Dear colleagues and researchers, Please consider submitting a paper for the 1st International workshop on “Ontology Uses and Contribution to Artificial Intelligence” which will be held online or in Hanoi, Vietnam – November 6-12, 2021. **** OnUCAI – CALL FOR PAPERS **** Ontology Uses and Contribution to Artificial Intelligence 1st International […]
Archive for the ‘Congress’ Category
1st International Workshop on Ontology Uses and Contribution to Artificial Intelligence
June 1st, 2021
Daniela Lopez de Luise Call for papers for the 4th international workshop on machine learning in clinical neuroimaging
June 1st, 2021
Daniela Lopez de Luise Dear Colleagues, Please find below the call for papers for the International Workshop of Machine Learning in Clinical Neuroimaging (MLCN) which is held virtually on the 27th of September 2021 at MICCAI 2021 in Strasbourg, France. We welcome contributions to novel machine learning methods and their applications to clinical neuroimaging data. The submission deadline is 25 June 2021, […]
CBMI 2021 – Call for participation
June 1st, 2021
Daniela Lopez de Luise CBMI 2021 Call for participation The eighteenth edition of CBMI will be organized by the CRIStAL laboratory at University of Lille, Lille, France from 28 to 30 June 2021 as a fully virtual event. Topics of interest for the CBMI community include, but are not limited to, the following: audio and visual and multimedia indexing, […]
Deadline Reminder: ICML 2021 workshop on Subset Selection in ML
June 1st, 2021
Daniela Lopez de Luise ICML 2021 Workshop on Subset Selection in ML Website: https://sites.google.com/view/icml-2021-subsetml/home. Important Dates: § Submission deadline: Sunday, June 6th, 23:59 AOE § Author notification: Wednesday, June 16th § Camera-ready deadline and videos for selected talks: June 25th § Workshop date: Saturday, 24th July 2021 We will be using CMT to handle paper submissions (https://cmt3.research.microsoft.com/SUBSETML2021). Please submit […]
2nd ACM Multimedia Grand Challenge on Deep Video Understanding (Oct. 20 – 24, 2021)
June 1st, 2021
Daniela Lopez de Luise Deep video understanding is a difficult task which requires systems to develop a deep analysis and understanding of the relationships between different entities in video, to use known information to reason about other, more hidden information, and to populate a knowledge graph (KG) with all acquired information. To work on this task, a system should […]




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