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ITAMAR FRANCO SALAZAR REQUE

ITAMAR FRANCO SALAZAR REQUE

ITAMAR FRANCO SALAZAR REQUE

MAESTRO EN CIENCIAS EN INGENIERIA ELECTRONICA CON MENCION EN PROCESAMIENTO DIGITAL DE SEÑALES E IMÁGENES, UNIVERSIDAD NACIONAL DE INGENIERIA

TITULO PROFESIONAL DE INGENIERO DE TELECOMUNICACIONES
DOCENTE CONTRATADO - CONTRATADO
Tiempo parcial por asignaturas (TPA)
Departamento Académico de Ingeniería - Sección Bioingeniería

Publicaciones

Se encontraron 16 publicaciones

SALAZAR, I. F.; COILA, A.; LAVARELLO, R. J.(2023). Robustness of ultrasound deep beamformers using low-energy adversarial perturbations. En 2023 IEEE International Ultrasonics Symposium (IUS). IEEE. Recuperado de: https://ieeexplore.ieee.org/document/10307204
SALAZAR, I. F.; COILA, A.; LAVARELLO, R. J.(2023). Robustness of ultrasound deep beamformers using low-energy adversarial perturbations. En 2023 International Ultrasonics Symposium. IEEE. Recuperado de: https://ieeexplore.ieee.org/abstract/document/10307204
SALAZAR, I. F.(2021). A CNN-based algorithm for selecting tree-of-interest images acquired by UAV. En 2021 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT). (pp. 1 - 6). IEEE.
SALAZAR, I. F.(2021). A neural anisotropic view of underspecification in deep learning. En Workshop of Robust and reliable machine learning in the real world at ICLR 2021. (pp. 1 - 11). International Conference on Learning Representations (ICLR).
SALAZAR, I. F.(2021). Automatic Leaf Segmentation from Images Taken Under Uncontrolled Conditions Using Convolutional Neural Networks. En 5th Brazilian Technology Symposium. (pp. 277 - 285). Springer, Cham.
SALAZAR, I. F.(2019). An algorithm for plant disease visual symptom detection in digital images based on superpixels. International Journal on Advanced Science, Engineering and Information Technology. Volumen: 9. (pp. 194 - 203).
SALAZAR, I. F.(2019). An image processing method to automatically identify Avocado leaf state. En Symposium on Image, Signal Processing and Artificial Vision (STSIVA). (pp. 1 - 5). IEEE.
SALAZAR, I. F.(2019). Detecting Violent Robberies in CCTV Videos Using Deep Learning. En Artificial Intelligence Applications and Innovations. (pp. 282 - 291). Springer, Cham.