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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

book article

Seotud publikatsioonid 1

Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks

2

book article

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

book article

3

book article

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

book article

Seotud publikatsioonid 1

Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks

4

journal article EST / journal article ENG

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 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG

5

book article

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

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6

journal article EST / journal article ENG

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 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG

7

book article

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

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book article

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

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9

journal article EST / journal article ENG

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 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

journal article EST / journal article ENG

10

book article

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

book article

feature selection (keyword)

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