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2020 – today
- 2024
[c6]Luca Zelioli, Fahimeh Farahnakian, Farshad Farahnakian, Maarit Middleton, Jukka Heikkonen:
Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture. FUSION 2024: 1-7- 2023
- [c5]Dipak Kumar Nidhi, Iiro Seppä, Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen, Rajeev Kumar Kanth:
Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches. FRUCT 2023: 125-135 - [c4]Fahimeh Farahnakian, Luca Zelioli, Timo P. Pitkänen
, Jonne Pohjankukka, Maarit Middleton, Sakari Tuominen, Paavo Nevalainen, Jukka Heikkonen:
Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland. FUSION 2023: 1-8 - [c3]Fahimeh Farahnakian, Luca Zelioli, Maarit Middleton, Iiro Seppä, Timo P. Pitkänen, Jukka Heikkonen:
CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery. ROSE 2023: 1-7 - 2021
- [j1]Bogdan Iancu, Valentin Soloviev, Luca Zelioli, Johan Lilius:
ABOships - An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations. Remote. Sens. 13(5): 988 (2021) - [c2]Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen:
Transfer Learning for Maritime Vessel Detection using Deep Neural Networks. ITSC 2021: 1-6 - [i1]Bogdan Iancu, Valentin Soloviev, Luca Zelioli, Johan Lilius:
ABOShips - An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations. CoRR abs/2102.05869 (2021) - 2020
- [c1]Valentin Soloviev, Fahimeh Farahnakian, Luca Zelioli, Bogdan Iancu, Johan Lilius, Jukka Heikkonen:
Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets. ICME Workshops 2020: 1-6
Coauthor Index
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