• Assessment of application for the authorisation of soy leghemoglobin produced from genetically modified Komagataella phaffii for food use in the European Union under Regulation (EC) No 1829/2003 (application EFSA-GMO-NL-2019-162) 

  Sanden, Monica; Ager-Wick, Eirill; Bodin, Johanna Eva; Duale, Nur; Jevnaker, Anne-Marthe Ganes; Prydz, Kristian; Shapaval, Volha; Sipinen, Ville Erling; Thorstensen, Tage (Others, 2025)

• Assessment of soy leghemoglobin produced from genetically modified Komagataella phaffii under EU Regulation 1829/2003/EC on genetically modified food and feed (application EFSA-GMO-NL-2019-162) 

  Sanden, Monica; Ager-Wick, Eirill; Bodin, Johanna Eva; Duale, Nur; Prydz, Kristian; Shapaval, Volha; Thorstensen, Tage (Others, 2025)

• Assessment of genetically modified maize DP51291 for food and feed uses, import and processing under Regulation (EC) No 1829/2003 (Application GMFF-2021-0071/EFSA-Q-2023- 00051 (179)) 

  Sanden, Monica; Ager-Wick, Eirill; Bodin, Johanna Eva; Duale, Nur; Jevnaker, Anne-Marthe Ganes; Prydz, Kristian; Shapaval, Volha; Sipinen, Ville Erling; Thorstensen, Tage (Others, 2025)

• Protokoll: Krav til konsekvensutredning ved planlegging av vindkraftprosjekter for å hindre forurensning av drikkevann 

  Kvalem, Helen Engelstad; Alexander, Jan; Mariussen, Espen; Schlabach, Martin; Steffensen, Inger-Lise Karin; Hannisdal, Rita; Ruus, Anders; Amlund, Heidi; Lisbeth, Dahl; Olsen, Ann-Karin Hardie; Samdal, Ingunn Anita; Knutsen, Helle Katrine (Others, 2025)

• DIB-X: Formulating Explainability Principles for a Self-Explainable Model Through Information Theoretic Learning 

  Choi, Changkyu; Yu, Shujian; Kampffmeyer, Michael Christian; Salberg, Arnt-Børre; Handegard, Nils Olav; Jenssen, Robert (Peer reviewed; Journal article, 2024)

  The recent development of self-explainable deep learning approaches has focused on integrating well-defined explainability principles into learning process, with the goal of achieving these principles through optimization. ...

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