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Xavier Soria, Y. L., Mohammad Rouhani & Angel D. Sappa. (2023). Tiny and Efficient Model for the Edge Detection Generalization. In Proceedings – 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW 2023) Paris 2-6 October 2023 (pp. 1356–1365).
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Xavier Soria, A. S., Patricio Humanante, Arash Akbarinia. (2023). Dense extreme inception network for edge detection. Pattern Recognition, Vol. 139.
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Patricia L. Suarez, D. C., Angel D. Sappa. (2024). Enhancement of Guided Thermal Image Super-Resolution Approaches (Vol. 573).
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Henry O. Velesaca, G. B., Mohammad Rouhani, Angel D. Sappa. (2024). Multimodal image registration techniques: a comprehensive survey. Multimedia Tools and Applications, Vol. 83, 63919–63947.
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Tyrone Rodríguez, A. G., Paolo Piedrahita & Miguel Realpe. (2025). Towards Birds Conservation in Dry Forest Ecosystems through Audio Recognition via Deep Learning. In Lecture Notes in Networks and Systems: 9th International Congress on Information and Communication Technology ICICT 2024 London 19 – 22 Febraury 2024 (pp. 45–57).
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Rafael Rivadeneira, H. V. & A. S. (2024). Cross-Spectral Image Registration: a Comparative Study and a New Benchmark Dataset. In Lecture Notes in Networks and Systems: 4th International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024) (Vol. Vol. 1117 LNNS, pp. 1–12).
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Henry Velesaca, B. V., Jorge Vulgarin, Coen Antens & Alberto Rubio Pérez. (2024). Deep Learning-based Multimodal Sensing Framework for AntiSpoofing Systems. Lecture Notes in Networks and Systems: 4th International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024), Vol. 1116 LNNS, 39–54.
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Patricia Suarez & Angel D. Sappa. (2024). Haze-Free Imaging through Haze-Aware Transformer Adaptations. In Lecture Notes in Networks and Systems: 4th International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV 2024) (Vol. Vol. 1116 LNNS, pp. 27–37).
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Sara Nieto, E. M., Ricardo Villacis, Fernanda Calderon, Hector Villegas, Jonathan Paillacho and Miguel Realpe. (2024). A Practical Study on Banana (Musa spp.) Plant Counting and Coverage Percentage Using Remote Sensing and Deep Learning. In Lecture Notes in Geoinformation and Cartography: 3rd International Conference on Geospatial Information Sciences, iGISc 2023 Ciudad de México 14-17 November 2023 (pp. 147–158).
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Tommy David Beltran Borbor, R. J. V. R., Luis Enrique Chuquimarca Jiménez, Boris Xavier Vintimilla Burgos & Sergio Alejandro Velastin. (2025). Fruit Deformity Classification through Single-Input and Multi-Input Architectures based on CNN Models using Real and Synthetic Images. In Lecture Notes in Computer Science: 27th The Iberomican Congress on Pattern Recognition CIARP 2024 Talca 26 – 29 November 2024 (Vol. Vol. 15368 LNCS, pp. 46–62).
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