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The Reproducibility Crisis Is Real
(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
(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
(Master thesis, 2021) -
Research method in AI - Reproducibility of results
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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
(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 ... -
Resilience and safety in agile development (through SafeScrum)
(Chapter, 2017)There is a need to build systems faster and to handle unanticipated events safely and securely. Agility is defied as "the ability … to react to change in its environment faster than the rate of these changes". Agile ... -
A response to the European Data Protection Supervisor ‘Misunderstandings in Biometrics’ by the European Association for Biometrics
(Peer reviewed; Journal article, 2021)The intention of this position paper is to comment on the joint European Data Protection Supervisor (EDPS)-Agencia Española de Protección de Datos (aepd) publication ‘14 Misunderstandings with regard to Biometric Identification ... -
Responsible AI and Analytics for an Ethical and Inclusive Digitized Society
(Lecture Notes in Computer Science (LNCS);, Book, 2021) -
Responsible AI and Its Effect on Organizational Performance
(Master thesis, 2022)Kunstig intelligens (KI) er en teknologi som øker i popularitet som anvendes i flere sektorer. Bruken av KI har vist betydelige fremskritt innen automatisering, kvalitetssikring og økende effektivitet, for å nevne noen. I ... -
Responsible AI for Digital Health: a Synthesis and a Research Agenda
(Journal article; Peer reviewed, 2021)Responsible AI is concerned with the design, implementation and use of ethical, transparent, and accountable AI technology in order to reduce biases, promote fairness, equality, and to help facilitate interpretability and ... -
Responsible AI Governance and Its Effect on Competitive Performance
(Master thesis, 2021)Kunstig intelligens («Artificial Intelligence»¬ – AI) kan gi bedrifter mange fordeler, men det bringer også med seg flere utfordringer og risikoer som ikke er sett ved bruken av teknologi tidligere. Bedrifter bør etablere ...