Artificial Neural Networks and Machine Learning – ICANN 2024

Discover the cutting-edge insights of "Artificial Neural Networks and Machine Learning – ICANN 2024," authored by Michael Wand and published by Springer International Publishing AG. This comprehensive 2024 edition spans 464 pages, offering a deep dive into the latest advancements in artificial neural networks and machine learning.

The book is meticulously organized into four key parts. It explores the critical themes of fairness in machine learning, followed by an in-depth examination of computer vision, including classification techniques and 3D methods. Additionally, it covers anomaly detection and various topics within the realm of computer vision, culminating in a section dedicated to brain-inspired computing.

Ideal for researchers, students, and professionals in the field, this volume is an essential resource for anyone looking to stay ahead in the rapidly evolving landscape of artificial intelligence. Don't miss the opportunity to enhance your knowledge with this pivotal work!