Publications

Aris Marcolongo, Mykhailo Vladymyrov, Sebastian Lienert, Nadav Peleg, Sigve Haug, and Jakob Zscheischler. Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks. Environmental Data Science, (1):e2, 2022. [PUMA: Convolutional Networks Neural Predicting data gross low primary production weather]

Aris Marcolongo, Mykhailo Vladymyrov, Sebastian Lienert, Nadav Peleg, Sigve Haug, and Jakob Zscheischler. Predicting years with extremely low gross primary production from daily weather data using Convolutional Neural Networks. Environmental Data Science, (1):e2, 2022. [PUMA: Convolutional Networks Predicting low gross production data from:scadsfct primary Neural weather]

Jing Zou, Martin Odening, and Ostap Okhrin. Data-driven determination of plant growth stages for improved weather index insurance design. Agricultural Finance Review, Emerald Group Publishing, Bingley, 2024. [PUMA: topic_engineering FIS_scads Generalized Machine Plant Temporal Weather additive basis growth index insurance learning, model, risk, stages,]

Jing Zou, Martin Odening, and Ostap Okhrin. Plant growth stages and weather index insurance design. Annals of actuarial science, (17)3:438--458, Cambridge University Press, Nov 3, 2023. [PUMA: topic_engineering FIS_scads PS-ANOVA, Weather additive generalized growth indemnity, index insurance model, nonlinear plant stages,]

Marzan Tasnim Oyshi, Danny Schober, Juliette-Michelle Burkhardt, Verena Maleska, Tillmann Auguszt, Linus Langhans, Richard Karl Fuchs, and Stefan Gumhold. ExtremeWeatherVis: Visualizing Extreme Weather Events for Multi-City in Virtual Reality to Support Decision Making. In Soumya Dutta, Kathrin Feige, Karsten Rink, and Baldwin Nsonga (Eds.), Workshop on Visualisation in Environmental Sciences (EnvirVis), The Eurographics Association, 2024. [PUMA: topic_visualcomputing Decision Events Extreme ExtremeWeatherVis Making Multi-City Reality Virtual Visualizing Weather]