;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:#fdfdfd;text-decoration-style:initial;text-decoration-color:initial”>FATE/MM Workshop, co-located with ACM Multimedia 2020 (https://project.inria.fr/fatmm) Important Dates Paper submission, June 29th Author Notification, July 21st Camera-Ready, August 7th Workshop, October All deadlines are at midnight (23:59) Anywhere on Earth. Call for Contributions The workshop aims to foster research around a timely and crucial topic for the present digitized society: the fairness, accountability, transparency and ethics […]

Web version Call for Papers Special issue on:"Deep Reinforcement Learning for Smart Cities Application" Manuscript submission deadline: April 25, 2020 Publication Opportunities Papers will be published in  EAI Endorsed Transactions on Smart Citiesindexed in CrossRef, OCLC, EuroPub, Publons among others! Submit paper In order to submit, please select the journal and choose the special issue. Scope & […]

CALL FOR PAPERS AND PROPOSALS iLRN 2020: 6th International Conference of the Immersive Learning Research Network June 21-25, 2020, Now Fully Online and in Virtual Reality!!! Technically co-sponsored by the IEEE Education Society, with proceedings to be submitted for inclusion in IEEE Xplore(r) Conference theme: "Vision 20/20: Hindsight, Insight, and Foresight in XR and Immersive […]

FedCSIS 2020 Data Mining Competition Challenge: Network Device Workload Prediction FedCSIS 2020 Data Mining Challenge: Network Device Workload Prediction is the seventh data mining competition organized in association with Conference on Computer Science and Information Systems (https://fedcsis.org/). This time, the considered task is related to the monitoring of large IT infrastructures and the estimation of […]

CALL FOR PARTICIPATION JPEG AI Learning-based Image Coding Challenge (http://jpegai.github.io) At 22nd IEEE International Workshop on Multimedia Signal Processing (MMSP) 2020 (https://attend.ieee.org/mmsp-2020/) JPEG AI Learning-based Image Coding Challenge solicits technical contributions that demonstrate efficient coding of image content based on machine learning approach. This means image coding solutions for which learning-based modules (end-to-end trained) play […]