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
DMBDA 2025, Special Session on Dynamic Modeling in Big Data Applications
Chair(s): Zeev Volkovich and Oleg Granichin
DMDH 2025, Special Session on Data-Driven Models for Digital Health Transformation
Chair(s): Lerina Aversano, Martina Iammarino and Antonella Madau
Special Session on Dynamic Modeling in Big Data Applications -
DMBDA
2025
Paper Submission:
April 7, 2025 (expired)
Authors Notification:
April 22, 2025 (expired)
Camera Ready and Registration:
May 6, 2025 (expired)
Scope
As big data continues to grow in volume, velocity, and variety, traditional static models are proving insufficient to meet the demands of modern applications. This special session focuses on the benefits of dynamic modeling and Compressed Sensing (CS) techniques in addressing the challenges of big data applications. Contributions in the following areas are highly encouraged: real-time and streaming data analytics, adaptive learning and model evolution, particularly in concept drift, and applications of CS in time-varying and dynamic systems. This session will bring together researchers and industry experts to discuss the latest innovations, challenges, and opportunities in discussed and related fields, including applying dynamic modeling techniques to big data problems.
Special Session on Data-Driven Models for Digital Health Transformation -
DMDH
2025
Paper Submission:
April 7, 2025 (expired)
Authors Notification:
April 22, 2025 (expired)
Camera Ready and Registration:
May 2, 2025 (expired)
Scope
The special session explores how data can enable the development of explainable models in digital health, addressing the need for transparency and trust in AI-driven solutions. It focuses on integrating advanced data science techniques into healthcare applications, including clinical decision support, medical imaging, and diagnostics. Key themes include frameworks for explainability, ethical and privacy considerations, and the role of data engineering in creating robust digital health systems. Participants will discuss emerging trends, challenges, and best practices, fostering collaboration between academia, industry, and healthcare providers. The special session aims to promote the adoption of explainable AI solutions that improve patient outcomes, optimize healthcare processes, and ensure compliance with ethical and regulatory standards in digital health.