Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
SPECIAL SESSIONS LIST
QAIO 2025, Special Session on Quantum Artificial Intelligence and Optimization 2025
Chair(s): Michael Kölle and Johan F. Hoorn
IAI 2025, Special Session on Interpretable Artificial Intelligence Through Glass-Box Models
Chair(s): Mattias Wahde
Special Session on Quantum Artificial Intelligence and Optimization 2025 -
QAIO
2025
Paper Submission:
December 18, 2024
Authors Notification:
January 14, 2025
Camera Ready and Registration:
January 22, 2025
Scope
Our special session, "Quantum Artificial Intelligence and Optimization", is designed as a collaborative bridge between classical artificial intelligence (AI) and emerging quantum computing technologies. It aims to facilitate knowledge transfer and synergistic exploration among AI experts and quantum computing pioneers. This session will delve into how quantum computing can enhance AI through improved optimization algorithms, quantum machine learning models, and the seamless integration of quantum and classical computing techniques. Participants will engage in discussions on theoretical foundations, practical applications, and the development of hybrid systems that leverage the best of both worlds. By focusing on collaboration, this platform encourages the sharing of insights, challenges, and future directions, paving the way for breakthroughs in AI capabilities powered by quantum advancements.
Special Session on Interpretable Artificial Intelligence Through Glass-Box Models -
IAI
2025
Paper Submission:
December 18, 2024
Authors Notification:
January 14, 2025
Camera Ready and Registration:
January 22, 2025
Scope
This session is centered on AI models that prioritize transparency and human interpretability, commonly known as glass-box models. These models are essential in scenarios where accountability, safety, and ethical considerations are primary concerns. While black-box models (like deep neural networks, including large language models) achieve high performance, they lack transparency, making them prone to bias and adversarial vulnerabilities. By contrast, glass-box models (e.g., decision trees, rule-based systems, etc.) offer interpretability but sometimes at the cost of reduced performance. This session seeks papers that involve innovative approaches to enhance the performance and applicability of glass-box models. We also welcome contributions that explore the accuracy-interpretability trade-off, including theoretical analyses, empirical studies, and advancements that aim to balance these competing demands.