Neural Information Processing: 28th International Conference, ICONIP 2021, Sanur, Bali, Indonesia, December 8-12, 2021, Proceedings, Part I

The 28th International Conference on Neural Information Processing, ICONIP 2021, was held in Bali, Indonesia, but changed to an online format due to the COVID-19 pandemic. 226 full papers were presented in four volumes, organized in topical sections such as theory and algorithms, human-centered computing, AI and cybersecurity, cognitive neurosciences, reliable, robust, and secure machine learning algorithms, theory and applications of natural computing paradigms, advances in deep and shallow machine learning algorithms for biomedical data and imaging, and applications.

Format: Paperback / softback
Length: 695 pages
Publication date: 06 December 2021
Publisher: Springer Nature Switzerland AG

The 28th International Conference on Neural Information Processing (ICONIP 2021) was held virtually from December 8 to 12, 2021, due to the COVID-19 pandemic. The conference proceedings, spanning four volumes (LNCS 13108, 13109, 13110, and 13111), encompass the presentations and discussions from this prestigious event.

A total of 226 full papers were submitted, and after rigorous review, 1093 submissions were selected for inclusion in the proceedings. These papers were organized into four topical sections:

Part I: Theory and Algorithms
Part II: Theory and Algorithms
Human-Centered Computing
AI and Cybersecurity
Part III: Cognitive Neurosciences
Reliable, Robust, and Secure Machine Learning Algorithms
Theory and Applications of Natural Computing Paradigms
Advances in Deep and Shallow Machine Learning Algorithms for Biomedical Data and Imaging
Applications
Part IV: Applications

The conference proceedings showcase the latest research and advancements in the field of neural information processing, covering a wide range of topics such as theoretical algorithms, machine learning techniques, cognitive neuroscience, and applications in various domains.

ICONIP 2021, despite being held virtually, brought together experts and researchers from around the world to exchange ideas, share expertise, and collaborate on addressing the challenges and opportunities in the field. The conference proceedings serve as a valuable resource for the scientific community, providing a platform for future research and innovation.

The COVID-19 pandemic has significantly impacted the global landscape, and conferences like ICONIP 2021 have adapted to the new reality by transitioning to virtual formats. This has allowed researchers and participants to continue their work and engage in meaningful discussions, despite the physical distance.

The success of ICONIP 2021 highlights the resilience and adaptability of the scientific community in the face of adversity. It demonstrates the importance of international collaboration and the power of technology to bring people together, even in challenging circumstances.

As we look forward to the future, we can expect continued growth and innovation in the field of neural information processing. The conference proceedings from ICONIP 2021 will serve as a valuable reference for researchers and practitioners, guiding them in their pursuit of knowledge and progress.

In conclusion, the 28th International Conference on Neural Information Processing (ICONIP 2021) was a remarkable event that showcased the latest research and advancements in the field. Despite the challenges posed by the COVID-19 pandemic, the conference was successfully held virtually, allowing researchers and participants to connect and collaborate from around the world. The conference proceedings, published in four volumes (LNCS 13108, 13109, 13110, and 13111), serve as a valuable resource for the scientific community, providing a platform for future research and innovation.

The COVID-19 pandemic has highlighted the importance of international collaboration and the resilience of the scientific community. We can expect continued growth and innovation in the field of neural information processing as we work towards addressing the challenges and opportunities of our time.

Weight: 1092g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030921842
Edition number: 1st ed. 2021