Luca
Zelioli
Doctoral Researcher, Data analytics
Doctoral Researcher, Department of Computing
Contact
Links
Areas of expertise
deep learning
artificial intelligence
soil type prediction
software engineering
Biography
Luca Zelioli received B.S. degree from the Turku University of Applied Sciences (2018) and M.S. degree from the Åbo Akademi (2020). He is currently working as Doctoral Candidate / Doctoral Student in Department of Computing, University of Turku since January 2022. Previously he was working as a Project Researcher in the same department since April 2021. His M.S. thesis topic was “Environmental damage assessment based on satellite imagery using machine learning”.
Teaching
Teacher assistant in Deep Learning course
Research
His main research interests include Sensor Fusion, Artificial Intelligence and Software Engineering.
Publications
CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery (2023)
IEEE International Symposium on Robotic and Sensors Environments
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Real-Time Military Tank Detection Using YOLOv5 Implemented on Raspberry Pi (2023)
International Conference on Artificial Intelligence, Robotics and Control
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches (2023)
Conference of Open Innovations Association FRUCT, Proceedings of Conference of Open Innovations Association FRUCT
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Multistream Convolutional Neural Network Fusion for Pixel-wise Classification of Peatland (2023)
International Conference on Information Fusion (FUSION)
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
Transfer Learning for Maritime Vessel Detection using Deep Neural Networks (2021)
IEEE International Intelligent Transportation Systems Conference, Proceedings of the IEEE international conference on intelligent transportation systems
(Vertaisarvioitu artikkeli konferenssijulkaisussa (A4))
ABOships-An Inshore and Offshore Maritime Vessel Detection Dataset with Precise Annotations (2021)
Remote Sensing
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))
COMPARING CNN-BASED OBJECT DETECTORS ON TWO NOVEL MARITIME DATASETS (2020)
IEEE International Conference on Multimedia and Expo Workshops
(Vertaisarvioitu alkuperäisartikkeli tai data-artikkeli tieteellisessä aikakauslehdessä (A1))