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Forecasting of Sea Level Extremes using Deep Learning and Extreme Value AnalysisDelpeche-Ellmann, Nicole Camille; Rajabi-Kiasari, Saeed; Soomere, Tarmo; Ellmann, ArtuEGU General Assembly 20252025 / art. EGU25-13350 https://meetingorganizer.copernicus.org/EGU25/EGU25-13350.html https://doi.org/10.5194/egusphere-egu25-13350

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Generative adversarial networks as a data augmentation tool for CNN-based Parkinson's disease diagnosticsDzotsenidze, Erik; Valla, Elli; Nõmm, Sven; Medijainen, Kadri; Taba, Pille; Toomela, AaroIFAC-Papers OnLine2022 / p. 108-113 : ill https://doi.org/10.1016/j.ifacol.2022.10.240 Conference Proceedings at Scopus Article at Scopus Article at WOS

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Leveraging artiﬁcial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseks

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book article

Hardware Trojans for confidence reduction and misclassifications on neural networksGrailoo, Mahdieh; Leier, Mairo; Pagliarini, Samuel NascimentoProceedings Of The Twenty Third International Symposium On Quality Electronic Design (ISQED 2022)2022 / art. 180541, p. 230-235 https://doi.org/10.1109/ISQED54688.2022.9806246

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Image-Based pavement type classification with convolutional neural networksRiid, Andri; Manna, Davide Liberato; Astapov, SergeiINES 2020 : IEEE 24th International Conference on Intelligent Engineering Systems, July 8-10, 2020, Reykjavik, Iceland : proceedings2020 / p. 55-60 : ill https://doi.org/10.1109/INES49302.2020.9147199

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Kolmogorov-Arnold networks for algorithm design in battery energy storage system applicationsZequera, Rolando Antonio Gilbert; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, AntsEnergy Reports2025 / p. 2664-2677 https://doi.org/10.1016/j.egyr.2025.02.002

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Artificial Intelligence-Based Predictive Analytics for Battery Energy Storage Systems in Electric Vehicle Applications = Tehisintellektil põhinev ennustav andmeanalüüs akupõhiste energiasalvestussüsteemide jaoks elektrisõidukites

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Learning from few cyber-attacks : addressing the class imbalance problem in machine learning-based intrusion detection in software-defined networkingMirsadeghi, Seyed Mohammad Hadi; Bahsi, Hayretdin; Vaarandi, Risto; Inoubli, WissemIEEE Access2023 / p. 140428 - 140442 https://doi.org/10.1109/ACCESS.2023.3341755 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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A light-weight CNN model for efficient Parkinsons disease diagnosticsWang, Xuechao; Huang, Junqing; Chatzakou, Marianna; Medijainen, Kadri; Taba, Pille; Toomela, Aaro; Nõmm, Sven; Ruzhansky, Michael36th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2023, Aquila, 22-24 June 20232023 / p. 616-621 https://doi.org/10.1109/CBMS58004.2023.00289 Conference proceedings at Scopus Article at Scopus Article at WOS

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Machine learning and deep learning techniques for residential load forecasting : a comparative analysisShabbir, Noman; Kütt, Lauri; Raja, Hadi Ashraf; Ahmadiahangar, Roya; Rosin, Argo; Husev, Oleksandr2021 IEEE 62nd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON): conference proceedings2021 / p. 1-5 https://doi.org/10.1109/RTUCON53541.2021.9711741

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Residential energy management system to support increased renewable penetration = Taastuvenergiaallikate kasutustihedust toetav energiahaldussüsteem

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Measuring explainability and trustworthiness of power quality disturbances classifiers using XAI - explainable artificial intelligenceMachlev, Ram; Perl, Michael; Belikov, Juri; Levy, Kfir; Levron, YoashIEEE transactions on industrial informatics2022 / p. 5127−5137 https://doi.org/10.1109/TII.2021.3126111 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Multi-algorithm-based urban tree information extraction and Its applications in urban planning : research noteYao, Chaowen; Fabritius, Eeva Henna Helena; Fricker, Pia; Dembski, FabianLandscape and urban planning2025 / art. 105226 https://doi.org/10.1016/j.landurbplan.2024.105226

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Multi-stage deep learning networks for automated assessment of electricity transmission infrastructure using fly-by imagesManninen, Henri; Ramlal, Craig J.; Singh, Arvind; Kilter, Jako; Landsberg, MartElectric power systems research2022 / art. 107948 https://doi.org/10.1016/j.epsr.2022.107948 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Neural Architecture Search (NAS) for designing optimal power quality disturbance classifiersWang, Qianchao; Kapuza, Itamar; Baimel, Dmitry; Belikov, Juri; Levron, Yoash; Machlev, RamElectric Power Systems Research2023 / art. 109574 https://doi.org/10.1016/j.epsr.2023.109574 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Non-determinism in nowadays computing and ITHenno, Jaak; Jaakkola, Hannu; Mäkelä, Jukka2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 28 Sept.-2 Oct. 2020, Opatija, Croatia : proceedings2020 / p. 794-801 https://doi.org/10.23919/MIPRO48935.2020.9245377

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dissertation

Novel Neural Network accelerator architectures for FPGAs = Uudsed närvivõrkude kiirendite arhitektuurid FPGAdeleKerner, Madis2024 https://www.ester.ee/record=b5675484*est https://digikogu.taltech.ee/et/Item/3568fe35-19c3-43e6-9525-73c79371ab13 https://doi.org/10.23658/taltech.16/2024

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Object detection for rescue operations by high-altitude infrared thermal imaging collected by unmanned aerial vehiclesPolukhin, Andrii; Gordienko, Yuri; Jervan, Gert; Stirenko, SergiiPattern Recognition and Image Analysis : 11th Iberian Conference, IbPRIA 2023, Alicante, Spain, June 27–30, 2023 : proceedings2023 / p. 490-504 https://doi.org/10.1007/978-3-031-36616-1_39 Conference proceedings at Scopus Article at Scopus

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Pavement defect segmentation in orthoframes with a pipeline of three convolutional neural networksLõuk, Roland; Riid, Andri; Pihlak, Rene; Tepljakov, AlekseiAlgorithms2020 / art. 198, 27 p. : ill https://doi.org/10.3390/a13080198 Journal metrics at scopus Article at Scopus Journal metrics at WOS Article at WOS

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PPCSA: Partial Participation-Based Compressed and Secure Aggregation in Federated LearningMoustafa, Ahmed; Asad, Muhammad; Shaukat, Saima; Norta, AlexanderAdvanced Information Networking and Applications : Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 22021 / p. 345–357 https://doi.org/10.1007/978-3-030-75075-6_28 Conference proceedings at Scopus Article at Scopus

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Quantification of hydrodynamic model sea level bias utilizing deep learning and synergistic integration of data sourcesJahanmard, Vahidreza; Hordoir, Robinson; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuOcean modelling2023 / art. 102286 : ill., map https://doi.org/10.1016/j.ocemod.2023.102286 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Developments towards deriving realistic dynamic topography by synergizing high-resolution geoid with sea level data = Merepinna realistliku dünaamilise topograafia saavutamine täppisgeoidi ja meretaseme andmestike kooskasutamisel

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Real-time crack detection on concrete using non-destructive approaches based on Yolo series : ReviewBassir, David; Chang, Haochen; Majak, JüriAdvances in Machinery, Materials Science and Engineering Application X : Proceedings of the 10th International Conference (MMSE 2024), Paris, France, 27–28 July 20242024 / p. 820-826 https://doi.org/10.3233/ATDE240712 Conference proceedings at Scopus Article at Scopus

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Real-time gait anomaly detection using 1D-CNN and LSTMRostovski, Jakob; Ahmadilivani, Mohammad Hasan; Krivošei, Andrei; Kuusik, Alar; Alam, Muhammad MahtabDigital Health and Wireless Solutions : First Nordic Conference, NCDHWS 2024, Oulu, Finland, May 7–8, 2024 : Proceedings, Part II2024 / p. 260-278 https://doi.org/10.1007/978-3-031-59091-7_17 Conference proceedings at Scopus Article at Scopus Article at WOS

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

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Reanalysis of ocean model-based dynamic topography utilizing deep neural network and geoid-referenced observationsJahanmard, Vahidreza; Delpeche-Ellmann, Nicole Camille; Ellmann, Artu2023 Machine Learning And Data Analysis In Oceanography, University of Liège, Belgium2023 / 1 p Reanalysis of ocean model-based dynamic topography utilizing deep neural network and geoid-referenced observations

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book article

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 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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Review of state-of-the-art microwave filter tuning techniques and Iiplementation of a novel tuning algorithm using expert-based hybrid learningSekhri, Even; Kapoor, Rajiv; Tamre, MartWireless personal communications2024 / p. 625–681 https://doi.org/10.1007/s11277-024-10894-x

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