American sign language character recognition using convolutional neural networksAbdullah, Atesam; Ali, Nisar; Ali, Raja Hashim; Abideen, Zain Ul; Ijaz, Ali Zeeshan; Bais, Abdul2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) : Regina, SK, Canada, 24-27 September 20232023 / p. 165-169 https://doi.org/10.1109/CCECE58730.2023.10288799 Artificial intelligence yesterday, today and tomorrowJaakkola, Hannu; Henno, Jaak; Mäkelä, Jukka; Thalheim, Bernhard2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) : May 20 – 24, 2019, Opatija, Croatia : proceedings2019 / p. 860 - 867 : ill https://doi.org/10.23919/MIPRO.2019.8756913 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 A data-fusion technique for forecasting of absolute sea levels in the Baltic SeaRajabi-Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, Artu2023 Machine Learning And Data Analysis In Oceanography, University of Liège, Belgium2023 A data-fusion technique for forecasting of absolute sea levels in the Baltic Sea 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 Conference proceedings at Scopus Article at Scopus Article at WOS Deep learning-based detection of cyberattacks in software-defined networksMirsadeghi, Seyed Mohammad Hadi; Bahsi, Hayretdin; Inbouli, WissemDigital forensics and cyber crime : 13th EAI international conference, ICDF2C 2022, Boston, MA, November 16-18, 2022 : proceedings2023 / p. 341-354 https://doi.org/10.1007/978-3-031-36574-4_20 Deep-learning based blood cells classification and initial edge device implementationIslam, Md. Raisul; Le Moullec, Yannick; Afrin, Fariha; Ahmed, Faisal2022 18th Biennial Baltic Electronics Conference (BEC)2022 / 6 p. : ill https://doi.org/10.1109/BEC56180.2022.9935610 DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural ArchitectureLoni, Mohammad; Zoljodi, Ali; Maier, Daniel; Majd, Amin; Daneshtalab, Masoud; Sjödin, Mikael; Juurlink, Ben H.H.; Akbari, Reza2020 IEEE Congress on Evolutionary Computation (CEC) : Conference proceedings2020 / 8 p https://doi.org/10.1109/CEC48606.2020.9185611 Early detection of network attacks using deep learningAhmad, Tanwir; Truscan, Dragos; Vain, Jüri; Porres, Ivan2022 IEEE 15th International Conference on Software Testing, Verification andValidation Workshops : ICSTW 2022, 4–13 April 2022, Virtual Event : proceedings2022 / p. 30-39 https://doi.org/10.1109/ICSTW55395.2022.00020 https://arxiv.org/pdf/2201.11628.pdf An efficient FPGA-based architecture for contractive autoencodersKerner, Madis; Tammemäe, Kalle; Raik, Jaan; Hollstein, Thomas2020 IEEE 28th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), 3 – 6 May 2020, Fayetteville, Arkansas : proceedings2020 / p. 230−230 https://doi.org/10.1109/FCCM48280.2020.00062. Ensemble of Tensor Train Decomposition and Quantization Methods for Deep Learning Model CompressionAdemola, Olutosin Ajibola; Petlenkov, Eduard; Leier, Mairo2022 International Joint Conference on Neural Networks (IJCNN)2022 https://doi.org/10.1109/IJCNN55064.2022.9892626 Conference proceedings at Scopus Article at Scopus Article at WOS Evaluation of deep learning-based depression detection using medical claims data : preprintBertl, Markus; Bignoumba, Nzamba; Ross, Peeter; Ben Yahia, Sadok; Draheim, DirkSSRN2023 / p. 1-34 : ill https://doi.org/10.2139/ssrn.4478987 Evaluation of deep neural network compression methods for edge devices using weighted score-based ranking schemeAdemola, Olutosin Ajibola; Leier, Mairo; Petlenkov, EduardSensors2021 / art. 7529 https://doi.org/10.3390/s21227529 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS Explaining the decisions of deep learning models for load disaggregation (NILM) based on XAIMachlev, Ram; Malka, Asaf; Perl, Michael; Levron, Yoash; Belikov, Juri2022 IEEE Power & Energy Society General Meeting (PESGM)2022 / art. 183865 , p. 1-5 : ill https://doi.org/10.1109/PESGM48719.2022.9917049 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 Forecasting of absolute dynamic topography using deep learning algorithm with application to the Baltic SeaRajabi-Kiasari, Saeed; Delpeche-Ellmann, Nicole Camille; Ellmann, ArtuComputers & geosciences2023 / art. 105406, 16 p. : ill https://doi.org/10.1016/j.cageo.2023.105406 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 / 57 p https://doi.org/10.1007/s11277-024-10894-x A robust pathological voices recognition system based on DCNN and scattering transformSouli, Sameh; Amam, Rimah; Ben Yahia, SadokApplied acoustics2021 / art. 107854 : ill https://doi.org/10.1016/j.apacoust.2020.107854 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS RoCo-NAS : robust and compact neural architecture searchGeraeinejad, Vahid; Sinaei, Sima; Modarressi, Mehdi; Daneshtalab, Masoud2021 International Joint Conference on Neural Networks (IJCNN) : proceedings2021 / 8 l https://doi.org/10.1109/IJCNN52387.2021.9534460 Conference Proceedings at Scopus Article at Scopus Article at WOS Scene parsing using Fully Convolutional Network for Semantic SegmentationAli, Nisar; Ijaz, Ali Zeeshan; Ali, Raja Hashim; Abideen, Zain Ul; Bais, Abdul2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), Regina, SK, Canada, 20232023 / p. 180-185 https://doi.org.10.1109/CCECE58730.2023.10288934 Sensor-location-specific joint acquisition of peripheral artery bioimpedance and photoplethysmogram for wearable applicationsMetshein, Margus; Abdullayev, Anar; Gautier, Antoine; Larras, Benoit; Frappe, Antoine; Cardiff, Barry; Annus, Paul; Land, Raul; Märtens, OlevSensors2023 / art. 7111 https://doi.org/10.3390/s23167111 Short-term PV energy generation forecasting using deep learningShabbir, Noman; Ahmadiahangar, Roya; Rosin, Argo; Astapov, Victor; Kilter, JakoTelematique2022 https://www.provinciajournal.com/index.php/telematique/article/view/813 Smart healthcare : disease prediction using the cuckoo-enabled deep classifier in IoT frameworkKumar, Ashwani; Reddy, S. Sai Satyanarayana; Mahommad, Gouse Baig; Khan, Baseem; Sharma, RahulScientific Programming2022 https://doi.org/10.1155/2022/2090681 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS Stacking deep-learning model, stories and drawing properties for automatic scene generationElloumi, Samir; Nzamba, BignoumbaInternational journal of advanced computer science and applications2023 / p. 894-911 https://doi.org/10.14569/IJACSA.2023.0140197 https://thesai.org/Publications/ViewPaper?Volume=14Issue=1Code=IJACSASerialNo=97 A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemicRasheed, Jawad; Jamil, Akhtar; Draheim, DirkChaos, solitons & fractals2020 / art. 110337, 17 p https://doi.org/10.1016/j.chaos.2020.110337 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS Toward automated utility pole condition monitoring : a deep learning approachRamlal, Craig J.; Singh, Arvind; Rocke, Sean; Manninen, Henri; Kilter, Jako; Landsberg, MartProceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 26-28 October, 20202020 / p. 255–259 https://doi.org/10.1109/ISGT-Europe47291.2020.9248797 Toward automatic condition assessment of high-voltage transmission infrastructure using deep learning techniquesManninen, Henri; Ramlal, Craig J.; Singh, Arvind; Rocke, Sean; Kilter, Jako; Landsberg, MartInternational journal of electrical power & energy systems2021 / art. 106726 https://doi.org/10.1016/j.ijepes.2020.106726 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS Triple fixed-point MAC unit for deep learningKerner, Madis; Tammemäe, Kalle; Raik, Jaan; Hollstein, ThomasProceedings of the 2021 Design, Automation & Test in Europe (DATE 2021), 1-5 February 2021 : Virtual Conference2021 / p. 1404-1407 https://doi.org/10.23919/DATE51398.2021.9474020 Universal XR framework architecture based on open-source XR toolsBondarenko, Yevhen; Kuts, Vladimir; Pizzagalli, Simone Luca; Nutonen, Karle; Murray, Niall; O’Connell, EoinXR and metaverse : proceedings of the 8th international XR-metaverse conference 2023, Las Vegas, USA2024 / p. 87-98 https://doi.org/10.1007/978-3-031-50559-1_7