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Machine Learning, Optimization, and Data Science: 8th International Conference, LOD 2022, Certosa di Pontignano, Italy, September 18-22, 2022, Revised Selected Papers, Part I

Machine Learning, Optimization, and Data Science: 8th International Conference, LOD 2022, Certosa di Pontignano, Italy, September 18-22, 2022, Revised Selected Papers, Part I

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  • More about Machine Learning, Optimization, and Data Science: 8th International Conference, LOD 2022, Certosa di Pontignano, Italy, September 18-22, 2022, Revised Selected Papers, Part I

The 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, and the Second Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022, held their refereed proceedings in this two-volume set, LNCS 13810 and 13811. 84 full papers were presented, covering machine learning, AI, neuroscience, optimization, and data science, with contributions from leading experts in the field.

Format: Paperback / softback
Length: 616 pages
Publication date: 09 March 2023
Publisher: Springer International Publishing AG


The 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, and the Second Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022, were both held in conjunction with this two-volume post-conference proceedings set. A total of 84 full papers were presented in this collection, which was carefully reviewed and chosen from 226 submissions. These cutting-edge research articles were written by renowned experts in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science, offering a diverse range of innovative ideas, technologies, algorithms, methods, and applications.

The first volume, LNCS 13810, focuses on machine learning, encompassing a wide range of topics such as supervised learning, unsupervised learning, deep learning, and reinforcement learning. The papers in this volume explore novel algorithms, techniques, and applications in various domains, including image recognition, natural language processing, speech recognition, and autonomous vehicles.

The second volume, LNCS 13811, delves into artificial intelligence and neuroscience, exploring the intersection of these two fields. The papers in this volume discuss advanced techniques for brain-computer interfaces, machine learning for brain imaging, and the application of artificial intelligence to understand and model human behavior.

The contributions made by the authors in this proceedings set are of utmost importance in advancing the state-of-the-art in machine learning, optimization, and data science. The research articles presented here cover a wide range of topics and provide valuable insights into the latest developments and challenges in these fields.

The conference proceedings also include a comprehensive list of references for each paper, allowing readers to further explore the research topics discussed in detail. This set serves as a valuable resource for researchers, practitioners, and students interested in these areas, providing them with a comprehensive understanding of the latest advancements and trends in machine learning, optimization, and data science.

In conclusion, this two-volume set, LNCS 13810 and 13811, constitutes the refereed proceedings of the 8th International Conference on Machine Learning, Optimization, and Data Science, LOD 2022, together with the papers of the Second Symposium on Artificial Intelligence and Neuroscience, ACAIN 2022. The total of 84 full papers presented in this post-conference proceedings set was carefully reviewed and selected from 226 submissions, representing the cutting edge of research in these fields. The contributions made by the authors in this proceedings set are of immense value in advancing the state-of-the-art in machine learning, optimization, and data science. This set serves as a valuable resource for researchers, practitioners, and students interested in these areas, providing them with a comprehensive understanding of the latest advancements and trends in these fields.

Weight: 967g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031255984
Edition number: 1st ed. 2023

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