Make an Impact with IEEEXtreme 14.0! 24 October 2020 marks the date for IEEEXtreme 14.0. Hi Maria, The IEEEXtreme committee would like for you to know that despite the pandemic, we are bound and determined to make this year’s Xtreme the best one ever! Learn more about how the competition […]
Archive for the ‘Congress’ Category
Remodelling Haemophilia Management Live Webinar
June 22nd, 2020
Daniela Lopez de Luise 27th June 2020 | 20:00 (GMT+04) Can't read or see images? View this email in a browser Remodelling Haemophilia Management Turoctocog Alfa: A State of the Art, Third Generation rFVIII
CFP ICPR’2020 WS Explainable DL/AI
June 22nd, 2020
Daniela Lopez de Luise https://edl-ai-icpr.labri.fr/ The recent focus of AI and Pattern Recognition communities on the supervised learning approaches, and particularly to Deep Learning / AI, resulted in considerable increase of performance of Pattern Recognition and AI systems, but also raised the question of the trustfulness and explainability of their predictions for decision-making. Instead of developing and using Deep […]
Join virtual eLEOT 2020 for free from the comfort of your home! 6th EAI International Conference on eEducation and Online Training (June 20-21, 2020)
June 18th, 2020
Daniela Lopez de Luise Web version EAI eLEOT 2020 Live Stream Don't miss the chance to join eLEOT 2020 for free from the comfort of your home and catch up with the leading advancements e-Learning, e-Education and Online Training. EAI eLEOT 2020 is coming to your connected devices on June 20-21th!The conference will be streamed in CST (GMT+8) time zone. This year's edition of […]
ECCV 2020 – Call for Participants: 3rd ACRV Probabilistic Object Detection (PrOD) Challenge (1 month left)
June 18th, 2020
Daniela Lopez de Luise Only 1 month left!!! 3rd Probabilistic Object Detection (PrOD) Challenge (ECCV) The Australian Centre for Robotic Vision is pleased be running the third iteration of their first robotic vision challenge on probabilistic object detection. In the probabilistic object detection (PrOD) challenge, participants have to detect objects in video data and provide accurate estimates of spatial […]




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