Publications
Here is the 50 latest publications at Department of Computer Science.
Below you will find the 50 latest publications at Department of Computer Science,
for a complete list use the
link to DiVA
.
Publications CS
[1]
J. M. Kunkel et al.,
"DECICE : Device-Edge-Cloud Intelligent Collaboration Framework,"
in Proceedings of the 20th ACM International Conference on Computing Frontiers 2023, CF 2023, 2023, pp. 266-271.
[2]
A. Layegh et al.,
"ContrastNER : Contrastive-based Prompt Tuning for Few-shot NER,"
in Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023, 2023, pp. 241-249.
[3]
Y. Zhang et al.,
"A GPU-based computational framework that bridges neuron simulation and artificial intelligence,"
Nature Communications, vol. 14, no. 1, 2023.
[4]
J. Amilon et al.,
"Automatic Program Instrumentation for Automatic Verification,"
in Computer Aided Verification : 35th International Conference, CAV 2023, Proceedings, 2023, pp. 281-304.
[5]
G. Tu, Y. Liu and V. Vlassov,
"AIC-AB NET : A Neural Network for Image Captioning with Spatial Attention and Text Attributes,"
(Manuscript).
[6]
[7]
K. Kim et al.,
"Deep Reinforcement Learning for Channel Estimation in RIS-Aided Wireless Networks,"
IEEE Communications Letters, vol. 27, no. 8, pp. 2053-2057, 2023.
[8]
M. Zaher, E. Björnson and M. Petrova,
"A Bayesian Approach to Characterize Unknown Interference Power in Wireless Networks,"
IEEE Wireless Communications Letters, vol. 12, no. 8, pp. 1374-1378, 2023.
[9]
M. Ozger et al.,
"6G for Connected Sky : A Vision for Integrating Terrestrial and Non-Terrestrial Networks,"
in 2023 Joint European Conference on Networks and Communications and 6G Summit, EuCNC/6G Summit 2023, 2023, pp. 711-716.
[10]
[11]
J. Spoerhase et al.,
"A Constant-Factor Approximation Algorithm for Reconciliation k-Median,"
in Proceedings of the 26th International Conference on Artificial Intelligence and Statistics, AISTATS 2023, 2023, pp. 1719-1746.
[12]
K. Hammar and R. Stadler,
"Digital Twins for Security Automation,"
in Proceedings of IEEE/IFIP Network Operations and Management Symposium 2023, NOMS 2023, 2023.
[13]
F. S. Samani, K. Hammar and R. Stadler,
"Demonstrating a System for Dynamically Meeting Management Objectives on a Service Mesh,"
in Proceedings of IEEE/IFIP Network Operations and Management Symposium 2023, NOMS 2023, 2023.
[14]
P. S. Aung et al.,
"Deep Reinforcement Learning based Spectral Efficiency Maximization in STAR-RIS-Assisted Indoor Outdoor Communication,"
in Proceedings of IEEE/IFIP Network Operations and Management Symposium 2023, NOMS 2023, 2023.
[15]
C. Lidström and D. Gurov,
"Contract Based Embedded Software Design,"
in Theoretical Aspects of Software Engineering - 17th International Symposium, TASE 2023, Proceedings, 2023, pp. 77-94.
[16]
F. Liljeblad, J. Lilliesköld and E. Hetemi,
"Digitalization in an academic organization : Insights from a case study at a Swedish university,"
in European Academy of Management Conference (EURAM) 2023, Dublin, Ireland, 14-16 June 2023, 2023.
[17]
L. Guo,
"Cortical Pyramidal and Parvalbumin Cells Exhibit Distinct Spatiotemporal Extracellular Electric Potentials,"
eNeuro, vol. 10, no. 7, 2023.
[18]
P. Helson et al.,
"Cortex-wide topography of 1/f-exponent in Parkinson's disease,"
NPJ PARKINSONS DISEASE, vol. 9, no. 1, 2023.
[19]
K. T. Foerster et al.,
"Analyzing the Communication Clusters in Datacenters,"
in ACM Web Conference 2023 : Proceedings of the World Wide Web Conference, WWW 2023, 2023, pp. 3022-3032.
[20]
J. Pedersen and J. Conradt,
"AEStream : Accelerated event-based processing with coroutines,"
in Proceedings of the 2023 Annual Neuro-Inspired Computational Elements Conference, NICE 2023, 2023, pp. 86-91.
[21]
B. Carminati and L. Bahri,
"Cyber Pandemics,"
IEEE Internet Computing, vol. 27, no. 2, pp. 5-6, 2023.
[22]
L. X. Nguyen et al.,
"Dependency Tasks Offloading and Communication Resource Allocation in Collaborative UAV Networks : A Metaheuristic Approach,"
IEEE Internet of Things Journal, vol. 10, no. 10, pp. 9062-9076, 2023.
[23]
E. Listo Zec et al.,
"Decentralized Adaptive Clustering of Deep Nets is Beneficial for Client Collaboration,"
in FL 2022 : Trustworthy Federated Learning, 2023, pp. 59-71.
[24]
N. B. Ravichandran, A. Lansner and P. Herman,
"Brain-like Combination of Feedforward and Recurrent Network Components Achieves Prototype Extraction and Robust Pattern Recognition,"
in Lecture Notes in Computer Science, 2023, pp. 488-501.
[25]
M. Lenninger et al.,
"Are single-peaked tuning curves tuned for speed rather than accuracy?,"
eLIFE, vol. 12, 2023.
[26]
M. Isaksson et al.,
"Adaptive Expert Models for Federated Learning,"
in Trustworthy Federated Learning : First International Workshop, FL 2022, 2023, pp. 1-16.
[27]
X. Chen et al.,
"Breast cancer patient-derived whole-tumor cell culture model for efficient drug profiling and treatment response prediction,"
Proceedings of the National Academy of Sciences of the United States of America, vol. 120, no. 1, 2023.
[28]
A. Geras et al.,
"Celloscope : a probabilistic model for marker-gene-driven cell type deconvolution in spatial transcriptomics data,"
Genome Biology, vol. 24, no. 1, 2023.
[29]
M. Ganjalizadeh,
"Device Selection for the Coexistence of URLLC and Distributed Learning Services,"
, 2023.
[30]
Y. Xu et al.,
"Distributed Assignment With Load Balancing for DNN Inference at the Edge,"
IEEE Internet of Things Journal, vol. 10, no. 2, pp. 1053-1065, 2023.
[31]
T. Lindeberg,
"Covariance properties under natural image transformations for the generalized Gaussian derivative model for visual receptive fields,"
Frontiers in Computational Neuroscience, vol. 17, pp. 1189949-1-1189949-23, 2023.
[32]
M. Spanghero and P. Papadimitratos,
"Detecting GNSS misbehavior leveraging secure heterogeneous time sources,"
in IEEE/ION Position, Location and Navigation Symposium (PLANS), Monterey, California, April 24-27, 2023, 2023.
[33]
C. Soto Valero,
"Debloating Java Dependencies,"
Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2023:36, 2023.
[34]
M. Masoudi et al.,
"Digital Twin Assisted Risk-Aware Sleep Mode Management Using Deep Q-Networks,"
IEEE Transactions on Vehicular Technology, vol. 72, no. 1, pp. 1224-1239, 2023.
[35]
L. Varawala et al.,
"A pricing mechanism to jointly mitigate market power and environmental externalities in electricity markets,"
Energy Economics, vol. 121, pp. 106646-106646, 2023.
[36]
E. Becirovic, E. Björnson and E. G. Larsson,
"Activity Detection in Distributed Massive MIMO With Pilot-Hopping and Activity Correlation,"
IEEE Wireless Communications Letters, vol. 12, no. 2, pp. 272-276, 2023.
[37]
M. Scazzariello et al.,
"A High-Speed Stateful Packet Processing Approach for Tbps Programmable Switches,"
in 20th USENIX Symposium onNetworked Systems Designand Implementation (NSDI ’23), 2023.
[38]
S. Khosravi,
"Beam Selection Using Trajectory Information in Mobile Millimeter-wave Networks,"
, 2023.
[39]
S. Khosravi et al.,
"Beam Alignment Using Trajectory Information in Mobile Millimeter-wave Networks,"
in IEEE International Conference on Communications 28 May – 01 June 2023, Rome, Italy, 2023.
[40]
L. Varawala et al.,
"A generalised approach for efficient computation of look ahead security constrained optimal power flow,"
European Journal of Operational Research, 2023.
[41]
M. Andersson et al.,
"Breaking Down the Parallel Performance of GROMACS, a High-Performance Molecular Dynamics Software,"
in PPAM 2022. Lecture Notes in Computer Science, vol 13826., 2023, pp. 333-345.
[42]
N. B. Ravichandran, A. Lansner and P. Herman,
"Brain-like combination of feedforward and recurrentnetwork components achieves prototype extraction androbust pattern recognition,"
in Lecture Notes in Computer Science, 2023.
[43]
E. Aurell, D. Machado Perez and R. Mulet,
"A closure for the master equation starting from the dynamic cavity method,"
Journal of Physics A : Mathematical and Theoretical, vol. 56, no. 17, 2023.
[44]
M. Andersson and S. Markidis,
"A Case Study on DaCe Portability & Performance for Batched Discrete Fourier Transforms,"
in Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region : 2023, 2023.
[45]
[46]
H. Basloom et al.,
"A Parallel Hybrid Testing Technique for Tri-Programming Model-Based Software Systems,"
Computers, Materials and Continua, vol. 74, no. 2, pp. 4501-4530, 2023.
[47]
D. Lundén,
"Correct and Efficient Monte Carlo Inference for Universal Probabilistic Programming Languages,"
Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2023:22, 2023.
[48]
D. Lundén et al.,
"Automatic Alignment in Higher-Order Probabilistic Programming Languages,"
in Programming Languages and Systems, 2023.
[49]
D. Weinberg et al.,
"A Review of Reinforcement Learning for Controlling Building Energy Systems From a Computer Science Perspective,"
Sustainable cities and society, vol. 89, 2023.
[50]
T. Lindeberg,
"A time-causal and time-recursive scale-covariant scale-space representation of temporal signals and past time,"
Biological Cybernetics, vol. 117, no. 1-2, pp. 21-59, 2023.