• Incorporating probabilistic domain knowledge into deep multiple instance learning 

  al Hajj, Ghadi; Hubin, Aliaksandr; Kanduri, Chakravarthi; Pavlovic, Milena; Rand, Knut Dagestad; Widrich, Michael; Solberg, Anne H Schistad; Greiff, Victor; Pensar, Johan; Klambauer, Günter; Sandve, Geir Kjetil Ferkingstad (Peer reviewed; Journal article, 2024)

• A Rock, Paper, Scissors Robot for Engaging Interest in Research 

  Schulz, Trenton; Utseth, Ingrid (Lecture, 2024)

• Evaluating Performance Characteristics of Threshold Fully Homomorphic Encryption for Distributed Analytics Scenarios 

  Boudko, Svetlana; Grønvold, Kristian Teig (Chapter, 2024)

  Distributed analytics, such as federated learning, involve collaborative computation across multiple decentralized devices. This approach not only reduces data transfer costs but also offers some degree of protection for ...

• Consistent prediction of well paths and geological surfaces 

  Almendral Vazquez, Ariel; Dahle, Pål; Abrahamsen, Petter; Sektnan, Audun (Journal article; Peer reviewed, 2024)

  We propose a smooth stochastic process for modeling the vertical well path uncertainty. This process describes the accumulation of measurement errors along the well path. We combine the stochastic process with a stochastic ...

• A Rock, Paper, Scissors Robot for Engaging Interest in Research 

  Schulz, Trenton; Utseth, Ingrid (Chapter, 2024)

  We present a NAO robot that plays rock, paper, scissors with participants. The robot was an attempt to show how different aspects of computer science can be combined to make a fun and interesting interaction. We document ...

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