Sven Nõmm

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 23

Top Topics

Malware Detection

Statistical Machine Learning

Feature Selection

Top Venues

Biomed. Signal Process. Control.

Publications

Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi
Enhancing IoT Botnet Attack Detection in SOCs with an Explainable Active Learning Framework. AIIoT (2024)
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) (2024)
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) (2024)
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 (2024)
Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi
Improving Transparency and Explainability of Deep Learning Based IoT Botnet Detection Using Explainable Artificial Intelligence (XAI). ICMLA (2023)
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 (2023)
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 (2023)
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)
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)
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 (2022)
Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi
In-Depth Feature Selection for the Statistical Machine Learning-Based Botnet Detection in IoT Networks. IEEE Access 10 (2022)
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)
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) (2021)
Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm
KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization. Comput. Secur. 110 (2021)
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)
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)
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)
Alejandro Guerra-Manzanares, Sven Nõmm, Hayretdin Bahsi
In-depth Feature Selection and Ranking for Automated Detection of Mobile Malware. ICISSP (2019)
Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm
Differences in Android Behavior Between Real Device and Emulator: A Malware Detection Perspective. IoTSMS (2019)
Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm
Hybrid Feature Selection Models for Machine Learning Based Botnet Detection in IoT Networks. CW (2019)
Sven Nõmm, Aaro Toomela, Jaroslav Kulikov
Towards Modeling of Finger Motions in Virtual Reality Environment. AVR (1) (2017)
Sven Nõmm, Aaro Toomela, Ilia Gaichenja
Towards the Notion of Average Trajectory of the Repeating Motion of Human Limbs. ACIIDS (2) (2017)
Sven Nõmm, Claude H. Moog
Further results on identifiability of discrete-time nonlinear systems. Autom. 68 (2016)
Sven Nõmm, Tiit Kõnnusaar, Aaro Toomela
Towards Establishing Relationships between Human Arousal Level and Motion Mass. ICONIP (1) (2014)
Juri Belikov, Eduard Petlenkov, Kristina Vassiljeva, Sven Nõmm
Computational Intelligence Methods Based Design of Closed-Loop System. ICONIP (1) (2013)
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)
Sven Nõmm, Ülle Kotta
Comparison of neural networks-based ANARX and NARX models by application of correlation tests. IJCNN (2011)
Sven Nõmm, Juri Belikov
Online Identification of the System Order with ANARX Structure. ICAIS (2011)
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) (2006)