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Department of Information Technology

Publications 2019

  1. Optimal stateless model checking for reads-from equivalence under sequential consistency. Parosh Abdulla, Mohamed Faouzi Atig, Bengt Jonsson, Magnus Lång, Tuan-Phong Ngo, and Konstantinos Sagonas. In Proceedings of the ACM on Programming Languages, Association for Computing Machinery (ACM), 2019. (DOI, Fulltext, External link, fulltext:print).
  2. Chain-Free String Constraints. Parosh Aziz Abdulla, Mohamed Faouzi Atig, Bui Phi Diep, Lukas Holik, and Petr Janku. In Automated Technology for Verification and Analysis, volume 11781 of Lecture Notes in Computer Science, pp 277-293, Springer, 2019. (DOI).
  3. Dynamic Partial Order Reduction Under the Release-Acquire Semantics (Tutorial). Parosh Aziz Abdulla, Mohamed Faouzi Atig, Bengt Jonsson, and Tuan-Phong Ngo. In Networked Systems: 7th International Conference, NETYS 2019, Marrakech, Morocco, June 19–21, 2019, Revised Selected Papers, volume 11704 of Lecture Notes in Computer Science, pp 3-18, Springer Nature, 2019. (DOI).
  4. Reachability in database-driven systems with numerical attributes under recency bounding. Parosh Aziz Abdulla, Aiswarya Cyriac, Mohamed Faouzi Atig, and Marco Montali. In PODS '19: Proceedings of the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, pp 335-352, ACM Press, 2019. (DOI).
  5. Special Issue on NETYS'2016. Parosh Aziz Abdulla and Carole Delporte. In Computing, volume 101, number 1, pp 1-2, Springer Nature, 2019. (DOI).
  6. Verification of programs under the release-acquire semantics. Parosh Aziz Abdulla, Jatin Arora, Mohamed Faouzi Atig, and Shankaranarayanan Krishna. In Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation, pp 1117-1132, Association for Computing Machinery (ACM), 2019. (DOI).
  7. Worst-Case Cause-Effect Reaction Latency in Systems with Non-Blocking Communication. Jakaria Abdullah, Gaoyang Dai, and Yi Wang. In Design, Automation & Test in Europe Conference & Exhibition: DATE 2019, pp 1625-1630, IEEE, 2019. (DOI).
  8. Conventional analysis of movement on non-flat surfaces like the plasma membrane makes Brownian motion appear anomalous. Jeremy Adler, Ida-Maria Sintorn, Robin Strand, and Ingela Parmryd. In Communications Biology, volume 2, 2019. (DOI, Fulltext).
  9. BS-assisted Task Offloading for D2D Networks with Presence of User Mobility. Ghafour Ahani and Di Yuan. In 2019 IEEE 89TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2019-SPRING), IEEE Vehicular Technology Conference Proceedings, IEEE, 2019. (DOI).
  10. Sampled-data adaptive observer for state-affine systems with uncertain output equation. Tarek Ahmed-Ali, Koen Tiels, Maarten Schoukens, and Fouad Giri. In Automatica, volume 103, pp 96-105, 2019. (DOI).
  11. Particle-based adaptive-lag online marginal smoothing in general state-space models. Johan Alenlöv and Jimmy Olsson. In IEEE Transactions on Signal Processing, volume 67, number 21, pp 5571-5582, 2019. (DOI).
  12. Teachers’ Awards: an Incentive for Pedagogical Development in Saudi Arabia. Fayiq Alghamdi, Aletta Nylén, and Arnold Pears. In 2019 IEEE Frontiers in Education Conference (FIE), Frontiers in Education Conference, 2019. (DOI).
  13. Molecular Drivers of Crystallization Kinetics for Drugs in Supersaturated Aqueous Solutions. Amjad Alhalaweh, Ahmad Alzghoul, and Christel A. S. Bergström. In Journal of Pharmaceutical Sciences, volume 108, number 1, pp 252-259, ELSEVIER SCIENCE INC, 2019. (DOI, fulltext:print).
  14. FIFOrder MicroArchitecture: Ready-Aware Instruction Scheduling for OoO Processors. Mehdi Alipour, Rakesh Kumar, Stefanos Kaxiras, and David Black-Schaffer. In 2019 Design, Automation & Test in Europe Conference & Exhibition (DATE), Design Automation and Test in Europe Conference and Exhibition, pp 716-721, IEEE, 2019. (DOI, fulltext:postprint).
  15. Maximizing limited resources: A limit-based study and taxonomy of out-of-order commit. Mehdi Alipour, Trevor E. Carlson, David Black-Schaffer, and Stefanos Kaxiras. In Journal of Signal Processing Systems, volume 91, number 3-4, pp 379-397, 2019. (DOI, Fulltext, fulltext:print).
  16. Order-preserving interpolation for summation-by-parts operators at nonconforming grid interfaces. Martin Almquist, Siyang Wang, and Jonatan Werpers. In SIAM Journal on Scientific Computing, volume 41, pp A1201-A1227, 2019. (DOI).
  17. Filter caching for free: The untapped potential of the store-buffer. Ricardo Alves, Alberto Ros, David Black-Schaffer, and Stefanos Kaxiras. In Proc. 46th International Symposium on Computer Architecture, pp 436-448, ACM Press, New York, 2019. (DOI, Fulltext, fulltext:print).
  18. Leveraging Existing Microarchitectural Structures to Improve First-Level Caching Efficiency. Ricardo Alves. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 1821, Acta Universitatis Upsaliensis, Uppsala, 2019. (fulltext, preview image).
  19. Minimizing Replay under Way-Prediction. Ricardo Alves, Stefanos Kaxiras, and David Black-Schaffer. Technical report / Department of Information Technology, Uppsala University nr 2019-003, 2019. (fulltext).
  20. Empathic robot for group learning: A field study. Patricia Alves-Oliveira, Pedro Sequeira, Francisco S. Melo, Ginevra Castellano, and Ana Paiva. In ACM Transactions on Human-Robot Interaction, volume 8, number 1, 2019. (DOI).
  21. Deep convolutional networks in system identification. Carl Andersson, Antônio Horta Ribeiro, Koen Tiels, Niklas Wahlström, and Thomas B. Schön. In Proc. 58th IEEE Conference on Decision and Control, pp 3670-3676, IEEE, 2019. (DOI).
  22. Deep learning applied to system identification: A probabilistic approach. Carl Andersson. Licentiate thesis, IT licentiate theses / Uppsala University, Department of Information Technology nr 2019-007, Uppsala University, 2019. (fulltext).
  23. Past and future challenges for railway research and the role of a systems perspective. Rebecca Andreasson, Anders A Jansson, and Jessica Lindblom. In Proc. 20th Congress of the International Ergonomics Association: Volume VII, volume 824 of Advances in Intelligent Systems and Computing, pp 1737-1746, Springer, 2019. (DOI).
  24. The coordination between train traffic controllers and train drivers: a distributed cognition perspective on railway. Rebecca Andreasson, Anders Jansson, and Jessica Lindblom. In Cognition, Technology & Work, volume 21, number 3, pp 417-443, 2019. (DOI, Fulltext, fulltext:print).
  25. Temporal upscaling in micromagnetism via heterogeneous multiscale methods. Doghonay Arjmand, Stefan Engblom, and Gunilla Kreiss. In Journal of Computational and Applied Mathematics, volume 345, pp 99-113, 2019. (DOI).
  26. Inverse factorization in electronic structure theory: Analysis and parallelization. Anton G. Artemov. Licentiate thesis, IT licentiate theses / Uppsala University, Department of Information Technology nr 2019-002, Uppsala University, 2019. (fulltext, preview image).
  27. Parallelization and scalability analysis of inverse factorization using the chunks and tasks programming model. Anton G. Artemov, Elias Rudberg, and Emanuel H. Rubensson. In Parallel Computing, volume 89, pp 102548:1-12, 2019. (DOI).
  28. Assessment of Blood Vessel Effect on Fat-Intrabody Communication Using Numerical and Ex-Vivo Models at 2.45 GHZ. Noor Badariah Asan, Emadeldeen Hassan, Mauricio David Perez, Syaiful Redzwan Mohd Shah, Jacob Velander, Taco J. Blokhuis, Thiemo Voigt, and Robin Augustine. In IEEE Access, volume 7, pp 89886-89900, 2019. (DOI, Fulltext, fulltext:print).
  29. Developing adaptive traffic signal control by actor-critic and direct exploration methods. Mohammad Aslani, Mohammad Saadi Mesgari, Stefan Seipel, and Marco Wiering. In Proceedings of the Institution of Civil Engineers: Transport, volume 172, number 5, pp 289-298, 2019. (DOI).
  30. CNNs on Graphs: A New Pooling Approach and Similarities to Mathematical Morphology. Teo Asplund, Karl Bengtsson Bernander, and Eva Breznik. In , 2019.
  31. Mathematical Morphology on Irregularly Sampled Data Applied to Segmentation of 3D Point Clouds of Urban Scenes. Teo Asplund, Andrés Serna, Beatriz Marcotegui, Robin Strand, and Cris L. Luengo Hendriks. In International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing, Lecture Notes In Computer Science, Springer Nature, 2019. (DOI, External link).
  32. Precise Image-Based Measurements through Irregular SamplingNoggranna bildbaserade mätningar via irreguljär sampling. Teo Asplund. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 1869, Acta Universitatis Upsaliensis, Uppsala, 2019. (fulltext, preview image).
  33. Efficient computational methods for applications in genomics. Kristiina Ausmees. Licentiate thesis, IT licentiate theses / Uppsala University, Department of Information Technology nr 2019-006, Uppsala University, 2019. (fulltext).
  34. Evaluation of methods handling missing data in PCA on genotype data: Applications for ancient DNA. Kristiina Ausmees. Technical report / Department of Information Technology, Uppsala University nr 2019-009, 2019. (fulltext).
  35. Glandular Segmentation of Prostate Cancer: An Illustration of How the Choice of Histopathological Stain Is One Key to Success for Computational Pathology. Christophe Avenel, Anna Tolf, Anca Dragomir, and Ingrid Carlbom. In Frontiers in Bioengineering and Biotechnology, volume 7, 2019. (DOI, Fulltext, fulltext:print).
  36. Knowledge elicitation as abstraction of purposive behaviour. Anton Axelsson. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 1765, Acta Universitatis Upsaliensis, Uppsala, 2019. (fulltext, preview image).
  37. A note on preconditioning methods for time-periodic eddy current optimal control problems. Owe Axelsson and Zhao-Zheng Liang. In Journal of Computational and Applied Mathematics, volume 352, pp 262-277, 2019. (DOI).
  38. Parameter modified versions of preconditioning and iterative inner product free refinement methods for two-by-two block matrices. Owe Axelsson and Zhao-Zheng Liang. In Linear Algebra and its Applications, volume 582, pp 403-429, 2019. (DOI).
  39. Preconditioned iterative solution methods for linear systems arising in PDE-constrained optimization. Owe Axelsson, Maya Neytcheva, and János Karátson. In Robust and Constrained Optimization: Methods and Applications, Mathematics Research Developments, pp 85-148, Nova Science Publishers, Inc., Hauppauge, New York, 2019.
  40. CalligraphyNet: Augmenting handwriting generation with quill based stroke width. Kalyan Ram Ayyalasomayajula, Tomas Wilkinson, Filip Malmberg, and Anders Brun. 26th IEEE International Conference on Image Processing (Currently under review), 2019.
  41. Learning based segmentation and generation methods for handwritten document images. Kalyan Ram Ayyalasomayajula. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 1783, Acta Universitatis Upsaliensis, Uppsala, 2019. (fulltext, preview image).
  42. PDNet: Semantic segmentation integrated with a primal-dual network for document binarization. Kalyan Ram Ayyalasomayajula, Filip Malmberg, and Anders Brun. In Pattern Recognition Letters, volume 121, pp 52-60, 2019. (DOI, fulltext:postprint).
  43. Quantifiers and Theories: A Lazy Approach. Peter Backeman. Ph.D. thesis, Uppsala Dissertations from the Faculty of Science and Technology nr 139, Acta Universitatis Upsaliensis, Uppsala, 2019. (fulltext, preview image).
  44. Sparsity promoting super-resolution coverage segmentation by linear unmixing in presence of blur and noise. Buda Bajic, Joakim Lindblad, and Natasa Sladoje. In Journal of Electronic Imaging (JEI), volume 28, number 1, IS&T & SPIE, 2019. (DOI).
  45. Block generalized locally Toeplitz sequences: Theory and applications. Giovanni Barbarino, Carlo Garoni, and Stefano Serra-Capizzano. Technical report / Department of Information Technology, Uppsala University nr 2019-002, 2019. (fulltext).
  46. Block generalized locally Toeplitz sequences: Theory and applications in the unidimensional case. Giovanni Barbarino, Carlo Garoni, and Stefano Serra-Capizzano. Technical report / Department of Information Technology, Uppsala University nr 2019-004, 2019. (fulltext).
  47. Block generalized locally Toeplitz sequences: Theory and applications in the multidimensional case. Giovanni Barbarino, Carlo Garoni, and Stefano Serra-Capizzano. Technical report / Department of Information Technology, Uppsala University nr 2019-005, 2019. (fulltext).
  48. TOOLympics 2019: An overview of competitions in formal methods. Ezio Bartocci, Dirk Beyer, Paul E. Black, Grigory Fedyukovich, Hubert Garavel, Arnd Hartmanns, Marieke Huisman, Fabrice Kordon, Julian Nagele, Mihaela Sighireanu, Bernhard Steffen, Martin Suda, Geoff Sutcliffe, Tjark Weber, and Akihisa Yamada. In Tools and Algorithms for the Construction and Analysis of Systems: 25 years of TACAS, Part III, volume 11429 of Lecture Notes in Computer Science, pp 3-24, Springer, 2019. (DOI, Fulltext, fulltext:print).
  49. Mathematical modeling reveals that the administration of EGF can promote the elimination of lymph node metastases by PD-1/PD-L1 blockade. Mohamed Amine Benchaib, Anass Bouchnita, Vitaly Volpert, and Abdelkader Makhoute. In Frontiers in Bioengineering and Biotechnology, volume 7, 2019. (DOI, Fulltext).
  50. Fast parallel solver for the space–time IgA–DG discretization of the anisotropic diffusion equation. Pietro Benedusi, Paola Ferrari, Carlo Garoni, Rolf Krause, and Stefano Serra-Capizzano. Technical report / Department of Information Technology, Uppsala University nr 2019-011, 2019. (fulltext).
  51. Image analysis in digital pathology: Combining automated assessment of Ki67 staining quality with calculation of Ki67 cell proliferation index. Ewert Bengtsson and Petter Ranefall. In Cytometry Part A, volume 95, number 7, pp 714-716, 2019. (DOI).
  52. Special Section on Image Cytometry. Ewert Bengtsson and Attila Tárnok. In Cytometry Part A, volume 95A, number 4, pp 363-365, 2019. (DOI, Fulltext).
  53. Levels of Hate in Online Environments. Tor Berglind, Björn Pelzer, and Lisa Kaati. In Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019), pp 842-847, Association for Computing Machinery (ACM), 2019. (DOI).
  54. Att undervisa vid Royal University of Bhutan. Anders Berglund. In Druk Yul, number 2, pp 27-29, The Swedish Bhutan Society, Stockholm, Sweden, 2019.
  55. Inspiring Students in Their Learning: A Theoretically Based Discussion Building on Three Courses. Anders Berglund, Mats Daniels, and Arnold Pears. In 2019 IEEE Frontiers in Education Conference (FIE 2019), Frontiers in Education Conference, IEEE, 2019. (DOI).
  56. Optimal controller/observer gains of discounted-cost LQG systems. Hildo Bijl and Thomas B. Schön. In Automatica, volume 101, pp 471-474, Elsevier, 2019. (DOI).
  57. Preconditioned smoothers for the Full Approximation Scheme for the RANS equations. Philipp Birken, Jonathan Bull, and Antony Jameson. In Journal of Scientific Computing, volume 78, pp 995-1022, 2019. (DOI, Fulltext).
  58. Exploring declarative local-search neighbourhoods with constraint programming. Gustav Björdal, Pierre Flener, Justin Pearson, and Peter J. Stuckey. In Principles and Practice of Constraint Programming, volume 11802 of Lecture Notes in Computer Science, pp 37-53, Springer, Switzerland, 2019. (DOI).
  59. Generating compound moves in local search by hybridisation with complete search. Gustav Björdal, Pierre Flener, and Justin Pearson. In Integration of Constraint Programming, Artificial Intelligence, and Operations Research, volume 11494 of Lecture Notes in Computer Science, pp 95-111, Springer, 2019. (DOI).
  60. The importance of language in teaching and learning ethics. Ingrid Björk and Iordanis Kavathatzopoulos. In , 2019. (External link).
  61. Adapting the secretary hiring problem for optimal hot–cold tier placement under top-<em>K</em> workloads. Ben Blamey, Fredrik Wrede, Johan Karlsson, Andreas Hellander, and Salman Toor. In Proc. 19th International Symposium on Cluster, Cloud, and Grid Computing, pp 576-583, IEEE Computer Society, Los Alamitos, CA, 2019. (DOI).
  62. Run, Actor, Run: Towards Cross-Actor Language Benchmarking. Sebastian Blessing, Kiko Fernandez-Reyes, Albert Mingkun Yang, Sophia Drossopoulou, and Tobias Wrigstad. In AGERE 2019 Proceedings of the 9th ACM SIGPLAN International Workshop on Programming Based on Actors, Agents, and Decentralized Control, pp 41-50, Association for Computing Machinery (ACM), 2019. (DOI, fulltext:postprint).
  63. A 3D multiscale model to explore the role of EGFR overexpression in tumourigenesis. Anass Bouchnita, Stefan Hellander, and Andreas Hellander. In Bulletin of Mathematical Biology, volume 81, pp 2323-2344, 2019. (DOI, Fulltext).
  64. A multiscale model of platelet-fibrin thrombus growth in the flow. Anass Bouchnita and Vitaly Volpert. In Computers & Fluids, volume 184, pp 10-20, 2019. (DOI).
  65. Identification of continuous Volterra models with explicit time delay through series of Laguerre functions. Viktor Bro and Alexander Medvedev. In Proc. 58th IEEE Conference on Decision and Control, pp 5641-5646, IEEE, 2019. (DOI).
  66. Volterra modeling of the human smooth pursuit system in health and disease. Viktor Bro. Licentiate thesis, IT licentiate theses / Uppsala University, Department of Information Technology nr 2019-003, Uppsala University, 2019. (fulltext).
  67. Electronic health records are more than a work tool: Conflicting needs of direct and indirect stakeholders. Åsa Cajander and Christiane Grünloh. In Proc. 37th CHI Conference on Human Factors in Computing Systems, ACM Press, New York, 2019. (DOI).
  68. Enabling Scalable Data Analysis on Cloud Resources with Applications in Life Science. Marco Capuccini. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 1846, Acta Universitatis Upsaliensis, Uppsala, 2019. (fulltext, preview image).
  69. On-demand virtual research environments using microservices. Marco Capuccini, Anders Larsson, Matteo Carone, Jon Ander Novella, Noureddin Sadawi, Jianliang Gao, Salman Toor, and Ola Spjuth. In PeerJ Computer Science, volume 5, 2019. (DOI, Fulltext).
  70. Radar detection architecture based on interference covariance structure classification. Vincenzo Carotenuto, Antonio De Maio, Danilo Orlando, and Peter Stoica. In IEEE Transactions on Aerospace and Electronic Systems, volume 55, number 2, pp 607-618, 2019. (DOI).
  71. Developing a Monadic Type Checker for an Object-Oriented Language: An Experience Report. Elias Castegren and Kiko Fernandez-Reyes. In , pp 184-196, Association for Computing Machinery (ACM), 2019. (DOI, External link).
  72. Face Recognition - A One-Shot Learning Perspective. Sukalpa Chanda, Asish Chakrapani, Anders Brun, Anders Hast, Umapada Pal, and David Doermann. In 15th IEEE Conference on Signal Image Technology and Internet based Systems, pp 113-119, 2019.
  73. Finding Logo and Seal in Historical Document Images -: An Object Detection based Approach. Sukalpa Chanda, Prasad P.K, Anders Hast, Anders Brun, Lasse Mårtesson, and Umapada Pal. In The 5th Asian Conference on Pattern Recognition (ACPR 2019), pp 821-834, 2019. (External link).
  74. Resource Optimization for Joint LWA and LTE-U in Load-Coupled and Multi-Cell Networks. Bolin Chen, Lei You, Di Yuan, Nikolaos Pappas, and Jie Zhang. In IEEE Communications Letters, volume 23, number 2, pp 330-333, 2019. (DOI).
  75. Decision procedures for path feasibility of string-manipulating programs with complex operations. Taolue Chen, Matthew Hague, Anthony W. Lin, Philipp Rümmer, and Zhilin Wu. In Proceedings of the ACM on Programming Languages, volume 3, number 49, Association for Computing Machinery (ACM), 2019. (DOI, Fulltext, fulltext:print).
  76. Exploiting blockchain data to detect smart Ponzi schemes on Ethereum. Weili Chen, Zibin Zheng, Edith Ngai, Peilin Zheng, and Yuren Zhou. In IEEE Access, volume 7, pp 37575-37586, 2019. (DOI, Fulltext).
  77. Numerical ice sheet modeling: Forward and inverse problems. Gong Cheng. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 1849, Acta Universitatis Upsaliensis, Uppsala, 2019. (fulltext, preview image).
  78. Parameter sensitivity analysis of dynamic ice sheet models. Gong Cheng and Per Lötstedt. 2019. (arXiv:1906.08197).
  79. Spectral and convergence analysis of the discrete ALIF method. Antonio Cicone, Carlo Garoni, and Stefano Serra-Capizzano. In Linear Algebra and its Applications, volume 580, pp 62-95, 2019. (DOI).
  80. Age of Information-Aware Scheduling for Timely and Scalable Internet of Things Applications. Lorenzo Corneo, Christian Rohner, and Per Gunningberg. In IEEE Conference On Computer Communications (IEEE INFOCOM 2019), IEEE INFOCOM, pp 2476-2484, 2019. (External link).
  81. Calculating Deep Brain Stimulation Amplitudes and Power Consumption by Constrained Optimization. Rubén Cubo, Markus Fahlström, Elena Jiltsova, Helena Andersson, and Alexander Medvedev. In Journal of Neural Engineering, volume 16, number 1, 2019. (DOI).
  82. Getting started with particle Metropolis-Hastings for inference in nonlinear dynamical models. Johan Dahlin and Thomas B. Schön. In Journal of Statistical Software, volume 88, number CN2, pp 1-41, 2019. (DOI, Fulltext, fulltext:print).
  83. Loading factor estimation under affine constraints on the covariance eigenvalues with application to radar target detection. Antonio De Maio, Luca Pallotta, Jian Li, and Peter Stoica. In IEEE Transactions on Aerospace and Electronic Systems, volume 55, number 3, pp 1269-1283, 2019. (DOI).
  84. Decoupling multivariate polynomials for nonlinear state-space models. Jan Decuyper, Philippe Dreesen, Johan Schoukens, Mark C. Runacres, and Koen Tiels. In IEEE Control Systems Letters, volume 3, number 3, pp 745-750, Institute of Electrical and Electronics Engineers (IEEE), 2019. (DOI, External link).
  85. Networked delay control for 5G wireless machine-type communications using multiconnectivity. Ramón A. Delgado, Katrina Lau, Richard H. Middleton, and Torbjörn Wigren. In IEEE Transactions on Control Systems Technology, volume 27, number 4, pp 1510-1525, 2019. (DOI).
  86. Optimizing Retention-Aware Caching in Vehicular Networks. Tao Deng, Pingzhi Fan, and Di Yuan. In IEEE Transactions on Communications, volume 67, number 9, pp 6139-6152, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019. (DOI).
  87. Segmentation of Post-operative Glioblastoma in MRI by U-Net with Patient-specific Interactive Refinement. Ashis Kumar Dhara, Kalyan Ram Ayyalasomayajula, Erik Arvids, Markus Fahlström, Johan Wikström, Elna-Marie Larsson, and Robin Strand. In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, volume 11383 of Lecture Notes in Computer Science (LNCS), pp 115-122, Springer, Cham, 2019. (DOI).
  88. A merged tuning of binary and ternary Loop's subdivision. Marco Donatelli, Paola Novara, Lucia Romani, Stefano Serra-Capizzano, and Debora Sesana. In Computer Aided Geometric Design, volume 69, pp 27-44, 2019. (DOI).
  89. Scope-aware data cache analysis for OpenMP programs on multi-core processors. He Du, Wei Zhang, Nan Guan, and Yi Wang. In Journal of systems architecture, volume 98, pp 443-452, ELSEVIER, 2019. (DOI).
  90. On energy stable discontinuous Galerkin spectral element approximations of the perfectly matched layer for the wave equation. Kenneth Duru, Alice-Agnes Gabriel, and Gunilla Kreiss. In Computer Methods in Applied Mechanics and Engineering, volume 350, pp 898-937, 2019. (DOI, Fulltext).
  91. Accurate optimization models for interference constrained bandwith allocation in cellular networks. Grit Ecker, Di Yuan, Arie M. C. A. Koster, and Anke Schmeink. In Computers & Operations Research, volume 101, pp 1-12, 2019. (DOI).
  92. Dual Priority Scheduling is Not Optimal. Pontus Ekberg. In Leibniz International Proceedings in Informatics (LIPIcs), Dagstuhl, Germany, 2019. (DOI, Fulltext, External link).
  93. Monotonicity and robustness in Wiener disorder detection. Erik Ekström and Juozas Vaicenavicius. In Sequential Analysis, volume 38, number 1, pp 57-68, 2019. (DOI, Fulltext).
  94. A matrix-less and parallel interpolation–extrapolation algorithm for computing the eigenvalues of preconditioned banded symmetric Toeplitz matrices. Sven-Erik Ekström and Carlo Garoni. In Numerical Algorithms, volume 80, pp 819-848, 2019. (DOI, Fulltext).
  95. Eigenvalue isogeometric approximations based on B-splines: Tools and results. Sven-Erik Ekström and Stefano Serra-Capizzano. In Advanced Methods for Geometric Modeling and Numerical Simulation, pp 57-76, Springer, 2019. (DOI).
  96. Stochastic simulation of pattern formation in growing tissue: A multilevel approach. Stefan Engblom. In Bulletin of Mathematical Biology, volume 81, pp 3010-3023, 2019. (DOI, Fulltext).
  97. How should universities care for the future?: Universities encouraging and supporting students to care for the future – vision or reality. Keri Facer, John Holmberg, Celine Granjou, Johan Siebers, Susanna Barrineau, Laila Mandy, and Anne-Kathrin Peters. In , 2019.
  98. Depression Prevalence in Postgraduate Students and Its Association With Gait Abnormality. Jing Fang, Tao Wang, Cancheng Li, Xiping Hu, Edith Ngai, Boon-Chong Seet, Jun Cheng, Yi Guo, and Xin Jiang. In IEEE Access, volume 7, pp 174425-174437, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019. (DOI, Fulltext, fulltext:print).
  99. An Efficient UAV Hijacking Detection Method Using Onboard Inertial Measurement Unit. Zhiwei Feng, Nan Guan, Mingsong Lv, Weichen Liu, Qingxu Deng, Xue Liu, and Yi Wang. In ACM Transactions on Embedded Computing Systems, volume 17, number 6, ASSOC COMPUTING MACHINERY, 2019. (DOI).
  100. Godot: All the Benefits of Implicit and Explicit Futures. Kiko Fernandez-Reyes, Dave Clarke, Ludovic Henrio, Einar Broch Johnsen, and Tobias Wrigstad. In 33rd European Conference on Object-Oriented Programming (ECOOP 2019), volume 134 of Leibniz International Proceedings in Informatics (LIPIcs), 2019. (DOI, Fulltext, External link, fulltext:print).
  101. The eigenvalue distribution of special 2-by-2 block matrix-sequences with applications to the case of symmetrized Toeplitz structures. Paola Ferrari, Isabella Furci, Sean Hon, Mohammad Ayman Mursaleen, and Stefano Serra-Capizzano. In SIAM Journal on Matrix Analysis and Applications, volume 40, pp 1066-1086, 2019. (DOI).
  102. Courses-Concepts-Graphs as a Tool to Measure the Importance of Concepts in University Programmes. Eva Fjällstrom, Christoffer Forsberg, Felix Trulsson, Steffi Knorn, Kjell Staffas, Damiano Varagnolo, and Tobias Wrigstad. In 2019 18th European Control Conference (ECC), pp 3076-3083, IEEE, 2019. (DOI).
  103. An Intuition-Based Approach to Sustainable ICT: Insights from Eco-Ethica. Per Fors and Mikael Laaksoharju. In Tetsugaku Companion to Japanese Ethics and Technology, volume 1 of Tetsugaku Companions to Japanese Philosophy, pp 181-200, Springer, 2019. (Publisher's webpage).
  104. Assessing Students' IT Professional Values in a Global Project Setting. S. Frezza, Mats Daniels, and A. Wilkin. In ACM Transactions on Computing Education, volume 19, number 2, ASSOC COMPUTING MACHINERY, 2019. (DOI).
  105. Haptic feedback combined with movement sonification using a friction sound improves task performance in a virtual throwing task. Emma Frid, Jonas Moll, Roberto Bresin, and Eva-Lotta Sallnas Pysander. In Journal on Multimodal User Interfaces, volume 13, number 4, pp 279-290, 2019. (DOI, Fulltext).
  106. Learning Socially Appropriate Robot Approaching Behavior Toward Groups using Deep Reinforcement Learning. Alex Yuan Gao, Fangkai Yang, Martin Frisk, Daniel Hernandez, Christopher Peters, and Ginevra Castellano. In 2019 28th IEEE International Conference On Robot And Human Interactive Communication (RO-MAN), IEEE RO-MAN, Institute of Electrical and Electronics Engineers (IEEE), 2019. (DOI).
  107. Fast Adaptation with Meta-Reinforcement Learning for Trust Modelling in Human–Robot Interaction. Yuan Gao, Elena Sibirtseva, Ginevra Castellano, and Danica Kragic. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Proceedings of the International Conference on Intelligent Robots and Systems, pp 305-312, Institute of Electrical and Electronics Engineers (IEEE), 2019. (DOI, External link, fulltext:postprint).
  108. Block GLT sequences: Matrix functions and engineering application. Carlo Garoni and Stefano Serra-Capizzano. In The Electronic Journal of Linear Algebra, volume 35, pp 204-222, 2019. (DOI, Fulltext).
  109. Block generalized locally Toeplitz sequences: Topological construction, spectral distribution results, and star-algebra structure. Carlo Garoni, Stefano Serra-Capizzano, and Debora Sesana. In Structured Matrices in Numerical Linear Algebra: Analysis, Algorithms and Applications, pp 59-79, Springer, 2019. (DOI).
  110. Block locally Toeplitz sequences: Construction and properties. Carlo Garoni, Stefano Serra-Capizzano, and Debora Sesana. In Structured Matrices in Numerical Linear Algebra: Analysis, Algorithms and Applications, pp 25-58, Springer, 2019. (DOI).
  111. Multilevel Generalized Locally Toeplitz Sequences: An Overview and an Example of Application. Carlo Garoni and Stefano Serra-Capizzano. In International Conference on Numerical Analysis and Applied Mathematics (ICNAAM-2018), volume 2116 of AIP Conference Proceedings, 2019. (DOI).
  112. Symbol-based analysis of finite element and isogeometric B-spline discretizations of eigenvalue problems: Exposition and review. Carlo Garoni, Hendrik Speleers, Sven-Erik Ekström, Alessandro Reali, Stefano Serra-Capizzano, and Thomas J. R. Hughes. In Archives of Computational Methods in Engineering, volume 26, pp 1639-1690, 2019. (DOI).
  113. Oral Cancer Detection:: A Comparison of Texture Focused Deep Learning Approaches. Jo Gay, Hugo Harlin, Elisabeth Wetzer, Joakim Lindblad, and Natasa Sladoje. In Proceedings of the Swedish Society for Automated Image Analysis (SSBA), 2019. (External link).
  114. Texture-based oral cancer detection: A performance analysis of deep learning approaches.. Jo Gay, Hugo Harlin, Elisabeth Wetzer, Joakim Lindblad, and Natasa Sladoje. In 3rd NEUBIAS Conference, Luxembourg, 2019.
  115. Bridging the Gap: On a Humanoid Robotics Rookie League. Reinhard Gerndt, Maike Paetzel, Jacky Baltes, and Olivier Ly. In RoboCup 2018: Robot World Cup XXII, volume 11374 of Lecture Notes in Artificial Intelligence (LNAI), pp 193-204, Springer Nature, 2019. (DOI).
  116. An invisible burden: An experience-based approach to nurses' daily work life with healthcare information technology. Diane Golay. Licentiate thesis, IT licentiate theses / Uppsala University, Department of Information Technology nr 2019-001, Uppsala University, 2019. (fulltext).
  117. More work, same hours: Invisible HIT-induced tasks in nurses' everyday work. Diane Golay. 2019.
  118. The impact of information and communication technology on work, workers, and the psychosocial work context: Research trends from 2000–2017. Diane Golay, Ida Löscher, and Thomas Lind. 2019.
  119. Sleepy Devices Versus Radio Duty Cycling: The Case of Lightweight M2M. Carlos Gonzalo Peces, Joakim Eriksson, and Nicolas Tsiftes. In IEEE Internet of Things Journal, volume 6, number 2, pp 2550-2562, Institute of Electrical and Electronics Engineers (IEEE), 2019. (DOI).
  120. Sampled Simulation of Task-Based Programs. Thomas Grass, Trevor E. Carlson, Alejandro Rico, Germán Ceballos, Eduard Ayguade, Marc Casas, and Miquel Moreto. In IEEE Transactions on Computers, volume 68, number 2, pp 255-269, IEEE COMPUTER SOC, 2019. (DOI).
  121. Spatial lymphocyte dynamics in lymph nodes predicts the cytotoxic T cell frequency needed for HIV infection control. Dmitry Grebennikov, Anass Bouchnita, Vitaly Volpert, Nikolay Bessonov, Andreas Meyerhans, and Gennady Bocharov. In Frontiers in Immunology, volume 10, 2019. (DOI, Fulltext).
  122. Why high-performance modelling and simulation for big data applications matters. Clemens Grelck, Ewa Niewiadomska-Szynkiewicz, Marco Aldinucci, Andrea Bracciali, and Elisabeth Larsson. In High-Performance Modelling and Simulation for Big Data Applications, pp 1-35, Springer, 2019. (DOI, Fulltext).
  123. <em>TAF1</em>, associated with intellectual disability in humans, is essential for embryogenesis and regulates neurodevelopmental processes in zebrafish. Sanna Gudmundsson, Maria Wilbe, Beata Filipek Gorniok, Anna-Maja Molin, Sara Ekvall, Josefin Johansson, Amin Allalou, Hans Gylje, Vera M. Kalscheuer, Johan Ledin, Göran Annerén, and Marie-Louise Bondeson. In Scientific Reports, volume 9, 2019. (DOI, Fulltext, fulltext:print).
  124. Deep Learning in Image Cytometry: A Review. Anindya Gupta, Philip J. Harrison, Håkan Wieslander, Nicolas Pielawski, Kimmo Kartasalo, Gabriele Partel, Leslie Solorzano, Amit Suveer, Anna H. Klemm, Ola Spjuth, Ida-Maria Sintorn, and Carolina Wählby. In Cytometry Part A, volume 95, number 6, pp 366-380, 2019. (DOI, Fulltext, fulltext:print).
  125. Saul Abarbanel; Half a century of scientific work. Bertil Gustafsson. In Journal of Scientific Computing, volume 81, pp 1124-1135, 2019. (DOI, Fulltext).
  126. Impact of Q-Griffithsin anti-HIV microbicide gel in non-human primates: In situ analyses of epithelial and immune cell markers in rectal mucosa. Gökce Günaydin, Gabriella Edfeldt, David A. Garber, Muhammad Asghar, Laura Noel-Romas, Adam Burgener, Carolina Wählby, Lin Wang, Lisa C. Rohan, Patricia Guenthner, James Mitchell, Nobuyuki Matoba, Janet M. McNicholl, Kenneth E. Palmer, Annelie Tjernlund, and Kristina Broliden. In Scientific Reports, volume 9, NATURE PUBLISHING GROUP, 2019. (DOI, Fulltext, fulltext:print).
  127. The presence and impact of reference bias on population genomic studies of prehistoric human populations. Torsten Günther and Carl Nettelblad. In PLOS Genetics, volume 15, number 7, 2019. (DOI, Fulltext).
  128. Integrating Cyber-Attack Defense Techniques into Real-Time Cyber-Physical Systems. Xiaochen Hao, Mingsong Lv, Jiesheng Zheng, Zhengkui Zhang, and Yi Wang. In 2019 IEEE 37TH INTERNATIONAL CONFERENCE ON COMPUTER DESIGN (ICCD 2019), Proceedings IEEE International Conference on Computer Design, pp 237-245, IEEE, 2019. (DOI).
  129. Creating an Atlas over Handwritten Script Signs. Anders Hast, Lasse Mårtensson, Ekta Vats, and Raphaela Heil. In Digital Humanities in the Nordic Countries, 2019.
  130. Embedded Prototype Subspace Classification: A subspace learning framework. Anders Hast, Mats Lind, and Ekta Vats. In Computer Analysis of Images and Patterns, CAIP 2019, PT II, volume 11679 of Lecture Notes in Computer Science, pp 581-592, Springer, 2019. (DOI, External link).
  131. Making large collections of handwritten material easily accessible and searchable. Anders Hast, Per Cullhed, Ekta Vats, and Matteo Abrate. In Digital Libraries: Supporting Open Science, volume 988 of Communications in Computer and Information Science, pp 18-28, Springer, 2019. (DOI).
  132. Subspace Learning and Classification. Anders Hast, Mats Lind, and Ekta Vats. In Proc. 3rd Swedish Symposium on Deep Learning, 2019.
  133. Poroelastic effects destabilize mildly rate-strengthening friction to generate stable slow slip pulses. Elias R. Heimisson, Eric M. Dunham, and Martin Almquist. In Journal of the mechanics and physics of solids, volume 130, pp 262-279, 2019. (DOI, External link).
  134. Numerical Homogenization of Elliptic PDEs with Similar Coefficients. Fredrik Hellman and Axel Målqvist. In Multiscale Modeling & simulation, volume 17, number 2, pp 650-674, SIAM PUBLICATIONS, 2019. (DOI).
  135. Neutron transmission strain tomography for non-constant stress-free lattice spacing. Johannes N. Hendriks, Carl Jidling, Thomas B. Schön, Adrian Wills, Christopher M. Wensrich, and Erich H. Kisi. In Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms, volume 456, pp 64-73, 2019. (DOI).
  136. A Generalized Framework for Self-Play Training. Daniel Hernandez, Kevin Denamganai, Alex Yuan Gao, Peter York, Sam Devlin, Spyridon Samothrakis, and James Alfred Walker. In 2019 IEEE CONFERENCE ON GAMES (COG), IEEE Conference on Computational Intelligence and Games, pp 1-8, IEEE, 2019. (DOI).
  137. On Strings in Software Model Checking. Hossein Hojjat, Philipp Rümmer, and Ali Shamakhi. In Programming Languages and Systems - 17th Asian Symposium, APLAS 2019, Nusa Dua, Bali, Indonesia, December 1-4, 2019, Proceedings, pp 19-30, Cham, 2019. (DOI, External link).
  138. A hydrodynamic model of movement of a contact line over a curved wall. Hanna Holmgren and Gunilla Kreiss. 2019. (arXiv:1905.08788).
  139. A note on the spectral distribution of symmetrized Toeplitz sequences. Sean Hon, Mohammad Ayman Mursaleen, and Stefano Serra-Capizzano. In Linear Algebra and its Applications, volume 579, pp 32-50, 2019. (DOI).
  140. Probabilistic Bisimulation for Parameterized Systems: (with Applications to Verifying Anonymous Protocols). Chih-Duo Hong, Anthony W. Lin, Rupak Majumdar, and Philipp Rümmer. In Computer Aided Verification. CAV 2019., pp 455-474, Cham, 2019. (DOI, Fulltext, fulltext:print).
  141. Age-related differences in seeking clarification to understand medical record information. Isto Huvila, Jonas Moll, Heidi Enwald, Noora Hirvonen, Rose-Mharie Åhlfeldt, and Åsa Cajander. In Proc. 12th ISIC Conference: Part 2, volume 24:1 of Information Research, 2019. (Paper).
  142. Poster: Tiek: Two-tier Authentication and Key Distribution for Wearable Devices. Sam Hylamia, Christian Rohner, and Thiemo Voigt. In , 2019. (fulltext:postprint).
  143. Tiek: Two-tier Authentication and Key Distribution for Wearable Devices. Sam Hylamia, Wenqing Yan, Christian Rohner, and Thiemo Voigt. In 2019 INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB), IEEE , 2019, IEEE, 2019. (fulltext:postprint).
  144. Multiple Authentic Project-Based Experiences and Persistent Learning?. Ville Isomöttönen and Aletta Nylén. In 2019 IEEE Frontiers in Education Conference (FIE 2019), Frontiers in Education Conference, IEEE, 2019. (DOI).
  145. Searching for global employability: Can students capitalize on enabling learning environments?. Ville Isomöttönen, Mats Daniels, Åsa Cajander, Arnold Pears, and Roger McDermott. In ACM Transactions on Computing Education, volume 19, number 2, pp 11:1-29, 2019. (DOI).
  146. New model for pricing quanto credit default swaps. Andrey Itkin, Victor Shcherbakov, and Alexander Veygman. In International Journal of Theoretical and Applied Finance, volume 22, number 3, 2019. (DOI).
  147. Link quality estimation for arbitrary packet sizes over wireless links using packet reception events. Martin Jacobsson and Christian Rohner. In International Journal of Communication Systems, volume 32, number 16, 2019. (DOI, Fulltext, fulltext:print).
  148. Improving Sensor Network Convergecast Performance with Directional Antennas. Schandy Javier, Simon Olofsson, Thiemo Voigt, and Leonardo Steinfeld. In , 2019. (External link).
  149. Deep kernel learning for integral measurements. Carl Jidling, Johannes Hendriks, Thomas B. Schön, and Adrian Wills. 2019. (arXiv:1909.01844).
  150. Tailoring Gaussian processes for tomographic reconstruction. Carl Jidling. Licentiate thesis, IT licentiate theses / Uppsala University, Department of Information Technology nr 2019-005, Uppsala University, 2019. (fulltext).
  151. Evaluation of a sensor algorithm for motor state rating in Parkinson's disease. Dongni Johansson, Ilias Thomas, Anders Ericsson, Anders Johansson, Alexander Medvedev, Mevludin Memedi, Dag Nyholm, Fredrik Ohlsson, Marina Senek, Jack Spira, Jerker Westin, and Filip Bergquist. In Parkinsonism & Related Disorders, volume 64, pp 112-117, ELSEVIER SCI LTD, 2019. (DOI).
  152. SWEEP: Accelerating scientific research through scalable serverless workflows. Aji John, Kristiina Ausmees, Kathleen Muenzen, Catherine Kuhn, and Amanda Tan. In Companion Proc. 12th International Conference on Utility and Cloud Computing, pp 43-50, ACM Press, New York, 2019. (DOI).
  153. JayHorn: A Java Model Checker -: (Competition Contribution). Temesghen Kahsai, Philipp Rümmer, and Martin Schäf. In Tools and Algorithms for the Construction and Analysis of Systems, pp 214-218, Springer, Cham, 2019. (DOI, Fulltext, External link, fulltext:print).
  154. Information and Communication Technology for ethical leadership in business. Iordanis Kavathatzopoulos. In Journal of Information and Management, volume 38, number 4, pp 6-11, Japan Society for Information and Management, Tokyo, 2019. (External link).
  155. Comparing node degrees in probabilistic networks. Amin Kaveh, Matteo Magnani, and Christian Rohner. In Journal of Complex Networks, volume 7, number 5, pp 749-763, 2019. (DOI).
  156. Local measures for probabilistic networks. Amin Kaveh. Licentiate thesis, IT licentiate theses / Uppsala University, Department of Information Technology nr 2019-004, Uppsala University, 2019. (fulltext).
  157. Generalized convexity: The case of lineally convex Hartogs domains. Christer Oscar Kiselman. In Annales Polonici Mathematici, volume 123, pp 319-344, Institute of Mathematics of the Polish Academy of Sciences, 2019. (DOI).
  158. Hans Rådström and how to define smooth functions on any set. Christer Oscar Kiselman. In The Bulletin of the Swedish Mathematical Society, pp 20-23, 2019. (External link).
  159. Kion faris Zamenhof anta? 1887?. Christer Oscar Kiselman. In La Espero, number 2, pp 3-3, Sveda Esperanto-Federacio, 2019.
  160. Language choice in scientific writing: The case of mathematics at Uppsala University and a Nordic journal. Christer Oscar Kiselman. In Nordisk Matematisk Tidskrift. Normat., volume 61, number 2–4, pp 111-132, Nationellt centrum för matematikutbildning (NCM), Göteborg, 2019. (External link).
  161. Memore al Ebbe Vilborg. Christer Oscar Kiselman. In La Espero, number 2, pp 5-5, Sveda Esperanto-Federacio, 2019.
  162. Memore al Jarlo Martelmonto. Christer Oscar Kiselman. In La Espero, number 2, pp 5-5, Sveda Esperanto-Federacio, 2019.
  163. Werner Fenchel, a pioneer in convexity theory and a migrant scientist. Christer Oscar Kiselman. In Nordisk Matematisk Tidskrift, volume 61, number 2–4, pp 133-152, Nationellt centrum för matematikutbildning (NCM), Göteborg, 2019. (External link).
  164. Tracking Microscope Performance: A Workflow to Compare Point Spread Function Evaluations Over Time. Anna H. Klemm, Andreas W. Thomae, Katarina Wachal, and Steffen Dietzel. In Microscopy and Microanalysis, volume 25, number 3, pp 699-704, 2019. (DOI).
  165. Reasoning about knowledge and messages in asynchronous multi-agent systems. Sophia Knight, Bastien Maubert, and François Schwarzentruber. In Mathematical Structures in Computer Science, volume 29, number 1, pp 127-168, 2019. (DOI).
  166. Effects of jamming attacks on a control system with energy harvesting. Steffi Knorn and André Teixeira. In IEEE Control Systems Letters, volume 3, number 4, pp 829-834, Institute of Electrical and Electronics Engineers (IEEE), 2019. (DOI, External link).
  167. Quantitative analysis of curricula coherence using directed graphs. Steffi Knorn, Damiano Varagnolo, Kjell Staffas, Tobias Wrigstad, and Eva Fjällstrom. In IFAC-PapersOnLine, volume 52, number 9, pp 318-323, ELSEVIER, 2019. (DOI).
  168. A Fast and Robust Algorithm for Orientation Estimation Using Inertial Sensors. Manon Kok and Thomas B. Schön. In IEEE Signal Processing Letters, volume 26, number 11, pp 1673-1677, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019. (DOI).
  169. Stateless model checking of the Linux kernel's read-copy update (RCU). Michalis Kokologiannakis and Konstantinos Sagonas. In International Journal on Software Tools for Technology Transfer, volume 21, number 3, pp 287-306, SPRINGER HEIDELBERG, 2019. (DOI, Fulltext, fulltext:print).
  170. Visualization of convolutional neural network class activations in automated oral cancer detection for interpretation of malignancy associated changes. Nadezhda Koriakina, Natasa Sladoje, Ewert Bengtsson, Eva Darai Ramqvist, Jan M. Hirsch, Christina Runow Stark, and Joakim Lindblad. In 3rd NEUBIAS Conference, Luxembourg, 2-8 February 2019, 2019.
  171. An Analysis of the Consequences of the General Data Protection Regulation on Social Network Research. Andreas Kotsios, Matteo Magnani, Davide Vega, Luca Rossi, and Irina Shklovski. In ACM Transactions on Social Computing, volume 2, number 3, Association for Computing Machinery (ACM), 2019. (DOI, fulltext:postprint).
  172. A material chemistry tool for generating two body potentials. Akshay Krishna, Eddie Wadbro, Christof Kholer, Pavlin D. Mitev, Peter Broqvist, and Jolla Kullgren. In , 2019.
  173. Multigrid for matrix-free high-order finite element computations on graphics processors. Martin Kronbichler and Karl Ljungkvist. In ACM Transactions on Parallel Computing, volume 6, number 1, pp 2:1-32, 2019. (DOI).
  174. Efficient Density Matrix Methods for Large Scale Electronic Structure Calculations. Anastasia Kruchinina. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 1858, Acta Universitatis Upsaliensis, Uppsala, 2019. (fulltext, preview image).
  175. Efficient computation of the density matrix with error control on distributed computer systems. Anastasia Kruchinina, Elias Rudberg, and Emanuel H. Rubensson. 2019. (arXiv:1909.12533).
  176. Multiple eigenvectors around the homo–lumo gap as a cheap by-product in linear scaling electronic structure calculations. Anastasia Kruchinina. 2019. (arXiv:1909.11662).
  177. Freeway: Maximizing MLP for Slice-Out-of-Order Execution. Rakesh Kumar, Mehdi Alipour, and David Black-Schaffer. In 2019 25th IEEE International Symposium On High Performance Computer Architecture (HPCA), International Symposium on High-Performance Computer Architecture-Proceedings, pp 558-569, IEEE, 2019. (DOI, fulltext:postprint).
  178. Performance of an OO compute kernel on the JVM: Revisiting Java as a language for scientific computing applications. Malin Källén and Tobias Wrigstad. In Proc. 16th ACM SIGPLAN International Conference on Managed Programming Languages and Runtimes, pp 144-156, ACM Press, New York, 2019. (DOI).
  179. Performance of an OO compute kernel on the JVM: Revisiting Java as a language for scientific computing applications (extended version). Malin Källén and Tobias Wrigstad. Technical report / Department of Information Technology, Uppsala University nr 2019-007, 2019. (External link, fulltext).
  180. Parallelization of hierarchical matrix algorithms for electromagnetic scattering problems. Elisabeth Larsson, Afshin Zafari, Marco Righero, M. Alessandro Francavilla, Giorgio Giordanengo, Francesca Vipiana, Giuseppe Vecchi, Christoph Kessler, Corinne Ancourt, and Clemens Grelck. In High-Performance Modelling and Simulation for Big Data Applications, pp 36-68, Springer, 2019. (DOI, Fulltext).
  181. A robust multi-variability model based liver segmentation algorithm for CT-scan and MRI modalities. Marie-Ange Lebre, Antoine Vacavant, Manuel Grand-Brochier, Hugo Rositi, Robin Strand, Hubert Rosier, Armand Abergel, Pascal Chabrot, and Benoit Magnin. In Computerized Medical Imaging and Graphics, volume 76, PERGAMON-ELSEVIER SCIENCE LTD, 2019. (DOI).
  182. Load Coupling and Energy Optimization in Multi-Cell and Multi-Carrier NOMA Networks. Lei Lei, Lei You, Yang Yang, Di Yuan, Symeon Chatzinotas, and Bjoern Ottersten. In IEEE Transactions on Vehicular Technology, volume 68, number 11, pp 11323-11337, 2019. (DOI).
  183. Data consistency approach to model validation. Andreas Lindholm, Dave Zachariah, Peter Stoica, and Thomas B. Schön. In IEEE Access, volume 7, pp 59788-59796, 2019. (DOI, Fulltext).
  184. Exposing inter-process information for efficient PDES of spatial stochastic systems on multicores. Jonatan Lindén, Pavol Bauer, Stefan Engblom, and Bengt Jonsson. In ACM Transactions on Modeling and Computer Simulation, volume 29, number 2, pp 11:1-25, 2019. (DOI).
  185. Dynamic nonlinear partial least squares modeling using Gaussian process regression. Hongbin Liu, Chong Yang, Bengt Carlsson, S. Joe Qin, and ChangKyoo Yoo. In Industrial & Engineering Chemistry Research, volume 58, number 36, pp 16676-16686, 2019. (DOI, Fulltext).
  186. Supervised classification methods for flash X-ray single particle diffraction imaging. Jing Liu, Gijs van der Schot, and Stefan Engblom. In Optics Express, volume 27, pp 3884-3899, 2019. (DOI, Fulltext).
  187. Modeling spatial correlation of transcripts with application to developing pancreas. Ruishan Liu, Marco Mignardi, Robert Jones, Martin Enge, Seung K. Kim, Stephen R. Quake, and James Zou. In Scientific Reports, volume 9, 2019. (DOI, Fulltext).
  188. Gaussian Process Learning for Distributed Sensor Networks Under False Data Injection Attacks. Xiuming Liu and Edith Ngai. In 2019 IEEE Conference On Dependable And Secure Computing (DSC), pp 190-195, 2019.
  189. APTER: Aggregated Prognosis Through Exponential Re-weighting. Yang Liu and Kristiaan Pelckmans. In Computing and Combinatorics, volume 11653 of Lecture Notes in Computer Science (LNCS), pp 425-436, Springer Nature, 2019. (DOI).
  190. Depth from defocus (DFD) based on VFISTA optimization algorithm in micro/nanometer vision. Yongjun Liu, Yangjie Wei, and Yi Wang. In Cluster Computing, volume 22, pp 1459-1467, SPRINGER, 2019. (DOI).
  191. A Deep Learning based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images. Jiahao Lu, Natasa Sladoje, Christina Runow Stark, Eva Darai Ramqvist, Jan-Michael Hirsch, and Joakim Lindblad. 2019. (arXiv:1910.10549).
  192. Brown adipose tissue estimated with the magnetic resonance imaging fat fraction is associated with glucose metabolism in adolescents. Elin Lundström, Joy Ljungberg, Jonathan Andersson, Hannes Manell, Robin Strand, Anders Forslund, Peter Bergsten, Daniel Weghuber, Katharina Mörwald, Fanni Zsoldos, Kurt Widhalm, Matthias Meissnitzer, Håkan Ahlström, and Joel Kullberg. In Pediatric Obesity, volume 14, number 9, 2019. (DOI, Fulltext).
  193. Visualizing Purpose and Functionality Overlaps of Health IT Systems using an Abstraction Hierarchy. Ida Löscher and Thomas Lind. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, pp 317-321, Sage Publications, Newbury Park, California, 2019. (DOI, Fulltext, fulltext:print).
  194. The linear noise approximation for spatially dependent biochemical networks. Per Lötstedt. In Bulletin of Mathematical Biology, volume 81, pp 2873-2901, 2019. (DOI, Fulltext).
  195. Comparison of NoSQL Datastores for Large Scale Data Stream Log Analytics. Khalid Mahmood, Kjell Orsborn, and Tore Risch. In 2019 IEEE International Conference on Smart Computing (SMARTCOMP), pp 478-480, IEEE, 2019. (DOI).
  196. On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool. Tomáš Majtner, Buda Baji?, Joakim Lindblad, Natasa Sladoje, Victoria Blanes-Vidal, and Esmaeil S. Nadimi. In Scandinavian Conference on Image Analysis: SCIA 2019, volume 11482 of Lecture Notes in Computer Science, pp 439-451, 2019. (DOI, External link).
  197. Optimization of max-norm objective functions in image processing and computer vision. Filip Malmberg, Krzysztof Chris Ciesielski, and Robin Strand. In Discrete Geometry for Computer Imagery, volume 11414 of Lecture Notes in Computer Science, pp 206-218, Springer, 2019. (DOI).
  198. Thermal conductivity of firn at Lomonosovfonna, Svalbard, derived from subsurface temperature measurements. Sergey Marchenko, Gong Cheng, Per Lötstedt, Veijo Pohjola, Rickard Pettersson, Ward van Pelt, and Carleen Reijmer. In The Cryosphere, volume 13, pp 1843-1859, 2019. (DOI, Fulltext).
  199. IEEE 802.15. 4 TSCH in Sub-GHz: Design Considerations and Multi-band Support. Brachmann Martina, Simon Duquennoy, Nicolas Tsiftes, and Thiemo Voigt. In Proceedings of the IEEE LCN: 2019 44th Annual IEEE Conference on Local Computer Networks (LCN 2019), Conference on local computer networks, pp 42-50, IEEE COMPUTER SOC, 2019.
  200. Flexible Models for Smart Maintenance. Per Mattsson, Dave Zachariah, and Niclas Bjorsell. In 2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), IEEE International Conference on Industrial Technology, pp 1772-1777, 2019.
  201. Image and Data Analysis for Biomedical Quantitative Microscopy. Damian J. Matuszewski. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 1864, Acta Universitatis Upsaliensis, Uppsala, 2019. (fulltext, preview image).
  202. Reducing the U-Net size for practical scenarios: Virus recognition in electron microscopy images. Damian J. Matuszewski and Ida-Maria Sintorn. In Computer Methods and Programs in Biomedicine, volume 178, pp 31-39, ELSEVIER IRELAND LTD, 2019. (DOI).
  203. Isogeometric analysis for 2D and 3D curl–div problems: Spectral symbols and fast iterative solvers. Mariarosa Mazza, Carla Manni, Ahmed Ratnani, Stefano Serra-Capizzano, and Hendrik Speleers. In Computer Methods in Applied Mechanics and Engineering, volume 344, pp 970-997, 2019. (DOI).
  204. Spectral analysis and spectral symbol for the 2D curl–curl (stabilized) operator with applications to the related iterative solutions. Mariarosa Mazza, Ahmed Ratnani, and Stefano Serra-Capizzano. In Mathematics of Computation, volume 88, number 317, pp 1155-1188, 2019. (DOI).
  205. Control-Engineering Perspective on Deep Brain Stimulation: Revisited. Alexander Medvedev, Rubèn Cubo, Fredrik Olsson, Viktor Bro, and Helena Andersson. In 2019 American Control Conference (ACC), Proceedings of the American Control Conference, pp 860-865, 2019. (DOI, Conference information).
  206. Oscillations-free PID control of anesthetic drug delivery in neuromuscular blockade. Alexander Medvedev, Zhanybai T. Zhusubaliyev, Olov Rosén, and Margarida Martins da Silva. In Computer Methods and Programs in Biomedicine, volume 171, pp 119-131, ELSEVIER IRELAND LTD, 2019. (DOI).
  207. Content-Based Image Retrieval System for Pulmonary Nodules Using Optimal Feature Sets and Class Membership-Based Retrieval. Shrikant A. Mehre, Ashis Kumar Dhara, Mandeep Garg, Naveen Kalra, Niranjan Khandelwal, and Sudipta Mukhopadhyay. In Journal of digital imaging, volume 32, pp 362-385, 2019. (DOI).
  208. The impact of interactive visualization on trade-off-based geospatial decision-making. Goran Milutinovic, Ulla Ahonen-Jonnarth, Stefan Seipel, and Sven Anders Brandt. In International Journal of Geographical Information Science, volume 33, number 10, pp 2094-2123, 2019. (DOI, Fulltext).
  209. Bioimage Data Analysis Workflows. Kota Miura and Natasa Sladoje (eds). Learning Materials in Biosciences, Springer, 2019. (DOI, Fulltext, fulltext).
  210. Linear scaling pseudo Fermi-operator expansion for fractional occupation. Susan M. Mniszewski, Romain Perriot, Emanuel H. Rubensson, Christian F. A. Negre, Marc J. Cawkwell, and Anders M. N. Niklasson. In Journal of Chemical Theory and Computation, volume 15, pp 190-200, 2019. (DOI).
  211. makeSense: Simplifying the Integration of Wireless Sensor Networks into Business Processes. Luca Mottola, Gian Pietro Picco, Felix Oppermann, Joakim Eriksson, Niclas Finne, Harald Fuchs, Andrea Gaglione, Stamatis Karnouskos, Patricio Montero, Nina Oertel, Kay Römer, Patrik Spiess, Stefano Tranquillini, and Thiemo Voigt. In IEEE Transactions on Software Engineering, volume 45, number 6, pp 576-596, IEEE Computer Society, 2019. (DOI).
  212. Reflecting on the presence of science fiction robots in computing literature. Omar Mubin, Kewal Wadibhasme, Philipp Jordan, and Mohammad Obaid. In ACM Transactions on Human-Robot Interaction, volume 8, number 1, 2019. (DOI).
  213. A library for wall-modelled large-eddy simulation based on OpenFOAM technology. Timofey Mukha, Saleh Rezaeiravesh, and Mattias Liefvendahl. In Computer Physics Communications, volume 239, pp 204-224, 2019. (DOI).
  214. In search of the scribe: Letter spotting as a tool for identifying scribes in large handwritten text corpora. Lasse Mårtensson, Ekta Vats, Anders Hast, and Alicia Fornés. In Human IT, volume 14, number 2, pp 95-120, 2019. (External link).
  215. Elements of Sequential Monte Carlo. Christian A. Naesseth, Fredrik Lindsten, and Thomas B. Schön. In FOUNDATIONS AND TRENDS IN MACHINE LEARNING, volume 12, number 3, pp 187-306, NOW PUBLISHERS INC, 2019. (DOI).
  216. High-Dimensional Filtering Using Nested Sequential Monte Carlo. Christian A. Naesseth, Fredrik Lindsten, and Thomas B. Schön. In IEEE Transactions on Signal Processing, volume 67, number 16, pp 4177-4188, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019. (DOI).
  217. Max-Min Fairness Design for MIMO Interference Channels: A Minorization-Maximization Approach. Mohammad Mahdi Naghsh, Maryatn Masjedi, Annan Adibi, and Petre Stoica. In IEEE Transactions on Signal Processing, volume 67, number 18, pp 4707-4719, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019. (DOI).
  218. Distance Transform Based on Weight Sequences. Benedek Nagy, Robin Strand, and Nicolas Normand. In DGCI 2019: Discrete Geometry for Computer Imagery, volume 11414 of Lecture Notes in Computer Science, pp 62-74, Springer, Switzerland AG, 2019. (DOI, External link).
  219. Automatic for the People: Implementing Robotic Process Automation in Social Work. Gerolf Nauwerck and Åsa Cajander. In Proceedings of the 17th European Conference on Computer: Supported Cooperative Work-Demos and Posters, 2019. (External link).
  220. Model Checking of Software Systems under Weak Memory Models. Tuan-Phong Ngo. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 1745, Acta Universitatis Upsaliensis, Uppsala, 2019. (fulltext, preview image).
  221. Directed Statistical Warming through Time Traveling. Nikos Nikoleris, Lieven Eeckhout, Erik Hagersten, and Trevor E. Carlson. In MICRO'52: The 52nd Annual IEEE/ACM International Symposium On Microarchitecture, pp 1037-1049, 2019. (DOI).
  222. Efficient Memory Modeling During Simulation and Native Execution. Nikos Nikoleris. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 1756, Acta Universitatis Upsaliensis, Uppsala, 2019. (fulltext, preview image).
  223. Container-based bioinformatics with Pachyderm. Jon Ander Novella, Payam Emami Khoonsari, Stephanie Herman, Daniel Whitenack, Marco Capuccini, Joachim Burman, Kim Kultima, and Ola Spjuth. In Bioinformatics, volume 35, pp 839-846, 2019. (DOI, Fulltext).
  224. Frequency conditions for stable networked controllers with time-delay. Johannes Nygren, Torbjörn Wigren, and Kristiaan Pelckmans. In International Journal of Control, volume 92, number 4, pp 886-895, 2019. (DOI).
  225. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Ingela Nyström, Yanio Hernández Heredia, and Vladimir Milián Núñez (eds). Volume 11896 of Lecture Notes in Computer Science book series (LNCS, volume 11896), Springer-Verlag New York, 2019. (External link).
  226. Cognitive Chunks as Neural Activity: Is it Possible to see What you Think?. Lars Oestreicher. In Proceedings Of The 10th IEEE International Conference On Cognitive Infocommunications: CogInfoCom 2019, pp 199-204, IEEE conference proceedings, Neapel, 2019. (DOI, fulltext:postprint).
  227. Future assistive devices: What's at stake for you or me?. Lars Oestreicher. In XRDS, volume 26, number 1, pp 46-49, 2019. (DOI).
  228. Joint Axis Estimation for Fast and Slow Movements Using Weighted Gyroscope and Acceleration Constraints. Fredrik Olsson, Thomas Seel, Dustin Lehmann, and Kjartan Halvorsen. In 2019 22th International Conference on Information Fusion (FUSION), 2019. (Publisher fulltext, fulltext:postprint).
  229. Cross-technology Clear Channel Assessment for Low-Power Wide Area Networks. Charalampos Orfanidis, Laura Marie Feeney, Martin Jacobsson, and Per Gunningberg. In Proceedings of The 16th IEEE International Conference on Mobile Ad-Hoc and Smart Systems, pp 199-207, IEEE, 2019. (DOI, External link).
  230. Voxel-wise assessment of lung aeration changes on CT images using image registration: a: application to acute respiratory distress syndrome (ARDS). Maciej Orkisz, Alfredo Morales, Jean-Christophe Richard, Claude Guerin, Leslie Solorzano, Daniela Florentina Sicaru, Camila Garcia Hernandez, Margarita Gomez Ballen, Bruno Neyran, Eduardo Davila, and Marcela Hernández Hoyos. In International Journal of Computer Assisted Radiology and Surgery, pp 1-9, 2019. (DOI).
  231. Inferring Heterogeneous Causal Effects in Presence of Spatial Confounding. Muhammad Osama, Dave Zachariah, and Thomas B. Schön. In Proceedings of the 36th International Conference on Machine Learning, volume 97 of Proceedings of Machine Learning Research, pp 4942-4950, 2019. (Proceedings paper on publisher's website).
  232. Prediction of Spatial Point Processes: Regularized Method with Out-of-Sample Guarantees. Muhammad Osama, Dave Zachariah, and Peter Stoica. In ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), volume 32 of Advances in Neural Information Processing Systems, Neural Information Processing Systems, 2019. (External link).
  233. "Can you say more about the location?": The Development of a Pedagogical Reference Resolution Agent. Maike Paetzel and Ramesh Manuvinakurike. In , 2019. (External link, fulltext:print).
  234. Let me get to know you better: Can interactions help to overcome uncanny feelings?. Maike Paetzel and Ginevra Castellano. In Proc. 7th International Conference on Human–Agent Interaction, pp 59-67, Association for Computing Machinery (ACM), New York, 2019. (DOI, External link).
  235. Rational nanotoolbox with theranostic potential for medicated pro-regenerative corneal implants. Hirak K. Patra, Mohammad Azharuddin, Mohammad M. Islam, Georgia Papapavlou, Suryyani Deb, Johannes Osterrieth, Geyunjian Harry Zhu, Thobias Romu, Ashis Kumar Dhara, Mohammad J. Jafari, Amineh Gadheri, Jorma Hinkula, Madhavan S. Rajan, and Nigel K. H. Slater. In Advanced Functional Materials, volume 29, number 38, 2019. (DOI).
  236. Formal Approaches to Secure Compilation: A Survey of Fully Abstract Compilation and Related Work. Marco Patrignani, Amal Ahmed, and Dave Clarke. In ACM Computing Surveys, volume 51, number 6, 2019. (DOI).
  237. When is Quality Assurance a Constructive Force in Engineering Education?. Arnold Pears, Mats Daniels, Aletta Nylen, and Roger McDermott. In 2019 IEEE Frontiers in Education Conference (FIE 2019), Frontiers in Education Conference, IEEE, 2019.
  238. Participation and learner trajectories in computing education. Anne-Kathrin Peters. In , volume 6 of Contributions from Science Education Research Series, pp 139-152, Springer, 2019. (DOI).
  239. Students' experience of participation in a discipline: A longitudinal study of computer science and IT engineering students. Anne-Kathrin Peters. In ACM Transactions on Computing Education, volume 19, number 1, pp 1-28, Association for Computing Machinery (ACM), 2019. (DOI).
  240. Utilising Diversity for Project Work and Learning: A Study of the Learning Agreement Intervention. Anne-Kathrin Peters, Mats Daniels, and Åsa Cajander. In 2019 IEEE Frontiers in Education Conference (FIE 2019), Frontiers in Education Conference, IEEE, 2019. (DOI).
  241. Average volume reference space for large scale registration of whole-body magnetic resonance images. Martino Pilia, Joel Kullberg, Håkan Ahlström, Filip Malmberg, Simon Ekström, and Robin Strand. In PLOS ONE, volume 14, number 10, 2019. (DOI, Fulltext, fulltext:print).
  242. Backscatter Communication for Wireless Robotic Materials. Dilushi Piumwardane, Carlos Perez Penichet, Christian Rohner, and Thiemo Voigt. In EWSN'19: Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks, pp 336-340, Junction Publishing, 2019. (DOI, Fulltext, fulltext:print).
  243. Poster: Backscatter Communication for Wireless Robotic Materials. Dilushi Piumwardane, Carlos Pérez-Penichet, Christian Rohner, and Thiemo Voigt. In Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks, EWSN ’19, pp 224-225, Junction Publishing, 2019.
  244. Poster: Backscatter Communication for Wireless Robotic Materials. Dilushi Piumwardane, Carlos Pérez-Penichet, Christian Rohner, and Thiemo Voigt. In , Junction Publishing, 2019.
  245. 1.5 Degrees of Separation: Computer Science Education in the Age of the Anthropocene. Ian Pollock, Bedour Alshaigy, Andrew Bradley, Birgit R. Krogstie, Viraj Kumar, Linda M Ott, Anne-Kathrin Peters, Charles P Riedesel, and Charles Wallace. In ITiCSE-WGR '19: Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education, pp 1-25, ACM Digital Library, 2019. (DOI).
  246. 1.5 Degrees of Separation: Computer Science Education in the Age of the Anthropocene. Ian Pollock, Bedour Alshaigy, Andrew Bradley, Birgit R. Krogstie, Viraj Kumar, Linda Ott, Anne-Kathrin Peters, Charles Riedesel, and Charles Wallace. In ITiCSE '19: Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, pp 263-264, Association for Computing Machinery (ACM), 2019. (DOI).
  247. Efficient thread/page/parallelism autotuning for NUMA systems. Mihail Popov, Alexandra Jimborean, and David Black-Schaffer. In ICS '19: Proceedings of the ACM International Conference on Supercomputing, pp 342-353, Association for Computing Machinery (ACM), New York, NY, USA, 2019. (DOI, Fulltext, fulltext:print).
  248. A simple positive state observer for multidimensional Goodwin's oscillator. Anton V. Proskurnikov and Alexander Medvedev. In Proc. 17th European Control Conference, pp 1671-1676, IEEE, 2019. (DOI).
  249. Probabilistic approach to limited-data computed tomography reconstruction. Zenith Purisha, Carl Jidling, Niklas Wahlström, Thomas B. Schön, and Simo Särkkä. In Inverse Problems, volume 35, number 10, 2019. (DOI).
  250. Carrier Scheduling in IoT Networks with Interoperable Battery-free Backscatter Tags. Carlos Pérez-Penichet and Thiemo Voigt. In IPSN '19: Proceedings of the 2019 International Conference on Information Processing in Sensor Networks, pp 329-330, Association for Computing Machinery (ACM), 2019. (DOI).
  251. Modelling Battery-free Communications for the Cooja Simulator. Carlos Pérez-Penichet, Georgios Theodoros Daglaridis, Dilushi Piumwardane, and Thiemo Voigt. In Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks, pp 47-58, 2019. (External link, External link).
  252. Tail distribution and extreme quantile estimation using non-parametric approaches. Imen Rached and Elisabeth Larsson. In High-Performance Modelling and Simulation for Big Data Applications, pp 69-87, Springer, 2019. (DOI, Fulltext).
  253. RFI Mitigation for UWB Radar Via Hyperparameter-Free Sparse SPICE Methods. Jiaying Ren, Tianyi Zhang, Jian Li, Lam H. Nguyen, and Petre Stoica. In IEEE Transactions on Geoscience and Remote Sensing, volume 57, number 6, pp 3105-3118, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019. (DOI).
  254. Sinusoidal parameter estimation from signed measurements via majorization–minimization based RELAX. Jiaying Ren, Tianyi Zhang, Jian Li, and Peter Stoica. In IEEE Transactions on Signal Processing, volume 67, number 8, pp 2173-2186, 2019. (DOI).
  255. Capturing and characterizing human activities using building locations in America. Zheng Ren, Bin Jiang, and Stefan Seipel. In ISPRS International Journal of Geo-Information, volume 8, number 5, 2019. (DOI, Fulltext).
  256. Systematic study of accuracy of wall-modeled large eddy simulation using uncertainty quantification techniques. Saleh Rezaeiravesh, Timofey Mukha, and Mattias Liefvendahl. In Computers & Fluids, volume 185, pp 34-58, 2019. (DOI).
  257. Identification of a Duffing oscillator using particle Gibbs with ancestor sampling. T J Rogers, Thomas B. Schön, Andreas Lindholm, K. Worden, and E J Cross. In Journal of Physics, Conference Series, volume 1264, number 1, Institute of Physics Publishing (IOPP), 2019. (DOI, Fulltext, fulltext:print).
  258. Region-by-region analysis of PET, MRI, and histology in en bloc-resected oligodendrogliomas reveals intra-tumoral heterogeneity. Kenney Roy Roodakker, Ali Alhuseinalkhudhur, Mohammed Al-Jaff, Maria Georganaki, Maria Zetterling, Shala G. Berntsson, Torsten Danfors, Robin Strand, Per-Henrik Edqvist, Anna Dimberg, Elna-Marie Larsson, and Anja Smits. In European Journal of Nuclear Medicine and Molecular Imaging, volume 46, number 3, pp 569-579, 2019. (DOI, Fulltext).
  259. Observing the tech, using meetup data to observe the evolution of the discourse around IoT. Luca Rossi, Matteo Magnani, Davide Vega D'Aurelio, and Obaida Hanteer. In Selected Papers of Internet Research, SPIR, Annual Conference of the Association of Internet Researchers, 2019. (DOI).
  260. JayHorn: A Java Model Checker. Philipp Rümmer. In PROCEEDINGS OF THE 21ST WORKSHOP ON FORMAL TECHNIQUES FOR JAVA-LIKE PROGRAMS (FTFJP 2019), ASSOC COMPUTING MACHINERY, 2019. (DOI).
  261. Concolic Testing of Higher-order Functional Languages. Konstantinos Sagonas. In Electronic Proceedings in Theoretical Computer Science, pp 2-2, Open Publishing Association, 2019. (Abstrakt).
  262. Efficient invisible speculative execution through selective delay and value prediction. Christos Sakalis, Stefanos Kaxiras, Alberto Ros, Alexandra Jimborean, and Magnus Själander. In Proc. 46th International Symposium on Computer Architecture, pp 723-735, ACM Press, New York, 2019. (DOI, fulltext:postprint).
  263. Ghost Loads: What is the cost of invisible speculation?. Christos Sakalis, Mehdi Alipour, Alberto Ros, Alexandra Jimborean, Stefanos Kaxiras, and Magnus Själander. In Proceedings of the 16th ACM International Conference on Computing Frontiers, pp 153-163, ACM Press, New York, 2019. (DOI, fulltext:postprint).
  264. Why not use the phone: Digitalisation and nurses’ communication in a large hospital. Minna Salminen-Karlsson and Diane Golay. In Abstract Book. Work 2019: Real Work in the Virtual World, 2019. (External link).
  265. Automated active fault detection in fouled dissolved oxygen sensors. Oscar Samuelsson, Jesus Zambrano, Anders Björk, and Bengt Carlsson. In Water Research, volume 166, PERGAMON-ELSEVIER SCIENCE LTD, 2019. (DOI).
  266. Automated active fault detection in fouled dissolved oxygen sensors. Oscar Samuelsson, Jesús Zambrano, Anders Björk, and Bengt Carlsson. In , 2019.
  267. Sensor bias impact on controlling daily variations in wastewater loads. Oscar Samuelsson, Gustaf Olsson, Erik Lindblom, Anders Björk, and Bengt Carlsson. In , 2019.
  268. Sensor bias impact on controlling daily variations in wastewater loads. Oscar Samuelsson, Gustaf Olsson, Erik Lindblom, Anders Björk, and Bengt Carlsson. In , 2019.
  269. Steady-state data reconciliation of a dynamic process. Oscar Samuelsson, Quan Le, Anders Björk, Eveline Volcke, and Bengt Carlsson. In , 2019.
  270. A strategy for OCT estimation of the optic nerve head pigment epithelium central limit-inner limit of the retina minimal distance, PIMD-2?. Camilla Sandberg Melin, Filip Malmberg, and Per G. Söderberg. In Acta Ophthalmologica, volume 97, number 2, pp 208-213, 2019. (DOI).
  271. Why Digital Systems Do Not Reach Their Full Potential in Organizations. Bengt Sandblad and Thomas Lind. In XRDS: Crossroads, The ACM Magazine for Students, volume 25, number 2, pp 32-27, 2019. (DOI, Fulltext).
  272. Inferential statistics in computing education research: A methodological review. Kate Sanders, Judy Sheard, Brett A. Becker, Anna Eckerdal, Sally Hamouda, and Simon. In Proc. 15th International Computing Education Research Conference, pp 177-185, ACM Press, New York, 2019. (DOI).
  273. Handling Inherent Delays in Virtual IoT Gateways. Hazra Saptarshi, Simon Duquennoy, Peng Wang, Thiemo Voigt, Chenguang Lu, and Daniel Cederholm. In , 2019. (External link).
  274. PRAT: a Tool for Assessing Risk in Written Communication. Amendra Shrestha, Lisa Kaati, and Nazar Akrami. In 2019 IEEE International Conference on Big Data (Big Data), pp 4755-4762, 2019. (DOI).
  275. Techniques for analyzing digital environments from a security perspective. Amendra Shrestha. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 1786, Acta Universitatis Upsaliensis, Uppsala, 2019. (fulltext, preview image).
  276. Uniprocessor scheduling of real-time synchronous dataflow tasks. Abhishek Singh, Pontus Ekberg, and Sanjoy Baruah. In Real-time systems, volume 55, number 1, pp 1-31, 2019. (DOI).
  277. Facilitating Ultrastructural Pathology through Automated Imaging and Analysis. Ida-Maria Sintorn, Amit Suveer, Anca Dragomir, Kjell Hultenby, Elisabeth Wetzer, Kristína Lidayová, Nataša Sladoje, Joakim Lindblad, and Martin Ryner. In Journal of Pathology Informatics, volume 10, number 1, pp 38-39, Elsevier, 2019. (Abstracts in full-text).
  278. A whole-body FDG PET/MR atlas for multiparametric voxel-based analysis. Therese Sjöholm, Simon Ekström, Robin Strand, Håkan Ahlström, Lars Lind, Filip Malmberg, and Joel Kullberg. In Scientific Reports, volume 9, 2019. (DOI, Fulltext, fulltext:print).
  279. Higher order cut finite elements for the wave equation. Simon Sticko and Gunilla Kreiss. In Journal of Scientific Computing, volume 80, pp 1867-1887, 2019. (DOI, Fulltext).
  280. Methods for Processing and Analysis of Biomedical TEM Images. Amit Suveer. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 1807, Acta Universitatis Upsaliensis, Uppsala, 2019. (fulltext, preview image).
  281. Super-resolution Reconstruction of Transmission Electron Microscopy Images using Deep Learning. Amit Suveer, Anindya Gupta, Gustaf Kylberg, and Ida-Maria Sintorn. In 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), Biomedical Imaging, IEEE International Symposium on, pp 548-551, IEEE, 2019. (DOI).
  282. Data Consistency Approach to Model Validation. Andreas Svensson, Dave Zachariah, Peter Stoica, and Thomas B. Schön. In IEEE Access, 2019. (DOI).
  283. A user perspective on errors-in-variables methods in system identification. Torsten Söderström. In Control Engineering Practice, volume 89, pp 56-69, 2019. (DOI).
  284. Conditionally Independent Multiresolution Gaussian Processes. Jalil Taghia and Thomas B. Schön. In 22nd International Conference On Artificial Intelligence And Statistics, Vol 89, volume 89 of Proceedings of Machine Learning Research, 2019.
  285. Impulsive model of endocrine regulation with a local continuous feedback. Hadi Taghvafard, Alexander Medvedev, Anton V. Proskurnikov, and Ming Cao. In Mathematical Biosciences, volume 310, pp 128-135, 2019. (DOI).
  286. On the development of a method for cognitive load assessment in manufacturing. Peter Thorvald, Jessica Lindblom, and Rebecca Andreasson. In Robotics and Computer-Integrated Manufacturing, volume 59, pp 252-266, 2019. (DOI).
  287. Analysis of students’ learning of computer programming in a computer laboratory context. Michael Thuné and Anna Eckerdal. In European Journal of Engineering Education, volume 44, pp 769-786, 2019. (DOI, Fulltext).
  288. Bayesian identification of state-space models via adaptive thermostats. Jack Umenberger, Thomas B. Schön, and Fredrik Lindsten. In 2019 IEEE 58th conference on decision and control (CDC), IEEE Conference on Decision and Control, pp 7382-7388, IEEE, 2019.
  289. Convex Bounds for Equation Error in Stable Nonlinear Identification. Jack Umenberger and Ian R. Manchester. In IEEE Control Systems Letters, volume 3, number 1, pp 73-78, Institute of Electrical and Electronics Engineers (IEEE), 2019. (DOI).
  290. Robust exploration in linear quadratic reinforcement learning. Jack Umenberger, Mina Ferizbegovic, Thomas B. Schön, and Hakan Hjalmarsson. In Advances in Neural Information Processing Systems 32 (NIPS 2019), volume 32 of Advances in Neural Information Processing Systems, NEURAL INFORMATION PROCESSING SYSTEMS (NIPS), 2019. (External link).
  291. Specialized Interior-Point Algorithm for Stable Nonlinear System Identification. Jack Umenberger and Ian R. Manchester. In IEEE Transactions on Automatic Control, volume 64, number 6, pp 2442-2456, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019. (DOI).
  292. Optimizing Bit-Serial Matrix Multiplication for Reconfigurable Computing. Yaman Umuroglu, Davide Conficconi, Lahiru Rasnayake, Thomas B. Preusser, and Magnus Själander. In ACM Transactions on Reconfigurable Technology and Systems, volume 12, number 3, ASSOC COMPUTING MACHINERY, 2019. (DOI).
  293. New De?nition of Quality-Scale Robustness for Image Processing Algorithms, with Generalized Uncertainty Modeling, Applied to Denoising and Segmentation. Antoine Vacavant, Marie-Ange Lebre, Hugo Rositi, Manuel Grand-Brochier, and Robin Strand. In RRPR 2018: Reproducible Research in Pattern Recognition: Reproducible Research in Pattern Recognition, volume 11455 of Lecture Notes in Computer Science, pp 138-149, Springer, Switzerland AG, 2019. (DOI, External link).
  294. Evaluating model calibration in classification. Juozas Vaicenavicius, David Widmann, Carl Andersson, Fredrik Lindsten, Jacob Roll, and Thomas B. Schön. In 22nd International Conference on Artificial Intelligence and Statistics, volume 89 of Proceedings of Machine Learning Research, pp 3459-3467, 2019. (Abstract).
  295. On model order priors for Bayesian identification of SISO linear systems. Patricio E. Valenzuela, Thomas B. Schön, and Cristian R. Rojas. In International Journal of Control, volume 92, number 7, pp 1645-1661, 2019. (DOI).
  296. Automatic detection of calving events from time-lapse imagery at Tunabreen, Svalbard. Dorothée Vallot, Sigit Adinugroho, Robin Strand, Penelope How, Rickard Pettersson, Douglas I. Benn, and Nick R. J. Hulton. In Geoscientific Instrumentation, Methods and Data Systems, volume 8, pp 113-127, 2019. (DOI, Fulltext, fulltext:print).
  297. Position: Wearable Polymorphic Light Sensors. Ambuj Varshney. In WEARSYS'19: Proceedings of the 5th acm workshop on wearable systems and applications, pp 37-38, Association for Computing Machinery (ACM), 2019. (DOI).
  298. TunnelScatter: Low Power Communication for Sensor Tags using Tunnel Diodes. Ambuj Varshney, Andreas Soleiman, and Thiemo Voigt. In MOBICOM'19: Proceedings Of The 25th Annual International Conference On Mobile Computing And Networking, 2019. (DOI, Fulltext, fulltext:print).
  299. Training-Free and Segmentation-Free Word Spotting using Feature Matching and Query Expansion. Ekta Vats, Anders Hast, and Alicia Fornés. In Proc. 15th International Conference on Document Analysis and Recognition, 2019. (External link).
  300. Metrics for Temporal Text Networks. Davide Vega and Matteo Magnani. In Temporal Network Theory, pp 147-160, Springer, 2019. (DOI, fulltext:preprint).
  301. Learning sparse graphs for prediction of multivariate data processes. Arun Venkitaraman and Dave Zachariah. In IEEE Signal Processing Letters, volume 26, number 3, pp 495-499, 2019. (DOI).
  302. A note on the estimation of real- and complex-valued parameters in frequency domain maximum likelihood identification. Dieter Verbeke, Torsten Söderström, and Umberto Soverini. In Automatica, volume 110, 2019. (DOI).
  303. Machine-Assisted Reformulation for MiniZinc. Huu-Phuc Vo. In , 2019. (fulltext:postprint).
  304. Towards Efficient Algorithms for Constraint Satisfaction Problems. Huu-Phuc Vo. In , 2019. (fulltext:postprint).
  305. Towards Efficient Solvers for Optimisation Problems. Huu-Phuc Vo. In Proc. 19th International Symposium on Cluster, Cloud and Grid Computing, IEEE-ACM International Symposium on Cluster Cloud and Grid Computing, pp 169-172, 2019. (DOI).
  306. LifeSec - Don’t Hack my Body. Thiemo Voigt, Robin Augustine, Noor Badariah Asan, Mauricio D. Perez, Anders Ahlén, André Teixeira, Sam Hylamia, Christian Rohner, Wenqing Yan, Laya Joseph, and Maria Mani. In , 2019.
  307. Tumor Sensing Privacy in In-Body Networks. Thiemo Voigt, Robin Augustine, Noor Badariah Asan, Mauricio D. Perez, Anders Ahlén, André Teixeira, Sam Hylamia, Christian Rohner, Wenqing Yan, Laya Joseph, and Maria Mani. In , 2019.
  308. Design and Dynamic Update of Real-Time Systems. Yi Wang. In 2019 IEEE 40TH REAL-TIME SYSTEMS SYMPOSIUM (RTSS 2019), Real-Time Systems Symposium-Proceedings, pp 1-3, Institute of Electrical and Electronics Engineers (IEEE), 2019. (DOI).
  309. What controls the initial peak of an air-gun source signature?. Leighton M. Watson, Jonatan Werpers, and Eric M. Dunham. In Geophysics, volume 84, number 2, pp P27-P45, 2019. (DOI).
  310. Correcting exorbitism by monobloc frontofacial advancement in Crouzon–Pfeiffer syndrome: An age-specific, time-related, controlled study. Benjamin L. M. Way, Roman H. Khonsari, Tharsika Karunakaran, Johan Nysjö, Ingela Nyström, David J. Dunaway, Robert D. Evans, Richard D. Hayward, and Jonathan A. Britto. In Plastic and reconstructive surgery (1963), volume 143, number 1, pp 121e-132e, 2019. (DOI).
  311. Towards automated multiscale Glomeruli detection and analysis in TEM by fusion of CNN and LBP maps. Elisabeth Wetzer, Joakim Lindblad, Ida-Maria Sintorn, Kjell Hultenby, and Natasa Sladoje. In 3rd NEUBIAS Conference, Luxembourg, 2019. (External link).
  312. Towards automated multiscale imaging and analysis in TEM: Glomerulus detection by fusion of CNN and LBP maps. Elisabeth Wetzer, Joakim Lindblad, Ida-Maria Sintorn, Kjell Hultenby, and Natasa Sladoje. In Computer Vision: ECCV 2018 Workshops, volume 11134 of Lecture Notes in Computer Sciences (LNCS), pp 465-475, Springer, Cham, 2019. (DOI, Conference website).
  313. Routing and wavelength assignment vs EDFA reliability performance in optical backbone networks: An operational cost perspective. Pawel Wiatr, Jiajia Chen, Paolo Monti, Lena Wosinska, and Di Yuan. In Optical Switching and Networkning Journal, volume 31, pp 211-217, 2019. (DOI).
  314. SimInf: An R package for data-driven stochastic disease spread simulations. Stefan Widgren, Pavol Bauer, Robin Eriksson, and Stefan Engblom. In Journal of Statistical Software, volume 91, number 12, pp 1-42, 2019. (DOI, Fulltext).
  315. SimInf for spatio-temporal data-driven modeling of African swine fever in Swedish wildboar. Stefan Widgren, Thomas Rosendal, Stefan Engblom, and Karl Ståhl. In GeoVet 2019: Novel spatio-temporal approaches in the era of Big Data, 2019. (DOI, Fulltext).
  316. Calibration tests in multi-class classification: A unifying framework. David Widmann, Fredrik Lindsten, and Dave Zachariah. In ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), volume 32 of Advances in Neural Information Processing Systems, NEURAL INFORMATION PROCESSING SYSTEMS (NIPS), 2019. (External link).
  317. Parameter elimination in particle Gibbs sampling. Anna Wigren, Riccardo Sven Risuleo, Lawrence Murray, and Fredrik Lindsten. In Advances in Neural Information Processing Systems 32 (NIPS 2019), volume 32 of Advances in Neural Information Processing Systems, Neural Information Processing Systems, 2019. (External link).
  318. A disturbance rejection and data rate trade-off in networked data flow control. Torbjörn Wigren. In European Journal of Control, volume 47, pp 1-10, 2019. (DOI).
  319. Learning based Word Search and Visualisation for Historical Manuscript Images. Tomas Wilkinson. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 1798, Acta Universitatis Upsaliensis, Uppsala, 2019. (fulltext, preview image).
  320. Smart computational exploration of stochastic gene regulatory network models using human-in-the-loop semi-supervised learning. Fredrik Wrede and Andreas Hellander. In Bioinformatics, volume 35, pp 5199-5206, 2019. (DOI).
  321. In situ quantification of individual mRNA transcripts in melanocytes discloses gene regulation of relevance to speciation. Chi-Chih Wu, Axel Klaesson, Julia Buskas, Petter Ranefall, Reza Mirzazadeh, Ola Söderberg, and Jochen B. W. Wolf. In Journal of Experimental Biology, volume 222, number 5, 2019. (DOI).
  322. Safeguarding 5G-and-Beyond Networks with Physical Layer Security. Yongpeng Wu, Trung Q. Duong, and A. Lee Swindlehurst. In IEEE wireless communications, volume 26, number 5, pp 4-5, Institute of Electrical and Electronics Engineers (IEEE), 2019. (DOI).
  323. Attractivity of the synchronous mode in hybrid observers for the impulsive Goodwin's oscillator subject to harmonic exogenous excitation. Diana Yamalova and Alexander Medvedev. In 2019 American Control Conference (ACC), Proceedings of the American Control Conference, pp 2334-2339, 2019. (DOI).
  324. Hybrid observers for systems with intrinsic pulse-modulated feedback. Diana Yamalova. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 1812, Acta Universitatis Upsaliensis, Uppsala, 2019. (fulltext, preview image).
  325. Nonlinear dynamics of a positive hybrid observer for the impulsive Goodwin's oscillator: a design study. Diana Yamalova, Alexander Medvedev, Zhanybai T. Zhusubaliyev, and Anton V. Proskurnikov. In 2019 IEEE 58th conference on decision and control (CDC), IEEE Conference on Decision and Control, pp 1893-1898, IEEE, 2019.
  326. Machine-Learning Based Active Measurement Proxy for IoT Systems. Wenqing Yan, Christofer Flinta, and Andreas Johnsson. In 2019 IFIP/IEEE Symposium On Integrated Network And Service Management (IM), pp 198-206, IEEE, 2019. (External link).
  327. Kankanet: An artificial neural network-based object detection smartphone application and mobile microscope as a point-of-care diagnostic aid for soil-transmitted helminthiases. Ariel Yang, Nahid Bakhtari, Liana Langdon-Embry, Emile Redwood, Simon Grandjean Lapierre, Patricia Rakotomanga, Armand Rafalimanantsoa, Juan De Dios Santos, Ines Vigan-Womas, Astrid M. Knoblauch, and Luis A. Marcos. In PLoS Neglected Tropical Diseases, volume 13, number 8, 2019. (DOI, Fulltext, fulltext:print).
  328. Tsunami Wavefield Reconstruction and Forecasting Using the Ensemble Kalman Filter. Yuyun Yang, Eric M. Dunham, Guillaume Barnier, and Martin Almquist. In Geophysical Research Letters, volume 46, number 2, pp 853-860, 2019. (DOI, External link).
  329. Hadamard Product Perspective on Source Resolvability of Spatial-smoothing-based Subspace Methods. Zai Yang and Petre Stoica. In 2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), International Conference on Acoustics Speech and Signal Processing ICASSP, pp 4135-4139, IEEE, 2019. (DOI).
  330. Source resolvability of spatial-smoothing-based subspace methods: A Hadamard product perspective. Zai Yang, Peter Stoica, and Jinhui Tang. In IEEE Transactions on Signal Processing, volume 67, number 10, pp 2543-2553, 2019. (DOI).
  331. EcoVibe: On-Demand Sensing for Railway Bridge Structural Health Monitoring. Liu Ye, Thiemo Voigt, Niklas Wirström, and Joel Höglund. In IEEE Internet of Things Journal, volume 6, number 1, pp 1068-1078, Institute of Electrical and Electronics Engineers (IEEE), 2019. (DOI, External link).
  332. Learning-Assisted Optimization for Energy-Efficient Scheduling in Deadline-Aware NOMA Systems. Lei You, Qing He, Thang X Vu, Symeon Chatzinotas, Di Yuan, and Björn Ottersten. In IEEE Transactions on Green Communications and Networking, volume 3, number 3, pp 615-627, Institute of Electrical and Electronics Engineers (IEEE), 2019. (DOI, External link).
  333. Network Optimization of Evolving Mobile Systems with Presence of Interference Coupling. Lei You. Ph.D. thesis, Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology nr 1843, Acta Universitatis Upsaliensis, Uppsala, 2019. (fulltext, preview image).
  334. Adaptive Fuzzy Game-based Energy Efficient Localization in Underwater Sensor Networks. Yali Yuan, Chencheng Liang, Megumi Kaneko, Lingjun Pu, and Xiaoming Fu. In Proceedings of the ACM SIGCOMM 2019 Conference Posters and Demos (SIGCOMM '19), pp 119-121, ASSOC COMPUTING MACHINERY, 2019. (DOI).
  335. Effect Inference From Two-Group Data With Sampling Bias. Dave Zachariah and Petre Stoica. In IEEE Signal Processing Letters, volume 26, number 8, pp 1103-1106, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019. (DOI).
  336. DuctTeip: An efficient programming model for distributed task-based parallel computing. Afshin Zafari, Elisabeth Larsson, and Martin Tillenius. In Parallel Computing, volume 90, 2019. (DOI, fulltext:postprint).
  337. Machine learning techniques for monitoring the sludge profile in a secondary settler tank. Jesús Zambrano, Oscar Samuelsson, and Bengt Carlsson. In Applied water science, volume 9, number 6, 2019. (DOI, Fulltext).
  338. Copying can be good: How instructors use imitation in teaching programming. Carol Zander, Anna Eckerdal, Robert McCartney, Jan Erik Moström, Kate Sanders, and Lynda Thomas. In Proc. 24th Conference on Innovation and Technology in Computer Science Education, pp 450-456, ACM Press, New York, 2019. (DOI).
  339. Inverse optimal control for discrete-time finite-horizon Linear Quadratic Regulators. Han Zhang, Jack Umenberger, and Xiaoming Hu. In Automatica, volume 110, 2019. (DOI).
  340. Visual Saliency: From Pixel-Level to Object-Level Analysis. Jianming Zhang, Filip Malmberg, and Stan Sclaroff. Springer, 2019. (DOI).
  341. Joint Resource Allocation for Latency-Sensitive Services Over Mobile Edge Computing Networks With Caching. Jiao Zhang, Xiping Hu, Zhaolong Ning, Edith Ngai, Li Zhou, Jibo Wei, Jun Cheng, Bin Hu, and Victor C. M. Leung. In IEEE Internet of Things Journal, volume 6, number 3, pp 4283-4294, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019. (DOI).
  342. Stochastic computation offloading and trajectory scheduling for UAV-assisted mobile edge computing. Jiao Zhang, Li Zhou, Qi Tang, Edith C.-H. Ngai, Xiping Hu, Haitao Zhao, and Jibo Wei. In IEEE Internet of Things Journal, volume 6, number 2, pp 3688-3699, 2019. (DOI).
  343. Announcement as effort on topological spaces. Hans van Ditmarsch, Sophia Knight, and Aybüke Özgün. In Synthese, volume 196, number 7, pp 2927-2969, 2019. (DOI, Fulltext).
  344. BENCHOP–SLV: The BENCHmarking project in Option Pricing – Stochastic and local volatility problems. Lina von Sydow, Slobodan Milovanovi?, Elisabeth Larsson, Karel In't Hout, Magnus Wiktorsson, Cornelis W. Oosterlee, Victor Shcherbakov, Maarten Wyns, Alvaro Leitao, Shashi Jain, Tinne Haentjens, and Johan Waldén. In International Journal of Computer Mathematics, volume 96, pp 1910-1923, 2019. (DOI, Fulltext).
  345. Progress Report: Exploring API Design for Capabilities for Programming with Arrays. Beatrice Åkerblom, Elias Castegren, and Tobias Wrigstad. In Proceedings Of The 12Th Workshop On Implementation, Compilation And Optimization Of Object-Oriented Languages, Programs And Systems (ICOOOLPS' 19), Association for Computing Machinery (ACM), New York, 2019. (DOI).
  346. Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information. Johan Öfverstedt, Joakim Lindblad, and Natasa Sladoje. In IEEE Transactions on Image Processing, volume 28, number 7, pp 3584-3597, IEEE, 2019. (DOI, Fulltext, fulltext:print).
  347. Robust Symmetric Affine Image Registration. Johan Öfverstedt, Joakim Lindblad, and Natasa Sladoje. In Swedish Symposium on Image Analysis, 2019. (External link).
  348. Stochastic Distance Functions with Applications in Object Detection and Image Segmentation. Johan Öfverstedt, Joakim Lindblad, and Natasa Sladoje. In Swedish Symposium on Image Analysis, 2019. (External link).
  349. Stochastic Distance Transform. Johan Öfverstedt, Joakim Lindblad, and Natasa Sladoje. In Discrete Geometry for Computer Imagery, volume 11414 of Lecture Notes in Computer Science, pp 75-86, Springer, 2019. (DOI, External link).

Updated  2019-12-16 12:39:14 by Kurt Otto.