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ORCIDMelaku N. Getahun
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2020 – today
- 2026
[j3]Melaku N. Getahun
, Dmitry Anikin, Alexander Shmatok, Makar Korchagin, Alexey Zaytsev, Andrey Somov:
Dual-Image vision-language framework with expert knowledge for automated fine-grained mint-state coin grading. Expert Syst. Appl. 331: 133156 (2026)- 2025
- [j2]Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov, Andrey Somov, Ahmed Bouridane, Rifat Hamoudi:
FS-Net: Full scale network and adaptive threshold for improving extraction of micro-retinal vessel structures. Pattern Recognit. Lett. 189: 188-194 (2025) - [c3]Makar Korchagin, Melaku N. Getahun, Abdelrahman Metwally, Anna Baldycheva, Andrey Somov:
Automatic Coin Grading: Model Based on Siamese Neural Network with EfficientNet Encoders. ETFA 2025: 1-7 - [c2]Melaku N. Getahun, Mohammed Hammoud, Roberto Passerone, Andrey Somov:
Recognition of Three Fine-Grades of Ancient Roman Coins Through Transfer Learning. I2MTC 2025: 1-6 - 2024
- [j1]Mohammed Hammoud, Melaku N. Getahun, Anna Baldycheva, Andrey Somov:
Machine learning-based infant crying interpretation. Frontiers Artif. Intell. 7 (2024) - [c1]Mohammed Hammoud, Aleksei Shcherbak, Melaku N. Getahun, Olga Istrakova, Nataliya Shindryaeva, Olga Zimniakova, Ekaterina Bril, Maxim Semenov, Anna Baldycheva, Andrey Somov:
Wearable Sensors and Machine Learning Fusion for Parkinson's Disease Assessment. I2MTC 2024: 1-6 - 2023
- [i1]Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov, Andrey Somov, Ahmed Bouridane, Rifat Hamoudi:
FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures. CoRR abs/2311.08059 (2023)
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