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• Hybrid modeling design patterns 

  Rudolph, Maja; Kurz, Stefan; Rakitsch, Barbara (Springer, 2024)

  Design patterns provide a systematic way to convey solutions to recurring modeling challenges. This paper introduces design patterns for hybrid modeling, an approach that combines modeling based on first principles with ...

• Adding ‘Sense’ to Conceptual Modeling : An Interdisciplinary Approach 

  Halttunen, Veikko (SCITEPRESS Science And Technology Publications, 2019)

  In this paper, our aim is to widen the prevailing foundations of conceptual modeling theories and practices, particularly in the context of information systems development. The approach shifts the focus from the link between ...

• Species distributions models may predict accurately future distributions but poorly how distributions change : A critical perspective on model validation 

  Piirainen, Sirke; Lehikoinen, Aleksi; Husby, Magne; Kålås, John Atle; Lindström, Åke; Ovaskainen, Otso (Wiley, 2023)

  Aim Species distribution models (SDMs) are widely used to make predictions on how species distributions may change as a response to climatic change. To assess the reliability of those predictions, they need to be critically ...

• Hybrid stock analysis model for financial market forecasting 

  Korablyov, Mykola; Fomichov, Oleksandr; Antonov, Danylo; Dykyi, Stanislav; Ivanisenko, Ihor; Lutskyy, Sergey (IEEE, 2023)

  Various approaches are used to analyze stocks for the purpose of forecasting the financial market. Because stocks exist in a large and interconnected market, traditional methods based on time series information for a single ...

• The “Seili-index” for the Prediction of Chlorophyll-α Levels in the Archipelago Sea of the northern Baltic Sea, southwest Finland 

  Hänninen, Jari; Mäkinen, Katja; Nordhausen, Klaus; Laaksonlaita, Jussi; Loisa, Olli; Virta, Joni (Springer Science and Business Media LLC, 2022)

  To build a forecasting tool for the state of eutrophication in the Archipelago Sea, we fitted a Generalized Additive Mixed Model (GAMM) to marine environmental monitoring data, which were collected over the years 2011–2019 ...