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H. Spieker. Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search. AAAI-19, 2019.PDF icon aaai19-student_rlcbls.pdf (116.48 KB)
P. Filkukova, S. Sloman and P. Ayton. Truth is in the eye of the beholder: Factors impacting fake news recognition In 27th biennial conference on Subjective Probability, Utility, and Decision Making, Amsterdam, The Netherlands., 2019.
F. Zahid, G. Horn, K. Kritikos and M. Różańska. Tutorial: Good Bye Vendor Lock-in: Getting your Cloud Applications Multi-Cloud Ready!. The 19th IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGrid): ACM IEEE, 2019.
R. Rodríguez-Cantano, J. Sundnes and M. E. Rognes. "Uncertainty in cardiac myofiber orientation and stiffnesses dominate the variability of left ventricle deformation response." International Journal for Numerical Methods in Biomedical Engineering (2019).
S. Ali. Uncertainty in Requirements In Nanjing University of Aeronautics and Astronautics., 2019.
M. Zhang, S. Ali and T. Yue. "Uncertainty-wise Test Case Generation and Minimization for CyberPhysical Systems." Journal of Systems and Software (2019).PDF icon uncertest_jss_full.pdf (2.78 MB)
E. A. Ataman, C. Schenker, Y. Levin-Schwartz, V. D. Calhoun and T. Adali. "Unraveling Diagnostic Biomarkers of Schizophrenia Through Structure-Revealing Fusion of Multi-Modal Neuroimaging Data." Frontiers in Neuroscience (2019).
M. Kirkerød, R. Borgli, V. Thambawita, S. Hicks, M. Riegler and P. Halvorsen. Unsupervised Preprocessing to Improve Generalisation for Medical Image Classification In ISMICT 2019., 2019.
G. Caso, L. De Nardis, F. Lemic, V. Handziski, A. Wolisz and M. Di Benedetto. "ViFi: Virtual Fingerprinting WiFi-based Indoor Positioning via Multi-Wall Multi-Floor Propagation Model." IEEE Transactions on Mobile Computing (2019): 1.
T. B. Haugen, S. Hicks, J. M. Andersen, O. Witczak, H. L. Hammer, R. Borgli, P. Halvorsen and M. Riegler. VISEM: A Multimodal Video Dataset of Human Spermatozoa In MMSys 2019., 2019.PDF icon mmsys_dataset_sperm.pdf (4.31 MB)
M. Rajiullah, A. Lutu, a. s. Khatouni, M. Fida, m. mellia, A. Brunström, Ö. Alay, S. Alfredsson and V. Mancuso. Web Experience in Operational Mobile Networks: Lessons from Two Million Page Visits In ACM Web Performance (www)., 2019.
M. Steiner, M. Lux and P. Halvorsen. The 2018 Medico Multimedia Task Submission of Team NOAT using Neural Network Features and Search-based Classification In Proceeding of the MediaEval Benchmarking Initiative for Multimedia Evaluation. CEUR Workshop Proceedings, 2018.PDF icon team_noat_medico_task.pdf (451.59 KB)
S. Behdadfar, L. Navarro, J. Sundnes, M. Maleckar, H. H. Odland and S. Avril. "Abnormal Tissue Zone Detection and Average Active Stress Estimation in Patients with LV Dysfunction." In Medical and Biological Image Analysis, edited by R. Koprowski. IntechOpen, 2018.
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.