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Experts still needed : boosting long-term android malware detection with active learningGuerra-Manzanares, Alejandro; Bahsi, HayretdinJournal of Computer Virology and Hacking Techniques2024 / p. 901 - 918 https://doi.org/10.1007/s11416-024-00536-y Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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152

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Explainability and transparency of classifiers for air-handling unit faults using explainable artificial intelligence (XAI)Meas, Molika; Machlev, Ram; Köse, Ahmet; Tepljakov, Aleksei; Loo, Lauri; Levron, Yoash; Petlenkov, Eduard; Belikov, JuriSensors2022 / art. 6338 : ill https://doi.org/10.3390/s22176338 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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153

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Explainability-based trust algorithm for electricity price forecasting modelsHeistrene, Leena; Machlev, Ram; Perl, Michael; Belikov, Juri; Baimel, Dmitry; Levy, Kfir; Mannor, Shie; Levron, YoashEnergy and AI2023 / art 100259, 18 p https://doi.org/10.1016/j.egyai.2023.100259 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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154

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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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155

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Explaining the decisions of power quality disturbance classifiers using latent space featuresMachlev, Ram; Perl, Michael; Caciularu, Avi; Belikov, Juri; Levy, Kfir Yehuda; Levron, YoashInternational journal of electrical power & energy systems2023 / art. 108949 https://doi.org/10.1016/j.ijepes.2023.108949 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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156

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Exploration of Activation Fault Reliability in Quantized Systolic Array-Based DNN AcceleratorsTaheri, Mahdi; Cherezova, Natalia; Ansari, Mohammad Saeed; Jenihhin, Maksim; Mahani, Ali; Daneshtalab, Masoud; Raik, JaanProceedings of the Twenty Fifth International Symposium on Quality ElectronicDesign : ISQED 20242024 / 8 p. : ill https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10528372 https://doi.org/10.1109/ISQED60706.2024.10528372 Conference proceedings at Scopus Article at Scopus Article at WOS

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Methods for reliability assessment and enhancement of deep neural networks hardware accelerators = Süvanärvivõrkude riistvara kiirendite töökindluse hindamine ja täiustamine

157

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Exploring the Impact of Feature Selection on Non-Stationary Intrusion Detection Models in IoT NetworksRehman, Muaan Ur; Bahsi, Hayretdin; Kalakoti, Rajesh2025 22nd Annual International Conference on Privacy, Security, and Trust (PST) : Fredericton, NB, Canada, 2025 : conference proceedings2025 / 10 p https://doi.org//10.1109/PST65910.2025.11268886

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Explainable artificial intelligence-based intrusion detection systems = Selgitaval tehisintellektil baseeruvad ründetuvastussüsteemid

158

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Extensive review of microwave filter tuning techniques with a novel tuning technique based on Dezert–Smarandache theory and machine learningSekhri, Even; Kapoor, Rajiv; Tamre, MartEngineering applications of artificial intelligence2026 / art. 113330 https://doi.org/10.1016/j.engappai.2025.113330

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159

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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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160

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Fall detection and activity recognition system for usage in smart work-wear [Online resource]Leier, Mairo; Jervan, Gert; Allik, Ardo; Pilt, Kristjan; Karai, Deniss; Fridolin, IvoBEC 2018 : 2018 16th Biennial Baltic Electronics Conference (BEC) : proceedings of the 16th Biennial Baltic Electronics Conference, October 8-10, 20182018 / 4 p.: ill https://doi.org/10.1109/BEC.2018.8600959

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161

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FedBranched : leveraging federated learning for anomaly-aware load forecasting in energy networksManzoor, Habib Ullah; Khan, Ahsan Raza; Flynn, David; Alam, Muhammad Mahtab; Akram, Muhammad; Imran, Muhammad Ali; Zoha, AhmedSensors2023 / art. 3570 https://doi.org/10.3390/s23073570 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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162

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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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163

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Forecasting Corona Losses on High Voltage Transmission Lines Using Machine LearningGupta, Pradeep Kumar; Tuttelberg, Kaur; Kilter, JakoIEEE transactions on power delivery2025 / p. 2696-2705 https://doi.org/10.1109/TPWRD.2025.3593923

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164

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Forecasting demand-side flexibility of a household with dynamic consumer behavior analysisShahid, Arqum; Ahmadiahangar, Roya; Rosin, Argo; Korõtko, TarmoIEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe 2024) : proceedings2024 / 5 p https://doi.org/10.1109/ISGTEUROPE62998.2024.10863005 Article at Scopus Article at WOS

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165

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Forecasting of absolute dynamic topography by utilizing machinelearning with synergy of satellite altimetry dataDelpeche-Ellmann, Nicole Camille; Rajabi-Kiasari, Saeed; Ellmann, Artu13th Coastal Altimetry Workshop & Coastal Altimetry Training, 6-10 February 2023, Universidad de Cádiz, Spain : abstract2023 / p. 42 https://www.coastalaltimetry.org/NikalWebsitePortal/coastal-altimetry-workshop/esa/ExtraContent/ContentSubPage?page=8&subPage=3

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166

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Forecasting of energy consumption and production using recurrent neural networksShabbir, Noman; Kütt, Lauri; Jawad, Muhammad; Iqbal, Muhammad Naveed; Shams Ghahfarokhi, PayamAdvances in electrical and electronic engineering2020 / p. 190−197 https://doi.org/10.15598/aeee.v18i3.3597 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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167

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Forecasting sea level maxima using machine learning models in the Baltic SeaRajabi-Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuInternational Liège Colloquium 2024 : Ocean Extremes2024 / 1 p https://gher-uliege.github.io/liege-colloquium-2024/abstracts/2024-01-26_12:01:45_IP_193.40.250.130.pdf

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Forecasting sea level maxima using machine learning with explainability and extreme value analysisRajabi-Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, Artu; Soomere, TarmoInternational journal of applied earth observation and geoinformation2026 / art. 105064 https://doi.org/10.1016/j.jag.2025.105064

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169

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Forecasting short term wind energy generation using machine learningShabbir, Noman; Ahmadiahangar, Roya; Kütt, Lauri; Iqbal, Muhammad Naveed; Rosin, Argo2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), 7-9 October 2019 : conference proceedings2019 / 4 p https://doi.org/10.1109/RTUCON48111.2019.8982365

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170

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Fourier neural operators for emulating ocean models : Towards a knowledge-driven machine learningJahanmard, Vahidreza; Ellmann, Artu; Delpeche-Ellmann, Nicole CamilleEGU General Assembly 20252025 / art. EGU25-4354 https://doi.org/10.5194/egusphere-egu25-4354

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171

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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

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172

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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

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Data-driven urban modelling : the case of explainable detection of urban heat island = Andmepõhine linnamodelleerimine : soojussaarte seletatav tuvastamine

173

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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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174

dissertation

Fully automated tuning of microwave coaxial cavity filters = Mikrolaine-koaksiaalfiltrite täisautomaatne häälestamineSekhri, Even2024 https://www.ester.ee/record=b5685094*est https://digikogu.taltech.ee/et/Item/38784e65-568e-4dd9-aef9-bb5eec5a2a9c https://doi.org/10.23658/taltech.20/2024

dissertation

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175

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Future opportunities for systematic AI support in healthcareBertl, Markus; Piho, Gunnar; Draheim, Dirk; Ross, Peeter; Pechmann, Ludwig; Bucciarelli, Nicholas; Sharma, RahulBridging the Gap Between AI and Reality : First International Conference, AISoLA 2023, Crete, Greece, October 23–28, 2023, Selected Papers2024 / p. 203 - 224 https://doi.org/10.1007/978-3-031-73741-1_13 Conference Proceedings at Scopus Article at Scopus

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