Improving IoT Security With Explainable AI: Quantitative Evaluation of Explainability for IoT Botnet Detection von Kalakoti, Rajesh, Bahsi, Hayretdin, Nomm, Sven

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In-Depth Feature Selection for the Statistical Machine Learning-Based Botnet Detection in IoT Networks von Kalakoti, Rajesh, Nomm, Sven, Bahsi, Hayretdin

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Application of the LSTM Models for Baltic Sea Wave Spectra Estimation von Simon, Martin, Rikka, Sander, Nomm, Sven, Alari, Victor

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Why Behavioral Indicators May Fail to Reveal Mental States: Individual Differences in Arousal-Movement Pattern Relationships von Toomela, Aaro, Nõmm, Sven, Kõnnussaar, Tiit, Tammik, Valdar

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KronoDroid: Time-based Hybrid-featured Dataset for Effective Android Malware Detection and Characterization von Guerra-Manzanares, Alejandro, Bahsi, Hayretdin, Nõmm, Sven

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LSTM-CNN: An efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysis von Wang, Xuechao, Huang, Junqing, Chatzakou, Marianna, Medijainen, Kadri, Toomela, Aaro, Nõmm, Sven, Ruzhansky, Michael

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Transforming fatigue assessment: Smartphone-based system with digitized motor skill tests von Valla, Elli, Toose, Ain-Joonas, Nõmm, Sven, Toomela, Aaro

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Tremor-related feature engineering for machine learning based Parkinson’s disease diagnostics von Valla, Elli, Nõmm, Sven, Medijainen, Kadri, Taba, Pille, Toomela, Aaro

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Towards Generation of Synthetic Data Sets for Hybrid Conflict Modelling von Nõmm, Sven, Venables, Adrian

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An Alternative Approach to Measure Quantity and Smoothness of the Human Limb Motions von Nõmm, S, Toomela, A

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Further results on identifiability of discrete-time nonlinear systems von Nõmm, Sven, Moog, Claude H.

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Parkinson’s Disease Diagnostics Based on the Analysis of Digital Sentence Writing Test von Netšunajev, Aleksei, Nõmm, Sven, Toomela, Aaro, Medijainen, Kadri, Taba, Pille

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Applicability of Spiral Drawing Test for Mental Fatigue Modelling von Senkiv, Olesja, Nõmm, Sven, Toomela, Aaro

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An Efficient Neural Network for the Diagnosis of Parkinson’s Disease Using Dynamic Handwriting Analysis von Wang, Xuechao, Nõmm, Sven, Huang, Junqing, Chatzakou, Marianna, Ruzhansky, Michael

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Linear Input-Output Equivalence and Row Reducedness of Discrete-Time Nonlinear Systems von Kotta, Ülle, Bartosiewicz, Z, Nomm, S, Pawluszewicz, E

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Towards the Linear Algebra Based Taxonomy of XAI Explanations von Nomm, Sven

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A light-weight CNN model for efficient Parkinson's disease diagnostics von Wang, Xuechao, Huang, Junqing, Chatzakou, Marianna, Medijainen, Kadri, Taba, Pille, Toomela, Aaro, Nomm, Sven, Ruzhansky, Michael

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Towards Establishing Relationships between Human Arousal Level and Motion Mass von Nõmm, Sven, Kõnnusaar, Tiit, Toomela, Aaro

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Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers von Netšunajev, Aleksei, Nõmm, Sven, Toomela, Aaro, Medijainen, Kadri, Taba, Pille

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Generative Adversarial Networks as a Data Augmentation Tool for CNN-Based Parkinson's Disease Diagnostics von Dzotsenidze, Erik, Valla, Elli, Nõmm, Sven, Medijainen, Kadri, Taba, Pille, Toomela, Aaro

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