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2018
A. Tveito, K. H. Jæger, N. Huebsch, B. Charrez, A. G. Edwards, S. Wall and K. E. Healy. "Inversion and computational maturation of drug response using human stem cell derived cardiomyocytes in microphysiological systems." Nature Scientific Reports 8 (2018).
K. Teigen, P. Filkukova and S. M. Hohle. "It can become 5 °C warmer: The extremity effect in climate forecasts." Journal of Experimental Psychology: Applied 24, no. 1 (2018): 3-17.
Y. Dai, D. Xu, S. Maharjan and Y. Zhang. "Joint Computation Offloading and User Association in Multi-task Mobile Edge Computing." IEEE Transactions on Vehicular Technology 67, no. 12 (2018): 12313-12325.PDF icon 08496832.pdf (1.08 MB)
Y. Dai, D. Xu, S. Maharjan and Y. Zhang. "Joint Load Balancing and Offloading in Vehicular Edge Computing and Networks." IEEE Internet of Things Journal (2018).PDF icon 08493149.pdf (1.4 MB)
Y. Dai, D. Xu, S. Maharjan and Y. Zhang. Joint Offloading and Resource Allocation in Vehicular Edge Computing and Networks In IEEE Globecom 2018. IEEE, 2018.PDF icon 1570455760.pdf (471.29 KB)
V. T. Fauske. JupyterLab: the evolution of the Jupyter notebook In University of Antwerp, Belgium., 2018.
V. T. Fauske. JupyterLab: the evolution of the Jupyter notebook In PyHEP conference, Sofia, Bulgaria., 2018.PDF icon pyhep2018_tonaasfauske.pdf (1.02 MB)
A. Solbrå, A. Bergersen, J. van den Brink, A. Malthe-Sørenssen, G. T. Einevoll and G. Halnes. "A Kirchhoff-Nernst-Planck framework for modeling large scale extracellular electrodiffusion surrounding morphologically detailed neurons." PLOS Computational Biology 14 (2018).
O. Lysne. Lawful interception of Internet Traffic, and national autonomy in cyberspace In Norges Forsvarsforening - åpent seminar, Norway., 2018.
O. Lysne. Lawful interception of Internet Traffic, and National Autonomy in Cyberspace In Sikkerhetskonferansen, Norway., 2018.
O. Lysne. Lawful interception of Internet Traffic, and national autonomy in cyberspace In Luftmaktseminaret, Trondheim, Norway., 2018.
E. De Vito, Z. Kereta and V. Naumova. "A Learning Theory Approach to a Computationally Efficient Parameter Selection for the Elastic Net." arXiv (2018).PDF icon 1809.08696.pdf (1.75 MB)
H. Lin and E. Rosnes. Lengthening and extending binary private information retrieval codes In International Zurich Seminar on Information and Communication. Zürich: ETH, 2018.
S. Kumar, H. Lin, E. Rosnes and A. G. i. Amat. Local Reconstruction Codes: A Class of MDS-PIR Capacity-Achieving Codes In IEEE Information Theory Workshop (ITW). Guangzhou, China: IEEE, 2018.
M. Jørgensen. Looking back on previous estimation error as a method to improve the uncertainty assessment of benefits and costs of software development projects In The 9th International Workshop on Empirical Software Engineering in Practice (IWESEP2018). IEEE, 2018.PDF icon iwesep-nara-2018_jorgensen.pdf (504.18 KB)
V. Naumova and Z. Kereta. A machine learning approach for adaptive parameter selection In University of Oslo, Norway., 2018.
V. Naumova and Z. Kereta. A machine learning approach to optimal regularization In European Women in Mathematics, Graz, Austria., 2018.
V. Naumova and Z. Kereta. A machine learning approach to optimal regularization: Affine Manifolds In NTNU, Norway., 2018.PDF icon ntnu.pdf (2.91 MB)
E. K. Lindstrøm, G. Ringstad, A. Sorteberg, W. Sorteberg, K. Mardal and P. K. Eide. "Magnitude and direction of aqueductal cerebrospinal fluid flow: large variations in patients with intracranial aneurysms with or without a previous subarachnoid hemorrhage." Acta Neurochirurgica 161, no. 2 (2018): 247-256.
K. J. McCabe, Y. Aboelkassem, S. Dewan, M. Regnier and A. D. McCulloch. A Markov State Model of the Sarcomere to Explain the Effects of dATP on Cardiac Contraction. Biophysical Society 62nd Annual Meeting, San Francisco CA, 2018.
K. Mardal. Mathematical modeling of the glymphatic system – the physics of Alzheimer’s disease? In INdAM, Rome, Italy., 2018.
K. Mardal. Mathematical modeling of the glymphatic system – the physics of Alzheimer’s disease ? In Mathematical models in health sciences, Nantes, France., 2018.
H. Lin, S. Kumar, E. Rosnes and A. G. i. Amat. An MDS-PIR Capacity-Achieving Protocol for Distributed Storage Using Non-MDS Linear Codes In IEEE International Symposium on Information Theory (ISIT). Vail, CO, USA: IEEE, 2018.
A. M. Mandalari, A. Lutu, B. Briscoe, M. Bagnulo and Ö. Alay. "Measuring ECN++: Good News for ++, Bad News for ECN over Mobile." IEEE Communications Magazine 56, no. 3 (2018): 180-186.
K. Pogorelov, M. Riegler, P. Halvorsen, S. Hicks, K. R. Randel, D. Dang-Nguyen, M. Lux, O. Ostroukhova and T. de Lange. Medico Multimedia Task at MediaEval 2018 In Working Notes Proceedings of the MediaEval 2018 Workshop. CEUR Workshop Proceedings, 2018.PDF icon mediaeval_18_paper_63.pdf (348.1 KB)

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