CST Publications

CST's 50 Most Recent Publications

X. Aguilar, "Performance Monitoring, Analysis, and Real-Time Introspection on Large-Scale Parallel Systems," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2020:1, 2020.
O. O. Özcan et al., "Differential Coding Strategies in Glutamatergic and GABAergic Neurons in the Medial Cerebellar Nucleus," Journal of Neuroscience, vol. 40, no. 1, pp. 159-170, 2020.
L. Finnveden, Y. Jansson and T. Lindeberg, "The problems with using STNs to align CNN feature maps," in Northern Lights Deep Learning Workshop 2020, Tromsø, Norway, 20-21 Jan 2020, 2020.
T. Lindeberg, "Scale selection," in Computer Vision : A Reference Guide, 2nd ed. : Springer, 2020.
E. Brocke, "Method development for co-simulation of electrical-chemical systems in Neuroscience," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2020:9, 2020.
T. Lindeberg, "Provably scale-covariant continuous hierarchical networks based on scale-normalized differential expressions coupled in cascade," Journal of Mathematical Imaging and Vision, vol. 62, no. 1, pp. 120-148, 2020.
M. Mohagheghi Nejad, "Interaction of sensory and motor signals in the basal ganglia in health and disease," Doctoral thesis Stockholm : Kungliga Tekniska högskolan, TRITA-EECS-AVL, 2019:12, 2019.
C.-Y. Gao et al., "DCA for genome-wide epistasis analysis : the statistical genetics perspective," Physical Biology, vol. 16, no. 2, 2019.
W. Köpp and T. Weinkauf, "Temporal Treemaps: Static Visualization of Evolving Trees," IEEE Transactions on Visualization and Computer Graphics, vol. 25, no. 1, pp. 534-543, 2019.
M. Wiesenberger et al., "Reproducibility, accuracy and performance of the FELTOR code and library on parallel computer architectures," Computer Physics Communications, vol. 238, pp. 145-156, 2019.
K. T. Blackwell et al., "Molecular mechanisms underlying striatal synaptic plasticity : relevance chronic alcohol consumption and seeking," European Journal of Neuroscience, vol. 49, no. 6, pp. 768-783, 2019.
G. H. Galal-Edeen et al., "HCI of Arabia : The challenges of HCI research in Egypt," interactions, vol. 26, no. 3, pp. 55-59, 2019.
L. Orellana et al., "Oncogenic mutations at the EGFR ectodomain structurally converge to remove a steric hindrance on a kinase-coupled cryptic epitope," Proceedings of the National Academy of Sciences of the United States of America, vol. 116, no. 20, pp. 10009-10018, 2019.
G. Hahn et al., "Portraits of communication in neuronal networks," Nature Reviews Neuroscience, vol. 20, no. 2, pp. 117-127, 2019.
S. Narasimhamurthy et al., "SAGE : Percipient Storage for Exascale Data Centric Computing," Parallel Computing, vol. 83, pp. 22-33, 2019.
T. Lindeberg, "Provably scale-covariant networks from oriented quasi quadrature measures in cascade," in Scale Space and Variational Methods in Computer Vision, 2019, pp. 328-340.
C. Simmendinger et al., "Interoperability strategies for GASPI and MPI in large-scale scientific applications," The international journal of high performance computing applications, vol. 33, no. 3, pp. 554-568, 2019.
F. Mirus et al., "Predicting vehicle behaviour using LSTMs and a vector power representation for spatial positions," in ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2019, pp. 113-118.
E. Wärnberg and A. Kumar, "Perturbing low dimensional activity manifolds in spiking neuronal networks," PloS Computational Biology, vol. 15, no. 5, 2019.
H. Zhou et al., "Embedded Kinetic Simulation of Ganymede's Magnetosphere : Improvements and Inferences," Journal of Geophysical Research - Space Physics, vol. 124, no. 7, pp. 5441-5460, 2019.
F. Mirus, B. Zorn and J. Conradt, "Short-term trajectory planning using reinforcement learning within a neuromorphic control architecture," in ESANN 2019 - Proceedings, 27th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, 2019, pp. 649-654.
R. H. Martinez Mayorquin, A. Lansner and P. Herman, "Probabilistic associative learning suffices for learning the temporal structure of multiple sequences," PLoS ONE, vol. 14, no. 8, 2019.
R. Iakymchuk et al., "Hierarchical approach for deriving a reproducible unblocked LU factorization," The international journal of high performance computing applications, vol. 33, no. 5, pp. 791-803, 2019.
S. Aronsson et al., "Supporting after action review in simulator mission training : Co-creating visualization concepts for training of fast-jet fighter pilots," The Journal of Defence Modeling and Simulation : Applications, Methodology, Technology, vol. 16, no. 3, pp. 219-231, 2019.
L. Orellana et al., "eBDIMS server : protein transition pathways with ensemble analysis in 2D-motion spaces," Bioinformatics, vol. 35, no. 18, pp. 3505-3507, 2019.
I. B. Peng et al., "Analyzing the Suitability of Contemporary 3D-Stacked PIM Architectures for HPC Scientific Applications," in CF '19 - PROCEEDINGS OF THE 16TH ACM INTERNATIONAL CONFERENCE ON COMPUTING FRONTIERS, 2019, pp. 256-262.
X. Aguilar et al., "An On-Line Performance Introspection Framework for Task-Based Runtime Systems," in 19th International Conference on Computational Science, ICCS 2019, 2019, pp. 238-252.
S. Rivas Gomez et al., "Decoupled Strategy for Imbalanced Workloads in MapReduce Frameworks," in Proceedings - 20th International Conference on High Performance Computing and Communications, 16th International Conference on Smart City and 4th International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2018, 2019, pp. 921-927.
Van D. Nguyen et al., "Direct Finite Element Simulation of the Turbulent Flow Past a Vertical Axis Wind Turbine," Renewable energy, vol. 135, pp. 238-247, 2019.
S. Rivas-Gomez, "High-Performance I/O Programming Models for Exascale Computing," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2019:77, 2019.
H. Saikia, F. Yang and C. Peters, "Priority driven Local Optimization for Crowd Simulation," in AAMAS '19 : PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, 2019, pp. 2180-2182.
L. Ahmed, "Scalable Analysis of Large Datasets in Life Sciences," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2019:69, 2019.
C. P. Sishtla et al., "Particle-in-Cell Simulations of Plasma Dynamics in Cometary Environment," in Journal of Physics : Conference Series, 2019.
S. Rivas-Gomez et al., "uMMAP-IO: User-level Memory-mapped I/O for HPC," in Proceedings of the 26th IEEE International Conference on High-Performance Computing, Data, and Analytics (HiPC'19),, 2019.
Van D. Nguyen, "High Performance Finite Element Methods with Application to Simulation of Vertical Axis Wind Turbines and Diffusion MRI," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2019:76, 2019.
A. Petras et al., "A computational model of open-irrigated radiofrequency catheter ablation accounting for mechanical properties of the cardiac tissue," International Journal for Numerical Methods in Biomedical Engineering, 2019.
Van D. Nguyen et al., "Portable simulation framework for diffusion MRI," Journal of magnetic resonance, vol. 309, 2019.
A. Petras et al., "Tissue Drives Lesion : Computational Evidence of Interspecies Variability in Cardiac Radiofrequency Ablation," in FUNCTIONAL IMAGING AND MODELING OF THE HEART, FIMH 2019, 2019, pp. 139-146.
M. Filipović, "Characterisation of inputs and outputs of striatal medium spiny neurons in health and disease," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2019:86, 2019.
F. Wendt et al., "Ocean Energy Systems Wave Energy Modelling Task : Modelling, Verification and Validation of Wave Energy Converters," Journal of Marine Science and Engineering, vol. 7, no. 11, 2019.
D. Natesan et al., "Tuneable reflexes control antennal positioning in flying hawkmoths," Nature Communications, vol. 10, 2019.
N. Chrysanthidis, F. Fiebig and A. Lansner, "Introducing double bouquet cells into a modular cortical associative memory model," Journal of Computational Neuroscience, vol. 47, no. 2-3, pp. 223-230, 2019.
M. Wallden et al., "Memory Efficient Load Balancing for Distributed Large-Scale Volume Rendering Using a Two-Layered Group Structure," IEICE transactions on information and systems, vol. E102D, no. 12, pp. 2306-2316, 2019.
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Belongs to: Computational Science and Technology
Last changed: Feb 17, 2020