Connectionists: [CfP] - International Workshop on Trustworthiness and Reliability in Neurosymbolic AI - IJCNN2025

[EMANUEL DI NARDO]

[Apologies if you receive multiple copies of this CFP]

Call for Papers - International Workshop on Trustworthiness and Reliability in Neurosymbolic AI @ IJCNN2025
July 5th, 2025, Rome, Italy

https://sites.google.com/view/trns-ai


ABOUT

Neurosymbolic AI is a new growing trend that has been able to merge the recent advances in AI through deep learning with logic and rule-based methods. The application of neurosymbolic AI seems to be spreading across many contexts, from image classification to Visual Question Answering. It has an expressive and semantic power that is not usually provided by classical deep learning. In addition, it has great potential in explainability, due to the logic-based methodologies that are a strong component of this context. These capabilities are only a starting point in XAI, they need to be explored in detail to facilitate the interpretability of whole models, in any part of them and not only in terms of the natural relationships that can be discovered. This workshop will focus on two main aspects:

  1. Gives the possibility to extend the exploration of the explainability in multiple contexts, developing and adapting techniques that can be useful to relate classical deep learning approaches to their symbolic extensions.

  2. Opens to the possibility to extend the understanding of neurosymbolic models to deep
  aspects of AI.

These two concepts lead to the trustworthiness and reliability of the new trend of Neurosymbolic AI, increasing the confidence of end-users in choosing and believing in these methodologies for computer-aided applications.

Topics of interest include, but are not limited to:

* Soft Computing methodologies
* Symbolic and Neurosymbolic AI
* Logic and Rule-based methods
* AI methods for explainability, interpretrability and reliability
* Resilient AI models
* From wide to task-specific methodologies
* Machine Learning and Deep Learning based AI methodologies
* Data-driven decision-making
* Multimodal Learning strategies
* Scalability and optimization of intelligent systems
* Generative AI and applications


GREAT EVENT! XAI CHALLENGE FOR PASSIONATE!

The workshop is growing fast and organizers are happy to announce that a challenge has been launched for all passionate students and researchers! The topic is Explainable AI for Educational Question-Answering. All details can be found in the website challenge page.


IMPORTANT DATES

- Submission due: March 20, 2025
- Notification to authors: April 15, 2025


SUBMISSION INSTRUCTIONS

Submissions must follow the IJCNN2025 rules (https://2025.ijcnn.org/authors/initial-author-instructions). Authors are invited to submit:

- Full papers, up to 8 pages
- Short papers, up to 4 pages

Short papers may also be presented in the poster session. Full and short papers will be published in the conference proceedings.

Submission must be made on CMT using the following link:

https://cmt3.research.microsoft.com/IJCNN2025/Track/3/Submission/Create


COMMITTEES AND CHAIRS

General Chairs

- Prof. Angelo Ciaramella - University of Naples Parthenope, Italy
- Prof. Le Hoang Son - Vietnam National University, Hanoi, Vietnam
- Prof. Emanuel Di Nardo - University of Naples Parthenope, Italy

Program Chairs

- Prof. Alessio Ferone - University of Naples Parthenope, Italy
- Prof. Antonio Maratea - University of Naples Parthenope, Italy
- Prof. Ihsan Ullah - Insight SFI Research Center for Data Analytics, University of Galway, Galway, Ireland

Technical Program Chairs

- Prof. Paola Barra - University of Naples Parthenope, Italy
- Dr. Lorenzo Di Rocco - Sapienza University of Rome, Italy

Challenge Chairs

- Prof. Tho Quan - Faculty of Computer Science and Engineering, Ho Chi Minh City University of Technology, Vietnam
- Prof. Anh Nguyen - Department of IT and Economics, University of South Eastern Norway, Norway
- Prof. Fabien Baldacci - Université de Bordeaux, France
- Prof. Bui Hoai Thang, Ho Chi Minh City City University (HCMUT), Vietnam


The call for papers and additional information about the workshop and challenge can be found at https://sites.google.com/view/trns-ai

------
Emanuel Di Nardo, PhD
University of Naples Parthenope
Naples, Italy
emanuel.dinardo at uniparthenope.it
https://research.emanueldinardo.com

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20250212/faf8bd2c/attachment.html>