Blar i NTNU Open på forfatter "Gundersen, Odd Erik"

Viser treff 41-60 av 71

    • Neural Ordinary Differential Equations for Forecasting in the Energy Sector 

      Borg, Stefan Artur Sobczyszyn (Master thesis, 2019)
      Nevrale Ordinære Differentiallikninger (NODE) [Chen et al., 2018] er en ny familie av nevrale nettverk som eksplisitt modellerer nettverkets skjulte tilstand som et dynamisk system, og løser dette systemet ved å bruke en ...

    • On Reporting Robust and Trustworthy Conclusions from Model Comparison Studies Involving Neural Networks and Randomness 

      Gundersen, Odd Erik; Shamsaliei, Saeid; Kjærnli, Håkon Slåtten; Langseth, Helge (Chapter, 2023)
      The performance of neural networks differ when the only difference is the seed initializing the pseudo-random number generator that generates random numbers for their training. In this paper we are concerned with how random ...

    • Out-of-the-Box Reproducibility: A Survey of Machine Learning Platforms 

      Isdahl, Richard Juul; Gundersen, Odd Erik (Chapter, 2019)
      Even machine learning experiments that are fully conducted on computers are not necessarily reproducible. An increasing number of open source and commercial, closed source machine learning platforms are being developed ...

    • Performing reproductions to understand the state of reproducibility in current AI research 

      Mølnå, Martin; Cappelen, Odd (Master thesis, 2018)
      In the last few years, the issue of reproducibility has gained increased attention in many scientific fields, including Artificial Intelligence (AI). Reproducibility of published results is a key concept of the scientific ...

    • Physically Based Simulation and Visualization of Fire in Real-Time using the GPU 

      Rødal, Knut Erik Samuel; Storli, Geir (Master thesis, 2006)
      Fire is a powerful natural effect which can greatly enhance the immersion of virtual environments and games. In this thesis we describe the theory and GPU implementation of a physically based approach for simulating and ...

    • References to Artificial Intelligence in Canada's Court Cases 

      Intahchomphoo, Channarong; Vellino, André; Gundersen, Odd Erik; Tschirhart, Christian; Shaaban, Eslam (Peer reviewed; Journal article, 2020)
      Artificial intelligence (AI) is a widely discussed topic in many fields including law. Legal studies scholars, particularly in the domain of technology and internet law, have expressed their hopes and concerns regarding ...

    • Reports of the workshops held at the 2019 aaai conference on artificial intelligence 

      Barash, Guy; Castillo-Effen, Mauricio; Chhaya, Niyati; Clark, Peter; Espinoza, Huáscar; Farchi, Eitan; Geib, Christopher; Gundersen, Odd Erik; hÉigeartaigh, Seán Ó.; Hernández-Orallo, José; Hori, Chiori; Huang, Xiaowei; Jaidka, Kokil; Kapanipathi, Pavan; Keren, Sarah; Kim, Seokhwan; Lanctot, Marc; Lange, Danny; Martinez, David; Mattar, Marwan; Mausam, Mausam; Mcauley, Julian; Michalowski, Martin; Mirsky, Reuth; Mottaghi, Roozbeh; Osborn, Joseph C.; Pérolat, Julien; Schmid, Martin; Shaban-Nejad, Arash; Shehory, Onn; Srivastava, Biplav; Streilein, William; Talamadupula, Kartik; Togelius, Julian; Yoshino, Koichiro; Zhang, Quanshi; Zitouni, Imed (Journal article, 2019)

    • 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 ...

    • 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, ...

    • A Robust and Scalable Stacked Ensemble for Day-Ahead Forecasting of Distribution Network Losses 

      Grotmol, Gunnar Grung; Furdal, Eivind Hovdegård; Dalal, Nisha; Ottesen, Are Løkken; Rørvik, Ella-Lovise Hammervold; Mølnå, Martin; Sizov, Gleb Valerjevich; Gundersen, Odd Erik (Chapter, 2023)
      Accurate day-ahead nominations of grid losses in electrical distribution networks are important to reduce the societal cost of these losses. We present a modification of the CatBoost ensemble-based system for day-ahead ...

    • Segmentation of river ecology using deep learning on aerial images 

      Dalsgård, Arild Sørensen (Master thesis, 2020)
      Et konvolusjonelt nevralt nettverk for bildesegmentering av svart-hvitt luftfoto er presentert. Nettverket kan segmentere bildene i økologiske relevante segmenter for videre analyse av elveøkologi fra 1940- til 2000-tallet. ...

    • Selecting time series forecasting models based on time series characterizations 

      Wannebo, Kenneth Juul (Master thesis, 2023)
      Prediksjon av tidsserier er et viktig verktøy for å forutsi fremtiden, både i vitenskapelig forskning og i hverdagen vår. Nyere forskning og prediksjons-konkurranser har vist at ulike prognosemodeller har varierende ytelse ...

    • Standing on the feet of giants - Reproducibility in AI 

      Gundersen, Odd Erik (Journal article; Peer reviewed, 2019)
      A recent study implies that research presented at top artificial intelligence conferences is not documented well enough for the research to be reproduced. My objective was to investigate whether the quality of the documentation ...

    • The 25th International Conference on Case-Based Reasoning 

      Aha, David; Bach, Kerstin; Gundersen, Odd Erik; Lieber, Jean (Journal article; Peer reviewed, 2018)

    • The Value of Considering Uncertainty in Short-Term Hydropower Scheduling – Combining Machine Learning and Stochastic Programming 

      Fleten, Kristine Klock; Bjørdal, Marie Frøysa (Master thesis, 2020)

    • Toplogy Estimation in Powergrids 

      Risvaag, Andreas; Rasmussen, Kim Erling (Master thesis, 2021)
      Abstract will be available on 2024-02-09

    • Topology Estimation in Powergrids 

      Risvaag, Andreas; Rasmussen, Kim Erling (Master thesis, 2021)
      Abstract will be available on 2024-02-09

    • Towards an automatic characterization of riverscape development by deep learning 

      Alfredsen, Knut; Dalsgård, Arild; Shamsaliei, Saeid; Halleraker, Jo Halvard; Gundersen, Odd Erik (Peer reviewed; Journal article, 2021)
      Riverscapes are under pressure from anthropogenic development, and this challengesthe conservation of biodiversity, hydromorphology and land types. To assess changesand restoration potential, an understanding of alteration ...