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Projekt information ikoniGenPredict: innovative genomic prediction tools 01Naturresursinstitutet2020Projekt information ikonTrafficability Prediction and Route Planning for Forest MachinesNaturresursinstitutet2020Projekt information ikonGenomics in BLUP: Continuous genomic prediction by single-step evaluation 01Naturresursinstitutet2020Projekt information ikonPrediction of the regional variation of forest productivity using process-based models.Helsingfors universitet2004Projekt information ikonThe Finnish Type 1 Diabetes Prediction and Prevention (DIPP) Nutrition study: allergy armHelsingfors universitet1996Projekt information ikonFacilitating reliable CAZyme function prediction of fungal enzymes from expanded and poorly characterized familiesHelsingfors universitet2021Projekt information ikonSpatial PREdiction of Benthic HABitats in the Baltic Sea: incorporating anthropogenic pressures and economic evaluationHelsingfors universitet2009Projekt information ikonCombining growth models and multi-date satellite imagery inventory for improved carbon prediction of tropical forestHelsingfors universitet2015Projekt information ikonMl-Mining: Machine Learning Surrogate Modeling for Environmental Risk Assessment and Water Quality Prediction at Mining SitesGeologiska forskningscentralen2023Projekt information ikonCarbon balance of forested peatlands - predictions and monitoring in changing conditionsHelsingfors universitet2006
iGenPredict: innovative genomic prediction tools 01
2020
Trafficability Prediction and Route Planning for Forest Machines
2020
Genomics in BLUP: Continuous genomic prediction by single-step evaluation 01
2020
Prediction of the regional variation of forest productivity using process-based models.
2004
The Finnish Type 1 Diabetes Prediction and Prevention (DIPP) Nutrition study: allergy arm
1996
Facilitating reliable CAZyme function prediction of fungal enzymes from expanded and poorly characterized families
2021
Spatial PREdiction of Benthic HABitats in the Baltic Sea: incorporating anthropogenic pressures and economic evaluation
2009
Combining growth models and multi-date satellite imagery inventory for improved carbon prediction of tropical forest
2015
Ml-Mining: Machine Learning Surrogate Modeling for Environmental Risk Assessment and Water Quality Prediction at Mining Sites
2023
Carbon balance of forested peatlands - predictions and monitoring in changing conditions
2006