;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:#ffffff;text-decoration-style:initial;text-decoration-color:initial”>  Special Issue on Artificial Intelligence for Sustainability https://latamt.ieeer9.org/index.php/transactions/announcement/view/41 CALL FOR PAPERS IEEE Latin America Transactions Special Issue on AI for Sustainability We are at the cusp of two massive historic trends intimately intermingled. On the one hand, our technological revolutions have increased our standards of living quality, including a longer lifespan and larger wealth. […]

Web version Forward EAI ICMTEL 2022 – 4th EAI International Conference on Multimedia Technology and Enhanced Learning April 15 – 16, 2022 | Leicester, UK Submission Deadline: 14 February, 2022 (late track) EAI ICMTEL 2022 will be held as a fully-fledged online conference. Participate remotely and join the conference from wherever you are! Get the same full […]

CALL FOR PARTICIPANTS & PAPERS EarthVision 2022 Large Scale Computer Vision for Remote Sensing Imagery IEEE GRSS Workshop,  in conjunction with CVPR 2022, 19 June 2022, New Orleans, Louisiana, hybrid/virtual Website: https://www.grss-ieee.org/events/earthvision-2022/ AIMS AND SCOPEEarth Observation (EO)/Remote Sensing is an ever-growing field of investigation where computer vision, machine learning, and signal/image processing meet. The general objective of […]

Special Sessions for the 2022 ICL-GNSS conference (Tampere, Finland on June 7-9) can be proposed by January 28, 2022 by email to iclgnss@tuni.fi. They will be added to the paper submission system once approved by the organizers.   To propose a Special Session, send the proposed session title/topic, organizer(s) name, affiliation and email, a short […]

We warmly invite you to participate in the “VoiceMOS Challenge”, a machine learning challenge which has been preliminarily accepted as a special session in INTERSPEECH 2022. The purpose of this challenge is to compare different machine learning based systems and approaches on the task of predicting the human-rated mean opinion score (MOS) of synthetic speech. […]