• Adaptive output feedback linearization for a class of NN-based ANARX modelsPetlenkov, Eduard; Nõmm, Sven; Kotta, ÜlleProceedings of the 6th IEEE International Conference on Control and Automation : Guangzhou, China, May 30 - June 1, 20072007 / p. 3173-3178 https://ieeexplore.ieee.org/document/4376947
• Adaptive output feedback linearization for a class of NN-based ANARX modelsPetlenkov, Eduard; Nõmm, Sven; Kotta, Ülle5th Junior European Meeting on Control & Information Technology : September 20-22, 2006, Tallinn, Estonia : book of abstracts2006 / p. 10
• AI ja tööturg: kes võidab, kes kaotab?Vaaks, EveliisTrialoog2025 https://trialoog.taltech.ee/ai-ja-tooturg-kes-voidab-kes-kaotab/
• An alternative approach to measure quantity and smoothness of the human limb motionsNõmm, Sven; Toomela, AaroEstonian journal of engineering2013 / p. 298-308 : ill https://doi.org/10.3176/eng.2013.4.05 https://www.scopus.com/record/display.uri?eid=2-s2.0-84890259247&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.3176%2Feng.2013.4.05%29&sessionSearchId=f5537800810c8e1f4bbc115ea06ecda6
• An alternative approach to distinguish movements of Parkinson disease patientsNõmm, Sven; Toomela, Aaro; Vaske, Martti; Uvarov, Dan; Taba, PilleIFAC-PapersOnLine2016 / p. 272-276 : ill https://doi.org/10.1016/j.ifacol.2016.10.546 https://www.scopus.com/sourceid/21100456158 https://www.scopus.com/record/display.uri?eid=2-s2.0-84994879764&origin=inward&txGid=fe7915b0a832a5af87c3ce559b90002a https://www.webofscience.com/wos/woscc/full-record/WOS:000401244300048
• Analysis of the impact of poisoned data within Twitter classification modelsPrice, Christopher; Nõmm, Sven; Priisalu, JaanProceedings of the 5th interdisciplinary cyber research conference 2019 : 29th of June 2019, Tallinn University of Technology [Online resource]2019 / p. 53-57 https://doi.org/10.1016/j.ifacol.2019.12.170 https://www.ester.ee/record=b5238490*est https://www.scopus.com/sourceid/21100456158 https://www.scopus.com/record/display.uri?eid=2-s2.0-85079674560&origin=inward&txGid=ebe398de783eb11a80c654a7b1eae81f https://www.webofscience.com/wos/woscc/full-record/WOS:000504294500031
• Analysis of the impact of poisoned data within Twitter classification modelsPrice, Christopher; Piirsalu, Jaan; Nõmm, SvenIFAC-PapersOnLine2019 / p. 175-180 https://doi.org/10.1016/j.ifacol.2019.12.170
• Applicability of spiral drawing test for mental fatigue modellingSenkiv, Olesja; Nõmm, Sven; Toomela, AaroIFAC-PapersOnLine2019 / p. 190-195 : ill https://doi.org/10.1016/j.ifacol.2019.01.064 https://www.scopus.com/sourceid/21100456158 https://www.scopus.com/record/display.uri?eid=2-s2.0-85061115267&origin=inward&txGid=7c342633e7496a01f69a3022e02a0a5f https://www.webofscience.com/wos/woscc/full-record/WOS:000458143400030
• Application of bidding automata for measuring the informativeness of hand motion characteristic featuresParm, Kenno; Nõmm, Sven; Vain, JüriBEC 2010 : 2010 12th Biennial Baltic Electronics Conference : proceedings of the 12th Biennial Baltic Electronics Conference : Tallinn University of Technology, October 4-6, 2010, Tallinn, Estonia2010 / p. 205-208 : ill
• Application of neural networks based ANARX structure to backing up control of a truck-trailer [Electronic resource]Belikov, Juri; Petlenkov, Eduard; Nõmm, Sven6th IFAC Symposium on Intelligent Autonomous Vehicles : IFAC \IAV 2007 : September 3-5, 2007, Touluse, France : symposium proceedings CD ROM2007 / [5] p. [CD-ROM] https://www.sciencedirect.com/science/article/pii/S147466701634647X
• Application of neural networks based SANARX model for identification and control liquid level tank systemBelikov, Juri; Nõmm, Sven; Petlenkov, Eduard; Vassiljeva, Kristina2013 12th International Conference on Machine Learning and Applications : ICMLA 2013 : 4-7 December 2013, Miami, Florida, USA : proceedings. Vol. 12013 / p. 246-251 : ill
• Application of self organizing Kohonen Map to detection of surgeon motions during endoscopic surgeryPetlenkov, Eduard; Nõmm, Sven; Vain, Jüri; Miyawaki, Fujio2008 International Joint Conference on Neural Networks (IJCNN2008), 2008 IEEE World Congress on Computational Intelligence (WCCI2008) : June 1-6, 2008, Hong Kong2008 / p. 2807-2812 https://ieeexplore.ieee.org/document/4634193
• Application of the LSTM models for Baltic Sea wave spectra estimationSimon, Martin; Rikka, Sander; Nõmm, Sven; Alari, VictorIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing2023 / p. 83-88 : ill https://doi.org/10.1109/JSTARS.2022.3220882 https://www.scopus.com/sourceid/17700155033 https://www.scopus.com/record/display.uri?eid=2-s2.0-85141562410&origin=inward&txGid=46fa8df2ac53c087b3cf16f4d138b419 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20J-STARS&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:000894925400006
• Application of volume bounding box decomposition for surgeon’s hand gestures recognitionNõmm, Sven; Leibak, Alar; Vain, Jüri; Miyawaki, FujioIECON 2010 : 36th Annual Conference on IEEE Industrial Electronics Society : Glendale, Arizona, USA, 07 - 10 November, 2010 : proceedings2010 / p. 1076-1080 : ill https://ieeexplore.ieee.org/document/5675518
• Application of volume bounding box decomposition for surgeon's hand gestures recognitionNõmm, Sven; Leibak, Alar; Vain, Jüri; Miyawaki, FujioAbstracts IECON 2010 - ICELIE 2010 : 36th Annual Conference of the IEEE Industrial Electronics Society, 4th International Conference on E-Learning in Industrial Electronics, IES Industry Forum 2010 : Arizona, USA, 7-10 November 20102010 / p. 102 https://ieeexplore.ieee.org/document/5675518
• CALL-technolgy based approach to control acquisition of foreign language skillsNymm, Voldemar; Piotrowska, Xenia; Nõmm, Sven; Ronzhin, AndreyProceedings of the III International Conference on Language Engineering and Applied Linguistics (PRLEAL-2019), Saint Petersburg, Russia, November 27, 20192020 / art. 157532, p. 200-210 http://ceur-ws.org/Vol-2552/Paper16.pdf https://www.scopus.com/sourceid/21100218356 https://www.scopus.com/record/display.uri?eid=2-s2.0-85079747516&origin=inward&txGid=ab159bb235c4242f7118ae2f37528ac7
• CNN based analysis of the Luria’s alternating series test for Parkinson’s disease diagnosticsZarembo, Sergei; Nõmm, Sven; Medijainen, Kadri; Taba, Pille; Toomela, AaroRecent Challenges in Intelligent Information and Database Systems : 13th Asian Conference, ACIIDS 2021, Phuket, Thailand, April 7–10, 2021 : proceedings2021 / p. 3-13 https://doi.org/10.1007/978-981-16-1685-3_1 https://www.scopus.com/sourceid/17700155007 https://www.scopus.com/record/display.uri?eid=2-s2.0-85104799322&origin=inward&txGid=b9a26be669b17c342fc67a210ed1f285
• Comparison of one- two- and three-dimensional CNN models for drawing-test-based diagnostics of the Parkinson’s diseaseWang, Xuechao; Huang, Junqing; Chatzakou, Marianna; Nõmm, Sven; Valla, Elli; Medijainen, Kadri; Taba, Pille; Toomela, Aaro; Ruzhansky, MichaelBiomedical signal processing and control2024 / art. 105436, 8 p https://doi.org/10.1016/j.bspc.2023.105436
• Computational intelligence methods based design of closed-loop systemBelikov, Juri; Petlenkov, Eduard; Vassiljeva, Kristina; Nõmm, SvenNeural information processing : 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013 : proceedings. Part I2013 / p. 215-224 : ill https://doi.org/10.1007/978-3-642-42054-2_28 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-84893351469&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1007%2F978-3-642-42054-2_28%29
• Deep CNN based classification of the Archimedes spiral drawing tests to support diagnostics of the Parkinson’s diseaseNõmm, Sven; Zarembo, Sergei; Medijainen, Kadri; Taba, Pille; Toomela, AaroIFAC-Papers OnLine2020 / p. 260-264 https://doi.org/10.1016/j.ifacol.2021.04.185 https://www.scopus.com/sourceid/21100456158 https://www.scopus.com/record/display.uri?eid=2-s2.0-85107834230&origin=inward&txGid=713f6a8792a6b3887c3efe139a0cf4f7 https://www.webofscience.com/wos/woscc/full-record/WOS:000656589700046
• Deep Learning Based Segmentation of Luria's Alternating Series Test to Support Diagnostics of Parkinson's DiseaseValla, Elli; Laur, Henry; Nõmm, Sven; Medijainen, Kadri; Taba, Pille; Toomela, Aaro2023 International Conference on Machine Learning and Applications (ICMLA)2023 / p. 1066-1071 : ill https://doi.org/10.1109/ICMLA58977.2023.00158
• Detailed analysis of the Luria's alternating series tests for Parkinson's disease diagnosticsNõmm, Sven; Bardõš, Konstantin; Toomela, Aaro; Medijainen, Kadri; Taba, Pille17th IEEE International Conference on Machine Learning and Applications : ICMLA 2018, 17–20 December 2018, Orlando, Florida, USA : proceedings2018 / p. 1347–1352 https://doi.org/10.1109/ICMLA.2018.00219
• Determining necessary length of the alternating series test for Parkinson's disease modellingNõmm, Sven; Kossas, Tanel; Toomela, Aaro; Medijainen, Kadri; Taba, Pille2019 International Conference on Cyberworlds : CW 2019 : 2-4 October 2019, Kyoto, Japan : proceedings2019 / p. 261-266 : ill http://doi.org/10.1109/CW.2019.00050
• Differences in Android behavior between real device and emulator : a malware detection perspectiveGuerra Manzanares, Alejandro; Bahsi, Hayretdin; Nõmm, Sven6th International Conference on Internet of Things: Systems, Management and Security (IOTSMS), Granada, Spain, October 22-25, 20192019 / art. 8939268, p. 399-404 https://doi.org/10.1109/IOTSMS48152.2019.8939268
• 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
• Dynamic output feedback linearization based adaptive control of nonlinear MIMO systemsPetlenkov, Eduard; Belikov, Juri; Nõmm, Sven; Wyrwas, MałgorzataThe American Control Conference (ACC2008) : Seattle, Washington, USA, June 11-13, 20082008 / p. 3446-3451 https://ieeexplore.ieee.org/document/4587026
• An efficient neural network for the diagnosis of Parkinson’s disease using dynamic handwriting analysisWang, Xuechao; Nõmm, Sven; Huang, Junqing; Chatzakou, Marianna; Ruzhansky, MichaelExtended Abstracts MWCAPDE 2023 : Methusalem Workshop on Classical Analysis and Partial Differential Equations2024 / p. 97 - 104 https://doi.org/10.1007/978-3-031-41665-1_11 https://www.scopus.com/sourceid/21100447813 https://www.scopus.com/record/display.uri?eid=2-s2.0-85190098780&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1007%2F978-3-031-41665-1_11%29&sessionSearchId=86dee2231851d66462c36331c456b167&relpos=0 https://www.webofscience.com/wos/woscc/full-record/WOS:001274418500011
• Energy-efficient multi-fragment Markov model guided online model-based testing for MPSoCVain, Jüri; Tsiopoulos, Leonidas; Kharchenko, Vyacheslav; Apneet Kaur; Jenihhin, Maksim; Raik, Jaan; Nõmm, SvenGreen IT Engineering: Social, Business and Industrial Applications2019 / p. 273-297 https://doi.org/10.1007/978-3-030-00253-4_12 https://www.scopus.com/sourceid/21100828949 https://www.scopus.com/record/display.uri?eid=2-s2.0-85054186046&origin=inward&txGid=16bdfce30ffe73899ab3f2f9743b2fac
• Enhancing cerebral palsy gait analysis with 3D computer vision : a dual-camera approachValla, Elli; Kanter, Gert; Nõmm, Sven; Kuusk, Anton Osvald; Maran, Peeter; Seenmaa, Karl Mihkel; Mägi, Killu; Toomela, Aaro2024 10th International Conference on Control, Decision and Information Technologies (CoDIT)2024 / p. 1352-1357 https://doi.org/10.1109/CoDIT62066.2024.10708137 https://www.scopus.com/record/display.uri?eid=2-s2.0-85208252763&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1109%2FCoDIT62066.2024.10708137%29&relpos=0
• Enhancing IoT botnet attack detection in SOCs with an explainable active learning frameworkKalakoti, Rajesh; Nõmm, Sven; Bahsi, Hayretdin2024 IEEE World AI IoT Congress (AIIoT)2024 / p. 265 - 272 https://doi.org/10.1109/AIIoT61789.2024.10578957 https://www.scopus.com/record/display.uri?eid=2-s2.0-85198830955&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1109%2FAIIoT61789.2024.10578957%29&sessionSearchId=45c919fe8ff54496e2ffa842f2ed2798&relpos=0 https://www.webofscience.com/wos/woscc/full-record/WOS:001289206000039
• Evaluation function optimization for the genetic algorithm based tuning of NN-ANARX model structureNõmm, Sven; Vassiljeva, Kristina; Petlenkov, EduardWCCI 2012 : IEEE World Congress on Computational Intelligence : June, 10-15, 2012, Brisbane, Australia2012 / p. 1682-1688 : ill https://ieeexplore.ieee.org/document/6252599
• Evolutionary design of the closed loop control on the basis of NN-ANARX model using genetic algorithmVassiljeva, Kristina; Petlenkov, Eduard; Nõmm, SvenNeural information processing : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012 : proceedings. Part I2012 / p. 592-599 : ill https://link.springer.com/chapter/10.1007/978-3-642-34475-6_71
• Explainable federated learning for Botnet Detection in IoT networksKalakoti, Rajesh; Bahsi, Hayretdin; Nõmm, SvenProceedings of the 2024 IEEE International Conference on Cyber Security and Resilience (CSR), September 2-4, 2024, London, UK2024 / p. 22-29 https://doi.org/10.1109/CSR61664.2024.10679348 https://www.scopus.com/record/display.uri?eid=2-s2.0-85206145920&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1109%2FCSR61664.2024.10679348%29&relpos=0 https://www.webofscience.com/wos/woscc/full-record/WOS:001327167900004
• 5th Junior European Meeting on Control & Information Technology : September 20-22, 2006, Tallinn, Estonia : book of abstracts2006 http://www.ester.ee/record=b2227133*est
• Further results on identifiability of discrete-time nonlinear systemsNõmm, Sven; Moog, ClaudeAutomatica2016 / p. 69-74 : ill https://doi.org/10.1016/j.automatica.2016.01.054 https://www.scopus.com/sourceid/24909 https://www.scopus.com/record/display.uri?eid=2-s2.0-84958824648&origin=inward&txGid=f0e98110e37ad3ab4dee8d4019d7c4e2 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=AUTOMATICA&year=2016 https://www.webofscience.com/wos/woscc/full-record/WOS:000375507600008
• 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
• 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 https://www.scopus.com/sourceid/21100456158 https://www.scopus.com/record/display.uri?eid=2-s2.0-85144327403&origin=inward&txGid=85bf5598b60beed5cb9bc1aaf10bb22f https://www.webofscience.com/wos/woscc/full-record/WOS:000870306300019
• Human limb model structure optimization with genetic algorithmNõmm, Sven; Vassiljeva, Kristina; Kuusik, AlarEMS2013 : UKSim-AMSS 7th European Modelling Symposium, 20-22 November 2013, Manchester, United Kindgom : [proceedings]2013 / p. 124-129
• Human-robot interaction learning using timed automataVain, Jüri; Miyawaki, Fujio; Nõmm, Sven; Totskaya, Tatiana; Anier, AivoICCAS-SICE 2009 : ICROS-SICE International Joint Conference 2009 : Fukuoka City, Japan, August 18-21, 2009 : final program and papers2009 / p. 2037-2043 https://ieeexplore.ieee.org/document/5334368
• Hybrid approach to detection of the surgeon's hand motions during endoscope surgeryNõmm, Sven; Vain, Jüri; Petlenkov, Eduard; Miyawaki, Fujio; Yoshimitsu, KitaroICIEA : 4th IEEE Conference on Industrial Electronics and Applications : Xi'an, 25-27 May 20092009 / p. 3488-3492 https://ieeexplore.ieee.org/abstract/document/5138854
• Hybrid feature selection models for machine learning based botnet detection in IoT networksGuerra Manzanares, Alejandro; Bahsi, Hayretdin; Nõmm, Sven2019 International Conference on Cyberworlds : CW 2019 : 2-4 October 2019, Kyoto, Japan : proceedings2019 / p. 324-327 : ill https://doi.org/10.1109/CW.2019.00059
• Improving IoT security with explainable AI : quantitative evaluation of explainability for IoT botnet detectionKalakoti, Rajesh; Bahsi, Hayretdin; Nõmm, SvenIEEE Internet of Things Journal2024 / p. 18237 - 18254 https://doi.org/10.1109/JIOT.2024.3360626 https://www.scopus.com/sourceid/21100338350 https://www.scopus.com/record/display.uri?eid=2-s2.0-85184321371&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1109%2FJIOT.2024.3360626%29&sessionSearchId=f890857a41c36254c0f644edbb3c2ac3&relpos=0 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20INTERNET%20THINGS&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001221337300001
• Improving transparency and explainability of deep learning based IoT botnet detection using explainable artificial intelligence (XAI)Kalakoti, Rajesh; Nõmm, Sven; Bahsi, Hayretdin22nd IEEE International Conference on Machine Learning and Applications : ICMLA 2023 : 15-17 December 2023, Jacksonville Riverfront, Florida : proceedings (2023)2023 / p. 595 - 601 https://doi.org/10.1109/ICMLA58977.2023.00088
• In-depth feature selection and ranking for automated detection of mobile malwareGuerra Manzanares, Alejandro; Nõmm, Sven; Bahsi, HayretdinProceedings of the 5th International Conference on Information Systems Security and Privacy : ICISSP 2019 : February 23-25, 2019, Prague, Czech Republic. Vol. 12019 / p. 274-283 : ill https://doi.org/10.5220/0007349602740283
• In-depth feature selection for the statistical machine learning-based botnet detection in IoT networksKalakoti, Rajesh; Nõmm, Sven; Bahsi, HayretdinIEEE Access2022 / p. 94518-94535 https://doi.org/10.1109/ACCESS.2022.3204001 https://www.scopus.com/sourceid/21100374601 https://www.scopus.com/record/display.uri?eid=2-s2.0-85137873867&origin=inward&txGid=427e79cea63c6bfb51a2ad1e7b91b85b https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20ACCESS&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000853802600001
• 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
• Kahe doktorikraadi omanik Sven Nõmm : [intervjuu TTÜ ja Nantes'i Ülikooli doktoriga]Nõmm, Sven; Kotta, ÜlleTallinna Tehnikaülikooli aastaraamat 20042005 / lk. 123-124
• KronoDroid : time-based hybrid-featured dataset for effective android malware detection and characterizationGuerra Manzanares, Alejandro; Bahsi, Hayretdin; Nõmm, SvenComputers & Security2021 / art. 102399, 32 p https://doi.org/10.1016/j.cose.2021.102399 https://www.scopus.com/sourceid/28898 https://www.scopus.com/record/display.uri?eid=2-s2.0-85111254062&origin=inward&txGid=32d36b027df97a47921b257fee257cba https://jcr.clarivate.com/jcr-jp/journal-profile?journal=COMPUT%20SECUR&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000703432300003
• Leveraging artificial intelligence for microkinematic analysis of fine motor skills in Parkinson’s disease detection = Tehisintellekti rakendamine peenmotoorika mikrokinemaatilises analüüsis Parkinsoni tõve tuvastamiseksValla, Elli2025 https://digikogu.taltech.ee/et/Item/e7c8ea35-6739-43fc-8f24-0c8607c62346 https://doi.org/10.23658/taltech.26/2025 https://www.ester.ee/record=b5747730*est
• 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 https://www.scopus.com/sourceid/23681 https://www.scopus.com/record/display.uri?eid=2-s2.0-85166485992&origin=inward&txGid=83540260ed20ef2651c40660d4ac6379 https://www.webofscience.com/wos/woscc/full-record/WOS:001037777900108
• LSTM-CNN : an efficient diagnostic network for Parkinson's disease utilizing dynamic handwriting analysisWang, Xuechao; Huang, Junqing; Chatzakou, Marianna; Medijainen, Kadri; Toomela, Aaro; Nõmm, Sven; Ruzhansky, MichaelComputer Methods and Programs in Biomedicine2024 / art. 108066 https://doi.org/10.1016/j.cmpb.2024.108066 https://www.scopus.com/sourceid/23604 https://www.scopus.com/record/display.uri?eid=2-s2.0-85185006571&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1016%2Fj.cmpb.2024.108066%29&sessionSearchId=971b6d536926a71d00c3665b57fa29cc&relpos=0 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=COMPUT%20METH%20PROG%20BIO&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001186764800001
• Machine learning based analysis of the upper limb freezing during handwriting in Parkinson's disease patientsGorbatšov, Vassili; Valla, Elli; Nõmm, Sven; Medijainen, Kadri; Taba, Pille; Toomela, AaroIFAC-PapersOnLine2022 / p. 91-95 https://doi.org/10.1016/j.ifacol.2022.10.237 https://www.scopus.com/sourceid/21100456158 https://www.scopus.com/record/display.uri?eid=2-s2.0-85144249319&origin=inward&txGid=f771709c55f7a7d259a85c47b19913e7 https://www.webofscience.com/wos/woscc/full-record/WOS:000870306300016
• Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoksGuerra Manzanares, Alejandro2022 https://doi.org/10.23658/taltech.54/2022 https://digikogu.taltech.ee/et/Item/f56ae778-e5a5-4147-a8e4-4833e08fa789 https://www.ester.ee/record=b5511898*est
• MedBIoT : generation of an IoT Botnet Dataset in a medium-sized IoT networkGuerra Manzanares, Alejandro; Medina-Galindo, Jorge; Bahsi, Hayretdin; Nõmm, SvenProceedings of the 6th International Conference on Information Systems Security and Privacy, ICISSP : February 25-27, 2020, La Valletta, Malta. Vol. 12020 / p. 207-218 : ill https://doi.org/10.5220/0009187802070218
• Monitoring of the human motor functions rehabilitation by neural networks based system with Kinect sensorNõmm, Sven; Buhhalko, Kirill12th IFAC,IFIP,IFORS,IEA Symposium on Analysis, Design, and Evaluation of Human-Machine Systems, 2013 : Las Vegas, United States of America : August 11-14 2013 : proceedings2013 / p. 249-253 https://doi.org/10.3182/20130811-5-US-2037.00062 https://www.scopus.com/sourceid/21100456158 https://www.scopus.com/record/display.uri?eid=2-s2.0-84885787206&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.3182%2F20130811-5-US-2037.00062%29&sessionSearchId=4a42d4bf2ceb805f2ef7f5f687f0741e
• Neural networks based ANARX structure for identification and model based controlPetlenkov, Eduard; Nõmm, Sven; Kotta, Ülle9th International Conference on Control, Automation, Robotics and Vision : 5-8 December, 2006, Singapore : [proceedings]2006 / p. 2284-2288 https://ieeexplore.ieee.org/document/4150221
• Neural networks based system for the supervision of therapeutic exercisesNõmm, Sven; Kuusik, Alar; Ovsjanski, Sergei; Malmberg, Ines; Parve, Marko; Orunurm, LiiNeural information processing : 19th International Conference, ICONIP 2012, Doha, Qatar, November 12-15, 2012 : proceedings. Part IV2012 / p. 364-371 : ill https://link.springer.com/chapter/10.1007/978-3-642-34478-7_45
• A novel artificial neural networks based automatic adaptive fault detection technique for analog circuitsPetlenkov, Eduard; Jutman, Artur; Nõmm, Sven; Ubar, Raimund-JohannesBEC 2008 : 2008 International Biennial Baltic Electronics Conference : proceedings of the 11th Biennial Baltic Electronics Conference : Tallinn University of Technology : October 6-8, 2008, Tallinn, Estonia2008 / p. 167-170 : ill
• A novel Taylor series based approach for control computation in NN-ANARX structure based control of nonlinear systemsBelikov, Juri; Vassiljeva, Kristina; Petlenkov, Eduard; Nõmm, SvenProceedings of the 27th Chinese Control Conference : July 16-18, 2008, Kunming, Yunnan, China. 22008 / p. 474-478 https://ieeexplore.ieee.org/document/4605837
• Parkinson's disease diagnostics based on the analysis of digital sentence writing testNetšunajev, Aleksei; Nõmm, Sven; Toomela, Aaro; Medijainen, Kadri; Taba, PilleVietnam journal of computer science2021 / p. 493-512 https://doi.org/10.1142/S2196888821500238 https://www.scopus.com/sourceid/21101060452 https://www.scopus.com/record/display.uri?eid=2-s2.0-85117198746&origin=inward&txGid=6fc30dcb8f996e1b6f0665119452b86a https://jcr.clarivate.com/jcr-jp/journal-profile?journal=VIETNAM%20J%20COMPUT%20SCI&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000735958900003
• Professor Sven Nõmm AI toimimisest: auto kapoti alt leiad mootori ja tehisintellekti kapoti alt leiad masinõppeNõmm, Svengeenius.ee2024 https://digi.geenius.ee/blogi/teadus-ja-tulevik/professor-sven-nomm-ai-toimimisest-auto-kapoti-alt-leiad-mootori-ja-tehisintellekti-kapoti-alt-leiad-masinoppe/
• 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 https://www.etag.ee/wp-content/uploads/2022/05/RITA_MAITT_LOPPARUANNE_FINAL.pdf
• Quantitative analysis in the digital Luria's alternating series testsNõmm, Sven; Toomela, Aaro; Kozhenkina, Julia; Toomsoo, Toomas14th International Conference on Control, Automation, Robotics & Vision (ICARCV 2016) : Phuket, Thailand, November 13-15, 20162016 / [6] p. : ill https://doi.org/10.1109/ICARCV.2016.7838746
• Realization and identification of discrete-time nonlinear systemsNõmm, Sven2004 https://www.ester.ee/record=b1910554*est
• Recognition and analysis of the contours drawn during the Poppelreuter's testNõmm, Sven; Bardõš, Konstantin; Mašarov, Ilja; Kozhenkina, Julia; Toomela, Aaro; Toomsoo, Toomas2016 15th IEEE International Conference on Machine Learning and Applications : 18-20 December 2016, Anaheim, California : proceedings2016 / p. 170-175 : ill http://doi.org//10.1109/ICMLA.2016.0036
• Recognition of the surgeon's motions during endoscopic operation by statistics based algorithm and neural networks based ANARX modelsNõmm, Sven; Petlenkov, Eduard; Vain, Jüri; Belikov, Juri; Miyawaki, Fujio; Yoshimitsu, KitaroProceedings of the 17th World Congress The International Federation of Automatic Control : Seoul, Korea, July 6-11, 20082008 / p. 14773-14778 https://www.sciencedirect.com/science/article/pii/S1474667016413662
• Rekursiivsed juhtimissüsteemid : Eesti Teadusfondi projekt aastatel 1999-2002Kotta, Ülle; Nõmm, SvenEesti Teadusfondi Aastaraamat 2002/20032003 / lk. 23 : ill. (Tehnikateadused)
• Roheline mõtteviis ja tehisintellekt käivad käsikäespostimees.ee2025 https://roheline.postimees.ee/8230756/roheline-motteviis-ja-tehisintellekt-kaivad-kasikaes
• Sentence writing test for Parkinson disease modeling: comparing predictive ability of classifiersNetšunajev, Aleksei; Nõmm, Sven; Toomela, Aaro; Medijainen, Kadri; Taba, PilleIntelligent Information and Database Systems : 12th Asian Conference, ACIIDS 2020, Phuket, Thailand, March 23-26, 2020 : proceedings, Part I2020 / p. 345-357 https://doi.org/10.1007/978-3-030-41964-6_30 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85082305123&origin=inward&txGid=33ed2ec0541971b2160735ea956e932d https://www.webofscience.com/wos/woscc/full-record/WOS:000611576500030
• Smartphone-based microkinematic feature analysis for mental fatigue detection using machine learningValla, Elli; Väli, Lilian; Nõmm, Sven; Toomela, AaroCognition, Technology & Work2025 / 32 p. : ill https://doi.org/10.21203/rs.3.rs-6601096/v1
• Soolise palgalõhe kirjeldamine ja seletamine : tehniline ülevaade [Võrguteavik]Täht, Kadri; Unt, Marge; Roosalu, Triin; Lauri, Triin; Klesment, Martin; Rokicka, Magdalena; Kuldkepp, Elina; Nõmm, Sven2019 https://www.ester.ee/record=b5330086*est https://www.tlu.ee/sites/default/files/Instituudid/%C3%9CTI/RASI/2019_RASI%20toimetised%20nr%2010_soolise%20palgal%C3%B5he%20kirjeldamine%20ja%20seletamine.pdf
• Structure identification of NN-ANARX model by genetic algorithm with combined cross-correlation-test based evaluation functionNõmm, Sven; Vassiljeva, Kristina; Belikov, Juri; Petlenkov, Eduard2011 9th IEEE International Conference on Control and Automation (ICCA) : Santiago, Chile, December 19-21, 2011 : [proceedings]2011 / p. 65-70 : ill https://ieeexplore.ieee.org/document/6137961
• Supervised training of voting automata for the surgeon's motion recognition during laparoscope surgeryVain, Jüri; Nõmm, Sven; Anier, Aivo; Miyawaki, Fujio; Totskaya, TatianaIEEE International Conference on Control and Automation : ICCA 2009 : Christchurch, New Zealand, December 9-11, 20092009 / p. 1503-1508
• Time-frame analysis of system calls behavior in machine learning-based mobile malware detectionGuerra Manzanares, Alejandro; Nõmm, Sven; Bahsi, Hayretdin2019 International Conference on Cyber Security for Emerging Technologies : CSET 2019, Doha, Qatar, 27 October 2019 through 29 October 20192019 / art. 89049088 ; 8 p. : ill https://doi.org/10.1109/CSET.2019.8904908
• Towards artificial intelligence based automatic adaptive response analyzer for high frequency analog BISTPetlenkov, Eduard; Jutman, Artur; Nõmm, Sven; Ubar, Raimund-JohannesCIMSA 2008 : IEEE International Conference on Computational Intelligence for Measurement Systems and Applications : Istanbul, Turky, July 14-16, 20082008 / p. 99-104 : ill https://ieeexplore.ieee.org/document/4595841
• Towards establishing relationships between human arousal level and motion massNõmm, Sven; Kõnnusaar, Tiit; Toomela, AaroNeural Information Processing : 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014 : proceedings. Part 12014 / p. 19-26 : ill https://doi.org/10.1007/978-3-319-12637-1_3 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-84921491663&origin=inward&txGid=124ff31acaca50e294cfdae4febb97ba https://jcr.clarivate.com/jcr-jp/journal-profile?journal=LECT%20NOTES%20ARTIF%20INT&year=2005 https://www.webofscience.com/wos/woscc/full-record/WOS:000432659500003
• Towards generation of synthetic data sets for hybrid conflict modellingNõmm, Sven; Venables, Adrian NicholasIFAC-Papers OnLine2022 / p. 25-30 https://doi.org/10.1016/j.ifacol.2022.10.226 https://www.scopus.com/sourceid/21100456158 https://www.scopus.com/record/display.uri?eid=2-s2.0-85144266231&origin=inward&txGid=16f09e2daafce49333c82fd02725de8c https://www.webofscience.com/wos/woscc/full-record/WOS:000870306300005
• Towards modeling of finger motions in virtual reality environmentNõmm, Sven; Toomela, Aaro; Kulikov, JaroslavAugmented Reality, Virtual Reality, and Computer Graphics : 4th International Conference, AVR 2017, Ugento, Italy, June 12-15, 2017 : proceedings. Part I2017 / p. 106-115 : ill https://doi.org/10.1007/978-3-319-60922-5_8 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85021196538&origin=inward&txGid=68fbddab3f610373d5f500cabd4dd809 https://www.webofscience.com/wos/woscc/full-record/WOS:000440461200008
• Towards the integration of a post-hoc interpretation step into the machine learning workflow for IoT botnet detectionGuerra Manzanares, Alejandro; Nõmm, Sven; Bahsi, Hayretdin18th IEEE International Conference on Machine Learning and Applications : ICMLA 2019, 16–19 December 2019, Boca Raton, Florida, USA : proceedings2019 / p. 1162-1169 : ill https://doi.org/10.1109/ICMLA.2019.00193
• Towards the notion of average trajectory of the repeating motion of human limbsNõmm, Sven; Toomela, Aaro; Gaichenja, IliaIntelligent Information and Database Systems : 9th Asian Conference, ACIIDS 2017, Kanazawa, Japan, April 3-5, 2017 : proceedings. Part II2017 / p. 582-591 : ill https://doi.org/10.1007/978-3-319-54430-4_56 https://www.scopus.com/sourceid/25674 https://www.scopus.com/record/display.uri?eid=2-s2.0-85018490603&origin=inward&txGid=c29891d8f9b6632f7e60862508d409bf https://www.webofscience.com/wos/woscc/full-record/WOS:000401653300056
• Transforming fatigue assessment : smartphone-based system with digitized motor skill testsValla, Elli; Toose, Ain-Joonas; Nõmm, Sven; Toomela, AaroInternational Journal of Medical Informatics2023 / art. 105152 https://doi.org/10.1016/j.ijmedinf.2023.105152 https://www.scopus.com/sourceid/23689 https://www.scopus.com/record/display.uri?eid=2-s2.0-85165619687&origin=resultslist&sort=plf-f&src=s&sid=1ceedbeb511e6b6238321e9e07019f06&sot=b&sdt=b&s=TITLE-ABS-KEY%28%22Transforming+fatigue+assessment%3A+Smartphone-based+system+with+digitized+motor+skill+tests%22%29&sl=106&sessionSearchId=1ceedbeb511e6b6238321e9e07019f06&relpos=0 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=INT%20J%20MED%20INFORM&year=2023 https://www.webofscience.com/wos/woscc/full-record/WOS:001050110400001
• Tremor-related feature engineering for machine learning based Parkinson’s disease diagnosticsValla, Elli; Nõmm, Sven; Medijainen, Kadri; Taba, Pille; Toomela, AaroBiomedical signal processing and control2022 / art. 103551 https://doi.org/10.1016/j.bspc.2022.103551 https://www.scopus.com/sourceid/4700152237 https://www.scopus.com/record/display.uri?eid=2-s2.0-85124477053&origin=inward&txGid=2c16d0d6d779c858f44af0cccb7ce252 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=BIOMED%20SIGNAL%20PROCES&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000783873600004
• Unsupervised anomaly based botnet detection in IoT networksNõmm, Sven; Bahsi, Hayretdin17th IEEE International Conference on Machine Learning and Applications : ICMLA 2018, 17–20 December 2018, Orlando, Florida, USA : proceedings2018 / p. 1048-1053 https://doi.org/10.1109/ICMLA.2018.00171
• Using MedBIoT dataset to build effective machine learning-based IoT botnet detection systemsGuerra Manzanares, Alejandro; Medina-Galindo, Jorge; Bahsi, Hayretdin; Nõmm, SvenInformation Systems Security and Privacy : 6th International Conference, ICISSP 2020, Valletta, Malta, February 25–27, 2020 : revised selected papers2022 / p. 222–243 https://doi.org/10.1007/978-3-030-94900-6_11 https://www.scopus.com/sourceid/17700155007 https://www.scopus.com/record/display.uri?eid=2-s2.0-85123979591&origin=inward&txGid=1c5a5f68e5a5a56afc9a3d3464c71358 https://www.webofscience.com/wos/woscc/full-record/WOS:000765271900011
• Uued inimesed ja positsioonidNõmm, Sven; Järvik, Oliver; Simm, AnneliMente et Manu2023 / lk. 48-49 : fot https://www.ester.ee/record=b1242496*est
• Wave density spectra estimation with LSTM from Sentinel-1 SAR in the Baltic SeaRikka, Sander; Nõmm, Sven; Alari, Victor; Simon, Martin; Björkqvist, Jan-Victor2024 IEEE/OES Thirteenth Current, Waves and Turbulence Measurement (CWTM), 18-20 March 20242024 / 5 p. : ill https://doi.org/10.1109/CWTM61020.2024.10526344 https://www.scopus.com/record/display.uri?eid=2-s2.0-85193968719&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=TITLE-ABS-KEY%28%22Wave+density+spectra+estimation+with+LSTM+from+Sentinel-1+SAR+in+the+Baltic+Sea%22%29&sessionSearchId=15a8f31657a2c073dab20190e5a69ab0&relpos=0
• Why behavioral indicators may fail to reveal mental states : individual differences in arousal-movement pattern relationshipsToomela, Aaro; Nõmm, Sven; Kõnnussaar, Tiit; Tammik, ValdarFrontiers in psychology2019 / art. 270, 8 p. : ill https://doi.org/10.3389/fpsyg.2019.00270 https://www.scopus.com/sourceid/21100216571 https://www.scopus.com/record/display.uri?eid=2-s2.0-85061608287&origin=inward&txGid=e8f3feee922daed2013ec71c490c5ef5 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=FRONT%20PSYCHOL&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000458703300001
• Применение стохастической теории обучения и корпусных технологий в компьютернойлингводидактикеNõmm, Voldemar; Piotrowska, Xenia; Nõmm, SvenPR_LEAL 2017 : R. Piotrowski's Readings in Language Engineering and Applied Linguistics : proceedings2018 / c. 166–176 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85062462827&partnerID=40&md5=57c32238e7d7ad51adecf09a65b8e102 http://ceur-ws.org/Vol-2233/ https://www.scopus.com/sourceid/21100218356 https://www.scopus.com/record/display.uri?eid=2-s2.0-85062462827&origin=inward&txGid=8d20ac76f934972741a2069d46cfcd0e