| 2025 | ACIIDS | Statistical Machine Learning Techniques for Wave Spectre Estimation in Coastal Seas. | Mihhail Daniljuk, Ilja Lastovko, Sander Rikka, Sven Nmm |
| 2025 | ACIIDS | Drawing Strategies Analysis for the Embedded Figure Tests. | Sven Nmm, Peeter Tarvas, Bento Selau, Soraya Jesus Salomo, Aaro Toomela |
| 2025 | ICISSP | Evaluating Explainable AI for Deep Learning-Based Network Intrusion Detection System Alert Classification. | Rajesh Kalakoti, Risto Vaarandi, Hayretdin Bahsi, Sven Nmm |
| 2024 | CoDIT | Enhancing Cerebral Palsy Gait Analysis with 3D Computer Vision: A Dual-Camera Approach. | Elli Valla, Gert Kanter, Sven Nmm, Anton Osvald Kuusk, Peeter Maran, Karl Mihkel Seenmaa, Killu Mgi, Aaro Toomela |
| 2024 | ICMLA | Adaptation of Transformer Model for Numeric Case. | Mihhail Daniljuk, Sander Rikka, Sven Nmm |
| 2024 | ICMLA | Explainable Transformer-based Intrusion Detection in Internet of Medical Things (IoMT) Networks. | Rajesh Kalakoti, Sven Nmm, Hayretdin Bahsi |
| 2023 | CBMS | A Light-weight CNN Model for Efficient Parkinson's Disease Diagnostics. | Xuechao Wang, Junqing Huang, Marianna Chatzakou, Kadri Medijainen, Pille Taba, Aaro Toomela, Sven Nmm, Michael V. Ruzhansky |
| 2023 | ICMLA | Improving Transparency and Explainability of Deep Learning Based IoT Botnet Detection Using Explainable Artificial Intelligence (XAI). | Rajesh Kalakoti, Sven Nmm, Hayretdin Bahsi |
| 2023 | ICMLA | Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's Disease. | Elli Valla, Henry Laur, Sven Nmm, Kadri Medijainen, Pille Taba, Aaro Toomela |
| 2021 | ACIIDS | CNN Based Analysis of the Luria's Alternating Series Test for Parkinson's Disease Diagnostics. | Sergei Zarembo, Sven Nmm, Kadri Medijainen, Pille Taba, Aaro Toomela |
| 2020 | ACIIDS | Sentence Writing Test for Parkinson Disease Modeling: Comparing Predictive Ability of Classifiers. | Aleksei Netsunajev, Sven Nmm, Aaro Toomela, Kadri Medijainen, Pille Taba |
| 2020 | ICISSP | MedBIoT: Generation of an IoT Botnet Dataset in a Medium-sized IoT Network. | Alejandro Guerra-Manzanares, Jorge Medina-Galindo, Hayretdin Bahsi, Sven Nmm |
| 2020 | ICISSP | Using MedBIoT Dataset to Build Effective Machine Learning-Based IoT Botnet Detection Systems. | Alejandro Guerra-Manzanares, Jorge Medina-Galindo, Hayretdin Bahsi, Sven Nmm |
| 2019 | CW | Hybrid Feature Selection Models for Machine Learning Based Botnet Detection in IoT Networks. | Alejandro Guerra-Manzanares, Hayretdin Bahsi, Sven Nmm |
| 2019 | ICISSP | In-depth Feature Selection and Ranking for Automated Detection of Mobile Malware. | Alejandro Guerra-Manzanares, Sven Nmm, Hayretdin Bahsi |
| 2017 | ACIIDS | Towards the Notion of Average Trajectory of the Repeating Motion of Human Limbs. | Sven Nmm, Aaro Toomela, Ilia Gaichenja |
| 2014 | ICONIP | Towards Establishing Relationships between Human Arousal Level and Motion Mass. | Sven Nmm, Tiit Knnusaar, Aaro Toomela |
| 2013 | ICONIP | Computational Intelligence Methods Based Design of Closed-Loop System. | Juri Belikov, Eduard Petlenkov, Kristina Vassiljeva, Sven Nmm |
| 2012 | ICONIP | Neural Networks Based System for the Supervision of Therapeutic Exercises. | Sven Nmm, Alar Kuusik, Sergei Ovsjanski, Ines Malmberg, Marko Parve, L. Orunurm |
| 2011 | IJCNN | Comparison of neural networks-based ANARX and NARX models by application of correlation tests. | Sven Nmm, lle Kotta |