Sven Nomm
Orcid: 0000-0001-5571-1692
According to our database1,
Sven Nomm
authored at least 58 papers
between 2002 and 2024.
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Bibliography
2024
Improving IoT Security With Explainable AI: Quantitative Evaluation of Explainability for IoT Botnet Detection.
IEEE Internet Things J., May, 2024
Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson's disease.
Biomed. Signal Process. Control., January, 2024
LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis.
Comput. Methods Programs Biomed., 2024
Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2024
Enhancing Cerebral Palsy Gait Analysis with 3D Computer Vision: A Dual-Camera Approach.
Proceedings of the 10th International Conference on Control, 2024
Enhancing IoT Botnet Attack Detection in SOCs with an Explainable Active Learning Framework.
Proceedings of the IEEE World AI IoT Congress, 2024
2023
Transforming fatigue assessment: Smartphone-based system with digitized motor skill tests.
Int. J. Medical Informatics, September, 2023
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023
Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease.
Proceedings of the International Conference on Machine Learning and Applications, 2023
Improving Transparency and Explainability of Deep Learning Based IoT Botnet Detection Using Explainable Artificial Intelligence (XAI).
Proceedings of the International Conference on Machine Learning and Applications, 2023
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023
2022
Tremor-related feature engineering for machine learning based Parkinson's disease diagnostics.
Biomed. Signal Process. Control., 2022
In-Depth Feature Selection for the Statistical Machine Learning-Based Botnet Detection in IoT Networks.
IEEE Access, 2022
2021
Parkinson's Disease Diagnostics Based on the Analysis of Digital Sentence Writing Test.
Vietnam. J. Comput. Sci., 2021
KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization.
Comput. Secur., 2021
CNN Based Analysis of the Luria's Alternating Series Test for Parkinson's Disease Diagnostics.
Proceedings of the Recent Challenges in Intelligent Information and Database Systems, 2021
2020
Using MedBIoT Dataset to Build Effective Machine Learning-Based IoT Botnet Detection Systems.
Proceedings of the Information Systems Security and Privacy - 6th International Conference, 2020
Proceedings of the 6th International Conference on Information Systems Security and Privacy, 2020
Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers.
Proceedings of the Intelligent Information and Database Systems - 12th Asian Conference, 2020
2019
Differences in Android Behavior Between Real Device and Emulator: A Malware Detection Perspective.
Proceedings of the Sixth International Conference on Internet of Things: Systems, 2019
Towards the Integration of a Post-Hoc Interpretation Step into the Machine Learning Workflow for IoT Botnet Detection.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019
Proceedings of the 5th International Conference on Information Systems Security and Privacy, 2019
Determining Necessary Length of the Alternating Series Test for Parkinson's Disease Modelling.
Proceedings of the 2019 International Conference on Cyberworlds, 2019
Hybrid Feature Selection Models for Machine Learning Based Botnet Detection in IoT Networks.
Proceedings of the 2019 International Conference on Cyberworlds, 2019
2018
Gait Analysis Based Approach for Parkinson's Disease Modeling with Decision Tree Classifiers.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018
Detailed Analysis of the Luria's Alternating SeriesTests for Parkinson's Disease Diagnostics.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Interpretable Quantitative Description of the Digital Clock Drawing Test for Parkinson's Disease Modelling.
Proceedings of the 15th International Conference on Control, 2018
Proceedings of the 15th International Conference on Control, 2018
2017
Proceedings of the Augmented Reality, Virtual Reality, and Computer Graphics, 2017
Proceedings of the Intelligent Information and Database Systems - 9th Asian Conference, 2017
2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
Proceedings of the 14th International Conference on Control, 2016
2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
2013
Monitoring of the Human Motor Functions Rehabilitation by Neural Networks Based System with Kinect Sensor.
Proceedings of the 12th IFAC/IFIP/IFORS/IEA Symposium on Analysis, 2013
Proceedings of the Neural Information Processing - 20th International Conference, 2013
Application of Neural Networks Based SANARX Model for Identification and Control Liquid Level Tank System.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013
Proceedings of the Seventh UKSim/AMSS European Modelling Symposium, 2013
Proceedings of the Seventh UKSim/AMSS European Modelling Symposium, 2013
2012
Evaluation function optimization for the genetic algorithm based tuning of NN-ANARX model structure.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Evolutionary Design of the Closed Loop Control on the Basis of NN-ANARX Model Using Genetic Algorithm.
Proceedings of the Neural Information Processing - 19th International Conference, 2012
Proceedings of the Neural Information Processing - 19th International Conference, 2012
2011
Linear Input-Output Equivalence and Row Reducedness of Discrete-Time Nonlinear Systems.
IEEE Trans. Autom. Control., 2011
Comparison of neural networks-based ANARX and NARX models by application of correlation tests.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 9th IEEE International Conference on Control and Automation, 2011
Structure identification of NN-ANARX model by genetic algorithm with combined cross-correlation-test based evaluation function.
Proceedings of the 9th IEEE International Conference on Control and Automation, 2011
Proceedings of the Adaptive and Intelligent Systems - Second International Conference, 2011
2008
Application of self organizing Kohonen map to detection of surgeon motions during endoscopic surgery.
Proceedings of the International Joint Conference on Neural Networks, 2008
Proceedings of the 10th International Conference on Control, 2008
Dynamic output feedback linearization based adaptive control of nonlinear MIMO systems.
Proceedings of the American Control Conference, 2008
2006
On realizability of neural networks-based input-output models in the classical state-space form.
Autom., 2006
Proceedings of the Ninth International Conference on Control, 2006
Irreducibility Conditions for Continuous-time Multi-input Multi-output Nonlinear Systems.
Proceedings of the Ninth International Conference on Control, 2006
2003
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003
On state space realizability of bilinear systems described by higher order difference equations.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003
2002