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2020 – today
- 2024
[j13]Xuechao Wang
, Junqing Huang, Marianna Chatzakou, Sven Nõmm, Elli Valla, Kadri Medijainen, Pille Taba, Aaro Toomela, Michael V. Ruzhansky:
Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson's disease. Biomed. Signal Process. Control. 87(Part B): 105436 (2024)- [j12]Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Aaro Toomela, Sven Nõmm, Michael V. Ruzhansky:
LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis. Comput. Methods Programs Biomed. 247: 108066 (2024) - [j11]Rajesh Kalakoti, Hayretdin Bahsi, Sven Nõmm:
Improving IoT Security With Explainable AI: Quantitative Evaluation of Explainability for IoT Botnet Detection. IEEE Internet Things J. 11(10): 18237-18254 (2024) - [c44]Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi:
Enhancing IoT Botnet Attack Detection in SOCs with an Explainable Active Learning Framework. AIIoT 2024: 265-272 - [c43]Elli Valla, Gert Kanter, Sven Nõmm, Anton Osvald Kuusk, Peeter Maran, Karl Mihkel Seenmaa, Killu Mägi, Aaro Toomela:
Enhancing Cerebral Palsy Gait Analysis with 3D Computer Vision: A Dual-Camera Approach. CoDIT 2024: 1352-1357 - [c42]Rajesh Kalakoti, Hayretdin Bahsi, Sven Nõmm:
Explainable Federated Learning for Botnet Detection in IoT Networks. CSR 2024: 1-8 - 2023
- [j10]Elli Valla, Ain-Joonas Toose, Sven Nõmm, Aaro Toomela:
Transforming fatigue assessment: Smartphone-based system with digitized motor skill tests. Int. J. Medical Informatics 177: 105152 (2023) - [j9]Martin Simon, Sander Rikka, Sven Nõmm, Victor Alari:
Application of the LSTM Models for Baltic Sea Wave Spectra Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 83-88 (2023) - [c41]Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Pille Taba, Aaro Toomela, Sven Nõmm, Michael V. Ruzhansky:
A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics. CBMS 2023: 616-621 - [c40]Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi:
Improving Transparency and Explainability of Deep Learning Based IoT Botnet Detection Using Explainable Artificial Intelligence (XAI). ICMLA 2023: 595-601 - [c39]Elli Valla, Henry Laur, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela:
Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease. ICMLA 2023: 1066-1071 - [i3]Sven Nomm:
Towards the Linear Algebra Based Taxonomy of XAI Explanations. CoRR abs/2301.13138 (2023) - [i2]Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Pille Taba, Aaro Toomela, Sven Nomm, Michael V. Ruzhansky:
A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics. CoRR abs/2302.00973 (2023) - [i1]Xuechao Wang, Junqing Huang, Sven Nomm, Marianna Chatzakou, Kadri Medijainen, Aaro Toomela, Michael V. Ruzhansky:
LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis. CoRR abs/2311.11756 (2023) - 2022
- [j8]Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi:
In-Depth Feature Selection for the Statistical Machine Learning-Based Botnet Detection in IoT Networks. IEEE Access 10: 94518-94535 (2022) - [j7]Elli Valla, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela:
Tremor-related feature engineering for machine learning based Parkinson's disease diagnostics. Biomed. Signal Process. Control. 75: 103551 (2022) - 2021
- [j6]Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm:
KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization. Comput. Secur. 110: 102399 (2021) - [j5]Aleksei Netsunajev, Sven Nõmm, Aaro Toomela, Kadri Medijainen, Pille Taba:
Parkinson's Disease Diagnostics Based on the Analysis of Digital Sentence Writing Test. Vietnam. J. Comput. Sci. 8(4): 493-512 (2021) - [c38]Sergei Zarembo, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela:
CNN Based Analysis of the Luria's Alternating Series Test for Parkinson's Disease Diagnostics. ACIIDS (Companion) 2021: 3-13 - 2020
- [c37]Aleksei Netsunajev, Sven Nõmm, Aaro Toomela, Kadri Medijainen, Pille Taba:
Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers. ACIIDS (1) 2020: 345-357 - [c36]Alejandro Guerra-Manzanares, Jorge Medina-Galindo, Hayretdin Bahsi, Sven Nõmm:
MedBIoT: Generation of an IoT Botnet Dataset in a Medium-sized IoT Network. ICISSP 2020: 207-218 - [c35]Alejandro Guerra-Manzanares, Jorge Medina-Galindo, Hayretdin Bahsi, Sven Nõmm:
Using MedBIoT Dataset to Build Effective Machine Learning-Based IoT Botnet Detection Systems. ICISSP (Revised Selected Papers) 2020: 222-243
2010 – 2019
- 2019
- [c34]Sven Nomm, Tanel Kossas, Aaro Toomela, Kadri Medijainen, Pille Taba:
Determining Necessary Length of the Alternating Series Test for Parkinson's Disease Modelling. CW 2019: 261-266 - [c33]Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm:
Hybrid Feature Selection Models for Machine Learning Based Botnet Detection in IoT Networks. CW 2019: 324-327 - [c32]Alejandro Guerra-Manzanares, Sven Nõmm, Hayretdin Bahsi:
In-depth Feature Selection and Ranking for Automated Detection of Mobile Malware. ICISSP 2019: 274-283 - [c31]Sven Nomm, Alejandro Guerra-Manzanares, Hayretdin Bahsi:
Towards the Integration of a Post-Hoc Interpretation Step into the Machine Learning Workflow for IoT Botnet Detection. ICMLA 2019: 1162-1169 - [c30]Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm:
Differences in Android Behavior Between Real Device and Emulator: A Malware Detection Perspective. IoTSMS 2019: 399-404 - 2018
- [c29]Sven Nomm, Ilja Masharov, Aaro Toomela, Kadri Medijainen, Pille Taba:
Interpretable Quantitative Description of the Digital Clock Drawing Test for Parkinson's Disease Modelling. ICARCV 2018: 1839-1844 - [c28]Hayretdin Bahsi, Sven Nomm, Fabio Benedetto La Torre:
Dimensionality Reduction for Machine Learning Based IoT Botnet Detection. ICARCV 2018: 1857-1862 - [c27]Sven Nomm, Hayretdin Bahsi:
Unsupervised Anomaly Based Botnet Detection in IoT Networks. ICMLA 2018: 1048-1053 - [c26]Sven Nomm, Konstantin Bardos, Aaro Toomela, Kadri Medijainen, Pille Taba:
Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics. ICMLA 2018: 1347-1352 - [c25]Anna Krajushkina, Sven Nomm, Aaro Toomela, Kadri Medijainen, Eveli Tamm, Martti Vaske, Dan Uvarov, Hedi Kahar, Marita Nugis, Pille Taba:
Gait Analysis Based Approach for Parkinson's Disease Modeling with Decision Tree Classifiers. SMC 2018: 3720-3725 - 2017
- [c24]Sven Nõmm, Aaro Toomela, Ilia Gaichenja:
Towards the Notion of Average Trajectory of the Repeating Motion of Human Limbs. ACIIDS (2) 2017: 582-591 - [c23]Sven Nõmm, Aaro Toomela, Jaroslav Kulikov:
Towards Modeling of Finger Motions in Virtual Reality Environment. AVR (1) 2017: 106-115 - 2016
- [j4]Sven Nõmm, Claude H. Moog:
Further results on identifiability of discrete-time nonlinear systems. Autom. 68: 69-74 (2016) - [c22]Sven Nomm, Aaro Toomela, Julia Kozhenkina, Toomas Toomsoo:
Quantitative analysis in the digital Luria's alternating series tests. ICARCV 2016: 1-6 - [c21]Sven Nomm, Konstantin Bardos, Ilja Masarov, Julia Kozhenkina, Aaro Toomela, Toomas Toomsoo:
Recognition and Analysis of the Contours Drawn during the Poppelreuter's Test. ICMLA 2016: 170-175 - 2014
- [c20]Sven Nõmm, Tiit Kõnnusaar, Aaro Toomela:
Towards Establishing Relationships between Human Arousal Level and Motion Mass. ICONIP (1) 2014: 19-26 - 2013
- [c19]Sven Nomm, Kristina Vassiljeva, Alar Kuusik:
Human Limb Model Structure Optimization with Genetic Algorithm. EMS 2013: 132-137 - [c18]Sven Nomm, Aaro Toomela, Jevgeni Borushko:
Alternative Approach to Model Changes of Human Motor Functions. EMS 2013: 169-174 - [c17]Juri Belikov, Sven Nomm, Eduard Petlenkov, Kristina Vassiljeva:
Application of Neural Networks Based SANARX Model for Identification and Control Liquid Level Tank System. ICMLA (1) 2013: 246-251 - [c16]Juri Belikov, Eduard Petlenkov, Kristina Vassiljeva, Sven Nõmm:
Computational Intelligence Methods Based Design of Closed-Loop System. ICONIP (1) 2013: 215-224 - [c15]Sven Nomm, Kirill Buhhalko:
Monitoring of the Human Motor Functions Rehabilitation by Neural Networks Based System with Kinect Sensor. IFAC HMS 2013: 249-253 - 2012
- [c14]Sven Nõmm, Alar Kuusik, Sergei Ovsjanski, Ines Malmberg, Marko Parve, L. Orunurm:
Neural Networks Based System for the Supervision of Therapeutic Exercises. ICONIP (4) 2012: 364-371 - [c13]Kristina Vassiljeva, Eduard Petlenkov, Sven Nomm:
Evolutionary Design of the Closed Loop Control on the Basis of NN-ANARX Model Using Genetic Algorithm. ICONIP (1) 2012: 592-599 - [c12]Sven Nomm, Kristina Vassiljeva, Eduard Petlenkov:
Evaluation function optimization for the genetic algorithm based tuning of NN-ANARX model structure. IJCNN 2012: 1-7 - 2011
- [j3]Ülle Kotta, Zbigniew Bartosiewicz, Sven Nomm, Ewa Pawluszewicz:
Linear Input-Output Equivalence and Row Reducedness of Discrete-Time Nonlinear Systems. IEEE Trans. Autom. Control. 56(6): 1421-1426 (2011) - [c11]Sven Nõmm, Juri Belikov:
Online Identification of the System Order with ANARX Structure. ICAIS 2011: 5-15 - [c10]Sven Nomm, Kristina Vassiljeva, Juri Belikov, Eduard Petlenkov:
Structure identification of NN-ANARX model by genetic algorithm with combined cross-correlation-test based evaluation function. ICCA 2011: 65-70 - [c9]Robert Tenno, Sven Nomm:
Partially observed stochastic bilinear system control. ICCA 2011: 951-956 - [c8]Sven Nõmm, Ülle Kotta:
Comparison of neural networks-based ANARX and NARX models by application of correlation tests. IJCNN 2011: 2113-2118
2000 – 2009
- 2008
- [c7]Eduard Petlenkov, Juri Belikov, Sven Nomm, Malgorzata Wyrwas:
Dynamic output feedback linearization based adaptive control of nonlinear MIMO systems. ACC 2008: 3446-3451 - [c6]Janusz Jakubiak, Sven Nomm, Juri Vain, Fujio Miyawaki:
Polynomial based approach in analysis and detection of surgeon's motions. ICARCV 2008: 611-616 - [c5]Eduard Petlenkov, Sven Nomm, Juri Vain, Fujio Miyawaki:
Application of self organizing Kohonen map to detection of surgeon motions during endoscopic surgery. IJCNN 2008: 2806-2811 - 2006
- [j2]Ülle Kotta, Fahmida N. Chowdhury, Sven Nõmm:
On realizability of neural networks-based input-output models in the classical state-space form. Autom. 42(7): 1211-1216 (2006) - [c4]Ülle Kotta, Palle Kotta, Sven Nomm, Maris Tõnso:
Irreducibility Conditions for Continuous-time Multi-input Multi-output Nonlinear Systems. ICARCV 2006: 1-5 - [c3]Eduard Petlenkov, Sven Nomm, Ülle Kotta:
Neural Networks Based ANARX Structure for Identification and Model Based Control. ICARCV 2006: 1-5 - 2003
- [c2]Sven Nomm:
Realization of interconnected nonlinear input-output discrete-time systems. CDC 2003: 1368-1373 - [c1]Ülle Kotta, Sven Nomm, Alan Solon Ivor Zinober:
On state space realizability of bilinear systems described by higher order difference equations. CDC 2003: 5685-5690 - 2002
- [j1]Ronald K. Pearson, Ülle Kotta, Sven Nomm:
Systems with associative dynamics. Kybernetika 38(5): 585-600 (2002)
Coauthor Index
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last updated on 2024-11-14 00:55 CET by the dblp team
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