Publikationer
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Publikationer
[1]
F. S. Samani et al.,
"Comparing Transfer Learning and Rollout for Policy Adaptation in a Changing Network Environment,"
i Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024, NOMS 2024, 2024.
[2]
M. Polverini et al.,
"Achieving Best-path Selection at Line Rate through the SRv6 Live-Live Behavior,"
i Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024, NOMS 2024, 2024.
[3]
E. Kennerland, B. Lindoff och E. Björnson,
"Analysis of Quantization Noise Suppression Gains in Digital Phased Arrays,"
i 2024 IEEE Wireless Communications and Networking Conference, WCNC 2024 - Proceedings, 2024.
[4]
P. R. Hegde et al.,
"Beyond the Buzz : Strategic Paths for Enabling Useful NISQ Applications,"
i Proceedings of the 21st ACM International Conference on Computing Frontiers, CF 2024, 2024, s. 310-313.
[5]
R. Glassey och A. Baltatzis,
"Active Repos : Integrating Generative AI Workflows into GitHub,"
i ITiCSE 2024 - Proceedings of the 2024 Conference Innovation and Technology in Computer Science Education, 2024, s. 777-778.
[6]
S. G. E. Gökstorp et al.,
"Anomaly Detection in Security Logs using Sequence Modeling,"
i Proceedings of IEEE/IFIP Network Operations and Management Symposium 2024, NOMS 2024, 2024.
[7]
M. Lundqvist et al.,
"Beta : bursts of cognition,"
Trends in cognitive sciences, vol. 28, no. 7, s. 662-676, 2024.
[8]
J. Striegl et al.,
"Deep learning-based dimensional emotion recognition for conversational agent-based cognitive behavioral therapy,"
PeerJ Computer Science, vol. 10, 2024.
[9]
S. Fowler et al.,
"Behavioural Types for Heterogeneous Systems (Position Paper),"
i Proceedings - 15th Workshop on Programming Language Approaches to Concurrency and Communication-cEntric Software, PLACES 2024, 2024, s. 37-48.
[10]
J. P. Huix et al.,
"Are Natural Domain Foundation Models Useful for Medical Image Classification?,"
i Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024, 2024, s. 7619-7628.
[11]
A. Q. Khan et al.,
"A Taxonomy for Cloud Storage Cost,"
i Management of Digital EcoSystems - 15th International Conference, MEDES 2023, Revised Selected Papers, 2024, s. 317-330.
[12]
J. Lindén et al.,
"Autonomous Realization of Safety- and Time-Critical Embedded Artificial Intelligence,"
i 2024 Design, Automation and Test in Europe Conference and Exhibition, DATE 2024 - Proceedings, 2024.
[13]
Y. Khorsandmanesh et al.,
"Beam Coherence Time Analysis for Mobile Wideband mmWave Point-to-Point MIMO Channels,"
IEEE Wireless Communications Letters, vol. 13, no. 6, s. 1546-1550, 2024.
[14]
C. Linse och J. Lilliesköld,
"Agile Transformation to an Agile Organization : A new form of organizing R&D,"
i R&D Management 2024 : Transforming Industries through Technology, 2024.
[15]
I. Bercea, J. B. Tejs Houen och R. Pagh,
"Daisy Bloom Filters,"
i 19th Scandinavian Symposium on Algorithm Theory, SWAT 2024, 2024.
[16]
A. Manzoor et al.,
"Combined Airspace and Non-Terrestrial 6G Networks for Advanced Air Mobility,"
i 20th International Conference on the Design of Reliable Communication Networks, DRCN 2024, 2024, s. 47-53.
[17]
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.
[18]
A. Q. Khan et al.,
"Cloud storage cost: a taxonomy and survey,"
World wide web (Bussum), vol. 27, no. 4, 2024.
[19]
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.
[20]
T. Lanciano et al.,
"A Survey on the Densest Subgraph Problem and its Variants,"
ACM Computing Surveys, vol. 56, no. 8, 2024.
[21]
S. Kurt et al.,
"CopyVAE: a variational autoencoder-based approach for copy number variation inference using single-cell transcriptomics,"
Bioinformatics, vol. 40, no. 5, 2024.
[22]
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.
[23]
[24]
F. S. Samani och R. Stadler,
"A Framework for dynamically meeting performance objectives on a service mesh,"
(Manuskript).
[25]
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.
[26]
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.
[27]
Z. Liao et al.,
"A Bibliometric Analysis of Scientific Publications on Eating Disorder Prevention in the Past Three Decades,"
Nutrients, vol. 16, no. 8, 2024.
[28]
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.
[29]
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.
[30]
J. Fredin Haslum et al.,
"Cell Painting-based bioactivity prediction boosts high-throughput screening hit-rates and compound diversity,"
Nature Communications, vol. 15, no. 1, 2024.
[31]
[32]
J. Pedersen, J. Conradt och T. Lindeberg,
"Covariant spatio-temporal receptive fields for neuromorphic computing,"
, 2024.
[33]
C. Matsoukas,
"Artificial Intelligence for Medical Image Analysis with Limited Data,"
Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:48, 2024.
[34]
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.
[35]
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.
[36]
C. Jiao, J. Liao och S. He,
"An aberration-free line scan confocal Raman imager and type classification and distribution detection of microplastics,"
Journal of Hazardous Materials, vol. 470, 2024.
[37]
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.
[38]
D. Gurgunoglu och E. Björnson,
"Combating Inter-Operator Pilot Contamination in Reconfigurable Intelligent Surfaces Assisted Multi-Operator Networks,"
IEEE Transactions on Communications, 2024.
[39]
F. Heiding et al.,
"Devising and Detecting Phishing Emails Using Large Language Models,"
IEEE Access, vol. 12, s. 42131-42146, 2024.
[40]
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.
[41]
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.
[42]
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.
[43]
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.
[44]
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.
[45]
C. Lidström,
"Automated Deductive Verification of Safety-Critical Embedded Software,"
Doktorsavhandling Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:17, 2024.
[46]
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.
[47]
C. A., I. Akerlund et al.,
"Clinical descriptors of disease trajectories in patients with traumatic brain injury in the intensive care unit (CENTER-TBI) : a multicentre observational cohort study,"
Lancet Neurology, vol. 23, no. 1, s. 71-80, 2024.
[48]
M. A. Cenci och A. Kumar,
"Cells, pathways, and models in dyskinesia research,"
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.