Sven Nõmm
Sven Nõmm
Tenured associate professor, Department of Software Science, Tallinn University of Technology
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Cited by
Cited by
Unsupervised Anomaly Based Botnet Detection in IoT Networks
S Nõmm, H Bahşi
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
Dimensionality Reduction for Machine Learning Based IoT Botnet Detection
H Bahşi, S Nõmm, FB La Torre
2018 15th International Conference on Control, Automation, Robotics and …, 2018
MedBIoT: Generation of an IoT Botnet Dataset in a Medium-sized IoT Network.
A Guerra-Manzanares, J Medina-Galindo, H Bahsi, S Nõmm
ICISSP, 207-218, 2020
KronoDroid: Time-based hybrid-featured dataset for effective android malware detection and characterization
A Guerra-Manzanares, H Bahsi, S Nõmm
Computers & Security 110, 102399, 2021
On realizability of neural networks-based input–output models in the classical state-space form
Ü Kotta, FN Chowdhury, S Nõmm
Automatica 42 (7), 1211-1216, 2006
Hybrid feature selection models for machine learning based botnet detection in IoT networks
A Guerra-Manzanares, H Bahsi, S Nõmm
2019 International Conference on Cyberworlds (CW), 324-327, 2019
Neural networks based ANARX structure for identification and model based control
E Petlenkov, S Nomm, U Kotta
2006 9th International Conference on Control, Automation, Robotics and …, 2006
On a new type of neural-network-based input-output model: the ANARMA structure
Ü Kotta, S Nõmm, FN Chowdhury
IFAC Proceedings Volumes 34 (6), 1535-1538, 2001
Linear input-output equivalence and row reducedness of discrete-time nonlinear systems
Ü Kotta, Z Bartosiewicz, S Nomm, E Pawluszewicz
IEEE Transactions on Automatic Control 56 (6), 1421-1426, 2011
Monitoring of the human motor functions rehabilitation by neural networks based system with kinect sensor
S Nomm, K Buhhalko
IFAC Proceedings Volumes 46 (15), 249-253, 2013
Classical state space realizability of input-output bilinear models
Ü Kotta, S Nomm, ASI Zinober
International Journal of Control 76 (12), 1224-1232, 2003
In-Depth Feature Selection for the Statistical Machine Learning-Based Botnet Detection in IoT Networks
R Kalakoti, S Nõmm, H Bahsi
IEEE Access 10, 94518 - 94535, 2022
Tremor-related feature engineering for machine learning based Parkinson’s disease diagnostics
E Valla, S Nõmm, K Medijainen, P Taba, A Toomela
Biomedical Signal Processing and Control 75 (103551), 2022
Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics
S Nõmm, K Bardõš, A Toomela, K Medijainen, P Taba
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
Quantitative analysis in the digital Luria's alternating series tests
S Nomm, A Toomela, J Kozhenkina, T Toomsoo
Control, Automation, Robotics and Vision (ICARCV), 2016 14th International …, 2016
An alternative approach to measure quantity and smoothness of the human limb motions.
S Nõmm, A Toomela
Estonian Journal of Engineering 19 (4), 2013
On realizability of neural networks-based input-output models
FN Chowdhury, U Kotta, S Nõmm
Proc. of the 3rd Int. Conf. on Differential Equations and Applications, St …, 2000
Nn-based anarx model of the surgeon's hand for the motion recognition
貞弘晃宜, 宮脇富士夫
Proceedings of the 4th COE Workshop on Human Adaptive Mechatronics (HAM), 19-24, 2007
Recognition of the surgeon's motions during endoscopic operation by statistics based algorithm and neural networks based ANARX models
S Nomm, E Petlenkov, J Vain, J Belikov, F Miyawaki, K Yoshimitsu
IFAC Proceedings Volumes 41 (2), 14773-14778, 2008
Application of self organizing Kohonen map to detection of surgeon motions during endoscopic surgery
E Petlenkov, S Nomm, J Vain, F Miyawaki
2008 IEEE International Joint Conference on Neural Networks (IEEE World …, 2008
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