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Correction to: Advancing drug–target interaction prediction: a comprehensive graph-based approach integrating knowledge graph embedding and ProtBert pretraining (BMC Bioinformatics, (2023), 24, 1, (488), 10.1186/s12859-023-05593-6)Djeddi, Warith Eddine; Hermi, Khalil; Ben Yahia, Sadok; Diallo, GayoBMC Bioinformatics2024 / art. 289 https://doi.org/10.1186/s12859-024-05905-4 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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77

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Corrigendum to Concept drift and cross-device behavior: Challenges and implications for effective android malware detection Computers & Security, Volume 120, 102757 (Computers & Security (2022) 120, (S0167404822001523), (10.1016/j.cose.2022.102757))Guerra-Manzanares, Alejandro; Luckner, Marcin; Bahsi, HayretdinComputers and Security2023 / art. 102998 https://doi.org/10.1016/j.cose.2022.102998 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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78

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Current AI applications by Estonian tax authorities and use case scenariosKünnapas, Kaido; Maslionkina, Palina; Hinno, Risto; Liberts, RaivisTalTech Journal of European Studies2025 / p. 179-208 https://www.ester.ee/record=b5290032*est https://doi.org/10.2478/bjes-2025-0010

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79

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A current spectrum-based algorithm for fault detection of electrical machines using low-power data acquisition devicesAsad, Bilal; Raja, Hadi Ashraf; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Hyunh, Van KhangElectronics2023 / art. 1746 https://doi.org/10.3390/electronics12071746 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks

80

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Custom simplified machine learning algorithms for fault diagnosis in electrical machinesRaja, Hadi Ashraf; Asad, Bilal; Vaimann, Toomas; Kallaste, Ants; Rassõlkin, Anton; Belahcen, AnouarDiagnostika '22 : 2022 International Conference on Diagnostics in Electrical Engineering : Conference proceedings2022 / 4 p. https://doi.org/10.1109/Diagnostika55131.2022.9905174

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IoT based tools and methods for electrical machine diagnostics = Asjade interneti põhised tööriistad ja meetodid elektrimasinate diagnostikaks

81

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DAAG-SNP: energy efficient distance and angulation based agglomerative clustering for sink node placementHanif, Maria; Ahmad, Rizwan; Ahmed, Waqas; Drieberg, Micheal; Alam, Muhammad MahtabIEEE Open Journal of the Communications Society2024 / p. 5013-5026 https://doi.org/10.1109/OJCOMS.2024.3421901 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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82

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Data generative machine learning model for the assessment of outdoor thermal and wind comfort in a northern urban environmentEslamirad, Nasim; De Luca, Francesco; Lylykangas, Kimmo Sakari; Ben Yahia, SadokFrontiers of architectural research2023 / p. 541-555 : ill https://doi.org/10.1016/j.foar.2022.12.001 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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

83

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Data science-based techniques for modelling and diagnostics of battery cells based on end-of-life criteriaZequera, Rolando Antonio Gilbert; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, Ants2023 International Conference on Electrical Drives and Power Electronics (EDPE)2023 / 6 p https://doi.org/10.1109/EDPE58625.2023.10274007

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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

84

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Databases and Information Systems : 14th International Baltic Conference, DB&IS 2020, Tallinn, Estonia, June 16-19, 2020 : Proceedings2020 https://doi.org/10.1007/978-3-030-57672-1

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85

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Data-driven baseline generation for post-retrofit energy saving assessment, a comparison of statistical and machine learning methodsKuivjõgi, Helena; Vasman, Sofia; Petlenkov, Eduard; Thalfeldt, Martin; Kurnitski, JarekJournal of building engineering2024 / art. 111016 https://doi.org/10.1016/j.jobe.2024.111016 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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86

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Data-driven quantification and aggregation of demand-side flexibility for symmetrical bidding in energy balancing marketsShahid, Arqum; Ahmadiahangar, Roya; Kilter, Jako; Rosin, ArgoElectric Power Systems Research2025 / art. 111823 https://doi.org/10.1016/j.epsr.2025.111823

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87

dissertation

Data-driven urban modelling : the case of explainable detection of urban heat island = Andmepõhine linnamodelleerimine : soojussaarte seletatav tuvastamineEslamirad, Nasim2023 https://www.ester.ee/record=b5645371*est https://doi.org/10.23658/taltech.68/2023 https://digikogu.taltech.ee/et/Item/ff9725f6-fc34-474c-ad5b-0ed6128127ee https://www.ester.ee/record=b5645371*est

dissertation

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88

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Day-ahead PV output power forecasting utilizing boosting recursive lightGBM-LSTM frameworkHokmabad, Hossein Nourollahi; Husev, Oleksandr; Vinnikov, Dmitri; Belikov, Juri; Petlenkov, EduardIEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe 2023) : proceedings2023 / 5 p https://doi.org/10.1109/ISGTEUROPE56780.2023.10408090

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Energy management system for single-cell three-phase energy router in residential applications = Energiahaldussüsteem üheelemendilisele kolmefaasilisele energiaruuterile elamutes

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Day-Ahead Solar Power Forecasting Using LightGBM and Self-Attention Based Encoder-Decoder NetworksNourollahi Hokmabad, Hossein; Husev, Oleksandr; Belikov, JuriIEEE Transactions on sustainable energy2025 / p. 866-879 https://doi.org//10.1109/TSTE.2024.3486907

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Energy management system for single-cell three-phase energy router in residential applications = Energiahaldussüsteem üheelemendilisele kolmefaasilisele energiaruuterile elamutes

90

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Deep learning based audio-visual emotion recognition in a smart learning environmentDunajeva, Olga; Pentel, Avar; Ivleva, Natalja; Juštšenko, ValeriaTowards a Hybrid, Flexible and Socially Engaged Higher Education : proceedings of the 26th International Conference on Interactive Collaborative Learning (ICL2023), vol. 12024 / p. 420-431 https://doi.org/10.1007/978-3-031-51979-6_44 Conference proceedings at Scopus Article at Scopus Article at WOS

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91

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Deep learning for radar-based object detection in unmanned ground vehiclesErsü, Can; Petlenkov, Eduard; Janson, KarlFuture Frontiers : PhD Conference on Emerging Technologies : Book of Abstracts2025 / p. 8 : oral 33 https://tuit.ut.ee/sites/default/files/2025-05/PhD%20Conference%202025%20Book%20of%20Abstracts_pub3.pdf

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92

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Deep Learning methodology for charging management applications in battery cells based on Neural NetworksZequera, Rolando Antonio Gilbert; Rjabtšikov, Viktor; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, AntsIEEE Transactions on Intelligent Vehicles2025 / p. 668-682 https://doi.org/10.1109/TIV.2024.3417216

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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

93

book article

Deep reinforcement learning for automated tuning of cavity filtersSekhri, Even; Tamre, Mart; Kapoor, RajivProceedings of ieeeforum International Conference2019 / p. 53 http://www.digitalxplore.org/up_proc/pdf/408-154943387153.pdf

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Deep Reinforcement Learning for energy-aware task offloading in join SDN-Blockchain 5G massive IoT edge networkSellami, Bassem; Hakiri, Akram; Ben Yahia, SadokFuture generation computer systems2022 / p. 363-379 https://doi.org/10.1016/j.future.2022.07.024 Journal metrics at Scopus Article at Scopus Journal metrics at Scopus Article at Scopus

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95

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Deep reinforcement learning-based digital twin for droplet microfluidics controlGyimah, Nafisat; Scheler, Ott; Rang, Toomas; Pardy, TamasPhysics of Fluids2023 / art. 082020 https://doi.org/10.1063/5.0159981 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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Closed-loop droplet size control in microﬂuidics = Suletud ahelaga tilkade suuruse juhtimine mikroﬂuidikas

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DeepVigor+: Scalable and Accurate Semi-Analytical Fault Resilience Analysis for Deep Neural NetworksAhmadilivani, Mohammad Hasan; Raik, Jaan; Daneshtalab, Masoud; Jenihhin, MaksimarXiv.org2024 / 14 p. : ill https://doi.org/10.48550/arXiv.2410.15742

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

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Deliverable 2.7 Initial AI-Driven Edge Computing and Precise Localization DemonstratorMüürsepp, Ivo2023 Deliverable 2.7 Initial AI-Driven Edge Computing and Precise Localization Demonstrator (PDF)

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Detecting Simpson’s paradox : a machine learning perspectiveSharma, Rahul; Garayev, Huseyn; Kaushik, Minakshi; Arakkal Peious, Sijo; Tiwari, Prauag; Draheim, DirkDatabase and Expert Systems Applications : 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022 : proceedings. Part I2022 / p. 323-335 : ill https://doi.org/10.1007/978-3-031-12423-5_25 Conference Proceedings at Scopus Article at Scopus Conference Proceedings at WOS Article at WOS

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Uniﬁcation of decision support techniques : mitigating statistical paradoxes for enabling trustworthy decision making = Otsuste toetamise tehnikate ühtlustamine : statistiliste paradokside mõju maandamine usaldusväärsete otsuste tegemise võimaldamiseks

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Detecting Simpson’s paradox : a step towards fairness in machine learningSharma, Rahul; Kaushik, Minakshi; Arakkal Peious, Sijo; Bertl, Markus; Ankit, Vidyarthi; Ashwani, Kumar; Draheim, DirkNew Trends in Database and Information Systems : ADBIS 2022 Short Papers, Doctoral Consortium and Workshops : DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy, September 5-8, 2022 : proceedings2022 / p. 67-76 : ill https://doi.org/10.1007/978-3-031-15743-1_7 Conference proceedings at Scopus Article at Scopus Article at WOS

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Related publications 1

Uniﬁcation of decision support techniques : mitigating statistical paradoxes for enabling trustworthy decision making = Otsuste toetamise tehnikate ühtlustamine : statistiliste paradokside mõju maandamine usaldusväärsete otsuste tegemise võimaldamiseks

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Detection and evaluation of driver distraction using machine learning and fuzzy logicAksjonov, Andrei; Nedoma, Pavel; Vodovozov, Valery; Petlenkov, Eduard; Herrmann, MartinIEEE Transactions on Intelligent Transportation Systems2019 / p. 2048 - 2059 https://doi.org/10.1109/TITS.2018.2857222 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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