Comparing CNN-Based Object Detectors on Two Novel Maritime Datasets. - Valentin Soloviev; Fahimeh Farahnakian; Luca Zelioli; Bogdan Iancu; Johan Lilius; Jukka Heikkonen (ICME Workshops, 2020)

Transfer Learning for Maritime Vessel Detection using Deep Neural Networks. - Fahimeh Farahnakian; Luca Zelioli; Jukka Heikkonen (ITSC, 2021)

ABOships - An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations. - Bogdan Iancu; Valentin Soloviev; Luca Zelioli; Johan Lilius (Remote. Sens., 2021)

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 (FRUCT, 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 (FUSION, 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 (ROSE, 2023)

Enhancing Peatland Classification using Sentinel-1 and Sentinel-2 Fusion with Encoder-Decoder Architecture. - Luca Zelioli; Fahimeh Farahnakian; Farshad Farahnakian; Maarit Middleton; Jukka Heikkonen (FUSION, 2024)

SEDA: Similarity-Enhanced Data Augmentation for Imbalanced Learning. - Javad Sheikh; Farshad Farahnakian; Fahimeh Farahnakian; Luca Zelioli; Jukka Heikkonen (ICPR (26), 2024)

Peatland pixel-level classification via multispectral, multiresolution and multisensor data using convolutional neural network. - Luca Zelioli; Fahimeh Farahnakian; Maarit Middleton; Timo P. Pitkänen; Sakari Tuominen; Paavo Nevalainen; Jonne Pohjankukka; Jukka Heikkonen (Ecol. Informatics, 2025)

Enhancing hurdles athletes' performance analysis: A comparative study of cnn-based pose estimation frameworks. - Pouya Jafarzadeh; Luca Zelioli; Petra Virjonen; Fahimeh Farahnakian; Paavo Nevalainen; Jukka Heikkonen (Multim. Tools Appl., 2025)