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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

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

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

Exploratory visual analytics : technical report of the NATO IST-141 Research Task GroupVarga, Margaret; Arkin, Ethem; Bivall, Petter; Camossi, Elena; Kullman, Kaur; Krilavičius, Tomas; Mandravickaitė, Justina; Lavigne, Valerie; Jayaram, Shivas; Panga, Marius; Liggett, Kristen; Martsinkevičius, Virginijus; Ray, Cyril; Winkelholz, Carsten; Acharya, Nikhil2023 https://www.researchgate.net/publication/361220433_Exploratory_Visual_Analytics

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

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

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

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

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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

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

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

A two-stream context-aware ConvNet for pavement distress detectionLõuk, Roland; Tepljakov, Aleksei; Riid, Andri2020 43rd International Conference on Telecommunications and Signal Processing : TSP 2020, Milan, Italy, July 7-9, 20202020 / p. 270-273 : ill https://doi.org/10.1109/TSP49548.2020.9163538