Luca Zelioli - RankMe

11 papers C 2Misc 1Journal 4Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhancing hurdles athletes' performance analysis: A comparative study of cnn-based pose estimation frameworks. Multim. Tools Appl. Pouya Jafarzadeh, Luca Zelioli, Petra Virjonen, Fahimeh Farahnakian, Paavo Nevalainen, Jukka Heikkonen
2025	J	`jnl`	Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network. Ecol. Informatics Luca Zelioli, Fahimeh Farahnakian, Maarit Middleton, Timo P. Pitkänen, Sakari Tuominen, Paavo Nevalainen, Jonne Pohjankukka, Jukka Heikkonen
2024	C	`conf`	Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture. FUSION Luca Zelioli, Fahimeh Farahnakian, Farshad Farahnakian, Maarit Middleton, Jukka Heikkonen
2024	—	`conf`	SEDA: Similarity-Enhanced Data Augmentation for Imbalanced Learning. ICPR (26) Javad Sheikh, Farshad Farahnakian, Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen
2023	—	`conf`	CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery. ROSE Fahimeh Farahnakian, Luca Zelioli, Maarit Middleton, Iiro Seppä, Timo P. Pitkänen, Jukka Heikkonen
2023	Misc	`conf`	Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches. FRUCT Dipak Kumar Nidhi, Iiro Seppä, Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen, Rajeev Kumar Kanth
2023	C	`conf`	Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland. FUSION Fahimeh Farahnakian, Luca Zelioli, Timo P. Pitkänen, Jonne Pohjankukka, Maarit Middleton, Sakari Tuominen, Paavo Nevalainen, Jukka Heikkonen
2021	J	`jnl`	ABOShips - An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations. CoRR Bogdan Iancu, Valentin Soloviev, Luca Zelioli, Johan Lilius
2021	J	`jnl`	ABOships - An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations. Remote. Sens. Bogdan Iancu, Valentin Soloviev, Luca Zelioli, Johan Lilius
2021	—	`conf`	Transfer Learning for Maritime Vessel Detection using Deep Neural Networks. ITSC Fahimeh Farahnakian, Luca Zelioli, Jukka Heikkonen
2020	—	`conf`	Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets. ICME Workshops Valentin Soloviev, Fahimeh Farahnakian, Luca Zelioli, Bogdan Iancu, Johan Lilius, Jukka Heikkonen