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The Role of Physical Prototyping in Participatory Design with Older Adults 
Bråthen, Heidi; Maartmann-Moe, Harald; Schulz, Trenton Wade (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
How can older adults actively participate in the design processes of assistive robots designed for their homes? We have organized workshops with a group of older adults who worked actively with materials and physical ...
Immersion as a Strategy to Facilitate Participatory Design Involving People With Intellectual Disabilities and Caretakers as Proxies 
Dæhlen, Åsmund; Joshi, Suhas Govind (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper reports from the early phase of a Participatory Design (PD) process where the goal is to design technology that involves people with Intellectual Disabilities (ID) and their caretakers as participants. The ...
The effect of intraoperative imaging on surgical navigation for laparoscopic liver resection surgery 
Teatini, Andrea; Pelanis, Egidijus; Aghayan, Davit; Kumar, Rahul Prasanna; Palomar, Rafael; Fretland, Åsmund Avdem; Edwin, Bjørn; Elle, Ole Jacob (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Conventional surgical navigation systems rely on preoperative imaging to provide guidance. In laparoscopic liver surgery, insufflation of the abdomen (pneumoperitoneum) can cause deformations on the liver, introducing ...
Use of mixed reality for improved spatial understanding of liver anatomy 
Pelanis, Egidijus; Kumar, Rahul Prasanna; Aghayan, Davit; Palomar, Rafael; Fretland, Åsmund Avdem; Brun, Henrik; Elle, Ole Jacob; Edwin, Bjørn (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Introduction: In liver surgery, medical images from pre-operative computed tomography and magnetic resonance imaging are the basis for the decision-making process. These images are used in surgery planning and guidance, ...
Dynamic gravity compensation does not increase detection of myocardial ischemia in combined accelerometer and gyro sensor measurements 
Krogh, Magnus Reinsfelt; Halvorsen, Per Steinar; Elle, Ole Jacob; Bergsland, Jacob; Remme, Espen W. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Previous studies have shown that miniaturised accelerometers can be used to monitor cardiac function and automatically detect ischemic events. However, accelerometers cannot differentiate between acceleration due to motion ...
Cisplatin treatment of testicular cancer patients introduces long-term changes in the epigenome 
Bucher-Johannessen, Cecilie; Page, Christian M; Haugen, Trine B; Wojewodzic, Marcin W; Fosså, Sophie D; Grotmol, Tom; Haugnes, Hege S; Rounge, Trine B (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Background Cisplatin-based chemotherapy (CBCT) is part of standard treatment of several cancers. In testicular cancer (TC) survivors, an increased risk of developing metabolic syndrome (MetS) is observed. ...
Knowing Through Relations. On the Epistemology and Methodology of Being a Reflexive Insider 
Geirbo, Hanne Cecilie (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Empirical studies of information and communication technology (ICT) is often done by researchers who work closely with practitioners. Acquiring a role as an insider researcher gives the researcher performative knowledge ...
Survival by colon cancer stage and screening interval in Lynch syndrome: a prospective Lynch syndrome database report 
Dominguez-Valentin, Mev; Seppälä, Toni T; Sampson, Julian R; Macrae, Finlay; Winship, Ingrid; Evans, D. G; Scott, Rodney J; Burn, John; Möslein, Gabriela; Bernstein, Inge; Pylvänäinen, Kirsi; Renkonen-Sinisalo, Laura; Lepistö, Anna; Lindblom, Annika; Plazzer, John-Paul; Tjandra, Douglas; Thomas, Huw; Green, Kate; Lalloo, Fiona; Crosbie, Emma J; Hill, James; Capella, Gabriel; Pineda, Marta; Navarro, Matilde; Vidal, Joan B; Rønlund, Karina; Nielsen, Randi T; Yilmaz, Mette; Elvang, Louise L; Katz, Lior; Nielsen, Maartje; ten Broeke, Sanne W; Nakken, Sigve; Hovig, Eivind; Sunde, Lone; Kloor, Matthias; Knebel Doeberitz, Magnus v; Ahadova, Aysel; Lindor, Noralane; Steinke-Lange, Verena; Holinski-Feder, Elke; Mecklin, Jukka-Pekka; Møller, Pål (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Background We previously reported that in pathogenic mismatch repair (path_MMR) variant carriers, the incidence of colorectal cancer (CRC) was not reduced when colonoscopy was undertaken more frequently ...
Coordination in distributed, self-managing work teams: The roles of initiated and received task interdependence 
Berntzen, Marthe; Wong, Sut I (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
While coordination is assumed to contribute to distributed self-managing work team performance, our knowledge about the factors influencing coordination in such team settings is limited. In the present study, we investigate ...
Geological Multi-scenario Reasoning 
Din, Crystal Chang; Karlsen, Leif Harald; Pene, Irina; Stahl, Oliver; Yu, Ingrid Chieh; Østerlie, Thomas (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
In the oil and gas industry, during exploration prospect assessment, explorationists rely on ad hoc manual work practices and tools for developing and communicating multiple hypothetical geological scenarios of the prospect. ...
Transforming Digital Infrastructures through Platformization 
Bygstad, Bendik; Hanseth, Ole (Book chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper explores and conceptualises a phenomenon called platformization. The background is that the growing complexity of IT solutions is in many organizations costly and virtually impossible to adapt to changing ...
Non-invasive estimation of the intracranial pressure waveform from the central aortic pressure waveform 
Evensen, Karen Brastad; Eide, Per Kristian (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning 
Côté-Allard, Ulysse; Latyr Fall, Cheikh; Drouin, Alexandre; Campeau-Lecours, Alexandre; Gosselin, Clément; Glette, Kyrre; Laviolette, Francois; Gosselin, Benoit (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
In recent years, deep learning algorithms have become increasingly more prominent for their unparalleled ability to automatically learn discriminant features from large amounts of data. However, within the field of ...
Technical differences between sequencing and microarray platforms impact transcriptomic subtyping of colorectal cancer 
Eilertsen, Ina Andrassy; Moosavi, Seyed Hossein; Strømme, Jonas Meier; Nesbakken, Arild; Johannessen, Bjarne; Lothe, Ragnhild A; Sveen, Anita (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Gene expression profiling has increasing relevance in the molecular screening of patients with colorectal cancer (CRC). We investigated potential platform-specific effects on transcriptomic subtyping according to established ...
Innovation Readiness in Healthcare Information Infrastructures: Key Resources to Enable Collaborative Digital Innovation 
Aanestad, Margunn; Vassilakopoulou, Polyxeni (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
This paper describes key requirements for digital innovation readiness in the public healthcare sector. Collaborative innovation models, where internal and external innovators contribute their ideas and solutions put certain ...
Lamarckian Evolution of Simulated Modular Robots 
Jelisavcic, Milan; Glette, Kyrre; Haasdijk, Evert; Eiben, AE (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
We study evolutionary robot systems where not only the robot brains but also the robot bodies are evolvable. Such systems need to include a learning period right after ‘birth’ to acquire a controller that fits the newly ...
On the Utility of Unregulated IP DiffServ Code Point (DSCP) Usage by End Systems 
Barik, Runa; Welzl, Michael; Elmokashfi, Ahmed; Dreibholz, Thomas; Islam, Safiqul; Gjessing, Stein (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
DiffServ was designed to implement service provider quality of service (QoS) policies, where routers change and react upon the DiffServ Code Point (DSCP) in the IP header. However, nowadays, applications are beginning to ...
Biophysical Psychiatry—How Computational Neuroscience Can Help to Understand the Complex Mechanisms of Mental Disorders. 
Mäki-Marttunen, Tuomo; Kaufmann, Tobias; Elvsåshagen, Torbjørn; Devor, Anna; Djurovic, Srdjan; Westlye, Lars Tjelta; Linne, Marja-Leena; Rietschel, Marcella; Schubert, Dirk; Borgwardt, Stefan; Efrim-Budisteanu, Magdalena; Bettella, Francesco; Halnes, Geir; Hagen, Espen; Næss, Solveig; Ness, Torbjørn V; Moberget, Torgeir; Metzner, Christoph; Edwards, Andrew G.; Fyhn, Marianne; Dale, Anders M.; Einevoll, Gaute T.; Andreassen, Ole Andreas (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
The brain is the most complex of human organs, and the pathophysiology underlying abnormal brain function in psychiatric disorders is largely unknown. Despite the rapid development of diagnostic tools and treatments in ...
Additive manufacturing of laminar flow cells for single-molecule experiments 
Ahmadi, Arash; Till, Katharina; Hafting, Yngve; Schuttpelz, Mark; Bjørås, Magnar; Glette, Kyrre; Tørresen, Jim; Rowe, Alexander D.; Dalhus, Bjørn (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
A microfluidic laminar flow cell (LFC) forms an indispensable component in single-molecule experiments, enabling different substances to be delivered directly to the point under observation and thereby tightly controlling ...
Docker-Based Evaluation Framework for Video Streaming QoE in Broadband Networks 
Midoglu, Cise; Zabrovskiy, Anatoliy,; Alay Erduran, Özgü; Hoelbling-Inzko, Daniel; Griwodz, Carsten; Timmerer, Christian (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
Video streaming is one of the top traffic contributors in the Internet and a frequent research subject. It is expected that streaming traffic will grow 4-fold for video globally and 9-fold for mobile video between 2017 and ...
Aggregating Probabilistic Judgments 
Ivanovska, Magdalena; Slavkovik, Marija (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
In this paper we explore the application of methods for classical judgment aggregation in pooling probabilistic opinions on logically related issues. For this reason, we first modify the Boolean judgment aggregation framework ...
A framework with a fully convolutional neural network for semi-automatic colon polyp annotation 
Qadir, Hemin Ali; Solhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars; Balasingham, Ilangko (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Deep learning has delivered promising results for automatic polyp detection and segmentation. However, deep learning is known for being data-hungry, and its performance is correlated with the amount of available training ...
Polyp detection and segmentation using Mask R-CNN: Does a deeper feature extractor CNN always perform better? 
Qadir, Hemin Ali Qadir; Shin, Younghak; Solhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars; Balasingham, Ilangko (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Automatic polyp detection and segmentation are highly desirable for colon screening due to polyp miss rate by physicians during colonoscopy, which is about 25%. However, this computerization is still an unsolved problem ...
Analysis of SLA Compliance in the Cloud -- An Automated, Model-based Approachv 
de Boer, Frank; Giachino, Elena; de Gouw, Stijn; Hähnle, Reiner; Johnsen, Einar Broch; Laneve, Cosimo; Pun, Ka I; Zavattaro, Gianluigi (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Service Level Agreements (SLA) are commonly used to specify the quality attributes between cloud service providers and the customers. A violation of SLAs can result in high penalties. To allow the analysis of SLA compliance ...
Direct Synthesis of Carbon Nanotubes in CMOS-Layout of Micro-heaters 
Roy, Avisek; Azadmehr, Mehdi; Häfliger, Philipp; Ta, Bao Quoc; Aasmundtveit, Knut Eilif (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Direct integration of Carbon Nanotubes (CNTs) in CMOS is important for commercially manufacturing low-cost CNT-based sensors. In such compact sensors, CNTs would act as sensing element, and CMOS circuits would process ...
A clinico-molecular predictor identifies follicular lymphoma patients at risk of early transformation after first-line immunotherapy 
Steen, Chloe Beate; Leich, Ellen; Myklebust, June Helen; Lockmer, Sandra; Wise, Jillian; Wahlin, Björn Engelbrekt; Østenstad, Bjørn; Liestøl, Knut; Kimby, Eva; Rosenwald, Andreas; Smeland, Erlend B; Holte, Harald; Lingjærde, Ole Christian; Brodtkorb, Marianne (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
INTO THE WILD: EDUCATING INTERACTION DESIGNERS 
Begnum, Miriam Eileen Nes; Pettersen, Lene; Sørum, Hanne (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
The interaction designer plays an important role in facilitating high-quality interactions and accessible user experiences. Currently, interaction designers have diverse and often interdisciplinary backgrounds, in which ...
Design and fabrication of CMOS microstructures to locally synthesize carbon nanotubes for gas sensing 
Roy, Avisek; Azadmehr, Mehdi; Ta, Bao Quoc; Häfliger, Philipp; Aasmundtveit, Knut (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Carbon nanotubes (CNTs) can be grown locally on custom-designed CMOS microstructures to use them as a sensing material for manufacturing low-cost gas sensors, where CMOS readout circuits are directly integrated. Such a ...
Responsiveness to PD-1 Blockade in End-Stage Colon Cancer with Gene Locus 9p24.1 Copy-Number Gain 
Ree, Anne Hansen; Nygaard, Vigdis; Russnes, Hege Elisabeth Giercksky; Heinrich, Daniel; Nygaard, Vegard; Johansen, Christin; Bergheim, Inger Riise; Hovig, Eivind; Beiske, Klaus; Negård, Anne; Børresen-Dale, Anne-Lise; Flatmark, Kjersti; Mælandsmo, Gunhild Mari (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Most patients whose large bowel cancer has spread to other organs do not respond to immune therapy. We detected a rare gene mutation, termed 9p24.1 copy-number gain (CNG), in an otherwise incurable colorectal cancer that ...
Predictive Data Transformation Suggestions in Grafterizer Using Machine Learning 
Sajid, Saliha; Zernichow, Bjørn Marius von; Soylu, Ahmet; Roman, Dumitru (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Data preprocessing is a crucial step in data analysis. A substantial amount of time is spent on data transformation tasks such as data formatting, modification, extraction, and enrichment, typically making it more convenient ...
Linked Data Exploration With RDF Surveyor 
Vega-Gorgojo, Guillermo; Slaughter, Laura; Zernichow, Bjørn Marius von; Nikolov, Nikolay; Roman, Dumitru (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Linked Data exploration is an essential task in the process of understanding, assessing, and using datasets made available in the Resource Description Framework (RDF) format. Current solutions for exploration of RDF data ...
Query Extension Suggestions for Visual Query Systems Through Ontology Projection and Indexing 
Klungre, Vidar Norstein; Soylu, Ahmet; Jimenez-Ruiz, Ernesto; Kharlamov, Evgeny; Giese, Martin (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Ontology-based visual query formulation is a viable alternative to textual query editors in the Semantic Web domain for extracting data from structured data sources in terms of the skills and knowledge required. A visual ...
Efficient live and on-demand tiled HEVC 360 VR video streaming 
Jeppsson, Mattis; Espeland, Håvard; Kupka, Tomas; Langseth, Ragnar; Petlund, Andreas; Peng, Qiaoqiao; Xue, Chuansong; Johansen, Dag; Pogorelov, Konstantin; Stensland, Håkon Kvale; Griwodz, Carsten; Riegler, Michael; Halvorsen, Pål (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
360∘ panorama video displayed through Virtual Reality (VR) glasses or large screens offers immersive user experiences, but as such technology becomes commonplace, the need for efficient streaming methods of such high-bitrate ...
A GraphQL approach to Healthcare Information Exchange with HL7 FHIR 
Rabbi, Fazle; Rutle, Adrian; Lamo, Yngve; Pun, Ka I (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Interoperability is accepted as a fundamental necessity for the successful realization of Healthcare Information Systems. It can be achieved by utilizing consistent standards defining syntactic and semantic meaning of the ...
Evolved embodied phase coordination enables robust quadruped robot locomotion 
Nordmoen, Jørgen Halvorsen; Nygaard, Tønnes Frostad; Ellefsen, Kai Olav; Glette, Kyrre (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
Overcoming robotics challenges in the real world requires resilient control systems capable of handling a multitude of environments and unforeseen events. Evolutionary optimization using simulations is a promising way to ...
Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds 
Nygaard, Tønnes Frostad; Martin, Charles Patrick; Torresen, Jim; Glette, Kyrre (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
The complexity of a legged robot’s environment or task can inform how specialised its gait must be to ensure success. Evolving specialised robotic gaits demands many evaluations—acceptable for computer simulations, but not ...
Meaningful Data Sampling for a Faithful Local Explanation Method 
Rasouli, Peyman; Yu, Ingrid Chieh (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Data sampling has an important role in the majority of local explanation methods. Generating neighborhood samples using either the Gaussian distribution or the distribution of training data is a widely-used procedure in ...
Data Infrastructures in the Public Sector: A Critical Research Agenda Rooted in Scandinavian IS Research 
Parmiggiani, Elena; Grisot, Miria (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
Extant Information Systems research emphasizes the strategic benefits of digitalization and value co-creation for business. Less is known, however, about the dynamics of how value is co-created in the digitalization of the ...
Regulation of the unfolded protein response through ATF4 and FAM129A in prostate cancer 
Pällmann, Nora; Livgård, Marte; Tesikova, Martina; Nenseth, Hatice Zeynep; Akkus, Erman; Sikkeland, Jørgen; Jin, Yixin; Koc, Dogukan; Kuzu, Ömer Faruk; Pradhan, Manohar; Danielsen, Håvard Emil; Kahraman, Nermin; Mokhlis, Hamada M.; Ozpolat, Bulent; Banerjee, Partha P.; Uren, Aykut; Fazli, Ladan; Rennie, Paul S.; Jin, Yang; Saatcioglu, Fahri (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Cancer cells exploit many of the cellular adaptive responses to support their survival needs. One such critical pathway in eukaryotic cells is the unfolded protein response (UPR) that is important in normal physiology as ...
Evaluation Framework for Real-Time Adaptive 360-Degree Video Streaming over 5G Networks 
Midoglu, Cise; Alay Erduran, Özgü; Griwodz, Carsten (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
The end-to-end distribution of real-time 360-degree video needs to be evaluated in a wholesome manner, considering all aspects from video capture to encoding, delivery, and playback, as well as timely and appropriate ...
Engaging with Robotic Swarms: Commands from Expressive Motion 
St-Onge, David; Côté-Allard, Ulysse; Glette, Kyrre Harald; Benoit, Gosselin; Beltrame, Giovanni (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
In recent years, researchers have explored human body posture and motion to control robots in more natural ways. These interfaces require the ability to track the body movements of the user in three dimensions. Deploying ...
The product owner in large-scale agile: An empirical study through the lens of relational coordination theory 
Berntzen, Marthe; Moe, Nils Brede; Stray, Viktoria (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
In agile software development, a core responsibility of the product owner (PO) is to communicate business needs to the development team. In large-scale agile software development projects, many teams work toward an overall ...
Resistance to Regulation: Failing Sustainability in Product Lifecycles 
Taylor, Mark Beaumont; Van Der Velden, Maja (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
International policy and law have long sought to ensure that states regulate the negative impacts of production processes on people and the planet. Sustainable Development Goal (SDG) 12 targets sustainable production and ...
Automated Product Localization through Mobile Data Analysis 
Oplenskedal, Magnus Karsten; Taherkordi, Amirhosein; Herrmann, Peter (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Recent developments in the field of indoor RealTime Locating Systems (RTLS) using mobile devices stimulate decision support for users. For instance, smartphone-based navigation in shops can enable location-aware recommendations ...
Predicting Sensor Events, Activities, and Time of Occurrence Using Binary Sensor Data From Homes With Older Adults 
Casagrande, Flavia Dias; Tørresen, Jim; Zouganeli, Evi (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
We present a comprehensive study of state-of-the-art algorithms for the prediction of sensor events and activities of daily living in smart homes. Data have been collected from eight smart homes with real users and 13-17 ...
Chaining of hardware accelerated Virtual Network Functions in PCIe Environments 
Kundel, Ralf; Burkert, Tim; Griwodz, Carsten; Koldehofe, Boris (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
The growth of compute-intensive applications causes an increasing demand for computing resources in both data centers and underlying networks. To satisfy these computing and networking demands, hardware-accelerated computing ...
A comparison of methods for investigating the perceptual center of musical sounds 
London, Justin; Nymoen, Kristian; Langerød, Martin Torvik; Thompson, Marc Richard; Code, David Løberg; Danielsen, Anne (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
In speech and music, the acoustic and perceptual onset(s) of a sound are usually not congruent with its perceived temporal location. Rather, these "P-centers" are heard some milliseconds after the acoustic onset, and a ...
GREM1 is associated with metastasis and predicts poor prognosis in ER-negative breast cancer patients 
Neckmann, Ulrike; Wolowczyk, Camilla; Hall, Martina; Almaas, Eivind; Ren, Jiang; Zhao, Sen; Johannessen, Bjarne; Skotheim, Rolf I; Bjørkøy, Geir; Dijke, Peter t; Holien, Toril (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Background In breast cancer, activation of bone morphogenetic protein (BMP) signaling and elevated levels of BMP-antagonists have been linked to tumor progression and metastasis. However, the simultaneous ...
Tumour-infiltrating CD8<sup>+</sup> lymphocytes and colorectal cancer recurrence by tumour and nodal stage 
Glaire, Mark A; Domingo, Enric; Sveen, Anita; Bruun, Jarle; Nesbakken, Arild; Nicholson, George; Novelli, Marco; Lawson, Kay; Oukrif, Dahmane; Kildal, Wanja; Danielsen, Håvard Emil; Kerr, Rachel; Kerr, David; Tomlinson, Ian; Lothe, Ragnhild A; Church, David N. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Background Intratumoural T-cell infiltrate intensity cortes wrelaith clinical outcome in stage II/III colorectal cancer (CRC). We aimed to determine whether this association varies across this heterogeneous group. Me ...
How does the presence of neural probes affect extracellular potentials? 
Buccino, Alessio Paolo; Kuchta, Miroslav; Jæger, Karoline Horgmo; Ness, Torbjørn V; Berthet, Pierre; Mardal, Kent-Andre; Cauwenberghs, Gert; Tveito, Aslak (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Objective. Mechanistic modeling of neurons is an essential component of computational neuroscience that enables scientists to simulate, explain, and explore neural activity. The conventional approach to simulation of ...
Multiscale deep desmoking for laparoscopic surgery 
Wang, Congcong; Mohammed, Ahmed Kedir; Alaya Cheikh, Faouzi; Beghdadi, Azeddine; Elle, Ole Jacob (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
In minimally invasive surgery, smoke generated by such as electrocautery and laser ablation deteriorates image quality severely. This creates discomfortable view for the surgeon which may increase surgical risk and degrade ...
LogMap Family Participation in the OAEI 2019 
Jimenez-Ruiz, Ernesto (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
We present the participation of LogMap and its variants in the OAEI 2019 campaign. The LogMap project started in January 2011 with the objective of developing a scalable and logic-based ontology matching system. This is ...
XTRA: Towards Portable Transport Layer Functions 
Bianchi, Giuseppe; Welzl, Michael; Tulumello, Angelo; Gringoli, Francesco; Belocchi, Giacomo; Faltelli, Marco; Pontarelli, Salvatore (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
XTRA (XFSM for Transport) aims at providing a first attempt towards a “code-once-port-everywhere” platform-agnostic programming abstraction tailored to the deployment of transport layer functions. XTRA's programming ...
Facial Expression Recognition Using Robust Local Directional Strength Pattern Features and Recurrent Neural Network 
Rokkones, Anders Skibeli; Uddin, Md Zia; Tørresen, Jim (Book chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
This work proposes a novel facial expression recognition approach to contribute to better human-machine interactions. To do that, edge features in facial expression images are combined with a recurrent neural network (RNN) ...
Sentiment analysis is not solved! Assessing and probing sentiment classification 
Barnes, Jeremy Claude; Øvrelid, Lilja; Velldal, Erik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
Neural methods for sentiment analysis have led to quantitative improvements over previous approaches, but these advances are not always accompanied with a thorough analysis of the qualitative differences. Therefore, it is ...
Embedding OWL ontologies with OWL2Vec 
Holter, Ole Magnus; Myklebust, Erik Bryhn; Chen, Jiaoyan; Jimenez-Ruiz, Ernesto (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
In this paper, we present a preliminary study to compute embeddings for OWL 2 ontologies by projecting the ontology axioms into a graph and performing (random) walks over the ontology graph to create a corpus of sentences. ...
Results of the Ontology Alignment Evaluation Initiative 2019 
Jimenez-Ruiz, Ernesto (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
The Ontology Alignment Evaluation Initiative (OAEI) aims at comparing ontology matching systems on precisely defined test cases. These test cases can be based on ontologies of different levels of complexity (from simple ...
Knowledge graph embedding for ecotoxicological effect prediction 
Myklebust, Erik Bryhn; Jimenez-Ruiz, Ernesto; Chen, Jiaoyan; Wolf, Raoul; Tollefsen, Knut-Erik (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Exploring the effects of a chemical compound on a species takes a considerable experimental effort. Appropriate methods for estimating and suggesting new effects can dramatically reduce the work needed to be done by a ...
User validation in ontology alignment: functional assessment and impact 
Huanyu, Li; Dragisic, Zlatan; Faria, Daniel; Ivanova, Valentina; Jimenez-Ruiz, Ernesto; Lambrix, Patrick; Pesquita, Catia (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
User validation is one of the challenges facing the ontology alignment community, as there are limits to the quality of the alignments produced by automated alignment algorithms. In this paper, we present a broad study on ...
A Practical Methodology for Anonymization of Structured Health Data 
Aminifar, Amin; Lamo, Yngve; Pun, Ka I; Rabbi, Fazle (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
Hospitals, as data custodians, have the need to share a version of the data in hand with external research institutes for analysis purposes. For preserving the privacy of the patients, anonymization methods are employed ...
The extracellular matrix proteoglycan lumican improves survival and counteracts cardiac dilatation and failure in mice subjected to pressure overload 
Mohammadzadeh, Naiyereh; Lunde, Ida Gjervold; Andenæs, Kine; Strand, Mari Elen; Aronsen, Jan Magnus; Skrbic, Biljana; Marstein, Henriette; Bandlien, Caroline; Nygård, Ståle; Gorham, Joshua; Sjaastad, Ivar; Chakravarti, Shukti; Christensen, Geir Arve; Engebretsen, Kristin V Thunheim; Tønnessen, Theis (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Left ventricular (LV) dilatation is a key step in transition to heart failure (HF) in response to pressure overload. Cardiac extracellular matrix (ECM) contains fibrillar collagens and proteoglycans, important for maintaining ...
Service tasks of board of directors: A literature review and research agenda in an era of new governance practices 
Åberg, Carl; Bankewitz, Max; Knockaert, Mirjam (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
In their seminal review article on board of directors, Johnson, Daily, and Ellstrand (1996) distinguished between the control, service, and resource dependence tasks of the board and called for a stronger focus on board ...
RaveForce: A Deep Reinforcement Learning Environment for Music 
Lan, Qichao; Tørresen, Jim; Jensenius, Alexander Refsum (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
RaveForce is a programming framework designed for a computational music generation method that involves audio sample level evaluation in symbolic music representation generation. It comprises a Python module and a SuperCollider ...
Investigating the Delay Impact of the DiffServ Code Point (DSCP) 
Welzl, Michael; Islam, Safiqul; Barik, Runa; Gjessing, Stein; Elmokashfi, Ahmed (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
The DiffServ Code Point (DSCP) field in the IP header allows to specify a desired per-hop behavior as packets traverse routers. Setting the DSCP field opportunistically, without prior contractual agreement, has recently ...
Improved Lesion Detection Using Nonlocal Means Post-Processing 
Rindal, Ole Marius Hoel; Rodriguez-Molares, Alfonso; Måsøy, Svein-Erik; Bjåstad, Tore Grüner (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Software beamforming allows more flexible and complex algorithms, often referred to as adaptive beamforming techniques, that are blurring the boundaries between beamforming and image processing. Many adaptive beamforming ...
Efficient routing and reconfiguration in virtualized HPC environments with vSwitch-enabled lossless networks 
Tasoulas, Evangelos; Zahid, Feroz; Gran, Ernst Gunnar; Begnum, Kyrre; Johnsen, Bjørn Dag; Skeie, Tor (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
To meet the demands of communication‐intensive workloads in the cloud, virtual machines (VMs) should utilize low overhead network communication paradigms. In general, such paradigms enable VMs to directly communicate with ...
Bridging analog and digital expertise: Cross-domain collaboration and boundary-spanning tools in the creation of digital innovation 
Pershina, Raissa; Soppe, Birthe; Thune, Taran Mari (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Expertise in digital technologies is necessary, but rarely sufficient to generate digital innovation. The purpose of this paper is to explore how specialists rooted in digital and analog knowledge domains engage in ...
Canonicalizing Knowledge Base Literals 
Chen, Jiaoyan; Jimenez-Ruiz, Ernesto; Horrocks, Ian (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Ontology-based knowledge bases (KBs) like DBpedia are very valuable resources, but their usefulness and usability are limited by various quality issues. One such issue is the use of string literals instead of semantically ...
Learning Semantic Annotations for Tabular Data 
Chen, Jiaoyan; Jimenez-Ruiz, Ernesto; Horrocks, Ian; Sutton, Charles A (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
The usefulness of tabular data such as web tables critically depends on understanding their semantics. This study focuses on column type prediction for tables without any meta data. Unlike traditional lexical matching-based ...
Some elements to a theory of digital management 
Bygstad, Bendik; Lanestedt, Gjermund; Iden, Jon (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Is digital management something else than general management? In this paper we contend that it is, both theoretically and in practice. To develop our argument, we suggest a framework for understanding the particular aspects ...
On the Effect of Word Order on Cross-lingual Sentiment Analysis 
R. Atrio, Alex; Badia, Toni; Barnes, Jeremy Claude (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Current state-of-the-art models for sentiment analysis make use of word order either explicitly by pre-training on a language modeling objective or implicitly by using recurrent neural networks (Rnns) or convolutional ...
Flexible device compositions and dynamic resource sharing in PCIe interconnected clusters using Device Lending 
Markussen, Jonas Sæther; Kristiansen, Lars Bjørlykke; Borgli, Rune Johan; Stensland, Håkon Kvale; Seifert, Friedrich; Riegler, Michael Alexander; Griwodz, Carsten; Halvorsen, Pål (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Modern workloads often exceed the processing and I/O capabilities provided by resource virtualization, requiring direct access to the physical hardware in order to reduce latency and computing overhead. For computers ...
Design of a 900 MHz dual-mode SWIPT for low-power IoT devices 
Abbasizadeh, Hamed; Kim, Sang-Yun; Samadpoor Rikan, Behnam; Hejazi, Arash; Khan, Danial; Pu, Young Gun; Hwang, Keum Cheol; Yang, Youngoo; Kim, Dong In; Lee, Kang-Yoon (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
This paper presents a duty cycle-based, dual-mode simultaneous wireless information and power transceiver (SWIPT) for Internet of Things (IoT) devices in which a sensor node monitors the received power and adaptively ...
Tagging a Norwegian Dialect Corpus 
Kåsen, Andre; Hagen, Kristin; Nøklestad, Anders; Priestley, Joel (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper describes an evaluation of five data-driven part-of-speech (PoS) taggers for spoken Norwegian. The taggers all rely on different machine learning mechanisms: decision trees, hidden Markov models (HMMs), conditional ...
Parameterized Melody Generation with Autoencoders and Temporally-Consistent Noise 
Weber, Aline; Alegre, Lucas N.; Tørresen, Jim; Castro da Silva, Bruno (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
We introduce a machine learning technique to autonomously generate novel melodies that are variations of an arbitrary base melody. These are produced by a neural network that ensures that (with high probability) the melodic ...
Doppler resilience evaluation of different encoding techniques for underwater acoustic ranging systems 
Murano, Santiago; Perez-Rubio, Carmen; Aparicio, Joaquin; De Marziani, Carlos (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Underwater acoustic communication or localization systems can be affected by the Doppler effect when the receiver or emitter is in motion. In those cases, the use of an a appropiate encoding/modulating scheme play a pivotal ...
Graph Peak Caller: Calling ChIP-seq peaks on graph-based reference genomes 
Grytten, Ivar; Rand, Knut Dagestad; Nederbragt, Alexander Johan; Storvik, Geir Olve; Glad, Ingrid Kristine; Sandve, Geir Kjetil (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Graph-based representations are considered to be the future for reference genomes, as they allow integrated representation of the steadily increasing data on individual variation. Currently available tools allow de novo ...
Results of multigene panel testing in familial cancer cases without genetic cause demonstrated by single gene testing 
Dominguez-Valentin, Mev; Nakken, Sigve; Tubeuf, Hélène; Vodák, Daniel; Ekstrøm, Per Olaf; Nissen, Anke M.; Morak, Monika; Holinski-Feder, Elke; Holth, Arild; Capellá, Gabriel M.; Davidson, Ben; Evans, D. Gareth; Martins, Alexandra; Møller, Pål; Hovig, Eivind (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
We have surveyed 191 prospectively sampled familial cancer patients with no previously detected pathogenic variant in the BRCA1/2, PTEN, TP53 or DNA mismatch repair genes. In all, 138 breast cancer (BC) cases, 34 colorectal ...
Arrhythmogenic Current Generation by Myofilament-Triggered Ca2+ Release and Sarcomere Heterogeneity 
Timmermann, Viviane; Edwards, Andrew; Wall, Samuel Thomas; Sundnes, Joakim; McCulloch, Andrew D. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Heterogeneous mechanical dyskinesis has been implicated in many arrhythmogenic phenotypes. Strain-dependent perturbations to cardiomyocyte electrophysiology may contribute to this arrhythmogenesis through processes referred ...
Scar shape analysis and simulated electrical instabilities in a non-ischemic dilated cardiomyopathy patient cohort 
Balaban, Gabriel; Halliday, Brian P; Bai, Wenjia; Porter, Bradley; Malvuccio, Carlotta; Lamata, Pablo; Rinaldi, Christopher Aldo; Plank, Gernot; Rueckert, Daniel; Prasad, Sanjay Kant; Bishop, Martin (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
This paper presents a morphological analysis of fibrotic scarring in non-ischemic dilated cardiomyopathy, and its relationship to electrical instabilities which underlie reentrant arrhythmias. Two dimensional electrophysiological ...
VR Locomotion in the New Era of Virtual Reality: An Empirical Comparison of Prevalent Techniques 
Boletsis, Costas; Cedergren, Jarl Erik (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
The latest technical and interaction advancements within the virtual reality (VR) field have marked a new era, not only for VR, but also for VR locomotion. In this era, well-established, prevalent VR locomotion techniques ...
Text Input in Virtual Reality: A Preliminary Evaluation of the Drum-Like VR Keyboard 
Boletsis, Costas; Kongsvik, Stian (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
The drum-like virtual reality (VR) keyboard is a contemporary, controller-based interface for text input in VR that uses a drum set metaphor. The controllers are used as sticks which, through downward movements, “press” ...
Long-term effects on survival after a 1-year multifactorial vascular risk factor intervention after stroke or TIA: Secondary analysis of a randomized controlled trial, a 7-year follow-up study 
Hagberg, Guri; Fure, Brynjar; Sandset, Else Charlotte; Thommessen, Bente; Ihle-Hansen, Håkon; Øksengård, Anne Rita; Nygård, Ståle; Wyller, Torgeir Bruun; Ihle-Hansen, Hege (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Background: Stroke and coronary heart disease share the same risk factors, and a multifactorial intervention after stroke may potentially result in the same reduction in cardiovascular mortality as seen after coronary ...
An Interactive Musical Prediction System with Mixture Density Recurrent Neural Networks 
Martin, Charles Patrick; Tørresen, Jim (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper is about creating digital musical instruments where a predictive neural network model is integrated into the interactive system. Rather than predicting symbolic music (e.g., MIDI notes), we suggest that predicting ...
Dependency Management in Large-Scale Agile: A Case Study of DevOps Teams 
Stray, Viktoria; Moe, Nils Brede; Aasheim, Andreas (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
Managing dependencies between teams and within teams is critical when running large-scale agile projects. In large-scale software development, work is carried out simultaneously by many developers and development teams. ...
What Methods Software Teams Prefer When Testing Web Accessibility 
Bai, Aleksander; Stray, Inga Viktoria Ågesdatter Gulli; Mork, Heidi Camilla (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Accessibility has become an important focus in software development; the goal is to allow as many people as possible, regardless of their capabilities, to use software. We have investigated the methods that software teams ...
A Deep Learning Approach to Dynamic Passive RTT 
Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Griwodz, Carsten (Chapter / Bokkapittel / AcceptedVersion; Peer reviewed, 2019)
The Round-Trip Time (RTT) is a property of the path between a sender and a receiver communicating with Transmission Control Protocol (TCP) over an IP network and over the public Internet. The end-to-end RTT value influences ...
Integrative genomic analysis of peritoneal malignant mesothelioma: Understanding a case with extraordinary chemotherapy response 
Lund-Andersen, Christin; Nakken, Sigve; Nygård, Ståle; Fromm, Bastian; Aasheim, Lars Birger; Davidson, Ben; Julsrud, Lars; Abrahamsen, Torveig Weum; Kristensen, Annette Torgunrud; Dybdahl, Brit; Larsen, Stein Gunnar; Hovig, Eivind; Flatmark, Kjersti (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Peritoneal malignant mesothelioma is a rare disease with a generally poor prognosis and poor response to chemotherapy. To improve survival there is a need for increased molecular understanding of the disease, including ...
Godot: All the benefits of implicit and explicit futures 
Fernandez-Reyes, Kiko; Clarke, Dave; Henrio, Ludovic; Johnsen, Einar Broch; Wrigstad, Tobias (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Concurrent programs often make use of futures, handles to the results of asynchronous operations. Futures provide means to communicate not yet computed results, and simplify the implementation of operations that synchronise ...
A stable non-interleaving early operational semantics for the pi-calculus 
Hildebrandt, Thomas; Johansen, Christian; Norman, Håkon (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
We give the first non-interleaving early operational semantics for the pi-calculus which generalises the standard interleaving semantics and unfolds to the stable model of prime event structures. Our starting point is the ...
Simvastatin induces autophagic flux to restore cerulein-impaired phagosome-lysosome fusion in acute pancreatitis 
Piplani, Honit; Marek-Iannucci, Stefanie; Sin, Jon; Hou, Jean; Takahashi, Toshimasa; Sharma, Ankush; de Freitas Germano, Juliana; Waldron, Richard T; Saadaeijahromi, Hannaneh; Song, Yang; Gulla, Aiste; Wu, Bechien; Lugea, Aurelia; Andres, Allen M; Gaisano, Herbert Y; Gottlieb, Roberta A; Pandol, Stephen J (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Background During pancreatitis, autophagy is activated, but lysosomal degradation of dysfunctional organelles including mitochondria is impaired, resulting in acinar cell death. Retrospective cohort analyses demonstrated ...
Monitoring cardiac function by accelerometer -Detecting start systole from the acceleration signal makes additional ECG recordings for R-peak detection redundant 
Wajdan, Ali; Krogh, Magnus Reinsfelt; Villegas-Martinez, Manuel; Halvorsen, Per Steinar; Grymyr, Ole-Johannes Holm Nielsen; Elle, Ole Jacob; Remme, Espen W. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
A miniaturized accelerometer attached to the heart has been used for monitoring functional parameters such as early systolic velocity and displacement. Currently, processing of the accelerometer signal for derival of these ...
Mitral Annulus Segmentation Using Deep Learning in 3-D Transesophageal Echocardiography 
Andreassen, Børge Solli; Veronesi, Federico; Gerard, Olivier; Solberg, Anne H Schistad; Samset, Eigil (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
3D Transesophageal Echocardiography is an excellent tool for evaluating the mitral valve and is also well suited for guiding cardiac interventions. We introduce a fully automatic method for mitral annulus segmentation in ...
Team Autonomy in Large-Scale Agile 
Moe, Nils Brede; Dahl, Bjørn Haug; Stray, Viktoria; Karlsen, Lina Sund; Schjødt-Osmo, Stine (Chapter / Bokkapittel / PublishedVersionAcceptedVersionPublishedVersionAcceptedVersion; Peer reviewed, 2019)
Large-scale software development is increasingly making use of agile practices. In large-scale projects, a team needs to align with other teams and the rest of the organization. This has been shown to threaten team autonomy, ...
An image fusion tool for echo‐guided left ventricular lead placement in cardiac resynchronization therapy: Performance and workflow integration analysis 
Babic, Aleksandar; Odland, Hans Henrik; Lyseggen, Erik; Holm, Torbjørn; Ross, Stian Balnagown; Hopp, Einar; Haugaa, Kristina; Kongsgård, Erik; Edvardsen, Thor; Olivier, Gerard; Samset, Eigil (Journal article / Tidsskriftartikkel / AcceptedVersion; Peer reviewed, 2019)
Background The response rate to cardiac resynchronization therapy (CRT) may be improved if echocardiographic‐derived parameters are used to guide the left ventricular (LV) lead deployment. Tools to visually integrate ...
Performance optimization and modeling of fine-grained irregular communication in UPC 
Lagraviere, Jeremie Alexandre Emilien; Langguth, Johannes; Prugger, Martina; Einkemmer, Lukas; Ha, Hoai Phuong; Cai, Xing (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
The Unified Parallel C (UPC) programming language offers parallelism via logically partitioned shared memory, which typically spans physically disjoint memory subsystems. One convenient feature of UPC is its ability to ...
Annotating evaluative sentences for sentiment analysis: a dataset for Norwegian 
Mæhlum, Petter; Barnes, Jeremy Claude; Øvrelid, Lilja; Velldal, Erik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper documents the creation of a large-scale dataset of evaluative sentences – i.e. both subjective and objective sentences that are found to be sentiment-bearing – based on mixed-domain professional reviews from ...
Rocking the Boat: Proposing a Participatory Business Model for News 
Pettersen, Lene; Krumsvik, Arne H. (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
The digitization of newspapers has opened up new possibilities for user involvement, yet established practices in the media industry hinder news organisations from fully exploiting the many new opportunities that exist in ...
miRNA expression changes during the course of neoadjuvant bevacizumab and chemotherapy treatment in breast cancer 
Lindholm, Evita Maria; Aure, Miriam Ragle; Haugen, Mads Haugland; Sahlberg, Kristine Kleivi; Kristensen, Vessela N.; Nebdal, Daniel; Børresen-Dale, Anne-Lise; Lingjærde, Ole Christian; Engebråten, Olav (Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
One of the hallmarks of cancer is sustained angiogenesis. Favorable results have been reported in some breast cancer (BC) patients receiving antiangiogenic therapy with bevacizumab (Bev) in combination with chemotherapy, ...
Lexicon information in neural sentiment analysis: a multi-task learning approach 
Barnes, Jeremy Claude; Touileb, Samia; Øvrelid, Lilja; Velldal, Erik (Chapter / Bokkapittel / PublishedVersion; Peer reviewed, 2019)
This paper explores the use of multi-task learning (MTL) for incorporating external knowledge in neural models. Specifically, we show how MTL can enable a BiLSTM sentiment classifier to incorporate information from sentiment ...
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