Iiro Seppä
MSc (geography)
iielse@utu.fi ORCID identifier: https://orcid.org/0009-0008-3287-098X |
Areas of expertise
Geoinformatics | Deep Learning | Hydrological modelling | Graph Neural Networks | Computer Vision | Underwater acoustic modelling
Geoinformatics | Deep Learning | Hydrological modelling | Graph Neural Networks | Computer Vision | Underwater acoustic modelling
Research community or research topic
Digital Waters Flagship (www.digitalwaters.fi)
Digital Waters Flagship (www.digitalwaters.fi)
Publications
- Addressing imbalanced data for machine learning based mineral prospectivity mapping (2024)
- Ore Geology Reviews
(A2 Refereed review article in a scientific journal ) - Geography of ancient geometric earthworks and their builders in southwestern Amazonia (2024)
- Acta Amazonica
(A1 Refereed original research article in a scientific journal) - CNN-based Boreal Peatland Fertility Classification from Sentinel-1 and Sentinel-2 Imagery (2023) 2023 IEEE International Symposium on Robotic and Sensors Environments (ROSE) Farahnakian Fahimeh, Zelioli Luca, Middleton Maarit, Seppä Iiro, Pitkänen Timo P., Heikkonen Jukka
(A4 Refereed article in a conference publication ) - Enhancing Minerals Prospects Mapping with Machine Learning: Addressing Imbalanced Geophysical Datasets and Data Visualization Approaches (2023)
- Proceedings of Conference of Open Innovations Association FRUCT
(A4 Refereed article in a conference publication )
UTU Research Portal