• 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
• Hyperspectral image band selection using poolingLiyanage, Dhanushka Chamara; Hudjakov, Robert; Tamre, Mart15th International Conference Mechatronic Systems and Materials : MSM'2020 : The book of selected, peer reviwed papers presented at the 15th International Conference Mechatronic Systems and Materials MSM'2020, July 1-3, 2020, Bialystok, Poland2020 https://doi.org/10.1109/MSM49833.2020.9201714
• In-depth feature selection and ranking for automated detection of mobile malwareGuerra Manzanares, Alejandro; Nõmm, Sven; Bahsi, HayretdinProceedings of the 5th International Conference on Information Systems Security and Privacy : ICISSP 2019 : February 23-25, 2019, Prague, Czech Republic. Vol. 12019 / p. 274-283 : ill https://doi.org/10.5220/0007349602740283
• 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
• Interpretability improvement of fuzzy rule-based classifiers via rule compressionRiid, Andri; Preden, Jürgo-SörenInternational Joint Conference IFSA-EUSFLAT : June 30th - July 3rd, Gijon, Asturias (Spain)2015 / p. 162-169 : ill http://dx.doi.org/10.2991/ifsa-eusflat-15.2015.26
• Machine learning assisted methodology for multiclass classification of malignant brain tumorsVidyarthi, Ankit; Agarwal, Ruchi; Gupta, Deepak; Sharma, Rahul; Draheim, Dirk; Tiwari, PrayagIEEE Access2022 / p. 50624-50640 https://doi.org/10.1109/ACCESS.2022.3172303 https://www.scopus.com/sourceid/21100374601 https://www.scopus.com/record/display.uri?eid=2-s2.0-85130787211&origin=inward&txGid=f9d62aed4ad710f2e3973d07230f5e56 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000797458000001
• Optimal use of spectral information for waste paper detectionPõlder, Ahti; Juurma, Märt; Tamre, MartProceedings of the 9th International Conference of DAAAM Baltic Industrial Engineering, 24-26th April 2014, Tallinn, Estonia2014 / p. 273-277 : ill
• Performing feature extraction and selection for pattern discovery in noisy acoustic dataAstapov, Sergei; Riid, Andri; Preden, Jürgo-SörenDoctoral School in Information and Communication Technology : proceedings of doctoral session of BEC 2014 : October 6-8 2014, Laulasmaa2014 / p. 3-6 : ill
• Shape classification using hydrodynamic detection via a sparse large-scale 2D-sensitive artificial lateral lineWolf, Ben J.; Pirih, Primoz; Kruusmaa, Maarja; Van Netten, Sietse M.IEEE Access2020 / p. 11393 - 11404 https://doi.org/10.1109/ACCESS.2020.2965316 https://www.scopus.com/sourceid/21100374601 https://www.scopus.com/record/display.uri?eid=2-s2.0-85078797703&origin=inward&txGid=68ebb0c4a4d7c1172764eeee8f46100e https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000525406600058
• 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