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Publikationer

Här nedan följer de 50 senaste publikationerna på institutionen för Datavetenskap.

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Publikationer

[1]
L. Oettershagen, H. Wang och A. Gionis, "Finding Densest Subgraphs with Edge-Color Constraints," i WWW 2024 - Proceedings of the ACM Web Conference, 2024, s. 936-947.
[2]
M. Andersson, F. Liu och S. Markidis, "Anderson Accelerated PMHSS for Complex-Symmetric Linear Systems," i 2024 SIAM Conference on Parallel Processing for Scientific Computing, PP 2024, 2024, s. 39-51.
[3]
A. Iop et al., "Exploring the Influence of Object Shapes and Colors on Depth Perception in Virtual Reality for Minimally Invasive Neurosurgical Training," i CHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems, 2024.
[4]
A. Q. Khan et al., "Cloud storage cost: a taxonomy and survey," World wide web (Bussum), vol. 27, no. 4, 2024.
[5]
A. Hotti, L. Van der Goten och J. Lagergren, "Benefits of Non-Linear Scale Parameterizations in Black Box Variational Inference through Smoothness Results and Gradient Variance Bounds," i Proceedings of the 27th International Conference on Artificial Intelligence and Statistics, AISTATS 2024, 2024, s. 3538-3546.
[6]
T. Lanciano et al., "A Survey on the Densest Subgraph Problem and its Variants," ACM Computing Surveys, vol. 56, no. 8, 2024.
[8]
F. Shahabsamani, "End-to-end performance prediction and automated resource management of cloud services," Doktorsavhandling : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:42, 2024.
[9]
F. S. Shahabsamani et al., "Comparing Transfer Learning and Rollout for Policy Adaptation in a Changing Network Environment," i IEEE/IFIP Network Operations and Management Symposium 6–10 May 2024 Seoul, South Korea, 2024.
[12]
J. Fredin Haslum et al., "Bridging Generalization Gaps in High Content Imaging Through Online Self-Supervised Domain Adaptation," i Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2024,, 2024, s. 7723-7732.
[13]
O. Kynman et al., "Analysis and Measurement of Key Performance Indicators for MIMO Antennas," i 18th European Conference on Antennas and Propagation, EuCAP 2024, 2024.
[15]
H. Boström, "Example-Based Explanations of Random Forest Predictions," i Advances in Intelligent Data Analysis XXII - 22nd International Symposium on Intelligent Data Analysis, IDA 2024, Proceedings, 2024, s. 185-196.
[16]
G. Schieffer et al., "Boosting the Performance of Object Tracking with a Half-Precision Particle Filter on GPU," i Euro-Par 2023: Parallel Processing Workshops - Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 – September 1, 2023, Revised Selected Papers, 2024, s. 294-305.
[17]
H. Ghasemirahni et al., "Deploying Stateful Network Functions Efficiently using Large Language Models," i EuroMLSys 2024 - Proceedings of the 2024 4th Workshop on Machine Learning and Systems, 2024, s. 28-38.
[18]
[20]
A. Buwaider et al., "Extended reality in cranial and spinal neurosurgery – a bibliometric analysis," Acta Neurochirurgica, vol. 166, no. 1, 2024.
[22]
J. Pedersen, J. Conradt och T. Lindeberg, "Covariant spatio-temporal receptive fields for neuromorphic computing," , 2024.
[23]
C. Matsoukas, "Artificial Intelligence for Medical Image Analysis with Limited Data," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:48, 2024.
[24]
S.-F. Horchidan et al., "Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems," i Advances in Database Technology - EDBT, 2024, s. 676-689.
[25]
Y. K. Tun et al., "Collaborative Computing Services at Ground, Air, and Space : An Optimization Approach," IEEE Transactions on Vehicular Technology, vol. 73, no. 1, s. 1491-1496, 2024.
[26]
T. Lindeberg, "Discrete approximations of Gaussian smoothing and Gaussian derivatives," Journal of Mathematical Imaging and Vision, 2024.
[27]
M. Karp, "Direct Numerical Simulation of Turbulence on Heterogenous Computer Systems : Architectures, Algorithms, and Applications," Doktorsavhandling Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:36, 2024.
[28]
[29]
S. Ennadir et al., "A Simple and Yet Fairly Effective Defense for Graph Neural Networks," i AAAI Technical Track on Safe, Robust and Responsible AI Track, 2024, s. 21063-21071.
[30]
[31]
A. Rauniyar et al., "Federated Learning for Medical Applications : A Taxonomy, Current Trends, Challenges, and Future Research Directions," IEEE Internet of Things Journal, vol. 11, no. 5, s. 7374-7398, 2024.
[32]
F. Heiding et al., "Devising and Detecting Phishing Emails Using Large Language Models," IEEE Access, vol. 12, s. 42131-42146, 2024.
[33]
J.-H. Kim et al., "An NN-Aided Near-and-Far-Field Classifier via Channel Hankelization in XL-MIMO Systems," IEEE Access, vol. 12, s. 41934-41941, 2024.
[34]
J.-Y. Jeong, M. Özger och W.-H. Lee, "Compressed Sensing Verses Auto-Encoder : On the Perspective of Signal Compression and Restoration," IEEE Access, vol. 12, s. 41967-41979, 2024.
[36]
A. Hasselberg et al., "Cliffhanger : An Experimental Evaluation of Stateful Serverless at the Edge," i 2024 19th Wireless On-Demand Network Systems and Services Conference, 2024, s. 41-48.
[37]
E. Shereen, K. Kazari och G. Dán, "A Reinforcement Learning Approach to Undetectable Attacks Against Automatic Generation Control," IEEE Transactions on Smart Grid, vol. 15, no. 1, s. 959-972, 2024.
[39]
S. Zojaji, A. Matviienko och C. Peters, "Exploring the Influence of Co-Present and Remote Robots on Persuasiveness and Perception of Politeness," i HRI '24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024, s. 1204-1208.
[40]
J. E. Mold et al., "Clonally heritable gene expression imparts a layer of diversity within cell types," Cell systems, vol. 15, no. 2, s. 149, 2024.
[41]
D. Massaro et al., "Direct numerical simulation of the turbulent flow around a Flettner rotor," Scientific Reports, vol. 14, no. 1, 2024.
[42]
C. Lidström, "Automated Deductive Verification of Safety-Critical Embedded Software," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:17, 2024.
[43]
J. Amilon et al., "An Exercise in Mind Reading: Automatic Contract Inference for Frama-C," i Guide to Software Verification with Frama-C: Core Components, Usages, and Applications, : Springer Nature, 2024.
[44]
S. Katsikeas et al., "Empirical evaluation of a threat modeling language as a cybersecurity assessment tool," Computers & security (Print), vol. 140, 2024.
[45]
S. Zojaji, "Embodying Politeness in Persuasive Humanoid Agents for Small Group Scenarios," Doktorsavhandling Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:14, 2024.
[47]
M. A. Cenci och A. Kumar, "Cells, pathways, and models in dyskinesia research," Current Opinion in Neurobiology, vol. 84, 2024.
[48]
P. Verzelli, T. Tchumatchenko och J. Hellgren Kotaleski, "Editorial overview : Computational neuroscience as a bridge between artificial intelligence, modeling and data," Current Opinion in Neurobiology, vol. 84, 2024.
[49]
F. J. Pena et al., "DEEPAQUA : Semantic segmentation of wetland water surfaces with SAR imagery using deep neural networks without manually annotated data," International Journal of Applied Earth Observation and Geoinformation, vol. 126, 2024.
[50]
Y. Liu, "Breast cancer risk assessment and detection in mammograms with artificial intelligence," Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:2, 2024.