• Designing adaptive multi-agent systems by agent-oriented modellingTaveter, Kuldar; Kirikal, KristiProceedings of the 18th IFAC World Congress, 2011 : Milano, Italy, August 28 - September 2, 20112011 https://folk.ntnu.no/skoge/prost/proceedings/ifac11-proceedings/data/html/papers/3497.pdf
  • Dimensionality reduction for machine learning based IoT botnet detectionBahsi, Hayretdin; Nõmm, Sven15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018) : Singapore, November 18-21, 20182018 / p. 1857-1862 : ill https://doi.org/10.1109/ICARCV.2018.8581205
  • Hybrid feature selection models for machine learning based botnet detection in IoT networksGuerra Manzanares, Alejandro; Bahsi, Hayretdin; Nõmm, Sven2019 International Conference on Cyberworlds : CW 2019 : 2-4 October 2019, Kyoto, Japan : proceedings2019 / p. 324-327 : ill https://doi.org/10.1109/CW.2019.00059
  • Improving transparency and explainability of deep learning based IoT botnet detection using explainable artificial intelligence (XAI)Kalakoti, Rajesh; Nõmm, Sven; Bahsi, Hayretdin22nd IEEE International Conference on Machine Learning and Applications : ICMLA 2023 : 15-17 December 2023, Jacksonville Riverfront, Florida : proceedings (2023)2023 / p. 595 - 601 https://doi.org/10.1109/ICMLA58977.2023.00088
  • In-depth feature selection for the statistical machine learning-based botnet detection in IoT networksKalakoti, Rajesh; Nõmm, Sven; Bahsi, HayretdinIEEE Access2022 / p. 94518-94535 https://doi.org/10.1109/ACCESS.2022.3204001 https://www.scopus.com/sourceid/21100374601 https://www.scopus.com/record/display.uri?eid=2-s2.0-85137873867&origin=inward&txGid=427e79cea63c6bfb51a2ad1e7b91b85b https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000853802600001
  • Towards the integration of a post-hoc interpretation step into the machine learning workflow for IoT botnet detectionGuerra Manzanares, Alejandro; Nõmm, Sven; Bahsi, Hayretdin18th IEEE International Conference on Machine Learning and Applications : ICMLA 2019, 16–19 December 2019, Boca Raton, Florida, USA : proceedings2019 / p. 1162-1169 : ill https://doi.org/10.1109/ICMLA.2019.00193
  • Unsupervised anomaly based botnet detection in IoT networksNõmm, Sven; Bahsi, Hayretdin17th IEEE International Conference on Machine Learning and Applications : ICMLA 2018, 17–20 December 2018, Orlando, Florida, USA : proceedings2018 / p. 1048-1053 https://doi.org/10.1109/ICMLA.2018.00171