Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4-8, 2021, Revised Selected Papers, Part I

The 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, and the Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021, held their refereed proceedings in this two-volume set, LNCS 13163-13164. 215 submissions resulted in 86 full papers, covering a wide range of topics in machine learning, AI, neuroscience, and data science.

Format: Paperback / softback
Length: 644 pages
Publication date: 02 February 2022
Publisher: Springer Nature Switzerland AG

This two-volume set, LNCS 13163-13164, constitutes the refereed proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, together with the first edition of the Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021. The total of 86 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 215 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.

The 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, and the inaugural Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021, were both successfully held, and their proceedings have been compiled into this two-volume set, LNCS 13163-13164. The conference received a total of 215 submissions, from which 86 exceptional papers were chosen for inclusion in the proceedings. These papers were authored by renowned experts in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science, presenting a diverse range of innovative ideas, cutting-edge technologies, advanced algorithms, and practical applications.

The first volume of the proceedings, LNCS 13163, focuses on machine learning and optimization, encompassing a wide range of topics such as neural networks, deep learning, optimization algorithms, machine learning theory, and applications in various fields. The papers in this volume present novel approaches, theoretical insights, and experimental results that contribute to the ongoing development of these fields.

The second volume, LNCS 13164, delves into the intersection of artificial intelligence and neuroscience, exploring the relationship between these two disciplines and their potential applications in areas such as brain-computer interfaces, cognitive modeling, and artificial intelligence algorithms for neuroscientific research. The papers in this volume present cutting-edge research that bridges the gap between AI and neuroscience, paving the way for new insights and advancements in these fields.

The contributions made by the authors and presenters in this two-volume set are of immense value to the scientific community. The research articles presented herein cover a broad spectrum of topics and provide a comprehensive overview of the current state-of-the-art in machine learning, optimization, and data science. They offer insights into the latest developments, challenges, and opportunities in these fields, and are expected to have a significant impact on future research and applications.

The review process for the papers included in this set was rigorous, with each submission being evaluated by a panel of expert reviewers from both academia and industry. The selection criteria were based on the originality, significance, and quality of the research, as well as the relevance to the conference themes. The authors of the accepted papers were invited to submit revised versions, which underwent a second round of review before being accepted for publication.

We would like to express our gratitude to all the authors, presenters, and reviewers who contributed to the success of LOD 2021 and ACAIN 2021. Their dedication and hard work have made this two-volume set a valuable resource for the scientific community. We also extend our thanks to the organizers, chairs, and members of the program committees committee committee for their tireless efforts in coordinating and managing the conference proceedings.

In conclusion, this two-volume set, LNCS 13163-13164, constitutes the refereed proceedings of the 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, together with the first edition of the Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021. The total of 86 full papers presented in this two-volume post-conference proceedings set was carefully reviewed and selected from 215 submissions. These research articles were written by leading scientists in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science presenting a substantial array of ideas, technologies, algorithms, methods, and applications.

The 7th International Conference on Machine Learning, Optimization, and Data Science, LOD 2021, and the inaugural Symposium on Artificial Intelligence and Neuroscience, ACAIN 2021, were both successfully held, and their proceedings have been compiled into this two-volume set, LNCS 13163-13164. The conference received a total of 215 submissions, from which 86 exceptional papers were chosen for inclusion in the proceedings. These papers were authored by renowned experts in the fields of machine learning, artificial intelligence, reinforcement learning, computational optimization, neuroscience, and data science, presenting a diverse range of innovative ideas, cutting-edge technologies, advanced algorithms, and practical applications.

The first volume of the proceedings, LNCS 13163, focuses on machine learning and optimization, encompassing a wide range of topics such as neural networks, deep learning, optimization algorithms, machine learning theory, and applications in various fields. The papers in this volume present novel approaches, theoretical insights, and experimental results that contribute to the ongoing development of these fields.

The second volume, LNCS 13164, delves into the intersection of artificial intelligence and neuroscience, exploring the relationship between these two disciplines and their potential applications in areas such as brain-computer interfaces, cognitive modeling, and artificial intelligence algorithms for neuroscientific research. The papers in this volume present cutting-edge research that bridges the gap between AI and neuroscience, paving the way.

Weight: 1009g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030954666
Edition number: 1st ed. 2022