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151

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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

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152

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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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153

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Estimating UWB positioning integrity based on ranging residualsTommingas, Mihkel; Ulp, Sander; Alam, Muhammad Mahtab; Müürsepp, Ivo; Laadung, Taavi2023 24th International Conference on Applied Electromagnetics and Communications (ICECOM)2023 / 5 p https://doi.org/10.1109/ICECOM58258.2023.10367954

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Enhancing UWB and multi-sensor positioning with ML-based uncertainty estimation = Ülilairiba ja mitme sensoriga positsioneerimissüsteemide täpsuse parandamine masinõppe meetodil

154

newspaper article

Euroopa oma tehismõistusTammet, Tanel; Liiv, InnarSirp2020 / lk. 33-34 : ill https://www.sirp.ee/s1-artiklid/c21-teadus/euroopa-oma-tehismoistus/ https://www.ester.ee/record=b1072938*est

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155

book article

Evaluating the robustness of ML models to out-of-distribution data through similarity analysisLindén, Joakim; Forsberg, Håkan; Daneshtalab, Masoud; Söderquist, IngemarNew Trends in Database and Information Systems; ADBIS 2023 Short Papers, Doctoral Consortium and Workshops: AIDMA, DOING, K-Gals, MADEISD, PeRS, Barcelona, Spain, September 4–7, 2023, Proceedings2023 / p. 348 - 359 https://doi.org/10.1007/978-3-031-42941-5_30

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156

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Evaluation of data quality in the Estonian National Health Information System for digital decision supportBertl, Markus; Kankainen, Kristian Juha Ismo; Piho, Gunnar; Draheim, Dirk; Ross, PeeterProceedings of the 3rd International Health Data Workshop (HEDA 2023) co-located with Software Technologies: Applications and Foundations (STAF 2023) : Leicester, United Kingdom, July 21, 2023. Vol. 34402023 / paper 1, 13 p. : ill https://ceur-ws.org/Vol-3440/paper1.pdf Conference proceedings at Scopus Article at Scopus

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Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik

157

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Evaluation of deep learning-based depression detection using medical claims dataBertl, Markus; Bignoumba, Nzamba; Ross, Peeter; Ben Yahia, Sadok; Draheim, DirkArtificial intelligence in medicine2024 / art. 102745, 16 p. : ill https://doi.org/10.1016/j.artmed.2023.102745 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajal

158

journal article

Evaluation of deep learning-based depression detection using medical claims data : preprintBertl, Markus; Bignoumba, Nzamba; Ross, Peeter; Ben Yahia, Sadok; Draheim, DirkSSRN2023 / p. 1-34 : ill https://doi.org/10.2139/ssrn.4478987

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Systematic AI support for psychiatry : a framework on how to implement decision support systems = Tehisintellekti süstemaatiline kasutamine psühhiaatrias : otsustustoe rakendamist toetav raamistik

159

book article

Evelekt AS turnover forecasting using the machine learning methodReiman, RiidoAI IN BUSINESS : proceedings of the scientific workshop on business implications of artificial intelligence, June 7, 20222022 / p. 58-60 : ill https://www.ester.ee/record=b5506022*est https://digikogu.taltech.ee/et/Item/2096bada-661d-4928-99a7-bfbce51825d8

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160

journal article

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

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

161

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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

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

162

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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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163

book article

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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164

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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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165

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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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166

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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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167

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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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168

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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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169

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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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170

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Explainable AI based System for Supply Air Temperature ForecastEik, Marika; Köse, Ahmet; Nourollahi Hokmabad, Hossein; Belikov, JuriIEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), Valletta, Malta, 2025 : proceedings2025 / 5 p. : ill

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171

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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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172

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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

173

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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

174

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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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175

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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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