J., Arabnia, H. R. & Deligiannidis, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 149-157 9 p. (Communications in Computer and Information Science; vol. 2258 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Contextual Deep Learning Approaches for Time Series Reconstruction
Ibarra-Fiallo, J. & Lara, J. A., 2024, 2024 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2024. Institute of Electrical and Electronics Engineers Inc., (2024 IEEE International Conference on Omni-Layer Intelligent Systems, COINS 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
Improved Technique for Dimensionality Reduction: Star and Quasar Classification with Typical Testors
Martínez-Mejía, M. & Ibarra-Fiallo, J., 2024, Intelligent Systems and Applications - Proceedings of the 2023 Intelligent Systems Conference IntelliSys Volume 2. Arai, K. (ed.). Springer Science and Business Media Deutschland GmbH, p. 275-290 16 p. (Lecture Notes in Networks and Systems; vol. 823 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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New Approach to Facial Expression Recognition and Classification Using Typical Testors
Alvarado-Moreira, R. & Ibarra-Fiallo, J., 2024, Intelligent Systems and Applications - Proceedings of the 2024 Intelligent Systems Conference IntelliSys Volume 3. Arai, K. (ed.). Springer Science and Business Media Deutschland GmbH, p. 406-414 9 p. (Lecture Notes in Networks and Systems; vol. 1067 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review