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Predicting psychiatric diseases using autoAI : a performance analysis based on health insurance billing dataBertl, Markus; Ross, Peeter; Draheim, DirkDatabase and Expert Systems Applications : 32nd International Conference, DEXA 2021, Virtual Event, September 27-30, 2021 : proceedings. Part I2021 / p. 104-111 https://doi.org/10.1007/978-3-030-86472-9_9 Conference proceedings at Scopus Article at Scopus Conference proceedings at WOS Article at WOS

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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

302

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Predicting students final test results based on previous grades and demographicsPentel, Avar; Kaiva, Lisanne-LiisThe 11th International Conference on Information, Intelligence, Systems and Applications : IISA 2020, 15-17 July 2020, University of Piraeus, Greece2020 / p. 377-382 https://doi.org/10.1109/IISA50023.2020.9284401

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303

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Predictive analytics beyond time series : predicting series of events extracted from time series dataMishra, Sambeet; Bordin, Chiara; Taharaguchi, Kota; Purkayastha, AdriWind Energy2022 / p. 1596-1609 https://doi.org/10.1002/we.2760 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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304

dissertation

Predictive systems using machine learning tools to forecast adverse events during medical stays = Ennustavad süsteemid, mis kasutavad masinõppe vahendeid kõrvalekallete prognoosimiseks haiglas viibimise ajalBignoumba, Nzamba2024 https://doi.org/10.23658/taltech.49/2024 https://www.ester.ee/record=b5700796*est https://digikogu.taltech.ee/et/Item/19abb999-27b2-46a1-8fe6-1f1c43a5fe0d

dissertation

Related publications 3

305

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Pre-evaluation of wave energy converter deployment in the Baltic Sea through site limitations using CMEMS hindcast, Sentinel-1, and wave Buoy dataVidjajev, Nikon; Rikka, Sander; Alari, VictorEnergies2025 / art. 3843 https://doi.org/10.3390/en18143843

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306

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PrefaceJallouli, Rim; Tobji, Mohamed Anis Bach; Mcheick, Hamid; Piho, GunnarDigital Economy. Emerging Technologies and Business Innovation : 6th International Conference on Digital Economy, ICDEc 2021, Tallinn, Estonia, July 15–17, 2021 : proceedings2021 / p. v–vi https://link.springer.com/content/pdf/bfm:978-3-030-92909-1/1 Collection metrics at Scopus Article at Scopus

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307

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Preliminary analysis of bearing current faults for predictive maintenanceKudelina, Karolina; Raja, Hadi Ashraf; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van Khang2023 IEEE International Conference on Electric Machines and Drives (IEMDC)2023 / 5 p. : ill https://doi.org/10.1109/IEMDC55163.2023.10238934

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Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil

308

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Preliminary analysis of global parameters of induction machine for fault prediction in rotor barsKudelina, Karolina; Raja, Hadi Ashraf; Autsou, Siarhei; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Kallaste, Ants2022 IEEE 20th International Power Electronics and Motion Control Conference (PEMC) : Brasov, Romania, 25-28 Sept. 2022 : proceedings2022 / p. 243-248 : ill https://doi.org/10.1109/PEMC51159.2022.9962922

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309

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Preliminary results in using attention for increasing attack identification efficiencyAhmad, Tanwir; Truscan, Dragos; Vain, Jüri2023 IEEE 16th International Conferenceon Software Testing, Verification andValidation Workshops, ICSTW 2023, 16-20 April 2023, Dublin, Ireland, Proceedings2023 / p. 159 - 164 https://doi.org/10.1109/ICSTW58534.2023.00038

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310

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A primer on public safety communication in the context of terror attacks: the NATO SPS “COUNTER-TERROR” projectAlam, Muhammad Mahtab; Le Moullec, Yannick; Ahmad, Rizwan; Magarini, Maurizio; Reggiani, LucaAdvanced Technologies for Security Applications : Proceedings of the NATO Science for Peace and Security 'Cluster Workshop on Advanced Technologies', 17-18 September 2019, Leuven, Belgium2020 / p. 19-34 https://doi.org/10.1007/978-94-024-2021-0_3 Article collection metrics at Scopus Article at Scopus

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311

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ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNsMousavi, Seyedhamidreza; Ahmadilivani, Mohammad Hasan; Raik, Jaan; Jenihhin, Maksim; Daneshtalab, MasoudarXiv.org2024 / 12 p. : ill https://doi.org/10.48550/arXiv.2406.06313

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Assessment and Enhancement of Hardware Reliability for Deep Neural Networks = Riistvara töökindluse hindamine ja täiustamine süvanärvivõrkude jaoks

312

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A probabilistic synapse with strained MTJs for Spiking Neural NetworksPagliarini, Samuel Nascimento; Bhuin, Sudipta; Isgenc, Mehmet Meric; Biswas, Ayan Kumar; Pileggi, LarryIEEE Transactions on Neural Networks and Learning Systems2020 / p. 1113-1123 : ill https://doi.org/10.1109/TNNLS.2019.2917819

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313

dissertation

Probing the Milky Way’s dark matter halo in the Gaia and machine learning era = Linnutee galaktika tumeaine halo uurimine Gaia ja masinõppe ajastulPõder, Sven2025 https://www.ester.ee/record=b5973490*est https://digikogu.taltech.ee/et/Item/59573d2a-16c2-4fca-97fb-34b9ac6e61c3 https://doi.org/10.23658/taltech.93/2025

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Related publications 3

314

newspaper article

Professor Sven Nõmm AI toimimisest: auto kapoti alt leiad mootori ja tehisintellekti kapoti alt leiad masinõppeNõmm, Svengeenius.ee2024 Professor Sven Nõmm AI toimimisest: auto kapoti alt leiad mootori ja tehisintellekti kapoti alt leiad masinõppe

newspaper article

315

book

Programmi RITA tegevuse 1 projekti „Masinõppe ja AI toega teenused“ lõpparuanneSolvak, Mihkel; Vilo, Jaak; Reisberg, Sulev; Tamm, Sirli; Oja, Marek; Ligi, Kadri; Unt, Taavi; Võrk, Andres; Leets, Peeter; Tammet, Tanel; Vaarandi, Risto; Nõmm, Sven; Lepik, Toomas; Lember, Veiko; Nõmmik, Steven; Noordt, Colin Pascal van; Kerikmäe, Tanel2022 Programmi RITA tegevuse 1 projekti „Masinõppe ja AI toega teenused“ lõpparuanne

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316

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Radio spectrum and power optimization cognitive techniques for wireless body area networks = Raadiospektri ja võimsuse optimeerimise kognitiivsed tehnikad traadita kehavõrkudeleAhmed, Tauseef2017 https://digi.lib.ttu.ee/i/?7677 https://www.ester.ee/record=b4677631*est

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317

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Real-time gait anomaly detection using SVM time series classificationRostovski, Jakob; Krivošei, Andrei; Kuusik, Alar; Alam, Muhammad Mahtab; Ahmadov, Ulvi2023 International Wireless Communications and Mobile Computing (IWCMC)2023 / p. 1389-1394 https://doi.org/10.1109/IWCMC58020.2023.10182666

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Development of methods for real-time in-step anomaly detection in gait analysis = Reaalajaliste meetodite arendus sammusiseste kõrvalkallete tuvastamiseks kõnnianalüüsis

318

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Reinforcement Learning-based Energy Management Strategy for Flexible Hybrid ac/dc MicrogridGutiérrez-Escalona, Javier; Roncero-Clemente, Carlos; Husev, Oleksandr; Matiushkin, Oleksandr; Barrero-González, Fermín; González-Romera, EvaIECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society2025 / 6 p https://doi.org/10.1109/IECON55916.2024.10905501 Conference proceedings at Scopus Article at Scopus

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319

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Relatedness and Product Complexity Meet Gravity Models of International TradeTiits, Marek; Kalvet, Tarmo; Ounoughi, Chahinez; Ben Yahia, SadokJournal of open innovation: technology, market, and complexity2024 / art. 100288 https://doi.org/10.1016/j.joitmc.2024.100288 Journal metrics at Scopus Article at Scopus

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320

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Residential DC load forecasting using long short-term memory network (LSTM)Shabbir, Noman; Ahmadiahangar, Roya; Rosin, Argo; Husev, Oleksandr; Jalakas, Tanel; Martins, Joao2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE)2023 / p. 131-136 https://doi.org/10.1109/SEGE59172.2023.10274596

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Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteemShabbir, Noman2022 https://doi.org/10.23658/taltech.37/2022 https://digikogu.taltech.ee/et/Item/2c178a6b-f918-4932-bd1b-48fefb7fc7aa https://www.ester.ee/record=b5503996*est

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322

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Residential load forecasting for flexibility prediction using machine learning-based regression modelAhmadiahangar, Roya; Häring, Tobias; Rosin, Argo; Korõtko, Tarmo; Martins, Joao2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)2019 / 4 p. : ill https://doi.org/10.1109/EEEIC.2019.8783634

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Residential load forecasting using machine learning techniques : a comparative analysisShabbir, Noman20th International Symposium "Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III" : Tallinn, Estonia, September 8-10, 20212021 / p. 73-74 : ill https://www.ester.ee/record=b5457278*est

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Residential load forecasting using recurrent neural networksShabbir, Noman; Ahmadiahangar, Roya; Raja, Hadi Ashraf; Kütt, Lauri; Rosin, Argo2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings2020 / p. 478-481 : ill https://doi.org/10.1109/CPE-POWERENG48600.2020.9161565

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A review on remote-sensing-based harmful cyanobacterial bloom monitoring servicesJanatian, Nasim; Raudsepp, Urmas; Broomandi, Parya; Fickas, Kate; Olli, Kalle; Heimovaara, Timo; Männik, Aarne; Uiboupin, Rivo; Pahlevan, NimaRemote sensing applications society and environment2025 / art. 101488 https://doi.org/10.1016/j.rsase.2025.101488

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