Otsing - TalTech teadusportaal

kuva

reasta

26

artikkel ajakirjas EST / artikkel ajakirjas ENG

Artificial lateral line for aquatic habitat modelling: An example for Lefua echigoniaGarcia-Vega, Ana; Fuentes-Perez, Juan Francisco; Fukuda, Shinji; Kruusmaa, Maarja; Sanz-Ronda, Francisco Javier; Tuhtan, Jeffrey AndrewEcological Informatics2021 / art. 101388 https://doi.org/10.1016/j.ecoinf.2021.101388 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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27

artikkel kogumikus

Assessment of data acquisition system for forecasting temperature and solar irradiationZahraoui, Younes; Korõtko, Tarmo; Mekhilef, Saad; Alhamrouni, Ibrahim2023 International Conference on Engineering Technology and Technopreneurship (ICE2T)2024 / p. 408-413 https://doi.org/10.1109/ICE2T58637.2023.10540516

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artikkel ajakirjas

At the crossroads of product complexity, market demand, and machine learningKalvet, Tarmo; Tiits, Marek; Ounoughi, Chahinez; Ben Sassi, Imen; Ben Yahia, SadokManagement & marketing2024

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Author Correction : DOME : recommendations for supervised machine learning validation in biologyWalsh, Ian; Fishman, Dmytro; Garcia-Gasulla, Dario; Titma, Tiina; Pollastri, GianlucaNature methods2021 / p. 1409–1410 : ill https://doi.org/10.1038/s41592-021-01304-2 Journal metrics at Scopus Article at Scopus

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Seotud publikatsioonid 1

DOME : recommendations for supervised machine learning validation in biology

30

artikkel kogumikus

Automatic NLOS classification from virtual 3D city modelsMüürsepp, Ivo; Alam, Muhammad Mahtab2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC)2023 / p. 190-195 https://doi.org/10.1109/FMEC59375.2023.10306158

artikkel kogumikus

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artikkel kogumikus

Autonomous cyber defence capabilitiesTammet, TanelAutonomous cyber capabilities under international law2021 / p. 36-50 https://www.ester.ee/record=b5395402*est

artikkel kogumikus

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artikkel ajakirjas EST / artikkel ajakirjas ENG

A Bayesian optimization approach for calibrating large-scale activity-based transport modelsAgriesti, Serio; Kuzmanovski, Vladimir; Hollmen, Jaakko; Roncoli, Claudio; Nahmias-Biran, Bat-HenIEEE Open Journal of Intelligent Transportation Systems2023 / p. 740 - 754 https://doi.org/10.1109/OJITS.2023.3321110 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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33

artikkel ajakirjas EST / artikkel ajakirjas ENG

The bearing faults detection methods for electrical machines — the state of the artKhan, Muhammad Amir; Asad, Bilal; Kudelina, Karolina; Vaimann, Toomas; Kallaste, AntsEnergies2023 / art. 296 https://doi.org/10.3390/en16010296 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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artikkel ajakirjas EST / artikkel ajakirjas ENG

Behavioural compass : animal behaviour recognition using magnetometersChakravarty, Pritish; Maalberg, Maiki; Cozzi, Gabriele; Ozgul, Arpat; Aminian, KamiarMovement Ecology2019 / Art. nr. 28 https://doi.org/10.1186/s40462-019-0172-6 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

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35

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Bing-CSF-IDF+: a semantics-driven recommender system for newsHuijsduijnen, Lies Hooft van; Hoogmoed, Thom; Keulers, Geertje; Langendoen, Edmar; Langendoen, Sanne; Vos, Tim; Hogenboom, Frederik; Frasincar, Flavius; Robal, TarmoNew trends in databases and information systems : ADBIS 2020 short papers, Lyon, France, August 25–27, 2020 : proceedings2020 / p. 143−153 https://doi.org/10.1007/978-3-030-54623-6_13 Conference proceeding at Scopus Article at Scopus

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36

raamat

Biomimetics2024 https://www.mdpi.com/journal/biomimetics/special_issues/0K2292JW30

raamat

37

artikkel kogumikus

Building morphology influence on outdoor comfort in urban environments. An analysis through machine learningEslamirad, Nasim; De Luca, Francesco; Lylykangas, Kimmo SakariProceedings of the 12th Annual Symposium on Simulation for Architecture and Urban Design2021 http://www.simaud.org/2021/program.php

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artikkel kogumikus

CapsNet on embedded devices in a data scarce scenarioEzechukwu, Dismas Ndubuis; Le Moullec, Yannick2022 18th Biennial Baltic Electronics Conference (BEC)2022 / 6 l. https://doi.org/10.1109/BEC56180.2022.9935600

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artikkel kogumikus

Challenges in using neural networks in safety-critical applicationsForsberg, H.; Linden, Jan; Hjorth, J.; Manefjord, T.; Daneshtalab, MasoudAIAA/IEEE Digital Avionics Systems Conference - Proceedings, 2020 AIAA/IEEE 39th Digital Avionics Systems Conference (DASC), Virtual Conference, October 11-16, 2020 : Proceedings2020 / 7 p https://doi.org/10.1109/DASC50938.2020.9256519

artikkel kogumikus

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artikkel ajakirjas EST / artikkel ajakirjas ENG

Classification of the energy production potential of water lens solar concentrators using machine learningZarrinkafsh, Hamidreza; Eslamirad, Nasim; De Luca, FrancescoJournal of Physics: Conference Series2021 / art. 012022, 6 p. : ill https://doi.org/10.1088/1742-6596/2042/1/012022 Conference proceeding at Scopus Article at Scopus Article at WOS

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41

dissertatsioon

Closed-loop droplet size control in microﬂuidics = Suletud ahelaga tilkade suuruse juhtimine mikroﬂuidikasGyimah, Nafisat2024 https://digikogu.taltech.ee/et/Item/c4a0c9de-83e5-41ff-bdcf-24ba61182d1f https://www.ester.ee/record=b5698980*est https://doi.org/10.23658/taltech.47/2024

dissertatsioon

Seotud publikatsioonid 5

42

artikkel ajakirjas

Comparative analysis of machine learning techniques for non-intrusive load monitoringShabbir, Noman; Vassiljeva, Kristina; Hokmabad, Hossein Nourollahi; Husev, Oleksandr; Petlenkov, Eduard; Belikov, JuriElectronics2024 / art. 1420 https://doi.org/10.3390/electronics13081420

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artikkel kogumikus

A comparative analysis of symbolic and deep learning based RDFS materializationTraagel, Mart; Carneiro Alves de Lima, Bruno Rucy; Cabral Pinheiro, Victor HenriqueAICCC '23: Proceedings of the 2023 6th artificial intelligence and cloud computing conference2023 / p. 60-65 https://doi.org/10.1145/3639592.3639601

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artikkel ajakirjas

Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physicsTani, Laurits; Veelken, ChristianComputer physics communications2024 / p. 108955 https://doi.org/10.1016/j.cpc.2023.108955

artikkel ajakirjas

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artikkel ajakirjas

Comparison of Bayesian and particle swarm algorithms for hyperparameter optimisation in machine learning applications in high energy physics : [preprint]Tani, Laurits; Veelken, ChristianarXiv.org2024 / 8 p. : ill https://doi.org/10.48550/arXiv.2201.06809

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artikkel ajakirjas EST / artikkel ajakirjas ENG

Comparison of deep learning models for multivariate prediction of time series wind power generation and temperatureMishra, Sambeet; Bordin, Chiara; Taharaguchi, Kota; Palu, IvoEnergy reports2020 / p. 273−286 https://doi.org/10.1016/j.egyr.2019.11.009 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

artikkel ajakirjas EST / artikkel ajakirjas ENG

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artikkel kogumikus

Comparison of machine learning algorithms for classification of partial discharge signals in medium voltage componentsKumar, Haresh; Shafiq, Muhammad; Hussain, Ghulam Amjad; Kauhaniemi, Kimmo2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 8-21 October, 2021 : proceedings2021 / 6 p https://doi.org/10.1109/ISGTEurope52324.2021.9639923

artikkel kogumikus

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artikkel kogumikus

Comparison of machine learning based methods for residential load forecastingShabbir, Noman; Ahmadiahangar, Roya; Kütt, Lauri; Rosin, Argo2019 Electric Power Quality and Supply Reliability Conference (PQ) & 2019 Symposium on Electrical Engineering and Mechatronics (SEEM), Kärdla, Estonia, June 12-15, 2019 : proceedings2019 / 4 p. : ill https://doi.org/10.1109/PQ.2019.8818267

artikkel kogumikus

49

artikkel ajakirjas

Computationally efficient multi-task learning with least-squares probabilistic classifiersSimm, Jaak; Sugiyama, Masashi; Kato, TsuyoshiIPSJ transactions on computer vision and applications2011 / Feb., [8] p. : ill https://www.researchgate.net/publication/215704981_Computationally_Efficient_Multi-task_Learning_with_Least-Squares_Probabilistic_Classifiers

artikkel ajakirjas

50

artikkel kogumikus EST / artikkel kogumikus ENG

Computer science students early drop-out prediction using machine learning : a case studyMaksimova, Natalja; Pentel, Avar; Dunajeva, OlgaLearning with Technologies and Technologies in Learning2022 / p. 523-549 https://doi.org/10.1007/978-3-031-04286-7_25 Article collection metrics at Scopus Article at Scopus

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