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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

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Effects of annotation quality on model performanceAlhazmi, Khaled; Alsumari, Walaa; Seppo, Indrek; Podkuiko, Lara; Simon, Martin2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC), 13-16 April 20212021 / p. 063–067 https://doi.org/10.1109/ICAIIC51459.2021.9415271

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Ensemble approach for detection of depression using EEG featuresAvots, Egils; Jermakovs, Klavs; Bachmann, Maie; Päeske, Laura; Ozcinar, Cagri; Anbarjafari, GholamrezaEntropy2022 / art. 211 https://doi.org/10.3390/e24020211 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Estimating quality of transmission in a live production network using machine learningMüller, Jasper; Fehenberger, Tobias; Patri, Sai Kireet; Kaeval, Kaida; Griesser, Helmut; Tikas, Marko; Elbers, Jörg-Peter2021 Optical Fiber Communications Conference and Exhibition (OFC) : 6-10 June 2021 : San Francisco, CA, USA2021 / paper Tu1G.2, 3 p https://ieeexplore.ieee.org/abstract/document/9489940

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Experimental demonstration of ML-based DWDM system margin estimationMüller, Jasper; Slyne, Frank; Kaeval, Kaida; Troia, Sebastian; Fehenberger, Tobias; Elbers, Jörg-Peter; Kilper, Daniel C.; Ruffini, Marco; Mas-Machuca, CarmenOptical Fiber Communications Conference and Exhibition, OFC 2023 : Proceedings2023 / paper Tu2F.2., 3 p. : ill https://opg.optica.org/abstract.cfm?URI=OFC-2023-Tu2F.2

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Explainable AI based fault detection and diagnosis system for air handling unitsBelikov, Juri; Meas, Molika; Machlev, Ram; Köse, Ahmet; Tepljakov, Aleksei; Loo, Lauri; Petlenkov, Eduard; Levron, YoashProceedings of the 19th International Conference on Informatics in Control, Automation and Robotics - ICINCO, 2022 , Lisbon, Portugal2022 / p. 271-279 https://doi.org/10.5220/0011350000003271

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Extracting ontologies from relational databasesAstrova, IrinaProceedings of the 22nd IASTED International Conference on Databases and Applications (DBA)2004 / p. 56-61 https://spiral.imperial.ac.uk/bitstream/10044/1/52670/7/FAIA291-0043.pdf

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Finding Potential Phase Change Materials Among Ionic Liquids with The Aid of Machine Learning ModelKaljusmaa, Liisa-Maria; Järvik, OliverConference Book : International Conference in Chemistry and Chemical Technology2023 / p. 71 https://www.cct2023.chgf.vu.lt/images/2023/CCT_2023_Conference_book.pdf

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Fractional order sliding mode controller based on supervised machine learning techniques for speed control of PMSMZahraoui, Younes; Zaihidee, Fardila M.; Kermadi, Mostefa; Mekhilef, Saad; Mubin, Marizan; Tang, Jing Rui; Zaihidee, Ezrinda M.Mathematics2023 / art. 1457 https://doi.org/10.3390/math11061457 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

From near real-time urban data to an explainable city-scale model to help reduce the Urban Heat Island (UHI) effectEslamirad, Nasim; De Luca, Francesco; Ben Yahia, Sadok; Lylykangas, Kimmo SakariJournal of Physics: Conference Series2023 / art. 092012, p. 1-6 : ill https://doi.org/10.1088/1742-6596/2600/9/092012 Conference proceedings at Scopus Article at Scopus

From sensors to Dempster-Shafer theory and back : the axiom of ambiguous sensor correctness and its applicationsDraheim, Dirk; Tammet, TanelDatabase and Expert Systems Applications : 31st International Conference, DEXA 2020, Bratislava, Slovakia, September 14–17, 2020 : Proceedings, Part I2020 / p. 3-19 https://doi.org/10.1007/978-3-030-59003-1_1 Conference proceedings at Scopus Article at Scopus Conference proceedings at WOS Article at WOS

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Generation of unmeasured loading levels data for condition monitoring of induction machine using machine learningBillah, Md Masum; Saberi, Alireza Nemat; Hemeida, Ahmed; Martin, Floran; Kudelina, Karolina; Asad, Bilal; Naseer, Muhammad Usman; Mukherjee, Victor; Belahcen, AnouarIEEE transactions on magnetics2023 https://doi.org/10.1109/TMAG.2023.3312267

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Health index prediction of overhead transmission lines : a machine learning approachManninen, Henri; Kilter, Jako; Landsberg, MartIEEE transactions on power delivery2022 / p. 50-58 https://doi.org/10.1109/TPWRD.2021.3052721 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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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

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An improved cooperative team spraying control of a diffusion process with a moving or static pollution sourceChen, Juan; Cui, Baotong; Chen, YangQuan; Zhuang, BoIEEE/CAA Journal of Automatica Sinica2020 / p. 494 - 504 : ill https://doi.org/10.1109/JAS.2019.1911519

Improved fault classification and localization in power transmission networks using vae-generated synthetic data and machine learning algorithmsKhan, Muhammad Amir; Asad, Bilal; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van KhangMachines2023 / art. 963 https://doi.org/10.3390/machines11100963 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Improving Arabic text to image mapping using a robust machine learning techniqueZakraoui, Jezia; Elloumi, Samir; Alja'am, Jihad Mohamad; Ben Yahia, SadokIEEE Access2019 / p. 18772 - 18782 : ill https://doi.org/10.1109/ACCESS.2019.2896713 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Lowering uncertainty of cancer classificationOkun, O.; Priisalu, HelenProceedings of IPMU'082008 / p. 543-550 : ill

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Machine learning Forecasting of Absolute Dynamic Topography in the Baltic SeaRajabi-Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuNordic Geodetic Commission General Assembly 2022 in Copenhagen : Poster Session2022 / 36 l. https://medialib.cmcdn.dk/medialibrary/010C1367-E991-4A33-AB10-1953247E9C23/530AEABD-3A25-ED11-84B6-00155D0B0940.pdf

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Machine learning prediction for filling the interruptions of tide gauge data using a least square estimation method from nearest stationsJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuGeodesy for a Sustainable Earth, Scientific Assembly of the International Association of Geodesy : abstract book2021 / S5-030 p. 529 https://mm.sciconf.cn/en/minisite/poster-detail-new/1646?poster_id=1563508 https://files.sciconf.cn/upload/file/20210626/20210626085039_69146.pdf

Machine learning task as a diclique extracting taskKuusik, Rein, inform.; Treier, Tarvo; Lind, Grete; Roosmann, Peeter2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery : FSKD'09 : Tianjin, China, August 14-16, 2009. 12009 / p. 555-560 https://ieeexplore.ieee.org/document/5358516

Machine learning techniques for wireless-powered ambient backscatter communications : enabling intelligent iot networks in 6g eraJameel, Furqan; Sharma, Navuday; Khan, Muhammad Awais; Khan, Imran; Alam, Muhammad Mahtab; Alam, Muhammad Mahtab; Mavromoustakis, Constandinos X.Internet of Things / 2020 https://doi.org/10.1007/978-3-030-44907-0_8 Article collection metrics at Scopus Article at Scopus

Machine learning to tackle the challenges of transient and soft errors in complex circuitsLange, Thomas; Balakrishnan, Aneesh; Glorieux, Maximilien; Alexandrescu, Dan; Sterpone, Luca2019 IEEE 25th International Symposium on On-Line Testing and Robust System Design (IOLTS), 1-3 July 2019, Greece2019 / p. 7-14 : ill https://doi.org/10.1109/IOLTS.2019.8854423

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Machine learning-based optimization design workflow based on obstruction angles for building facadesSepulveda Luque, Abel; Eslamirad, Nasim; Seyed Salehi, Seyed Shahabaldin; Thalfeldt, Martin; De Luca, FrancescoRegenerating the City Performance-driven and Simulation-based Computational Design for Sustainable Cities and Communities : proceedings of the 9th Regional International Symposium on Education and Research in Computer Aided Architectural Design in Europe, Tallinn University of Technology, 15-16 June 20232023 / p. 15-24 https://digikogu.taltech.ee/et/Item/c29fc911-ec34-45da-afe6-bc1e8515e15d

Machine learning-based prediction of specific energy consumption for cut-off grindingAwan, Muhammad Rizwan; Rojas, Hernan A. Gonzalez; Hameed, Saqib; Riaz, Fahid; Hamid, Shahzaib; Hussain, AbrarSensors2022 / art. 7152 https://doi.org/10.3390/s22197152 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Malicious accounts detection from online social networks : a systematic review of literatureBen Sassi, Imen; Ben Yahia, SadokInternational Journal of General Systems2021 / p. 741−814 https://doi.org/10.1080/03081079.2021.1976773 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Multi-Rate Vibration Signal Analysis for Enhanced Data-Driven Monitoring of Bearing Faults in Induction MachinesEl Bouharrouti, Nada; Koveshnikov, Semen; Garcia-Calva, Tomas Alberto; Vehvilainen, Milla; Kudelina, Karolina; Naseer, Muhammad Usman; Vaimann, Toomas; Belahcen, Anouar2024 International Conference on Electrical Machines, ICEM 20242024 / 7 p. http://dx.doi.org/10.1109/ICEM60801.2024.10700488

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Neuro-fuzzy approach for fault prediction of mechanical bearing faults using vibration analysisShirokova, Veroonika; Kudelina, Karolina; Raja, Hadi Ashraf; Rjabtšikov, Viktor; Baraškova, Tatjana; Nutonen, KarleIECON Proceedings (Industrial Electronics Conference) IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society2024 / p. 1-6 https://doi.org/10.1109/IECON55916.2024.10905990

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Numerical association rule mining : a systematic literature reviewKaushik, Minakshi; Sharma, Rahul; Fister, Iztok jr.; Draheim, DirkarXiv.org2023 / 50 p. : ill https://doi.org/10.48550/arXiv.2307.00662

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Optimal Q-learning approach for tuning the cavity filtersSekhri, Even; Tamre, Mart; Kapoor, Rajiv2019 20th International Conference on Research and Education in Mechatronics (REM) : [proceedings]2019 / 5 p. : ill https://doi.org/10.1109/REM.2019.8744118

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