Browsing ODA Open Digital Archive by Author "Hammer, Hugo Lewi"
Now showing items 81-85 of 85
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Two-timescale learning automata for solving stochastic nonlinear resource allocation problems
Yazidi, Anis; Hammer, Hugo Lewi; Jonassen, Tore Møller (Lecture Notes in Computer Science;LNCS, volume 10350, Journal article; Peer reviewed, 2017)This papers deals with the the Stochastic Non-linear Fractional Equality Knapsack (NFEK) problem which is a fundamental resource allocation problem based on incomplete and noisy information [2,3]. The NFEK problem arises ... -
Unraveling the Impact of Land Cover Changes on Climate Using Machine Learning and Explainable Artificial Intelligence
Kolevatova, Anastasiia; Riegler, Michael; Cherubini, Francesco; Hu, Xiangping; Hammer, Hugo Lewi (Big Data and Cognitive Computing;Volume 5, Issue 4, Peer reviewed; Journal article, 2021-10-15)A general issue in climate science is the handling of big data and running complex and computationally heavy simulations. In this paper, we explore the potential of using machine learning (ML) to spare computational time ... -
Utilization of primary health care services based on countrywide register database in Norway, 10 years after the introduction of the Patient List System
Goth, Ursula-Georgine Småland; Hammer, Hugo Lewi; Claussen, Bjørgulf (Journal of Environmental Research and Public Health;11(3), Journal article; Peer reviewed, 2014-03-21)Utilization of services is an important indicator for estimating access to healthcare. In Norway, the General Practitioner Scheme, a patient list system, was established in 2001 to enable a stable doctor-patient relationship. ... -
VISEM: A Multimodal Video Dataset of Human Spermatozoa
Haugen, Trine B.; Hicks, Steven; Andersen, Jorunn Marie; Witczak, Oliwia; Hammer, Hugo Lewi; Borgli, Rune Johan; Halvorsen, Pål; Riegler, Michael (ACM MMSys conference series;, Chapter; Peer reviewed, 2019)Real multimedia datasets that contain more than just images or text are rare. Even more so are open multimedia datasets in medicine. Often, clinically related datasets only consist of image or videos. In this paper, we ... -
XMask Clustering: Leveraging eXplainable AI and Clustering for Medical Knowledge Discovery
Thunold, Håvard Horgen (Master thesis, 2023)Deep Learning, a subset of machine learning, has shown great ability in supervised medical image classification tasks. Although there are significant advantages, DL models have low interpretability and are considered ...