Blar i TKD - Institutt for informasjonsteknologi på tittel

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    • High-frequency expansions for time-periodic Lindblad generators 

      Schnell, Alexander; Denysov, Sergiy; Eckardt, André (Physical review B (PRB);104, 165414, Peer reviewed; Journal article, 2021-10-15)
      Floquet engineering of isolated systems is often based on the concept of the effective time-independent Floquet Hamiltonian, which describes the stroboscopic evolution of a periodically driven quantum system in steps of ...

    • High-resolution lead–lag relations between Barents Sea temperatures, the AMOC and the AMO during 1971-2018 

      Seip, Knut Lehre; Wang, Hui (Peer reviewed; Journal article, 2023)
      The direction of heat transport from the atmosphere to the Barents Sea, and between the Barents Sea and the North Atlantic is important for understanding the interplay between Greenland ice melting and anthro- pogenic ...

    • Higher harmonics of azimuthal anisotropy in relativistic heavy-ion collisions in HYDJET++ model 

      Bravina, L. V.; Johansson, B. H.; Eyyubova, G. Kh.; Korotkikh, V. L.; Lokhtin, I. P.; Malinina, L. V.; Petrushanko, S. V.; Snigirev, A. M.; Zabrodin, E. E. (The European Physical Journal C;74(3), Journal article; Peer reviewed, 2014)
      The LHC data on azimuthal anisotropy harmonics from PbPb collisions at center-of-mass energy 2.76TeV per nucleon pair are analyzed and interpreted in the framework of the HYDJET++ model. The cross-talk of elliptic v2 and ...

    • The Hilbert Scheme of Buchsbaum space curves 

      Kleppe, Jan Oddvar (Annales de l'Institut Fourier;62, Journal article; Peer reviewed, 2012)
      We consider the Hilbert scheme H(d,g) of space curves C with homogeneous ideal I(C):=H_{*}^0(\sI_C) and Rao module M:=H_{*}^1(\sI_C). By taking suitable generizations (deformations to a more general curve C') of C, we ...

    • Historical Oslo on a handheld device - a mobile augmented reality application 

      Chen, Weiqin (Procedia Computer Science;35, Journal article; Peer reviewed, 2014-09)
      Mobile augmented reality (AR) applications can provide just-in-time information based on the user's preferences and context and thus improve the tourist experience. Due to various problems, the potential of this technology ...

    • Homotopy continuation methods for coupled-cluster theory in quantum chemistry 

      Faulstich, Fabian M.; Laestadius, Andre (Molecular Physics;, Peer reviewed; Journal article, 2023)
      Homotopy methods have proven to be a powerful tool for understanding the multitude of solutions provided by the coupled-cluster polynomial equations. This endeavor has been pioneered by quantum chemists that have undertaken ...

    • HOST-ATS: automatic thumbnail selection with dashboard-controlled ML pipeline and dynamic user survey 

      Husa, Andreas; Midoglu, Cise; Hammou, Malek; Halvorsen, Pål; Riegler, Michael (MMSys: ACM Multimedia Systems;MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference, Conference object, 2022)
      We present HOST-ATS, a holistic system for the automatic selection and evaluation of soccer video thumbnails, which is composed of a dashboard-controlled machine learning (ML) pipeline, and a dynamic user survey. The ML ...

    • Hostage of the Software: Experiences in Teaching Inferential Statistics to Undergraduate Human-Computer Interaction Students and a Survey of the Literature 

      Sandnes, Frode Eika; Eika, Evelyn (Chapter; Peer reviewed, 2018)
      Students’ knowledge of inferential statistics is lacking in many computer science study programs. Yet, the needs for inferential statistical skills have emerged with new fields of study such as human-computer interaction ...

    • Household Energy Consumption Prediction: A Deep Neuroevolution Approach 

      Soudaei, Alexander; Zhang, Jianhua; Elmi, Mohamed Ahmed; Tsechoev, Mikael; Khan, Zishan; Osman, Ahmed Abbas (Chapter, 2023)
      Accurate energy consumption prediction can provide insights to make better informed decisions on energy purchase and generation. It also can prevent overloading and make it possible to store energy more efficiently. In ...

    • How (not to) Run an AI Project in Investigative Journalism 

      Fridman, M.; Krøvel, Roy; Palumbo, Fabrizio (Peer reviewed; Journal article, 2023)
      Data journalists are increasingly reliant on automation and artificial intelligence (AI) to process and analyse massive datasets. AI can contribute to journalism by creating visualizations, verifying accuracy of ...

    • How do orthoses impact ease of donning, handwriting, typewriting, and transmission of manual torque: A study of three prefabricated wrist hand orthoses 

      Ferrari, Ana Lya M.; Medola, Fausto Orsi; Sandnes, Frode Eika (Journal of Prosthetics and Orthotics;, Journal article; Peer reviewed, 2020-10-20)
      Introduction Many upper-limb injuries have work-related causes such as continued use of computers, typing activities, mouse manipulation, and repetitive movements performed for long periods. This study evaluated the ...

    • Huawei, 5G and Security: Technological Limitations and Political Responses 

      Friis, Karsten; Lysne, Olav (Development and Change;Volume 52, Issue 5, Special Issue: The Wind from the East: China and the Economic Future of Europe, Peer reviewed; Journal article, 2021-10-03)
      How did Chinese 5G providers, such as Huawei, become a security concern in the USA and Europe? Were the security concerns related to 5G and Chinese suppliers based upon technological features of the systems, or were they ...

    • Huldra: a framework for collecting crowdsourced feedback on multimedia assets 

      Hammou, Malek; Midoglu, Cise; Hicks, Steven; Storås, Andrea; Sabet, Saeed; Strumke, Inga; Riegler, Michael; Halvorsen, Pål (MMSys: ACM Multimedia Systems;MMSys '22: Proceedings of the 13th ACM Multimedia Systems Conference, Conference object, 2022)
      Collecting crowdsourced feedback to evaluate, rank, or score multimedia content can be cumbersome and time-consuming. Most of the existing survey tools are complicated, hard to customize, or tailored for a specific asset ...

    • Human activity recognition using wearable sensors, discriminant analysis, and long short-term memory-based neural structured learning 

      Uddin, Md Zia; Soylu, Ahmet (Scientific Reports;11, Article number: 16455 (2021), Peer reviewed; Journal article, 2021-08-12)
      Healthcare using body sensor data has been getting huge research attentions by a wide range of researchers because of its good practical applications such as smart health care systems. For instance, smart wearable sensor-based ...

    • Human Experts’ Perceptions of Auto-Generated Summarization Quality 

      Lotfigolian, Maryam; Papanikolaou, Christos; Taghizadeh, Samaneh; Sandnes, Frode Eika (Chapter; Conference object, 2023)
      In this study we addressed automatic summarizations generated us- ing modern artificial intelligence techniques. Several mathematical methods for evaluating the performance of automatic summariza- tion exist. Such methods ...

    • Human Performance Characteristics of Three-finger Chord Sequences 

      Sandnes, Frode Eika (Procedia Manufacturing;3, Journal article; Peer reviewed, 2015-10-23)
      This study addressed human performance characteristics of chord sequences using a framework where each alphabetic letter is represented by a unit of three three-finger chords recalled according to a mnemonic. Fourteen ...

    • Hvorfor trenger vi statistikk? 

      Brurberg, Kjetil Gundro; Hammer, Hugo Lewi (Sykepleien Forskning;8 (1), Journal article, 2013)

    • The Hydra: A layered, redundant configuration management approach for cloud-agnostic disaster recovery 

      Huang, Ke; Begnum, Kyrre (IEEE International Conference on Cloud Computing Technology and Science;, Chapter; Peer reviewed, 2013)
      This paper demonstrates a bottom-up approach to developing autonomic fault tolerance and disaster recovery on cloud-based deployments. We avoid lock-in to specific recovery features provided by the cloud itself, and instead ...

    • HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD) 

      Hicks, Steven; Stautland, Andrea; Fasmer, Ole Bernt; Førland, Wenche; Hammer, Hugo Lewi; Halvorsen, Pål; Mjeldheim, Kristin; Ødegaard, Ketil Joachim; Osnes, Berge; Syrstad, Vigdis Elin Giæver; Riegler, Michael; Jakobsen, Petter (MMSys: ACM Multimedia Systems;MMSys '21: Proceedings of the 12th ACM Multimedia Systems Conference, Conference object, 2021-09-22)
      Machine learning research within healthcare frequently lacks the public data needed to be fully reproducible and comparable. Datasets are often restricted due to privacy concerns and legal requirementsthat come with ...

    • HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy 

      Borgli, Hanna; Thambawita, Vajira; Smedsrud, Pia H; Hicks, Steven; Jha, Debesh; Eskeland, Sigrun Losada; Randel, Kristin Ranheim; Pogorelov, Konstantin; Lux, Mathias; Dang Nguyen, Duc Tien; Johansen, Dag; Griwodz, Carsten; Stensland, Håkon Kvale; Garcia-Ceja, Enrique; Schmidt, Peter T; Hammer, Hugo Lewi; Riegler, Michael; Halvorsen, Pål; de Lange, Thomas (Scientific Data;7, Article number: 283 (2020), Journal article; Peer reviewed, 2020-08-28)
      Artifcial intelligence is currently a hot topic in medicine. However, medical data is often sparse and hard to obtain due to legal restrictions and lack of medical personnel for the cumbersome and tedious process to manually ...