• Spectral Clustering with Graph Neural Networks for Graph Pooling 

  Bianchi, Filippo Maria; Grattarola, Daniele; Alippi, Cesare (Peer reviewed; Journal article, 2020)

  Spectral clustering (SC) is a popular clustering technique to find strongly connected communities on a graph. SC can be used in Graph Neural Networks (GNNs) to implement pooling operations that aggregate nodes belonging ...

• DigiTrans kortrapport: Studentenes opplevelse av studiesituasjonen under nedstengingene av UiB høsten 2020 

  Egelandsdal, Kjetil; Hansen, Cecilie Johanne Slokvik (Research report, 2021)

  Universitetet i Bergen (UiB) måtte høsten 2020 igjen stenge tilgangen til «campus» for sine studenter for å hindre spredningen av koronaviruset på grunn av den pågående pandemisituasjonen. For de fleste studentene ble ...

• Automated segmentation of endometrial cancer on MR images using deep learning 

  Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Solteszova, Veronika; Zanna, Antonella; Fasmer, Kristine Eldevik; Krakstad, Camilla; Lundervold, Arvid; Lundervold, Alexander Selvikvåg; Salvesen, Øyvind; Erickson, Bradley J.; Haldorsen, Ingfrid S (Peer reviewed; Journal article, 2021)

  Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses ...

• SIOS’s Earth Observation (EO), Remote Sensing (RS), and operational activities in response to COVID-19 

  Jawak, Shridhar D.; Andersen, Bo N.; Pohjola, Veijo; Godøy, Øystein; Hübner, Christiane E.; Jennings, Inger; Ignatiuk, Dariusz; Holmen, Kim; Sivertsen, Agnar; Hann, Richard; Tømmervik, Hans; Kääb, Andreas; Błaszczyk, Małgorzata; Salzano, Roberto; Luks, Bartłomiej; Høgda, Kjell Arild; Storvold, Rune; Nilsen, Lennart; Salvatori, Rosamaria; Krishnan, Kottekkatu Padinchati; Chatterjee, Sourav; Lorentzen, Dag Arne; Erlandsson, Rasmus; Lauknes, Tom Rune; Malnes, Eirik; Karlsen, Stein Rune; Enomoto, Hiroyuki; Fjæraa, Ann Mari; Zhang, Jie; Marty, Sabine; Nygård, Knut Ove; Lihavainen, Heikki (Journal article; Peer reviewed, 2021)

  Svalbard Integrated Arctic Earth Observing System (SIOS) is an international partnership of research institutions studying the environment and climate in and around Svalbard. SIOS is developing an efficient observing system, ...

• Pyramidal Graph Echo State Networks 

  Bianchi, Filippo Maria; Gallicchio, Claudio; Micheli, Alessio (Chapter, 2018)

• Adaptive Elements in Internet-Delivered Psychological Treatment Systems: Systematic Review 

  Mukhiya, Suresh Kumar; Wake, Jo Dugstad; Inal, Yavuz; Pun, Ka I; Lamo, Yngve (Journal article; Peer reviewed, 2020)

  Background: Internet-delivered psychological treatments (IDPTs) are built on evidence-based psychological treatment models, such as cognitive behavioral therapy, and are adjusted for internet use. The use of internet ...

• Hierarchical Representation Learning in Graph Neural Networks with Node Decimation Pooling 

  Bianchi, Filippo Maria; Grattarola, Daniele; Livi, Lorenzo; Alippi, Cesare (Peer reviewed; Journal article, 2020)

  Abstract—In graph neural networks (GNNs), pooling operators compute local summaries of input graphs to capture their global properties, and they are fundamental for building deep GNNs that learn hierarchical representations. ...

• Finite‐amplitude power budget equations for acoustic fish abundance estimation 

  Lunde, Per (Peer reviewed; Journal article, 2020)

  Finite‐amplitude (nonlinear) sound propagation effects in seawater may cause measurement errors in fish and zooplankton abundance estimation and species identification for accessible echo sounder transmit electrical power ...

• Monolithic and splitting solution schemes for fully coupled quasi-static thermo-poroelasticity with nonlinear convective transport 

  Brun, Mats Kirkesæther; Ahmed, Elyes; Berre, Inga; Nordbotten, Jan Martin; Radu, Florin Adrian (Peer reviewed; Journal article, 2020)

  This paper concerns monolithic and splitting-based iterative procedures for the coupled nonlinear thermo-poroelasticity model problem. The thermo-poroelastic model problem we consider is formulated as a three-field system ...

• Great expectations: Migrant parents and parent-school cooperation in Norway 

  Bendixsen, Synnøve Kristine Nepstad; Danielsen, Hilde (Peer reviewed; Journal article, 2020)

  One long-standing characteristic of schools in Norway is inclusive education as a primary goal. The last years, the Norwegian government has emphasised increased parent-school cooperation as a way to limit risks, i.e. of ...

• Reusable data visualization patterns for clinical practice 

  Rabbi, Fazle; Wake, Jo Dugstad; Nordgreen, Tine (Chapter, 2020)

  Among clinical psychologists involved in guided internet-facilitated interventions, there is an overarching need to understand patients symptom development and learn about patients need for treatment support. Data ...

• 4D seismic history matching: Assessing the use of a dictionary learning based sparse representation method 

  Soares, Ricardo; Luo, Xiaodong; Evensen, Geir; Bhakta, Tuhin (Peer reviewed; Journal article, 2020)

  It is possible to improve oil-reservoir simulation models by conditioning them on 4D seismic data. Computational issues may arise related to both storage and CPU time due to the size of the 4D seismic dataset. An approach ...

• Whole-volume tumor MRI radiomics for prognostic modeling in endometrial cancer 

  Fasmer, Kristine Eldevik; Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Trovik, Jone; Salvesen, Øyvind; Krakstad, Camilla; Haldorsen, Ingfrid S. (Peer reviewed; Journal article, 2020)

  Background In endometrial cancer (EC), preoperative pelvic MRI is recommended for local staging, while final tumor stage and grade are established by surgery and pathology. MRI‐based radiomic tumor profiling may aid in ...

• Usability evaluations of mobile mental health technologies: A systematic review study 

  Inal, Yavuz; Wake, Jo Dugstad; Guribye, Frode; Nordgreen, Tine (Peer reviewed; Journal article, 2020)

  Background: Many mobile health (mHealth) apps for mental health have been made available in recent years. Although there is reason to be optimistic about their effect on improving health and increasing access to care, there ...

• Sex-based differences in sub-technique selection during an international classical cross-country skiing competition 

  Solli, Guro Strøm; Kocbach, Jan; Bucher Sandbakk, Silvana; Haugnes, Pål; Losnegard, Thomas; Sandbakk, Øyvind (Peer reviewed; Journal article, 2020)

  The purpose of this study was to compare speed, sub-technique selection and temporal patterns between world-class male and female cross-country (XC) skiers and to examine the combined associations of sex and speed on ...

• Acoustic emission based condition monitoring study of piston rod seals by varying speed and pressure parameters 

  Shanbhag, Vignesh Vishnudas; Meyer, Thomas; Caspers, Leo; Schlanbusch, Rune (Peer reviewed; Journal article, 2020)

  Seal wear is one of the primitive causes of failure in hydraulic cylinders. Regular visual inspection of seals without affecting the productivity is difficult as the seals are placed internally in the hydraulic cylinder ...

• Quantifying seasonal cornice dynamics using a terrestrial laser scanner in Svalbard, Norway 

  Hancock, Holt John; Eckerstorfer, Markus; Prokop, Alexander; Hendrikx, Jordy (Peer reviewed; Journal article, 2020)

  Snow cornices develop along mountain ridges, edges of plateaus, and marked inflections in topography throughout regions with seasonal and permanent snow cover. Despite the recognized hazard posed by cornices in mountainous ...

• Multi-agent informed path planning using the probability hypothesis density 

  Olofsson, Harald Lennart Jonatan; Hendeby, Gustaf; Lauknes, Tom Rune; Johansen, Tor Arne (Peer reviewed; Journal article, 2020)

  An Informed Path Planning algorithm for multiple agents is presented. It can be used to efficiently utilize available agents when surveying large areas, when total coverage is unattainable. Internally the algorithm has a ...

• The association of PTSD symptom severity with amygdala nuclei volumes in traumatized youths 

  Ousdal, Olga Therese; Milde, Anne Marita; Hafstad, Gertrud Sofie; Hodneland, Erlend; Dyb, Grete; Craven, Alexander R.; Melinder, Annika Maria D; Endestad, Tor; Hugdahl, Kenneth (Peer reviewed; Journal article, 2020)

  The amygdala is a core component in neurobiological models of stress and stress-related pathologies, including post-traumatic stress disorder (PTSD). While numerous studies have reported increased amygdala activity following ...

• Detection of lameness and mastitis pathogens in milk using visual and olfactory sensing 

  Yuan, Boyan; Nørstebø, Håvard; Whist, Anne Cathrine; Belbachir, Nabil (Research report, 2020)

  The objective of this project is to investigate feasibility of visual combined with olfactory sensing and multimodal collaborative intelligence for the perception of diseases, especially the contagious ones, among a ...

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