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Machine Learning in Clinical Neuroimaging
This book constitutes the refereed proceedings of the 6th International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2023, held in Conjunction with MICCAI 2023 in Vancouver, Canada, in October 2023. The book includes 16 papers which were carefully reviewed and selected from 28 full-length submissions. The 6th International Workshop on Machine Learning in Clinical Neuroimaging (MLCN 2023) aims to bring together the top researchers in both machine learning and clinical neuroscience as well as tech-savvy clinicians to address two main challenges: 1) development of methodological approaches for analyzing complex and heterogeneous neuroimaging data (machine learning track); and 2) filling the translational gap in applying existing machine learning methods in clinical practices (clinical neuroimaging track). The papers are categorzied into topical sub-headings on Machine Learning and Clinical Applications.
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning
The development of “intelligent” systems that can take decisions and perform autonomously might lead to faster and more consistent decisions. A limiting factor for a broader adoption of AI technology is the inherent risks that come with giving up human control and oversight to “intelligent” machines. For sensitive tasks involving critical infrastructures and affecting human well-being or health, it is crucial to limit the possibility of improper, non-robust and unsafe decisions and actions. Before deploying an AI system, we see a strong need to validate its behavior, and thus establish guarantees that it will continue to perform as expected when deployed in a real-world environment. ...
Regression and Other Stories
A practical approach to using regression and computation to solve real-world problems of estimation, prediction, and causal inference.
Probabilistic Machine Learning
A detailed and up-to-date introduction to machine learning, presented through the unifying lens of probabilistic modeling and Bayesian decision theory. This book offers a detailed and up-to-date introduction to machine learning (including deep learning) through the unifying lens of probabilistic modeling and Bayesian decision theory. The book covers mathematical background (including linear algebra and optimization), basic supervised learning (including linear and logistic regression and deep neural networks), as well as more advanced topics (including transfer learning and unsupervised learning). End-of-chapter exercises allow students to apply what they have learned, and an appendix covers...
Mobilization against Asylum Seekers in Contemporary Urban Spaces
This book investigates the issue of local mobilization against asylum seekers in urban areas, which are often disproportionally affected by complex issues related to immigration and integration, as well as socio-economic development and growing inequalities. Based on ethnographic research in the city of Rotterdam, it explores the conditions under which mobilization against the establishment of an asylum seekers’ centre emerged, offering a combined analysis of interviews, social media, and mainstream media to demonstrate the key role played by storytelling in the development of opposition to the arrival of asylum seekers. Presenting a theoretical model of anti-immigration mobilization that connects the social importance of storytelling to broader socio-political developments and conditions, this volume will appeal to scholars of sociology, anthropology, and politics with interests in migration, social movements, and mobilization around contentious issues.
Handbook on Theories of Governance
The thoroughly revised and updated Handbook on Theories of Governance brings together leading scholars in the field to summarise and assess the diversity of governance theories. The Handbook advances a deeper theoretical understanding of governance processes, illuminating the interdisciplinary foundations of the field.
Cooling Down
Climate change is a slowly advancing crisis sweeping over the planet and affecting different habitats in strikingly diverse ways. While nations have signed treaties and implemented policies, most actual climate change assessments, adaptations, and countermeasures take place at the local level. People are responding by adjusting their practices, livelihoods, and cultures, protesting and migrating. This book portrays the diversity of explanations and remedies as expressed at the community level and its emphasis on the crucial importance of ethnographic detail in demonstrating how people in different parts of the world are scaling down the phenomenon of global warming.
The Cognitive Neurosciences
"The fourth edition of The Cognitive Neurosciences continues to chart new directions in the study of the biologic underpinnings of complex cognition - the relationship between the structural and physiological mechanisms of the nervous system and the psychological reality of the mind. The material in this edition is entirely new, with all chapters written specifically for it." --Book Jacket.
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020
The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267 constitutes the refereed proceedings of the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, held in Lima, Peru, in October 2020. The conference was held virtually due to the COVID-19 pandemic. The 542 revised full papers presented were carefully reviewed and selected from 1809 submissions in a double-blind review process. The papers are organized in the following topical sections: Part I: machine learning methodologies Part II: image reconstruction; prediction and diagnosis; cross-domain methods and reconstruction; domain adaptation; machine learning applica...
Crisis in Sociology
Crisis in Sociology presents a compelling portrait of sociology's current troubles and proposes a controversial remedy. In the authors' view, sociology's crisis has deep roots, traceable to the over-ambitious sweep of the discipline's founders. Generations of sociologists have failed to focus effectively on the tasks necessary to build a social science. The authors see sociology's most disabling flaw in the failure to discover even a single general law or principle. This makes it impossible to systematically organize empirical observations, guide inquiry by suggesting falsifiable hypotheses, or form the core of a genuinely cumulative body of knowledge. Absent such a theoretical tool, sociolo...
