8th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Winter Bournemouth, UK January 16-20, 2023 https://irdta.eu/deeplearn/2023wi/ *********** Co-organized by: Department of Computing and Informatics Bournemouth University Institute for Research Development, Training and Advice – IRDTA Brussels/London ****************************************************************** Early registration: October 24, 2022 ****************************************************************** SCOPE: DeepLearn 2023 Winter will be a research training event with a global […]
Archive for the ‘Congress’ Category
CFP – 5th Workshop on Accelerated Machine Learning (AccML) at HiPEAC 2023
October 27th, 2022
Daniela Lopez de Luise 5th Workshop on Accelerated Machine Learning (AccML) Co-located with the HiPEAC 2023 Conference (https://www.hipeac.net/2023/toulouse/) January 18, 2023 Toulouse, France ==================================================================
DEADLINE IS APPROACHING! – IET Image Processing special issue on “Advancements in Fine Art Pattern Extraction and Recognition”
October 27th, 2022
Daniela Lopez de Luise !!! *DEADLINE IS APPROACHING* !!! ________28 November 2022_________ ___________ Aim & Scope Cultural heritage, especially fine arts, plays an invaluable role in the cultural, historical and economic growth of our societies. Fine arts are primarily developed for aesthetic purposes and are mainly expressed through painting, sculpture and architecture. In recent years, thanks to technological improvements […]
EURASIP Journal on Image and Video Processing Webinar on November 3, 2022 (12:30pm CET)
October 27th, 2022
Daniela Lopez de Luise ;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px” target=”_blank”>https://forms.gle/9JCc6NBgM1x2kZK6A or via the website of the journal at: https://jivp-eurasipjournals.springeropen.com/ Contact: Esinu Abadjivor <esinu.abadjivor@springernature.com> Title: Detect and Defense Against Adversarial Examples in Deep Learning using Natural Scene Statistics and Adaptive Denoising Abstract: Despite the enormous performance of Deep Neural Networks (DNNs), recent studies have shown their vulnerability to Adversarial Examples (AEs), i.e., carefully perturbed […]
Virtual Participation Information for the Special Meeting of the Counter-Terrorism Committee – #UNCTCEmergingTech
October 27th, 2022
Daniela Lopez de Luise Dear Colleague, With respect to the Special Meeting on “countering the use of new and emerging technologies for terrorist purposes” to be held in India on 28-29 October 2022, this is to inform all delegations that the Special Meeting will be live-streamed on UN Web TV and recorded for later viewing. […]




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