• Responsible innovation in mobile journalism : Exploring professional journalists` learning and innovation processes 

  Salzmann, Anja (Doctoral thesis, 2022-08-19)

  Denne avhandlingen handler om innovasjon i mobiljournalistikk, og utforsker hvordan profesjonelle TV- og avisjournalister bruker smarttelefoner som journalistisk produksjonsverktøy. I tillegg reflekteres kritisk over ...

• Deep Time Growing Neural Network vs Convolutional Neural Network for Intelligent Phonocardiography 

  Gharehbaghi, Arash; Babic, Ankica (Journal article; Peer reviewed, 2022)

  This paper explores the capabilities of a sophisticated deep learning method, named Deep Time Growing Neural Network (DTGNN), and compares its possibilities against a generally well-known method, Convolutional Neural network ...

• Information Technologies for Cognitive Decline 

  Farsirotos, Gina; Babic, Ankica (Studies in Health Technology and Informatics;295, Chapter, 2022)

  Information technology (IT) is used to establish diagnosis and provide treatments for people with cognitive decline. The condition affects many before it becomes clear that more permanent changes, like dementia, could be ...

• Designing a Dashboard for HIV-data Reporting Performance by Facilities: Case Study of Kenya 

  Gesicho, Milka Bochere; Babic, Ankica (Journal article; Peer reviewed, 2022)

  Health management information systems implemented in low-and middle-income countries (LMICs) have provided availability of HIV-data. As such, dashboards have become increasingly popular as they provide a potentially powerful ...

• Grasp Your Pain: A Tangible Tool to Explore the Logging and Assessment of Pain 

  Løkeland, Louise Sandal (Master thesis, 2022-06-01)

  Pain is a subjective and innate experience that can be difficult to describe. Chronic pain is associated with decreased quality of life, and it is prevalent in cancer populations. With a growing elderly population, the ...

• Nå er det tenåringenes tur - design av publikumsinteraksjon for tenåringer 

  Hoem, Liva Snilstveit (Master thesis, 2022-06-01)

• Hvordan en interaktiv løsning til et direktesendt TV- program kan fremme publikumsdeltakelse blant tenåringer. 

  Stephansen, Thea Elisabeth Bø (Master thesis, 2022-06-01)

• Exploring Sustainability in E-commerce 

  Otterstad, Mona Therese (Master thesis, 2022-06-01)

  The textile and clothing industry is one of the largest polluters of our time, being responsible for 10 % of all yearly emissions. During all stages of production, there is environmental impact, from the production of ...

• Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data 

  Aminifar, Amin; Matin, Shokri; Rabbi, Fazle; Pun, Violet Ka I; Lamo, Yngve (Journal article; Peer reviewed, 2022)

  Artificial intelligence and machine learning have recently attracted considerable attention in the healthcare domain. The data used by machine learning algorithms in healthcare applications is often distributed over multiple ...

• Supporting Newsrooms with Journalistic Knowledge Graph Platforms: Current State and Future Directions 

  Ocaña, Marc Gallofré; Opdahl, Andreas Lothe (Journal article; Peer reviewed, 2022)

  Increasing competition and loss of revenues force newsrooms to explore new digital solutions. The new solutions employ artificial intelligence and big data techniques such as machine learning and knowledge graphs to manage ...

• Logics with Group Announcements and Distributed Knowledge: Completeness and Expressive Power 

  Ågotnes, Thomas; Alechina, Natasha; Galimullin, Rustam (Journal article; Peer reviewed, 2022)

  Public announcement logic (PAL) is an extension of epistemic logic with dynamic operators that model the effects of all agents simultaneously and publicly acquiring the same piece of information. One of the extensions of ...

• Teachers' voices on the unspoken oracy construct: "Oracy-the taken-for-granted competence" 

  Kaldahl, Anne-Grete (Journal article; Peer reviewed, 2022)

  This study explores what teachers understand as good oracy (speaking and listening competence as well as body language) in and across subjects, and their perceptions of their own prerequisites in the work of cultivating ...

• Computational ethics 

  Edmond, Awad; Levine, Sydney; Anderson, Michael; Susan Leigh, Anderson; Conitzer, Vincent; Crockett, M.J.; Everett, Jim A.C.; Evgeniou, Theodoros; Gopnik, Alison; Jamison, Julian C.; Kim, Taw Wan; Liao, S. Matthew; Meyer, Michelle N.; Mikhail, John; Opoku-Agyemang, Kweku; Schaich Borg, Jana; Schroeder, Juliana; Sinott-Armstrong, Walter; Slavkovik, Marija; Tenenbaum, Josh B. (Journal article; Peer reviewed, 2022)

  Technological advances are enabling roles for machines that present novel ethical challenges. The study of 'AI ethics' has emerged to confront these challenges, and connects perspectives from philosophy, computer science, ...

• Impact of Electronic Medical Records Systems in Reporting HIV Health Data Indicators in Kenya 

  Ngugi, Philomena Njeri; Gesicho, Milka Bochere; Babic, Ankica (Journal article; Peer reviewed, 2022)

  Electronic Medical Records Systems (EMRs) improve the quality of patient care and reduce medical errors. Nevertheless, their role in health data indicator reporting performance is unclear. We assessed reporting completeness ...

• User-centred design of clinical dashboards for guided iCBT 

  Wake, Jo Dugstad; Rabbi, Fazle; Inal, Yavuz; Nordgreen, Tine (Journal article; Peer reviewed, 2022)

  As Internet-based technology spreads to most areas of life, it becomes a challenge to grasp opportunities arising from enormous amounts of data being generated from various sources such as smart homes, smart cities, health ...

• Coalition and Relativised Group Announcement Logic 

  Galimullin, Rustam (Journal article; Peer reviewed, 2021)

  There are several ways to quantify over public announcements. The most notable are reflected in arbitrary, group, and coalition announcement logics (APAL, GAL, and CAL correspondingly), with the latter being the least ...

• Adopting a mojo mindset: Training newspaper reporters in mobile journalism 

  Salzmann, Anja; Guribye, Frode; Gynnild, Astrid (Journal article; Peer reviewed, 2021)

  Due to the visual turn in journalism and the emergence of mobile journalism, many newspaper journalists have had to change the way they work and learn to use new tools. To face these changes, traditional news organizations ...

• Logic of Justified Beliefs Based on Argumentation 

  Shi, Chenwei; Smets, Sonja; Velázquez-Quesada, Fernando R. (Journal article; Peer reviewed, 2021)

  This manuscript presents a topological argumentation framework for modelling notions of evidence-based (i.e., justified) belief. Our framework relies on so-called topological evidence models to represent the pieces of ...

• Tracking probabilistic truths: a logic for statistical learning 

  Baltag, Alexandru; Rad, Soroush Rafiee; Smets, Sonja (Journal article; Peer reviewed, 2021)

  We propose a new model for forming and revising beliefs about unknown probabilities. To go beyond what is known with certainty and represent the agent’s beliefs about probability, we consider a plausibility map, associating ...

• Using natural language processing and artificial intelligence to explore the nutrition and sustainability of recipes and food 

  van Erp, Marieke; Reynolds, Christian; Maynard, Diana; Starke, Alain Dominique; Ibáñez Martín, Rebeca; Andres, Frederic; Leite, Maria C. A.; Alvarez de Toledo, Damien; Schmidt Rivera, Ximena; Trattner, Christoph; Brewer, Steven; Adriano Martins, Carla; Kluczkovski, Alana; Frankowska, Angelina; Bridle, Sarah; Levy, Renata Bertazzi; Rauber, Fernanda; Tereza da Silva, Jacqueline; Bosma, Ulbe (Journal article; Peer reviewed, 2021)

  In this paper, we discuss the use of natural language processing and artificial intelligence to analyze nutritional and sustainability aspects of recipes and food. We present the state-of-the-art and some use cases, followed ...

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