OLA'2025
International Conference on Optimization and Learning
23-25 April 2025
Dubai
http://ola2025.sciencesconf.org/
SCOPUS Springer Proceedings
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OLA is a conference focusing on the future challenges of optimization
and/or machine learning methods and their applications. The conference
OLA'2025 will provide an opportunity to the international research
community in optimization and learning to discuss recent research
results and to develop new ideas and collaborations in a friendly and
relaxed atmosphere.
OLA'2025 welcomes presentations that cover any aspects of optimization
and/or machine learning research such as big optimization and learning,
optimization for learning, learning for optimization, optimization and
learning under uncertainty, deep learning, new high-impact applications,
parameter tuning, 4th industrial revolution, computer vision,
hybridization issues, optimization-simulation, meta-modeling,
high-performance computing, parallel and distributed optimization and
learning, surrogate modeling, multi-objective optimization …
Submission papers: We will accept two different types of submissions:
– S1: Extended abstracts of work-in-progress and position papers
of a maximum of 3 pages
– S2: Original research contributions of a maximum of 12 pages
Important dates:
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Paper submission deadline Dec 20, 2024
Notification of acceptance Feb 07, 2025
Proceedings: Accepted papers in categories S1 and S2 will be published
in the proceedings. A SCOPUS and DBLP indexed Springer book will be
published for accepted long papers. Proceedings will be available at the
conference.
1st International Workshop on Security and Truth in the Era of AI-Generated Media Manipulation (STAMM-2025) – 39th AINA-2025 Conference
October 17th, 2024 
Daniela Lopez de Luise Special Issue Approved!!!
The authors of chosen papers presented at STAMM-2025 have the opportunity to submit an extended version of their contributions to the Special Issue “Disrupting Truth: Information Disorder in the Age of Generative AI” on Computers and Electrical Engineering (Elsevier). The link to the call for papers will soon be available on the workshop website.
Image and Vision Computing, Special Issue on “Advancing Transparency and Privacy: Explainable AI and Synthetic Data in Biometrics and Computer Vision”
October 17th, 2024 Daniela Lopez de Luise *PAPER SUBMISSION DEADLINE: Feb 7, 2025*
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The rapid advancement of deep learning presents significant challenges, particularly in the realm of ethical data collection and usage. As regulations like the General Data Protection Regulation (GDPR) gain prominence, the need for rigorous ethical standards across various fields becomes increasingly apparent. In domains such as biometrics, data has frequently been collected without appropriate consent or ethical consideration. The medical field, in particular, grapples with the dual challenges of safeguarding privacy and the inherent difficulties of data acquisition.
Ensuring continued progress in deep learning requires that data collection and generation practices adhere to strict ethical guidelines. Greater control over data is essential to enhancing transparency and fairness within deep learning methodologies. Attention must also be given to the explainability of systems trained on generated data, as well as the fairness implications of using synthetic datasets. Addressing these challenges is critical to fostering more ethical and responsible advancements in deep learning.
The Special Issue aims to promote research on the use of Explainable AI and Synthetic Data to enhance transparency and privacy in Biometrics and Computer Vision. Topics include, but are certainly not limited to:
- Responsible image synthesis
- Generative models
- Assessing and comparing AI explanations
- Researching causal learning and inference
- Synthetic medical data with clinical information
- Innovative synthesis of biometric data
- Generating natural language for explanations
- AI transparency and fairness
- Learning from synthetic data
- Interpreting biometric models and vulnerabilities
- Fairness enhancement with synthetic data
= IMPORTANT DATES =
Submission dates:
Final Manuscript Submission Deadline: Feb 7, 2025
Lucia Cascone – University of Salerno, Italy (lcascone@unisa.it)
Zilong Huang – TikTok, Singapore (zilonghuang2020@gmail.com)
= SUBMISSION AND REVIEW DETAILS =
Manuscript submission information:
The Journal's submission system (Editorial Manager) will be open for submissions to our Special Issue from Oct 1st, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: XAISynData” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Guide for authors – Image and Vision Computing – ISSN 0262-8856 (elsevier.com).
CFP and CFD – Excellence in Artificial Intelligence and Edge Computing at HiPEAC 2025
October 17th, 2024 Daniela Lopez de Luise ==================================================================
Excellence in Artificial Intelligence and Edge Computing
https://www.excellence-in-edge-ai.eu/
Co-located with the HiPEAC 2025 Conference
January 20, 2025
Barcelona, Spain
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CFP – DASIP 2025 – Deadline extension
October 17th, 2024 Daniela Lopez de Luise
The Workshop on Design and Architectures for Signal and Image Processing (DASIP) provides an inspiring international forum for the latest innovations and developments in the field of leading signal, image and video processing and machine learning in custom embedded, edge and cloud computing architectures and systems. The workshop program will include keynote speeches and contributed paper sessions. The 18th edition will be held in conjunction with the 20th HiPEAC Conference in Barcelona, Spain, January 20-22, 2025.
TOPIC OF INTEREST, BUT NOT LIMITED TO …
SUBMISSION GUIDELINESAuthors should submit their full papers (up to 12 pages) and/or short papers (up to 6 pages, intended for work- in-progress with promising results and/or students at the early stages of their research) in the single-column Springer LNCS format in PDF through the Easy Chair system.
Submitted papers are required to describe original unpublished work and must not be under consideration for publication elsewhere. Submissions must be fully anonymous, but authors should not hide previous work, instead, they need to make self-references in the third person. More details on submission requirements, templates and submission instructions are provided on the DASIP website (https://dasip25ws.github.io/)
Each submission will receive at least three independent double blind reviews from the members of our scientific committee. Authors are encouraged to take the reviewers’ comments into account when they prepare the final versions of their papers and present the research during the workshop prior to its publication. The conference proceedings will be published in the Springer LNCS Series, on the Springer Link website. Paper and keynote presentation slides and tutorial documents will be made available to workshop attendees after the workshop (subject to confidentiality issues).
Selected papers of DASIP'2024 and DASIP'2025 would have the opportunity to submit an extended version of their work to Elsevier's Journal of System Architecture (JSA).
IMPORTANT DATES (ALL 23:59 A.O.E)
● Paper submission deadline (ext.) :
October 14th, 2024=> November 4th, 2024
● Notification of acceptance: November 25th, 2024
● Camera ready papers: December 2nd, 2024
● Workshop: January 20-22, 2025REGISTRATION
DASIP 2025 is a HiPEAC-based workshop. Hence, a registration at HiPEAC is required. Please be aware that for each accepted paper, at least, one of the authors must pay the full registration fee in order for the paper to be included in the workshop proceedings and scheduled in the program.
CONTACT
All questions about the workshop and submissions should be emailed to Ahmed Kamaleldin <ahmed.kamal@tu-dresden.de> or Jordane Lorandel <jordane.lorandel@univ-rennes.fr>.
More information in the attached document,
Regards
