Luca Zelioli
PhD
luca.l.zelioli@utu.fi |
deep learning, artificial intelligence, soil type prediction, software engineering
Luca Zelioli received B.S. degree from the Turku University of Applied Sciences (2018) and M.S. degree from the Åbo Akademi (2020). His M.S. thesis topic was “Environmental damage assessment based on satellite imagery using machine learning”.
He has been working as a Doctoral Candidate / Researcher in the Department of Computing, University of Turku since April 2021. In September 2024 he has been awarded the degree of Doctor of Philosophy in the Field of Natural Sciences. The degree was completed in Computer Science. He has written a doctoral dissertation: "Leveraging machine learning for maritime object detection and peatland classification: harnessing the power of machine learning for precise maritime object detection and peatland classification".
Luca continues to work in the Department of Computing as a Senior Researcher.
His main research interests include Sensor Fusion, Artificial Intelligence and Software Engineering.
Teacher assistant in Deep Learning course
- (2025)
- Multimedia Tools and Applications
- Addressing imbalanced data for machine learning based mineral prospectivity mapping (2024)
- Ore Geology Reviews
- (2024) 2024 27th International Conference on Information Fusion (FUSION) Zelioli, Luca; Farahnakian, Fahimeh; Farahnakian, Farshad; Middleton, Maarit; Heikkonen, Jukka
- (2024) Zelioli, Luca
- SEDA: Similarity-Enhanced Data Augmentation for Imbalanced Learning (2024)
- Lecture Notes in Computer Science
- (2023) 2023 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Farahnakian Fahimeh, Zelioli Luca, Middleton Maarit, Seppä Iiro, Pitkänen Timo P., Heikkonen Jukka
- Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches (2023)
- Proceedings of Conference of Open Innovations Association FRUCT
- (2023) 2023 26th International Conference on Information Fusion (FUSION) Farahnakian Fahimeh, Zelioli Luca, Pitkänen Timo, Pohjankukka Jonne, Middleton Maarit, Tuominen Sakari, Nevalainen Paavo, Heikkonen Jukka
- Real-Time Military Tank Detection Using YOLOv5 Implemented on Raspberry Pi (2023) 2023 the 4th International Conference on Artificial Intelligence, Robotics and Control (AIRC 2023) Jafarzadeh Pouya, Zelioli Luca, Farahnakian Fahimeh, Nevalainen Paavo, Heikkonen Jukka, Hemminki Petteri, Andersson Christian
- ABOships-An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations2021
- Remote Sensing
- Transfer Learning for Maritime Vessel Detection using Deep Neural Networks (2021)
- Proceedings of the IEEE international conference on intelligent transportation systems
- COMPARING CNN-BASED OBJECT DETECTORS ON TWO NOVEL MARITIME DATASETS (2020)
- IEEE International Conference on Multimedia and Expo Workshops
- Environmental damage assessment based on satellite imagery using machine
learning (2020) Zelioli Luca
