Luca Zelioli

According to our database, Luca Zelioli authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SEDA: Similarity-Enhanced Data Augmentation for Imbalanced Learning.

Javad Sheikh, Farshad Farahnakian, Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen

Proceedings of the Pattern Recognition - 27th International Conference, 2024

Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture.

Luca Zelioli, Fahimeh Farahnakian, Farshad Farahnakian, Maarit Middleton, Jukka Heikkonen

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery.

Fahimeh Farahnakian, Luca Zelioli, Maarit Middleton, Iiro Seppä, Timo P. Pitkänen, Jukka Heikkonen

Proceedings of the IEEE International Symposium on Robotic and Sensors Environments, 2023

Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland.

Fahimeh Farahnakian, Luca Zelioli, Timo P. Pitkänen, Jonne Pohjankukka, Maarit Middleton, Sakari Tuominen, Paavo Nevalainen, Jukka Heikkonen

Proceedings of the 26th International Conference on Information Fusion, 2023

Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches.

Dipak Kumar Nidhi, Iiro Seppä, Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen, Rajeev Kumar Kanth

Proceedings of the 34th Conference of Open Innovations Association, 2023

2021

ABOships - An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations.

Bogdan Iancu, Valentin Soloviev, Luca Zelioli, Johan Lilius

Remote. Sens., 2021

Transfer Learning for Maritime Vessel Detection using Deep Neural Networks.

Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets.

Valentin Soloviev, Fahimeh Farahnakian, Luca Zelioli, Bogdan Iancu, Johan Lilius, Jukka Heikkonen

Proceedings of the 2020 IEEE International Conference on Multimedia & Expo Workshops, 2020