Sven Nõmm

39 papers B 2C 8Misc 1Journal 15Unranked 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
PointExplainer: Towards transparent Parkinson's disease diagnosis.
Inf. Fusion
Xuechao Wang, Sven Nõmm, Junqing Huang, Kadri Medijainen, Aaro Toomela, Michael V. Ruzhansky
2025 — conf
Comparative Evaluation of XAI Techniques for CNN Interpretation in Parkinson's Drawing Test Classification.
CENTERIS/ProjMAN/HCist
Oluwandabira O. Alawode, Elli Valla, Aaro Toomela, Sven Nõmm
2025 — conf
Evaluating Explainable AI for Deep Learning-Based Network Intrusion Detection System Alert Classification.
ICISSP (1)
Rajesh Kalakoti, Risto Vaarandi, Hayretdin Bahsi, Sven Nõmm
2025 J jnl
Evaluating explainable AI for deep learning-based network intrusion detection system alert classification.
CoRR
Rajesh Kalakoti, Risto Vaarandi, Hayretdin Bahsi, Sven Nõmm
2025 J jnl
Federated Learning of Explainable AI(FedXAI) for deep learning-based intrusion detection in IoT networks.
Comput. Networks
Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi
2025 J jnl
Smartphone-based microkinematic feature analysis for mental fatigue detection using machine learning: Can smartphones reveal when we are tired?
Cogn. Technol. Work.
Elli Valla, Lilian Väli, Sven Nõmm, Aaro Toomela
2024 C conf
Adaptation of Transformer Model for Numeric Case.
ICMLA
Mihhail Daniljuk, Sander Rikka, Sven Nõmm
2024 J jnl
Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson's disease.
Biomed. Signal Process. Control.
Xuechao Wang, Junqing Huang, Marianna Chatzakou, Sven Nõmm, Elli Valla, Kadri Medijainen, Pille Taba, Aaro Toomela, Michael V. Ruzhansky
2024 C conf
Enhancing Cerebral Palsy Gait Analysis with 3D Computer Vision: A Dual-Camera Approach.
CoDIT
Elli Valla, Gert Kanter, Sven Nõmm, Anton Osvald Kuusk, Peeter Maran, Karl Mihkel Seenmaa, Killu Mägi, Aaro Toomela
2024 — conf
Enhancing IoT Botnet Attack Detection in SOCs with an Explainable Active Learning Framework.
AIIoT
Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi
2024 Misc conf
Explainable Federated Learning for Botnet Detection in IoT Networks.
CSR
Rajesh Kalakoti, Hayretdin Bahsi, Sven Nõmm
2024 C conf
Explainable Transformer-based Intrusion Detection in Internet of Medical Things (IoMT) Networks.
ICMLA
Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi
2024 J jnl
Improving IoT Security With Explainable AI: Quantitative Evaluation of Explainability for IoT Botnet Detection.
IEEE Internet Things J.
Rajesh Kalakoti, Hayretdin Bahsi, Sven Nõmm
2024 J jnl
LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis.
Comput. Methods Programs Biomed.
Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Aaro Toomela, Sven Nõmm, Michael V. Ruzhansky
2023 B conf
A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics.
CBMS
Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Pille Taba, Aaro Toomela, Sven Nõmm, Michael V. Ruzhansky
2023 J jnl
Application of the LSTM Models for Baltic Sea Wave Spectra Estimation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Martin Simon, Sander Rikka, Sven Nõmm, Victor Alari
2023 C conf
Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease.
ICMLA
Elli Valla, Henry Laur, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela
2023 C conf
Improving Transparency and Explainability of Deep Learning Based IoT Botnet Detection Using Explainable Artificial Intelligence (XAI).
ICMLA
Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi
2023 J jnl
Transforming fatigue assessment: Smartphone-based system with digitized motor skill tests.
Int. J. Medical Informatics
Elli Valla, Ain-Joonas Toose, Sven Nõmm, Aaro Toomela
2022 J jnl
In-Depth Feature Selection for the Statistical Machine Learning-Based Botnet Detection in IoT Networks.
IEEE Access
Rajesh Kalakoti, Sven Nõmm, Hayretdin Bahsi
2022 J jnl
Tremor-related feature engineering for machine learning based Parkinson's disease diagnostics.
Biomed. Signal Process. Control.
Elli Valla, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela
2021 — conf
CNN Based Analysis of the Luria's Alternating Series Test for Parkinson's Disease Diagnostics.
ACIIDS (Companion)
Sergei Zarembo, Sven Nõmm, Kadri Medijainen, Pille Taba, Aaro Toomela
2021 J jnl
KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization.
Comput. Secur.
Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm
2021 J jnl
Parkinson's Disease Diagnostics Based on the Analysis of Digital Sentence Writing Test.
Vietnam. J. Comput. Sci.
Aleksei Netsunajev, Sven Nõmm, Aaro Toomela, Kadri Medijainen, Pille Taba
2020 C conf
MedBIoT: Generation of an IoT Botnet Dataset in a Medium-sized IoT Network.
ICISSP
Alejandro Guerra-Manzanares, Jorge Medina-Galindo, Hayretdin Bahsi, Sven Nõmm
2020 — conf
Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers.
ACIIDS (1)
Aleksei Netsunajev, Sven Nõmm, Aaro Toomela, Kadri Medijainen, Pille Taba
2020 — conf
Using MedBIoT Dataset to Build Effective Machine Learning-Based IoT Botnet Detection Systems.
ICISSP (Revised Selected Papers)
Alejandro Guerra-Manzanares, Jorge Medina-Galindo, Hayretdin Bahsi, Sven Nõmm
2019 — conf
Differences in Android Behavior Between Real Device and Emulator: A Malware Detection Perspective.
IoTSMS
Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm
2019 C conf
Hybrid Feature Selection Models for Machine Learning Based Botnet Detection in IoT Networks.
CW
Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nõmm
2019 C conf
In-depth Feature Selection and Ranking for Automated Detection of Mobile Malware.
ICISSP
Alejandro Guerra-Manzanares, Sven Nõmm, Hayretdin Bahsi
2017 — conf
Towards Modeling of Finger Motions in Virtual Reality Environment.
AVR (1)
Sven Nõmm, Aaro Toomela, Jaroslav Kulikov
2017 — conf
Towards the Notion of Average Trajectory of the Repeating Motion of Human Limbs.
ACIIDS (2)
Sven Nõmm, Aaro Toomela, Ilia Gaichenja
2016 J jnl
Further results on identifiability of discrete-time nonlinear systems.
Autom.
Sven Nõmm, Claude H. Moog
2014 — conf
Towards Establishing Relationships between Human Arousal Level and Motion Mass.
ICONIP (1)
Sven Nõmm, Tiit Kõnnusaar, Aaro Toomela
2013 — conf
Computational Intelligence Methods Based Design of Closed-Loop System.
ICONIP (1)
Juri Belikov, Eduard Petlenkov, Kristina Vassiljeva, Sven Nõmm
2012 — conf
Neural Networks Based System for the Supervision of Therapeutic Exercises.
ICONIP (4)
Sven Nõmm, Alar Kuusik, Sergei Ovsjanski, Ines Malmberg, Marko Parve, L. Orunurm
2011 B conf
Comparison of neural networks-based ANARX and NARX models by application of correlation tests.
IJCNN
Sven Nõmm, Ülle Kotta
2011 — conf
Online Identification of the System Order with ANARX Structure.
ICAIS
Sven Nõmm, Juri Belikov
2006 J jnl
On realizability of neural networks-based input-output models in the classical state-space form.
Autom.
Ülle Kotta, Fahmida N. Chowdhury, Sven Nõmm