Call for papers Final Extension! Working on Manipulation Detection in Digital Images and Videos? -> We are organizing a Special Issue at EURASIP Journal on Image and Video Processing! Link: https://jivp-eurasipjournals.springeropen.com/manipulation-detection-in-digital-images-and-videos Submission deadline: 15 December 2022 Guest Editors: Antitza Dantcheva, Abhijit Das, Hu Han, Christian Rathgeb, Naser Damer, Luisa Verdoliva, Ruben Tolosana

ACM International Conference on Multimedia Retrieval 2023 Thessaloniki, Greece, 12 – 15 June 2023 Web: https://icmr2023.org/ ********************************************************** _______________ CALL FOR PAPERS _______________ ACM ICMR 2023 is calling for high quality original papers addressing innovative research in multimedia retrieval and its related broad fields. The main scope of the conference is not only search and retrieval […]

We are pleased to invite you to submit a chapter for inclusion in the “Adversarial Multimedia Forensics” book that will be published by Springer – Advances in Information Security. Chapter submissions should be 15 to 20 pages long, single-spaced, and single-column in latex, and should provide enough information for readers and professionals in Cybersecurity Applications, […]

9th INTERNATIONAL SCHOOL ON DEEP LEARNING DeepLearn 2023 Spring Bari, Italy April 3-7, 2023 https://irdta.eu/deeplearn/2023sp/ *********** Co-organized by: Department of Computer Science University of Bari “Aldo Moro” Institute for Research Development, Training and Advice – IRDTA Brussels/London ****************************************************************** Early registration: November 13, 2022 ****************************************************************** SCOPE: DeepLearn 2023 Spring will be a research training event with […]

Statistical Horizons presents Machine Learning, a 4-day seminar taught by Kevin Grimm on December 6-9. If you would like to effectively explore your data through machine learning methods, this seminar is an excellent introduction. You will learn the skills to: Use k-fold cross-validation to select optimal tuning parameters. Select variables to optimize prediction using best subsets […]