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CST Publications

CST's 50 Most Recent Publications

[1]
F. Mallor et al., "In-Situ Analysis of Backflow Events and Their Relation to Separation in Wings Through Well-Resolved LES," in ERCOFTAC Series, : Springer Science and Business Media B.V., 2024, pp. 17-22.
[2]
P. Verzelli, T. Tchumatchenko and J. Hellgren Kotaleski, "Editorial overview : Computational neuroscience as a bridge between artificial intelligence, modeling and data," Current Opinion in Neurobiology, vol. 84, 2024.
[3]
Y. Liu, "Breast cancer risk assessment and detection in mammograms with artificial intelligence," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:2, 2024.
[5]
M. A. Cenci and A. Kumar, "Cells, pathways, and models in dyskinesia research," Current Opinion in Neurobiology, vol. 84, 2024.
[6]
S. Zojaji, "Embodying Politeness in Persuasive Humanoid Agents for Small Group Scenarios," Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:14, 2024.
[7]
J. E. Mold et al., "Clonally heritable gene expression imparts a layer of diversity within cell types," Cell systems, vol. 15, no. 2, pp. 149, 2024.
[10]
J. Xu et al., "Modeling Cycle-to-Cycle Variation in Memristors for In-Situ Unsupervised Trace-STDP Learning," IEEE Transactions on Circuits and Systems - II - Express Briefs, vol. 71, no. 2, pp. 627-631, 2024.
[11]
N. Jansson et al., "Neko: A modern, portable, and scalable framework for high-fidelity computational fluid dynamics," Computers & Fluids, vol. 275, pp. 106243-106243, 2024.
[12]
F. Liu, "High Performance Computing for the Optimization of Radiation Therapy Treatment Plans," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:35, 2024.
[14]
J. Pedersen, J. Conradt and T. Lindeberg, "Covariant spatio-temporal receptive fields for neuromorphic computing," , 2024.
[15]
A. Buwaider et al., "Extended reality in cranial and spinal neurosurgery – a bibliometric analysis," Acta Neurochirurgica, vol. 166, no. 1, 2024.
[16]
C. Matsoukas, "Artificial Intelligence for Medical Image Analysis with Limited Data," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:48, 2024.
[17]
M. Karp, "Direct Numerical Simulation of Turbulence on Heterogenous Computer Systems : Architectures, Algorithms, and Applications," Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:36, 2024.
[18]
[19]
H. Koptagel et al., "Scuphr: A probabilistic framework for cell lineage tree reconstruction," PloS Computational Biology, vol. 20, no. 5 May, 2024.
[22]
J. Fredin Haslum, "Machine Learning Methods for Image-based Phenotypic Profiling in Early Drug Discovery," Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:53, 2024.
[24]
O. Kviman et al., "Variational Resampling," in Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, AISTATS 2024, 2024, pp. 3286-3294.
[25]
A. Hotti, L. Van der Goten and J. Lagergren, "Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds," in Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, AISTATS 2024, 2024, pp. 3538-3546.
[26]
A. Iop et al., "Exploring the Influence of Object Shapes and Colors on Depth Perception in Virtual Reality for Minimally Invasive Neurosurgical Training," in CHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems, 2024.
[27]
C. Schagerholm et al., "PIK3CA mutations in endocrine-resistant breast cancer," Scientific Reports, vol. 14, no. 1, pp. 12542, 2024.
[28]
H. Melin et al., "VICTree - A Variational Inference Method for Clonal Tree Reconstruction," in Research in Computational Molecular Biology : 28th Annual International Conference, RECOMB 2024, Proceedings, 2024, pp. 429-433.
[30]
S. Zojaji et al., "Join Me Here if You Will : Investigating Embodiment and Politeness Behaviors When Joining Small Groups of Humans, Robots, and Virtual Characters," in CHI Conference on Human Factors in Computing Systems (CHI ’24), Oʻahu, Hawaii, USA, 11-16 May 2024, 2024.
[31]
S. Markidis, "What is Quantum Parallelism, Anyhow?," in Research Paper Proceedings of the ISC High Performance 2024, 2024.
[34]
D. Shi et al., "Understanding and Automating Graphical Annotations on Animated Scatterplots," in Proceedings - 2024 IEEE 17th Pacific Visualization Conference, PacificVis 2024, 2024, pp. 212-221.
[36]
T. Stojanovski and D. Adams, "Urban morphology, smart sustainability and space colonization," Urban morphology, vol. 28, no. 1, pp. 84-92, 2024.
[37]
J. Fredin Haslum et al., "Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation," in Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2024,, 2024, pp. 7723-7732.
[39]
J. P. Huix et al., "Are Natural Domain Foundation Models Useful for Medical Image Classification?," in Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024, 2024, pp. 7619-7628.
[40]
M. Lundqvist et al., "Beta : bursts of cognition," Trends in cognitive sciences, vol. 28, no. 7, pp. 662-676, 2024.
[42]
D. Wang et al., "FPGA-Based HPC for Associative Memory System," in 29TH ASIA AND SOUTH PACIFIC DESIGN AUTOMATION CONFERENCE, ASP-DAC 2024, 2024, pp. 52-57.
[43]
J. J. Williams et al., "Understanding the Impact of openPMD on BIT1, a Particle-in-Cell Monte Carlo Code, through Instrumentation, Monitoring, and In-Situ Analysis," in Euro-Par 2024: Parallel Processing Workshops: Euro-Par 2024 International Workshops, August 26–30, Madrid, Spain, 2024.
[44]
J. J. Williams et al., "Understanding Large-Scale Plasma Simulation Challenges for Fusion Energy on Supercomputers," in 50th European Physical Society Conference on Plasma Physics, Magnetic Confinement Fusion Plasma, P2-097, July 8-12, Salamanca, Spain, 2024.
[45]
J. J. Williams et al., "Enabling High-Throughput Parallel I/O in Particle-in-Cell Monte Carlo Simulations with openPMD and Darshan I/O Monitoring," in 2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops), September 24-27, Kobe, Japan, 2024.
[46]
A. Srinivasan, "Counterfactual Explanation for Auto-Encoder Based Time-Series Anomaly Detection," in Vol. 8 No. 1 (2024): Proceedings of the European Conference of the PHM Society 2024, 2024.
[48]
T. Westin et al., "An extended reality platform for inclusion of adults on the autism spectrum: A position paper," in 15th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2024 / The 7th International Conference on Emerging Data and Industry 4.0, EDI40 2024, 2024, pp. 476-483.
[49]
C. Coti et al., "Integration of Modern HPC Performance Tools in Vlasiator for Exascale Analysis and Optimization," in IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), May 27-31, San Francisco, California, USA., 2024.
[50]
D. Araújo De Medeiros et al., "IO-SEA: Storage I/O and Data Management for Exascale Architectures," in Proceedings of the 21st ACM International Conference on Computing Frontiers 2024 Workshops and Special Sessions, CF 2024 Companion, 2024, pp. 94-100.
Full list in the KTH publications portal