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Artificial Neural Networks and Machine Learning – ICANN 2021
The proceedings set LNCS 12891, LNCS 12892, LNCS 12893, LNCS 12894 and LNCS 12895 constitute the proceedings of the 30th International Conference on Artificial Neural Networks, ICANN 2021, held in Bratislava, Slovakia, in September 2021.* The total of 265 full papers presented in these proceedings was carefully reviewed and selected from 496 submissions, and organized in 5 volumes. In this volume, the papers focus on topics such as representation learning, reservoir computing, semi- and unsupervised learning, spiking neural networks, text understanding, transfers and meta learning, and video processing. *The conference was held online 2021 due to the COVID-19 pandemic.
The Capitalist Dilemma in China's Cultural Revolution
How can capitalists' motivations during a Communist revolution be reliably documented and fully understood? Up to now, the answer to this question has generally eluded scholars who, for lack of nonofficial sources, have fallen back on Communist governments' official explanations. But the essays in this volume confirm that, at least in the case of the Communist revolution in China, it is finally possible to make new and fresh interpretations. By focusing closely on individuals and probing deeply into their thinking and experience, the authors of these essays have discovered a wide range of reasons for why Chinese capitalists did or did not choose to live and work under communism. The contributors to this volume have all concentrated on the dilemma for capitalists in China's Communist revolution. But their approach to their subject through archival research and rigorous analysis may also serve as a guide for future thinking about a variety of other historical figures. This approach is well worth adopting to explain how any members of society (not only capitalists) have resolved comparable dilemmas in all revolutions—the ones in China, Russia, Vietnam, Cuba, or anywhere else.
Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures
This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For UNSURE 2019, 8 papers from 15 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.
AI in Biological and Biomedical Imaging
Doctors Gao and Li hold patents related to artificial intelligence.
Machine Learning and Intelligent Communications
This volume constitutes the refereed post-conference proceedings of the 5th International Conference on Machine Learning and Intelligent Communications, MLICOM 2020, held in Shenzhen, China, in September 2020. Due to COVID-19 pandemic the conference was held virtually. The 55 revised full papers were carefully selected from 133 submissions. The papers are organized thematically in intelligent resource ( spectrum, power) allocation schemes; applications of neural network and deep learning; decentralized learning for wireless communication systems; intelligent antennas design and dynamic configuration; intelligent communications; intelligent positioning and navigation systems; smart unmanned vehicular technology; intelligent space and terrestrial integrated networks; machine learning algorithm and Intelligent networks.
