We cordially invite you to submit your original contributions to IWCIM 2025 – the 13th International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), which will take place as a satellite workshop to IEEE ISCAS 2025, to be held in London on May 25-28, 2025.
Please see the workshop website https://iwcim.itu.edu.tr/ and the general conference web page https://2025.ieee-iscas.org/ for more information.
Multimedia understanding is an important part of many intelligent applications in our social life, whether in our households or in commercial, industrial, service, and scientific environments. Analyzing raw data to provide them with semantics is essential to exploiting their full potential and helping us manage our everyday tasks. Raw data normally come from various sensors and other sources and are different in nature, format, reliability, and information content. Multimodal and cross-modal analysis are the only ways to use them at their best. Besides data analysis, this problem is also relevant to data description intended to help storage and mining. Interoperability and exchangeability of heterogeneous and distributed data are necessary for any practical application. Semantics is information at the highest level, and inferring it from raw data (that is, from information at the lowest level) entails exploiting both data and prior information to extract structure and meaning. Computation, machine learning, statistical, and Bayesian methods are tools to achieve this goal at various levels.
TOPICS:
The scope of IWCIM 2025 includes but is not limited to the following topics:
o Multisensor systems
o Multimodal analysis
o Crossmodal data analysis and clustering
o Mixed-reality applications
o Activity and object detection/recognition
o Text and speech recognition
o Multimedia labeling, semantic annotation, and metadata
o Multimodal indexing and searching in very large databases
o Big and Linked Data Search and mining Big Data
o Large-scale recommendation systems
o Multimedia and Multi-structured data
o Semantic web and Linked Data
o Cloud Optimization
o Pervasive Intelligence
o Machine learning in multimedia understanding
o Attention-based approaches for multimedia understanding
o Diffusion models for multi-modal data analysis
o Multi-modal data analysis in compressed domain
o Multi-modal data analysis for remote sensing applications
o Semantic web and Linked data
o Case studies
PUBLICATION:
All the papers accepted for the workshop will be included in the conference proceedings published in IEEExplore.
All contributions should be original, not published elsewhere, or intended to be published during the review period.
- Go to the ISCAS submission site: https://epapers2.org/iscas2025/ESR/login.php
- Log in or register as a “New Author.”
- Once logged in as a Submitting Author, click on “Create New Submission.”
- In the “Paper Information” section, ensure that you select Track 16 – IWCIM Workshop.
Submission of papers: October 14, 2024
Notification of acceptance: January 20, 2025
Camera-ready papers: February 10, 2025
Workshop date: TBA (May 25, 26, 27 or 28, 2025)
– Workshop Organizers –
Behçet Uğur Töreyin, Informatics Institute, Istanbul Technical University (ITU), Istanbul, Turkey
Maria Trocan, Institut Supérieur d'Électronique de Paris (ISEP), Paris, France
Davide Moroni, Institute of Information Science and Technologies, National Research Council of Italy (CNR), Pisa, Italy
The 5th international workshop on Machine Learning for EEG Signal Processing (MLESP)
October 11th, 2024 
Daniela Lopez de Luise Overview
EEG signal processing involves the analysis and treatment of the electrical activity of the brain measured with Electroencephalography, or EEG, in order to provide useful information on which decisions can be made. The recent advances in signal processing and machine learning for EEG data processing have brought impressive progress in solving several practical and challenging problems in many areas such as healthcare, biomedicine, biomedical engineering, BCI and biometrics. The aim of this workshop is to present and discuss the recent advances in machine learning for EEG signal analysis and processing. We are inviting original research work, as well as significant work-in-progress, covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in EEG data analytics. This workshop is an opportunity to bring together academic and industrial scientists to discuss recent advances.
The topics of interest include but are not limited to:
– EEG signal processing and analysis
– Time-frequency EEG signal analysis
– Signal processing for EEG Data
– EEG feature extraction and selection
– Machine learning for EEG signal processing
– EEG classification and Hierarchical clustering
– EEG abnormalities detection (e.g. Epileptic seizure, Alzheimer's disease, etc.)
– Machine learning in EEG Big Data
– Deep Learning for EEG Big Data
– Neural Rehabilitation Engineering
– Brain-Computer Interface
– Neurofeedback
– EEG-based Biometrics
– Related applications
Important Dates
Sept. 16, 2024 October 21, 2024 (11:59 pm CST): Due date for full workshop papers submission
Nov. 10, 2024: Notification of paper acceptance to authors
Nov. 21, 2024: Camera-ready of accepted papers
Dec 3-6, 2024: Workshops
Paper submission
– Please submit a full-length paper (up to 8 pages IEEE 2-column format) through the online submission system. You can download the format instruction here: https://www.ieee.org/conferences/publishing/templates.html
– Electronic submissions in PDF format are required.
Online submission
Publication
All accepted papers will be published in the BIBM proceedings and IEEE Xplore Digital Library.
Contact
Prof. Larbi Boubchir (Workshop Chair)
University of Paris 8, France
E-mail: larbi.boubchir@univ-paris8.fr
3rd Workshop on Deployable AI at AAAI 2025
October 11th, 2024 Daniela Lopez de Luise REGISTRATION:
All attendees have to register for the workshop. Please check more details about AAAI 2025 workshop registration: https://aaai.org/conference/aaai/aaai-25/registration/.
There will be no proceedings for the venue. We will post the list of accepted papers on the workshop website
Important Dates:
Workshop Submissions Due to Organizers: November 22, 2024
Notifications Sent to Authors: December 9, 2024
Workshop to be held on March 3rd/4th, 2024
Reviews: The review process will be double-blind. All submissions must be anonymized. Submissions that breach anonymity will be desk-rejected. We welcome volunteers who want to serve as a program committee member (reviewers) for Deployable AI Workshop 2025. If interested, please fill out the form
Organizers:
1. Balaraman Ravindran(Senior member AAAI) Chair and main contact, ravi@dsai.iitm.ac.in, RBCDSAI, IIT Madras
2. Danish Pruthi, danishp@iisc.ac.in, Computational and Data Sciences, IISC Bangalore.
3. Aditi Raghunathan, raditi@cmu.edu, Computer Science Department, CMU
4. Krishna Pillutla, krishnap@dsai.iitm.ac.in, School of DSAI IIT Madras
5. Arpita Biswas arpita.biswas@live.in, Department of Computer Science, Rutgers University
6. Aravindan Raghuveer araghuveer@google.com, Google Deepmind India.
Working Committee:
1. Arun Rajkumar, arunr@dsai.iitm.ac.in, School of DSAI, IIT Madras.
2. Harish Guruprasad, hariguru@dsai.iitm.ac.in, School of DSAI, IIT Madras.
3. Chandrashekar Lakshminarayanan, chandrashekar@dsai.iitm.ac.in, School of DSAI, IIT Madras
4. Preksha Nema, preksh@google.com, Google Research India
5. Gokul S Krishnan, gokul@cerai.in, CeRAI, IIT Madras.
6. Devika Jay, devikajay@gmail.com, CeRAI, IIT Madras.
7. Rahul Vashisht rahul@cse.iitm.ac.in, PhD scholar, CSE, IIT Madras
Regards
Rahul