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Network for novel remote sensing technologies in forest disturbance ecologyEuropean UnionUniversity of Eastern Finland; National Land Survey of Finland2023Breaking the wall between professional science and citizen science by hyperautomationEuropean UnionUniversity of Jyväskylä2023Applying supervised deep transfer learning convolutional neural networks to the classification of palaeoenvironmental remainsKone FoundationIlkka Sipilä2022Convolutional neural networks to reveal resistant phenotypes behind the complex genotypes of ovarian cancerEuropean UnionUniversity of Helsinki2022Learning Pixel-Perfect 3D Vision and Generative ModelingEuropean UnionJaakko Tapani LEHTINEN, Aalto University2020
Network for novel remote sensing technologies in forest disturbance ecology
2023
Breaking the wall between professional science and citizen science by hyperautomation
2023
Applying supervised deep transfer learning convolutional neural networks to the classification of palaeoenvironmental remains
2022
Convolutional neural networks to reveal resistant phenotypes behind the complex genotypes of ovarian cancer
2022
Learning Pixel-Perfect 3D Vision and Generative Modeling
2020