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Athanasios Anagnostis
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2020 – today
- 2023
- [c4]Konstantinos Dolaptsis, Antonios Morellos, Georgios Tziotzios, Athanasios Anagnostis, Dimitrios Kateris, Dionysis Bochtis:
Investigation of Deep Learning Architectures for Disease Identification of Vines in Agricultural Environments. exp.at 2023: 122-127 - 2022
- [b1]Athanasios Anagnostis:
Investigation and development of machine learning algorithms for analysis of large volumes of data. University of Thessaly, Greece, 2022 - 2021
- [j2]Athanasios Anagnostis, Aristotelis C. Tagarakis
, Gabriela Asiminari
A deep learning approach for anthracnose infected trees classification in walnut orchards. Comput. Electron. Agric. 182: 105998 (2021) - [j1]Athanasios Anagnostis
Orchard Mapping with Deep Learning Semantic Segmentation. Sensors 21(11): 3813 (2021) - 2020
- [c3]Nikolaos I. Papandrianos, Elpiniki I. Papageorgiou, Athanasios Anagnostis, Konstantinos Papageorgiou
Development of Convolutional Neural Networkbased models for bone metastasis classification in nuclear medicine. IISA 2020: 1-8
2010 – 2019
- 2019
- [c2]Athanasios Anagnostis
Applying Long Short-Term Memory Networks for natural gas demand prediction. IISA 2019: 1-7 - 2016
- [c1]Alena Uus, Panos Liatsis, Gregory G. Slabaugh
Trend deviation analysis for automated detection of defects in GPR data for road condition surveys. IWSSIP 2016: 1-4
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