Export 6723 results:
M. Grasmair, T. Klock and V. Naumova. "Adaptive multi-penalty regularization based on a generalized Lasso path." Applied and Computational Harmonic Analysis (2018).PDF icon arxiv_paper.pdf (1.86 MB)
S. Wall, H. Finsberg, G. Balaban, J. Sundnes and L. C. Lee. Adjoint Based Data Assimilation for Quantification of Dynamic Mechanical Behavior of the Heart In World Congress of Biomechanics, New York, USA., 2018.
S. Wall, H. Finsberg, G. Balaban and L. C. Lee. Adjoint based data assimilation for quantifying mechanical properties in clinical cardiac mechanics In Computer Methods in Biomechanics and Bioengineering, Lisbon, Portugal., 2018.
H. Finsberg, C. Xi, Z. Xiaodan, J. Le Tan, M. Genet, J. Sundnes, L. C. Lee, L. Zhong and S. Wall. Adjoint Based Personalization of Mechanical Models for Quantification of Right Ventricular Failure in Pulmonary Hypertension. Heart by Numbers Conference, Berlin, Germany, 2018.
O. K. Solberg, P. Filkukova, J. C. Frich and K. J. B. Feragen. "Age at death and causes of death in patients with Huntington disease in Norway in 1986-2015." Journal of Huntington's Disease 7, no. 1 (2018): 77-86.PDF icon age_at_death_and_causes_of_death_in_patients_with_hd.pdf (238.41 KB)
T. G. Rolfsnes, L. Moonen, S. Di Alesio, R. Behjati and D. Binkley. "Aggregating Association Rules to Improve Change Recommendation." Journal of Empirical Software Engineering (EMSE) 23, no. 2 (2018): 987-1035.PDF icon aggregating_association_rules_to_improve_change_recommendation.pdf (3.6 MB)
M. Jørgensen. Agile software development and benefits management: A perfect match In PMI/Prosjekt Norge Workshop, Oslo, Norway., 2018.PDF icon a_perfect_match_-_benefits_management_and_agile.pdf (15.67 MB)
J. E. Hannay, H. C. Benestad and K. Strand. "Agile Uncertainty Assessment – for Benefit Points and Story Points." IEEE Software (to appear) (2018).PDF icon uncertaintyforbenefitpoints.pdf (677.89 KB)
A. Gotlieb. AI-Powered Testing of Industrial Robots In ALTEN TalentCamp, Paris, France., 2018.
S. W. Funke and S. Mitusch. Algorithmic differentiation for mixed FEniCS-Tensorflow models In Oxford, UK., 2018.PDF icon presentation.pdf (2.76 MB)
J. S. Dokken. Algorithmic differentiation for shape optimization problems in the High Level Finite Element Framework FEniCS In University of Würzburg, Germany., 2018.PDF icon dokkenwurzburg.pdf (296.48 KB)
J. S. Dokken. Algorithmic Differentiation for Shape Optimization problems with overlapping meshes In Siam Annual Meeting, Portland, USA, Edited by S. W. Funke and A. Johansson., 2018.
M. Jørgensen. Alltid smidig når du går? In Smidig-konferansen: Smidig i offentlig sektor, Oslo, Norway., 2018.PDF icon smidig-offentlig-may2018-v1.pdf (27.32 MB)
M. Jørgensen. Alltid smidig når du går! Men hva med oppstartsfasen og forretningssiden? In Computerworld (Norge). IDG, 2018.File kronikk-eierstyring-november2018.docx (59.46 KB)
Z. Kereta and P. Grohs. "Analysis of edge and corner points using parabolic dictionaries." Applied and Computational Harmonic Analysis (2018).
S. D. Agdestein, K. Valen-Sendstad and A. K. Diem. "Artery.FE: An implementation of the 1D blood flow equations in FEniCS." Journal of Open Source Software 3, no. 32 (2018).PDF icon 10.21105.joss_.01107.pdf (136.38 KB)
S. Maharjan. Artificial Intelligence and Next Generation Networks In First Nepal AI Winter School, Kathmandu, Nepal., 2018.
A. Gotlieb. Artificial Intelligence in Software Testing: An Overview. Application to Industrial Robotics In French Days on Software Testing (JFTL'18), Paris, France., 2018.
K. Zhang, S. Leng, X. Peng, L. Pan, S. Maharjan and Y. Zhang. "Artificial Intelligence Inspired Transmission Scheduling in Cognitive Vehicular Communications and Networks." IEEE Internet of Things Journal (2018).PDF icon 08471165.pdf (724.9 KB)
H. Lin, S. Kumar, E. Rosnes and A. G. i. Amat. Asymmetry Helps: Improved Private Information Retrieval Protocols for Distributed Storage In IEEE Information Theory Workshop (ITW). Guangzhou, China: IEEE, 2018.
E. Rosnes and A. G. i. Amat. "Asymptotic analysis and spatial coupling of counter braids." IEEE Transactions on Information Theory 64, no. 11 (2018): 7242-7263.
M. Fornasier, J. Maly and V. Naumova. "A-T-LAS2,1: A Multi-Penalty Approach to Compressed Sensing of Low-Rank Matrices with Sparse Decompositions." IEEE Transactions on Information Theory (2018).PDF icon 1801.06240-2.pdf (1.53 MB)
S. W. Funke. Automated adjoints for finite element models In EUCCO 2018, Trier, Germany., 2018.
T. Yue. Automated Refactoring of OCL Constraints with Search In ICSE 2018, Gothenburg, Sweden., 2018.
D. Pradhan, S. Wang, T. Yue, S. Ali and M. Liaaen. Automated Test Case Implantation to Test Untested Configurations: A Cost-Effective Search-Based Approach. Simula Research Laboratory, 2018.PDF icon automated_test_case_implantation_to_test_untested_configurations-_a_cost-effective_search-based_approach_tr.pdf (2.12 MB)