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Alina Machidon

Alina L. Machidon

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2020 – today

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2023
[j4]
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Alina L. Machidon, Veljko Pejovic:
Deep learning for compressive sensing: a ubiquitous systems perspective. Artif. Intell. Rev. 56(4): 3619-3658 (2023)
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Octavian Mihai Machidon, Andraz Krasovec, Alina L. Machidon, Veljko Pejovic, Daniele Latini, Sarathchandrakumar Thottuchirayil Sasidharan, Fabio Del Frate:
AgriAdapt: Towards Resource-Efficient UAV Weed Detection using Adaptable Deep Learning. NET4us@MobiCom 2023: 193-200
2022
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Alina Machidon, Veljko Pejovic:
Enabling resource-efficient edge intelligence with compressive sensing-based deep learning. CF 2022: 141-149
2021
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  - journals/corr/abs-2105-13191
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Alina L. Machidon, Veljko Pejovic:
Deep Learning Techniques for Compressive Sensing-Based Reconstruction and Inference - A Ubiquitous Systems Perspective. CoRR abs/2105.13191 (2021)
2020
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Luca Fasano, Daniele Latini, Alina Machidon, Chiara Clementini, Giovanni Schiavon, Fabio Del Frate:
SAR Data Fusion Using Nonlinear Principal Component Analysis. IEEE Geosci. Remote. Sens. Lett. 17(9): 1543-1547 (2020)
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Alina L. Machidon, Fabio Del Frate, Matteo Picchiani, Octavian Mihai Machidon, Petre L. Ogrutan:
Geometrical Approximated Principal Component Analysis for Hyperspectral Image Analysis. Remote. Sens. 12(11): 1698 (2020)
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Alina L. Machidon, Octavian Mihai Machidon, Catalin Bogdan Ciobanu, Petre L. Ogrutan:
Accelerating a Geometrical Approximated PCA Algorithm Using AVX2 and CUDA. Remote. Sens. 12(12): 1918 (2020)

2010 – 2019

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2019
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Alina L. Machidon, Catalin Bogdan Ciobanu, Octavian Mihai Machidon, Petre Lucian Ogrutan:
On Parallelizing Geometrical PCA Approximation. RoEduNet 2019: 1-6
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Alina L. Machidon, Octavian Mihai Machidon, Petre L. Ogrutan:
Face Recognition Using Eigenfaces, Geometrical PCA Approximation and Neural Networks. TSP 2019: 80-83
2018
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Alina Machidon, Radu-Mihai Coliban, Octavian Machidon, Mihai Ivanovici:
Maximum Distance-based PCA Approximation for Hyperspectral Image Analysis and Visualization. TSP 2018: 1-4

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