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Ali Youssef

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2020 – today

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2024
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Ali Youssef, Francisco Vasconcelos:
NeRF-Supervised Feature Point Detection and Description. CoRR abs/2403.08156 (2024)
2023
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  - conf/iccci/DomonkosKYKAB23
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Márk Domonkos, Majd Koshakji, Ali Youssef, Issa Kalloumah, Modar Alshamali, János Botzheim:
Analysis of Different Reinsertion Strategies in Steady State Genetic Algorithm. ICCCI 2023: 472-483
2022
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Ali Youssef, Gabriele Valvano, Giacomo Veneri:
Document Layout Analysis with Variational Autoencoders: An Industrial Application. ISMIS 2022: 477-486
2020
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  - journals/sensors/YoussefFWBWBHBN20
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Ali Youssef, Alberto Peña Fernández, Laura Wassermann, Svenja Biernot, Eva-Maria Wittauer, André Bleich, Joerg Hartung, Daniel Berckmans, Tomas Norton:
An Approach towards Motion-Tolerant PPG-Based Algorithm for Real-Time Heart Rate Monitoring of Moving Pigs. Sensors 20(15): 4251 (2020)
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Ali Youssef, Daniel Berckmans, Tomas Norton:
Non-Invasive PPG-Based System for Continuous Heart Rate Monitoring of Incubated Avian Embryo. Sensors 20(16): 4560 (2020)

2010 – 2019

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2019
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Ali Youssef:
Building vision applications through deep neural networks using data acquired by a robot platform. Sapienza University of Rome, Italy, 2019
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Alberto Peña Fernández, Tomas Norton, Ali Youssef, Vasileios Exadaktylos, Claudia Bahr, E. Bruininx, Erik Vranken, Daniel Berckmans:
Real-time modelling of individual weight response to feed supply for fattening pigs. Comput. Electron. Agric. 162: 895-906 (2019)
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Mulham Fawakherji, Ali Youssef, Domenico Bloisi, Alberto Pretto, Daniele Nardi:
Crop and Weeds Classification for Precision Agriculture Using Context-Independent Pixel-Wise Segmentation. IRC 2019: 146-152
2018
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  - conf/memea/YoussefBMPNF18
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Ali Youssef, Domenico Daniele Bloisi, Mario Muscio, Andrea Pennisi, Daniele Nardi, Antonio Facchiano:
Deep Convolutional Pixel-wise Labeling for Skin Lesion Image Segmentation. MeMeA 2018: 1-6
2017
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Se-Woon Hong, Vasileios Exadaktylos, Inbok Lee, Thomas Amon, Ali Youssef, Tomas Norton, Daniel Berckmans:
Validation of an open source CFD code to simulate natural ventilation for agricultural buildings. Comput. Electron. Agric. 138: 80-91 (2017)
2016
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Ali Youssef, Dario Albani, Daniele Nardi, Domenico Daniele Bloisi:
Fast Traffic Sign Recognition Using Color Segmentation and Deep Convolutional Networks. ACIVS 2016: 205-216
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  - conf/robocup/AlbaniYSNB16
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Dario Albani, Ali Youssef, Vincenzo Suriani, Daniele Nardi, Domenico Daniele Bloisi:
A Deep Learning Approach for Object Recognition with NAO Soccer Robots. RoboCup 2016: 392-403

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