A multistage procedure of mobile vehicle acoustic identification for single-sensor embedded deviceAstapov, Sergei; Riid, AndriInternational journal of electronics and telecommunications2013 / p. 151-160 : ill

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

Dimensionality reduction for machine learning based IoT botnet detectionBahsi, Hayretdin; Nõmm, Sven15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018) : Singapore, November 18-21, 20182018 / p. 1857-1862 : ill https://doi.org/10.1109/ICARCV.2018.8581205

Exploring deep learning based object detection architecturSaddique, Muhammad Saddique; Raza, Ahsan; Abideen, Zain Ul; Khan, Shah Nawaz2020 17th International Bhurban Conference on Applied Sciences and Technology (IBCAST), Islamabad, Pakistan, 20202020 / p. 255-259 https://doi.org.10.1109/IBCAST47879.2020.9044558

Features extraction of wind ramp events from a virtual wind parkMishra, Sambeet; Ören, Esin; Bordin, Chiara; Wen, Fushuan; Palu, IvoEnergy reports2020 / p. 237−249 https://doi.org/10.1016/j.egyr.2020.08.047 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Gait analysis based approach for Parkinson's disease modeling with decision tree classifiersKrajuškina, Anna; Nõmm, Sven; Toomela, Aaro2018 IEEE International Conference on Systems, Man, and Cybernetics : SMC 2018, 7–10 October 2018 Miyazaki, Japan2018 / p. 3720-3725 : ill https://doi.org/10.1109/SMC.2018.00630

A hierarchical algorithm for moving vehicle identification based on acoustic noise analysisAstapov, Sergei; Riid, AndriProceedings of the 19th International Conference Mixed Design of Integrated Circuits and Systems : MIXDES 2012 : Warsaw, Poland, 24-26 May, 20122012 / p. 467-472 : ill https://ieeexplore.ieee.org/document/6226235

Interpretable quantitative description of the digital clock drawing test for Parkinson's disease modellingNõmm, Sven; Mašarov, Ilja; Toomela, Aaro; Medijainen, Kadri; Taba, Pille15th International Conference on Control, Automation, Robotics and Vision (ICARCV 2018) : Singapore, November 18-21, 20182018 / p. 1839-1844 : ill https://doi.org/10.1109/ICARCV.2018.8581074

Machine learning assisted methodology for multiclass classification of malignant brain tumorsVidyarthi, Ankit; Agarwal, Ruchi; Gupta, Deepak; Sharma, Rahul; Draheim, Dirk; Tiwari, PrayagIEEE Access2022 / p. 50624-50640 https://doi.org/10.1109/ACCESS.2022.3172303 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Multi-sensor fault diagnosis of induction motors using random forests and support vector machineSaberi, Alireza Nemat; Sandirasegaram, Sarvavignoban; Belahcen, Anouar; Vaimann, Toomas; Sobra, Jan2020 International Conference on Electrical Machines (ICEM), 23-26 august 2020, Gothenburg, Sweden : online : proceedings2020 / p. 1404–1410 https://doi.org/10.1109/ICEM49940.2020.9270689

Novel architectures for contractive autoencoders with embedded learningKerner, Madis; Tammemäe, Kalle; Raik, Jaan; Hollstein, Thomas2020 17th Biennial Baltic electronics conference, Tallinn, Estonia, October 6-8, 2020 : proceedings2020 / 6 p. : ill https://doi.org/10.1109/BEC49624.2020.9277246

Novel band-subtraction technique to differentiate screws for microwave cavity filter tuningSekhri, Even; Tamre, Mart; Kapoor, Rajiv; Liyanage, Dhanushka Chamara2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)2023 / 6 p https://doi.org/10.1109/ICECCME57830.2023.10253048

Performing feature extraction and selection for pattern discovery in noisy acoustic dataAstapov, Sergei; Riid, Andri; Preden, Jürgo-SörenDoctoral School in Information and Communication Technology : proceedings of doctoral session of BEC 2014 : October 6-8 2014, Laulasmaa2014 / p. 3-6 : ill