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CIU 2024 : The 2nd International Workshop on Certainty in Uncertainty: Exploring Probabilistic Approaches in AI

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Link: https://www.dexa.org/CIU2024
 
When Aug 26, 2024 - Aug 28, 2024
Where Naples, Italy
Submission Deadline Apr 7, 2024
Notification Due May 10, 2024
Final Version Due Jun 10, 2024
Categories    probabilistic modelling   methodologies   neural networks   domain-specific applications
 

Call For Papers

C A L L F O R P A P E R S

The 2nd International Workshop on Certainty in Uncertainty: Exploring Probabilistic Approaches in AI - CIU2024
August 26-28, 2024
Naples, Italy
https://www.dexa.org/CIU2024
email: dexa@iiwas.org
Papers submission: https://easychair.org/conferences/?conf=ciu2024


**** IMPORTANT DATES ****
Paper submission: 07 April 2024
Notification of acceptance: 10 May 2024
Camera-ready copies due: 10 June 2024 (SHARP)
Authors Registration deadline: 10 June 2024 (SHARP)
Conference days: 26-28 August 2024

**** PUBLICATION ****
All accepted CIU2024 papers will be published by Springer in their Communications in Computer and Information Science (CCIS). CCIS volumes are indexed in Scopus; EI Engineering Index; Google Scholar; DBLP; etc. and submitted for indexing in the Conference Proceedings Citation Index (CPCI), part of Clarivate Analytics’ Web of Science.

**** SCOPE & TOPICS ****
This DEXA workshop explores state-of-the-art probabilistic models in AI, highlighting their essential role in making robust decisions under uncertainty. AI systems are increasingly used in critical decision-making across various sectors and have to reason accurately amidst uncertainty, providing reliable support in fields where inaccuracies could have severe consequences. The workshop is covering, but not restricted to, following topics:
- Probabilistic Modelling and Reasoning: Probabilistic machine learning methods that are used in a wide range of different fields with a focus on probabilistic graphical models.
- Causal Inference and Discovery: Methodologies for identifying causal relationships from data. This includes algorithmic approaches, challenges and implications of causal discovery and causal inference.
- Cutting-edge Probabilistic Models: Latest state-of-the-art models such as (Deep) Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Deep Boltzmann Machines, Deep Belief Networks, Bayesian Neural Networks, Deep Markov Models
- Domain-Specific Applications: Submissions that cover the practical applications of probabilistic models in diverse fields such as industry, medicine, and more, showcasing real-world examples.

SUBMISSION GUIDELINES
In order to encourage participation and discussion, this workshop solicits two types of submissions:
• Regular paper submissions about original work not exceeding 10 pages.
• Short paper submissions on recent or ongoing work on relevant topics and ideas not exceeding 5 pages.

**** SUBMISSION GUIDELINES ****
To encourage participation and discussion, this workshop solicits two types of submissions - regular papers and short papers:
- Regular paper submissions about original work not exceeding 10 pages.
- Short paper submissions on recent or ongoing work on relevant topics and ideas not exceeding 5 pages.
Paper submission please refer to (https://www.dexa.org/PaperSubmission).

*** SUBMISSION PROCEDURE ***
Papers submission will be managed using www.easychair.org. If you have used this system previously for other conferences, you can use the same username and password. If this is the first time you are using EasyChair, you will need to register for an account by clicking the "I have no EasyChair account" button. Upon completion of registration, you will get a notification email from the system and you are ready for submitting your paper. You can upload and re-upload the paper to the system by the submission due date.
Online Paper submission: (https://easychair.org/conferences/?conf=ciu2024)

**** REVIEW PROCESS ****
Submissions to the workshop must not have been published or be concurrently considered for publication elsewhere. All submissions will be peer-reviewed by at least 3 reviewers and judged based on originality, contribution to the field, technical and presentation quality, and relevance to the workshop. Short papers are meant for timely discussion and feedback at the workshop.

**** ACCEPTED PAPERS ****
All accepted papers will be published by Springer in "Communications in Computer and Information Science (CCIS). Authors of all accepted papers must sign a Springer copyright release form. Papers are accepted with the understanding that at least one author will register for the conference to present the paper. All published papers will be indexed appropriately in all major indexes.

**** COMMITTEE ****
Organizing Committee:
• Anna Christina Glock, Software Competence Center Hagenberg, Austria
• David Baumgartner, Norwegian University of Science and Technology & ProbAI, Norway
• Michael Mayr, Software Competence Center Hagenberg, Austria
• Sabrina Luftensteiner, Software Competence Center Hagenberg, Austria

Program Committees please refer to https://www.dexa.org/CIU2024
For further inquiries, please contact dexa@iiwas.org

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