Sven Nõmm
Sven Nõmm
Senior researcher, Department of Software Science, Tallinn University of Technology
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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
Unsupervised Anomaly Based Botnet Detection in IoT Networks
S Nõmm, H Bahşi
2018 17th IEEE International Conference on Machine Learning and Applications …, 2018
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
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
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
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
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
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 6, 47-51, 2000
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
Nn-based anarx model of the surgeon's hand for the motion recognition
S Nõmm, E Petlenkov, J Vain, K Yoshimitsu, K Ohnuma, T Sadahiro, ...
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
Adaptive output feedback linearization for a class of nn-based anarx models
E Petlenkov, S Nomm, U Kotta
2007 IEEE International Conference on Control and Automation, 3173-3178, 2007
Identifiability of discrete-time nonlinear systems
S Nõmm, CH Moog
IFAC Proceedings Volumes 37 (13), 333-338, 2004
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
A novel Taylor series based approach for control computation in NN-ANARX structure based control of nonlinear systems
J Belikov, K Vassiljeva, E Petlenkov, S Nõmm
2008 27th Chinese Control Conference, 474-478, 2008
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