Publikatsioonid

Wave density spectra estimation with LSTM from Sentinel-1 SAR in the Baltic Sea
Väljaanne: 2024 IEEE/OES Thirteenth Current, Waves and Turbulence Measurement (CWTM), 18-20 March 2024
Autorid: Rikka, Sander; Nõmm, Sven; Alari, Victor; Simon, Martin; Björkqvist, Jan-Victor
Aasta: 2024
Enhancing IoT Botnet attack detection in SOCs with an explainable active learning framework
Väljaanne: 2024 IEEE 5th World AI IoT Congress, AIIoT 2024
Autorid: Kalakoti, Rajesh; Nõmm, Sven; Bahsi, Hayretdin
Aasta: 2024
Adaptation of transformer model for numeric case
Väljaanne: Proceedings 2024 International Conference on Machine Learning and Applications, ICMLA 2024, Miami, Florida, 18-20 December 2024
Autorid: Daniljuk, Mihhail; Rikka, Sander; Nõmm, Sven
Aasta: 2024
Explainable transformer-based intrusion detection in Internet of Medical Things (IoMT) networks
Väljaanne: 2024 International Conference on Machine Learning and Applications, ICMLA 2024, Miami, Florida, 18-20 December 2024, proceedings
Autorid: Kalakoti, Rajesh; Nõmm, Sven; Bahsi, Hayretdin
Aasta: 2024
Enhancing cerebral palsy gait analysis with 3D computer vision: a dual-camera approach
Väljaanne: 10th 2024 International Conference on Control, Decision and Information Technologies, CoDIT 2024, July 01-04, 2024, Valletta, Malta
Autorid: Valla, Elli; Kanter, Gert; Nõmm, Sven; Kuusk, Anton Osvald; Maran, Peeter; Seenmaa, Karl Mihkel; Mägi, Killu; Toomela, Aaro
Aasta: 2024
Explainable federated learning for botnet detection in IoT networks
Väljaanne: Proceedings of the 2024 IEEE International Conference on Cyber Security and Resilience (CSR), September 2-4, 2024, London, UK
Autorid: Kalakoti, Rajesh; Bahsi, Hayretdin; Nõmm, Sven
Aasta: 2024
Machine learning-based analysis of human motions for Parkinson’s disease diagnostics
Väljaanne: Extended Abstracts 2021/2022 : Methusalem Lectures
Autorid: Nõmm, Sven
Aasta: 2024
Application of the LSTM models for Baltic Sea wave spectra estimation
Väljaanne: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Autorid: Simon, Martin; Rikka, Sander; Nõmm, Sven; Alari, Victor
Aasta: 2023
A light-weight CNN model for efficient Parkinson’s disease diagnostics
Väljaanne: 2023 IEEE 36th International Symposium on Computer-Based Medical Systems, 22-24 June 2023, L’Aquila, Italy, Proceedings
Autorid: Wang, Xuechao; Huang, Junqing; Chatzakou, Marianna; Medijainen, Kadri; Taba, Pille; Toomela, Aaro; Nõmm, Sven; Ruzhansky, Michael
Aasta: 2023
Transforming fatigue assessment: Smartphone-based system with digitized motor skill tests
Väljaanne: International Journal of Medical Informatics
Autorid: Valla, Elli; Toose, Ain-Joonas; Nõmm, Sven; Toomela, Aaro
Aasta: 2023
Deep learning based segmentation of Luria’s alternating series test to support diagnostics of Parkinson’s disease
Väljaanne: 2023 International Conference on Machine Learning and Applications (ICMLA)
Autorid: Valla, Elli; Laur, Henry; Nõmm, Sven; Medijainen, Kadri; Taba, Pille; Toomela, Aaro
Aasta: 2023
Improving transparency and explainability of deep learning based IoT botnet detection using explainable artificial intelligence (XAI)
Väljaanne: Proceedings 22nd IEEE International Conference on Machine Learning and Applications, ICMLA 2023, 15–17 December 2023, Jacksonville Riverfront, Florida
Autorid: Kalakoti, Rajesh; Nõmm, Sven; Bahsi, Hayretdin
Aasta: 2023