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S. Hicks, A. Petlund, T. de Lange, P. T. Schmidt, P. Halvorsen, M. Riegler, P. H. Smedsrud, T. B. Haugen, K. R. Randel, K. Pogorelov et al. ACM Multimedia BioMedia 2019 Grand Challenge Overview In The ACM International Conference on Multimedia (ACM MM), Edited by M. Larson, G. Gravier, H. Hung, C. Ngo and W. T. Ooi. New York, New York, USA: ACM Press, 2019.PDF icon p2563-hicks.pdf (12.9 MB)
M. E. Rognes and T. Thompson. Advances in conformal finite element methods for generalized poroelasticity: A-posteriori error estimates for the two-field generalized poroelasticity equations and an elliptic-parabolic framework In Interpore 2019, Valencia, Spain., 2019.
M. Jørgensen. Agile software development and benefits management: A perfect match? In Seminar on effective software development, Kathmandu, Nepal., 2019.PDF icon a_perfect_match_-_benefits_management_and_agile.pdf (2.94 MB)
J. E. Hannay, H. C. Benestad and K. Strand. "Agile Uncertainty Assessment for Benefit Points and Story Points." IEEE Software 36, no. 4 (2019): 50-62.PDF icon uncertaintyforbenefitpoints.pdf (677.89 KB)
A. Gotlieb. AI4EU: Building The European AI-on-demand Platform In Paris Open Source Summit (POSS'19), Dec. 10-11, 2019, Dock Pullmann, Paris, France., 2019.
A. Gotlieb. AI4EU: The European AI-On-Demand Platform In Seminar AI in Retail, Paris, France., 2019.
S. Sen. AI4IoT at AI Night, Palais de Tokyo, Paris In Palais de Tokyo, Paris, France., 2019.PDF icon ai_night_sagar.pdf (18.03 MB)
S. W. Funke, J. S. Dokken and S. Mitusch. Algorithmic differentation for shape derivatives with PDE constraints In Berlin, Germany., 2019.
S. Mitusch and S. W. Funke. Algorithmic differentiation for coupled FEniCS and PyTorch models. ICCOPT, Berlin, Germany, 2019.PDF icon poster.pdf (946 KB)
J. Dokken. Algorithmic Differentiation for Shape Optimization Problems in the High Level Finite Element Framework FEniCS In SIAM Conference on Computational Science and Engineering (CSE19), Spokane, Washington, USA, Edited by S. Funke, S. Mitusch and S. Schmidt., 2019.
V. Vinje. Andadrátturin kann fyribyrgja heilasjúkum In KVF. Faroe Islands: KVF, 2019.
M. Monperrus, B. O'Reilly, L. Moonen and G. Grosch. Antifragility and Chaos Engineering In HiQ, Stockholm, Sweden, Edited by R. Williams., 2019.
J. Langguth. Approximate weight perfect matchings for pivoting in parallel sparse linear solvers In International Congress on Industrial and Applied Mathematics (ICIAM), Valencia, Spain., 2019.
A. Souche and K. Valen-Sendstad. Are High-Frequency Aneurysm Wall Vibrations of Importance? In 6th International Conference on Computational and Mathematical Biomedical Engineering – CMBE2019, Sendai, Japan ., 2019.
V. Timmermann, A. G. Edwards, S. Wall, J. Sundnes and A. D. McCulloch. "Arrhythmogenic current generation by myofilament-triggered Ca2+ release and sarcomere heterogeneity." Biophysical Journal 117, no. 12 (2019): 2471-2485.
M. Riegler, J. Andersen, M. Andersen, H. L. Hammer, S. Hicks, A. Hicks, W. Oliwia and T. Haugen. "Artificial intelligence as a tool in predicting sperm motility and morphology: P-116." Human Reproduction 34 (2019).
Y. Dai, D. Xu, S. Maharjan and Y. Zhang. "Artificial Intelligence Empowered Edge Computing and Caching for Internet of Vehicles." IEEE Wireless Communications Magazine 26, no. 3 (2019): 12-18.
F. Xiao, Z. Guo, Y. Ni, X. Xie, S. Maharjan and Y. Zhang. "Artificial Intelligence Empowered Mobile Sensing for Human Flow Detection." IEEE Network Magazine 33, no. 1 (2019): 78-83.PDF icon 08558497.pdf (2.05 MB)
S. Sen. Artificial Intelligence for Sensor Data for Norwegian Institute of Sports Science In Fornebu, Norway., 2019.PDF icon nihmeeting.pdf (8.33 MB)
W. Tong, A. Hussain, W. X. Bo and S. Maharjan. "Artificial Intelligence for Vehicle-to-Everything: A Survey." IEEE Access 7 (2019): 10823-10843.
S. Maharjan. Artificial Intelligence for Vehicular Networks In AIM North Symposium 2019, Oslo Metropolitan University, Norway., 2019.
O. Witczak, J. Andersen, S. Hicks, H. L. Hammer, M. Riegler and T. Haugen. "Artificial intelligence predicts sperm motility from sperm fatty acids: P-120." Human Reproduction 34 (2019).
J. Rabault, M. Kuchta, A. Jensen, U. Réglade and N. Cerardi. "Artificial neural networks trained through deep reinforcement learning discover control strategies for active flow control." Journal of Fluid Mechanics 865 (2019): 281-302.
M. Kuchta. Assembly of multiscale linear PDE operators In Enumath., 2019.
N. Tatara, H. L. Hammer, J. Mirkovic, M. K. R. Kjøllesdal and H. K. Andreassen. "Associations Between Immigration-Related User Factors and eHealth Activities for Self-Care: Case of First-Generation Immigrants From Pakistan in the Oslo Area, Norway." JMIR public health and surveillance 5 (2019): e11998.PDF icon associations_between_immigration-related_user_factors_and_ehealth_activities_for_self-care.pdf (143.1 KB)