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151

artikkel ajakirjas

Evolutionary algorithms for hyperparameter optimization in machine learning for application in high energy physicsTani, Laurits; Rand, Diana; Veelken, Christian; Kadastik, MarioThe European Physical Journal C2021 / art. 170, 9 p. : ill https://doi.org/10.1140/epjc/s10052-021-08950-y

artikkel ajakirjas

Seotud publikatsioonid 1

Measurement of Higgs boson properties in leptonic final states using ML-methods = Higgsi bosoni omaduste mõõtmine leptoneid sisaldavates kanalites kasutades masinõppe meetodeid

152

artikkel ajakirjas

Evolutionary algorithms for hyperparameter optimization in machine learning for application in high energy physics : [preprint]Tani, Laurits; Rand, Diana; Veelken, Christian; Kadastik, MarioarXiv.org2021 / 11 p. : ill https://doi.org/10.48550/arXiv.2011.04434

artikkel ajakirjas

Seotud publikatsioonid 1

Measurement of Higgs boson properties in leptonic final states using ML-methods = Higgsi bosoni omaduste mõõtmine leptoneid sisaldavates kanalites kasutades masinõppe meetodeid

153

artikkel ajakirjas EST / artikkel ajakirjas ENG

An exhaustive multi-aspect analysis of swarm intelligence algorithms in numerical association rule miningKaushik, Minakshi; Sharma, Rahul; Koiva, Pilleriin; Fister, Iztok; Draheim, DirkIEEE Access2024 / p. 138985 - 139002 https://doi.org/10.1109/ACCESS.2024.3417334 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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154

artikkel kogumikus

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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155

artikkel kogumikus

An experimental pipeline for automated reasoning in natural language (short paper)Tammet, Tanel; Järv, Priit; Verrev, Martin; Draheim, DirkAutomated Deduction – CADE 29, 29th International Conference on Automated Deduction, Rome, Italy, July 1–4, 2023 : proceedings2023 / p. 509-521 https://doi.org/10.1007/978-3-031-38499-8_29 Conference proceedings at Scopus Article at Scopus Article at WOS

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156

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Experiments with LLMs for converting language to logicTammet, Tanel; Järv, Priit; Verrev, Martin; Draheim, DirkNeural-Symbolic Learning and Reasoning : 18th International Conference, NeSy 2024, Barcelona, Spain, September 9–12, 2024, Proceedings, Part II2024 / p. 305 - 314 https://doi.org/10.1007/978-3-031-71170-1_24 Conference Proceedings at Scopus Article at Scopus Article at WOS

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157

artikkel ajakirjas EST / artikkel ajakirjas ENG

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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158

artikkel ajakirjas EST / artikkel ajakirjas ENG

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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159

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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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160

artikkel kogumikus

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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161

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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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162

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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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Seotud publikatsioonid 1

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

163

artikkel kogumikus

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

artikkel kogumikus

Seotud publikatsioonid 1

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

164

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Exploring various sequential learning methods for deformation history modelingYatkin, Muhammed Adil; Kõrgesaar, Mihkel; Romanoff, Jani; Stuckner, Joshua; Islak, Umit; Kurban, HasanEngineering Applications of Neural Networks : 26th International Conference, EANN 2025, Limassol, Cyprus, June 26–29, 2025, Proceedings ; Part I2025 / p. 168-180 https://doi.org/10.1007/978-3-031-96196-0_13

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165

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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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166

artikkel kogumikus

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

artikkel kogumikus

167

artikkel kogumikus

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

artikkel kogumikus

168

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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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169

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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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170

artikkel ajakirjas EST / artikkel ajakirjas ENG

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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171

artikkel kogumikus

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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172

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Forecasting household demand-side flexibility using XGBoost for smart energy managementQadar, Rana Muhammad Arslan; Shabbir, Noman; Kütt, Lauri; Daniel, Kamran; Peterson, Kristjan; Rosin, Argo2025 IEEE 66th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)2025 / 7 p https://doi.org/10.1109/RTUCON67996.2025.11415089

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173

artikkel kogumikus

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

artikkel kogumikus

174

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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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175

artikkel kogumikus

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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