• A Representation of Artificial Spin Ice for Evolutionary Search 

      Penty, Arthur George; Tufte, Gunnar (Chapter, 2021)
      Arrangements of nanomagnets known as artificial spin ices show great potential for use in unconventional computation. The majority of exploratory work done in this area considers just a small handful of well studied ...
    • Representation of Business Processes with Semantic Rule Languages 

      Liadal, Terese (Master thesis, 2009)
      Summary.
    • Representing and reasoning with constraints in Creek 

      Stige, Martin (Master thesis, 2006)
      This work studies constraint mechanisms in frame-based knowledge representation systems with the aim of improving the knowledge modelling abilities of the TrollCreek system. TrollCreek is an implementation of Creek, an ...
    • Representing and reasoning with constraints in Creek 

      Stige, Martin (Master thesis, 2006)
      This work studies constraint mechanisms in frame-based knowledge representation systems with the aim of improving the knowledge modelling abilities of the TrollCreek system. TrollCreek is an implementation of Creek, an ...
    • Representing sets in C++: A practical investigation 

      Hagen, Lars Greger Nordland (Master thesis, 2014)
      The standard C++ classes for storing ordered sets and maps were created at a time when the latencies of the memory hierarchy were not as dominant a factor of performance as they are today. Consequently, the restrictions ...
    • Representing uncertainty in spatial and spatiotemporal databases 

      Tøssebro, Erlend (Dr. ingeniøravhandling, 0809-103X; 2002:88, Doctoral thesis, 2002)
      The theme of this thesis is uncertainty in spatial and spatiotemporal databases. Due to lack of accurate measurements, or rapid changes in time, spatial and spatiotemporal data are often uncertain. This thesis presents new ...
    • The Reproducibility Crisis Is Real 

      Gundersen, Odd Erik (Peer reviewed; Journal article, 2020)
      The reproducibility crisis is real, and it is not only the field of psychology that has to deal with it. All the sciences are affected; the field of artificial intelligence is not an exception.
    • Reproducibility of the Top-Performing Methods in the M4 Competition 

      Soleim, Maria (Master thesis, 2020)
      Reproduserbarhet har nylig fått økt oppmerksomhet innen kunstig intelligens. Selv om det hevdes at kunstig intelligens har en reproduserbarhetskrise, er dette ennå ikke bekreftet om tidsserieprognoser. Denne studien tar ...
    • Reputation systems in peer-to-peer networks 

      Finstad, Robin Aleksander (Master thesis, 2021)
    • Research method in AI - Reproducibility of results 

      Kjensmo, Sigbjørn (Master thesis, 2017)
      Reproducibility of published computational research has seen increased interest the last twenty years. Regardless of academic field and the impact-factor of journals, studies of reproducibility of computational research ...
    • Research method in AI: Reproducibility of results 

      Nilsen, Nicklas Grimstad (Master thesis, 2018)
      In recent years, increasing attention has been given to an apparent issue within the scientific fields where the reproducibility of scientific results is questioned. This trend is commonly termed a crisis of reproducibility, ...
    • Research proposal: Explainability methods for machine learning systems for multimodal medical datasets 

      Storås, Andrea; Strumke, Inga; Riegler, Michael Alexander; Halvorsen, Pål (Chapter, 2022)
      This paper contains the research proposal of Andrea M. Storås that was presented at the MMSys 2022 doctoral symposium. Machine learning models have the ability to solve medical tasks with a high level of performance, e.g., ...
    • Resectograms: Real-Time 2D Visualization of Liver Virtual Resections 

      Meng, Ruoyan; Aghayan, Davit; Pelanis, Egidijus; Edwin, Bjørn von Gohren; Alaya Cheikh, Faouzi; Palomar Avalos, Rafael (Peer reviewed; Journal article, 2023)
      Visualization of virtual resections plays a central role in computer-assisted liver surgery planning. The complexity of the liver's internal structures often leads to difficulties in its proper visualization during the ...
    • Reservoir Computing in Artificial Spin Ice 

      Jensen, Johannes Høydahl; Tufte, Gunnar (Peer reviewed; Journal article, 2020)
      Artificial spin ice (ASI) are systems of coupled nanomagnets arranged on a 2D lattice. ASIs are promising computing substrates due to the rich variety of emergent behavior, accompanied by considerable control and flexibility. ...
    • Reservoir Computing in the Spiking Domain Using Developmental Cellular Automata Machines 

      Robertsen, Øyvind (Master thesis, 2017)
      As computer systems and networks grow in size and complexity, traditional top-down en- gineering techniques are quickly beckoming inadequate for achieving the desired results. Designing such systems that are robust and ...
    • Reservoir computing in-materio: Emergence and control in unstructured and structured materials 

      Jensen, Johannes Høydahl (Doctoral theses at NTNU;2021:373, Doctoral thesis, 2021)
      This thesis is an exploration of novel material substrates for computation. Guided by the principles of material computation, we investigate what computations a material supports naturally. The goal is to perform computation ...
    • Reservoir Computing Using Nonuniform Binary Cellular Automata 

      Nichele, Stefano; Gundersen, Magnus Skogstrøm (Journal article; Peer reviewed, 2017)
      The reservoir computing (RC) paradigm utilizes a dynamical system (a reservoir) and a linear classifier (a readout layer) to process data from sequential classification tasks. In this paper, the usage of cellular automata ...
    • Reservoir Computing Using Quasi-Uniform Cellular Automata 

      Gundersen, Magnus Skogstrøm (Master thesis, 2017)
      Unconventional computing offers many advantages over traditional computing systems; vast parallelism, scalability and robustness among others. A Cellular Automaton (CA) is a biologically inspired computational substrate ...
    • Reservoir Computing with a Chaotic Circuit 

      Jensen, Johannes; Tufte, Gunnar (Chapter, 2017)
      Reservoir Computing has been highlighted as a promising methodology to perform computation in dynamical systems. This makes Reservoir Computing particularly interesting for exploiting physical systems directly as computing ...
    • Reservoir Production Optimization Using Genetic Algorithms and Artificial Neural Networks 

      Andersen, Mats Grønning (Master thesis, 2009)
      This master's thesis has investigated how methods from artificial intelligence (AI) can be used to perform and augment production optimization of sub-sea oil reservoirs. The methods involved in this work are genetic ...