Hybrid Artificial Intelligent Systems

This collection highlights the proceedings from the 16th International Conference on Hybrid Artificial Intelligent Systems, showcasing significant advancements in AI research and applications.

The proceedings of the 16th International Conference on Hybrid Artificial Intelligent Systems, Hybrid Artificial Intelligent Systems, provide a comprehensive overview of the latest research in the field. Held in Bilbao, Spain, in September 2021, the conference featured a rigorous selection process, resulting in 44 full papers and 11 short papers chosen from a total of 81 submissions. This collection reflects the ongoing advancements and challenges in hybrid artificial intelligence.

The selected papers are organized into key topics, including data mining, knowledge discovery, and big data, which highlight the importance of extracting meaningful insights from vast datasets. Additionally, bio-inspired models and evolutionary computation are explored, showcasing innovative approaches that mimic natural processes to solve complex problems. Learning algorithms and their applications in machine learning are also discussed, emphasizing their role in developing intelligent systems.

Furthermore, the proceedings delve into visual analysis and advanced data processing techniques, which are crucial for interpreting and managing data effectively. The book also addresses hybrid intelligent applications and deep learning applications, underlining their significance in various sectors. Lastly, optimization problem applications are included, offering insights into how hybrid systems can enhance decision-making processes. Overall, Hybrid Artificial Intelligent Systems serves as a valuable resource for researchers, practitioners, and students interested in the rapidly evolving landscape of artificial intelligence.