Sayyed Auwn Muhammad
Sayyed Auwn Muhammad
Lead Data Scientist at Ericsson
Verified email at - Homepage
Cited by
Cited by
ViEWS: A political violence early-warning system
H Hegre, M Allansson, M Basedau, M Colaresi, M Croicu, H Fjelde, ...
Journal of peace research 56 (2), 155-174, 2019
Human immune system variation during 1 year
T Lakshmikanth, SA Muhammad, A Olin, Y Chen, J Mikes, L Fagerberg, ...
Cell reports 32 (3), 2020
VMCMC: a graphical and statistical analysis tool for Markov chain Monte Carlo traces
RH Ali, M Bark, J Miró, SA Muhammad, J Sjöstrand, SM Zubair, RM Abbas, ...
BMC bioinformatics 18 (1), 1-8, 2017
GenFamClust: an accurate, synteny-aware and reliable homology inference algorithm
RH Ali, SA Muhammad, L Arvestad
BMC evolutionary biology 16 (1), 1-19, 2016
Sequence analysis and evolutionary studies of reelin proteins
M Manoharan, SA Muhammad, R Sowdhamini
Bioinformatics and Biology insights 9, BBI. S26530, 2015
Quantitative synteny scoring improves homology inference and partitioning of gene families
RH Ali, SA Muhammad, MA Khan, L Arvestad
BMC bioinformatics 14 (15), 1-9, 2013
Cluster-based parallel testing using semantic analysis
C Landing, S Tahvili, H Haggren, M Langkvis, A Muhammad, A Loufi
2020 IEEE International Conference on Artificial Intelligence Testing …, 2020
Species tree-aware simultaneous reconstruction of gene and domain evolution
SA Muhammad, B Sennblad, J Lagergren
bioRxiv, 336453, 2018
Performance analysis of deep anomaly detection algorithms for commercial microwave link attenuation
O Engström, S Tahvili, A Muhammad, F Yaghoubi, L Pellaco
2020 International Conference on Advanced Computer Science and Information …, 2020
Probabilistic Modelling of Domain and Gene Evolution
SA Muhammad
KTH Royal Institute of Technology, 2016
Feature Engineering and Machine Learning Pipeline for Detecting Radio Protocol-based Attacks
A Muhammad, L Abdelrazek, I Ullah
2023 IEEE Wireless Communications and Networking Conference (WCNC), 1-7, 2023
Systems and methods for machine learned network activity profiling of devices
SA Muhammad, I Ullah, L Abdelrazek
WO Patent WO2023281323A1, 2023
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