|
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).
|
|
Xavier Soria, A. S., Patricio Humanante, Arash Akbarinia. (2023). Dense extreme inception network for edge detection. Pattern Recognition, Vol. 139.
|
|
Patricia L. Suarez, D. C., Angel D. Sappa. (2024). Enhancement of Guided Thermal Image Super-Resolution Approaches (Vol. 573).
|
|
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.
|
|
Henry O. Velesaca and Juan A. Holgado-Terriza. (2025). OPC-UA in artificial intelligence: a systematic review of the integration of data mining and NLP in industrial processes. Manufacturing Review, Vol. 12.
|
|
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 Febrero 2024 (Vol. Vol. 1054 LNNS, pp. 45–57).
|
|
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).
|
|
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.
|
|
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).
|
|
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).
|
