“…Whether, and under what conditions, groups exhibit “crowd wisdom” has been a major focus of research across the social and computational sciences. Much of this work has focused on the role of social influence in promoting the wisdom of the crowd versus leading the crowd astray and has resulted in conflicting conclusions about how social network structure determines the impact of social influence. …”
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“…This book also: ·         Provides a comprehensive overview of the use of computational surgery and disease management ·         Discusses the design and use of medical robotic tools for orthopedic surgery, endoscopic surgery, and prostate surgery ·         Provides practical examples and case studies in the areas of image processing, virtual surgery, and simulation training Computational Surgery and Dual Training: Computing, Robotics and Imaging is an ideal book for graduate students and professionals in the area of bioengineering, computational science, computational medicine, and medical residents in surgery.…”
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“…The book is addressed to researchers in computational sciences, in general, and in approximation of solutions of nonlinear problems, in particular.…”
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“…This work will appeal to researchers and graduate students alike, particularly those in the fields of Mathematics, Electrical Engineering and Computer Sciences, with an interest in discrete geometry and coding theory.…”
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“…--HTML-->The interpretability of machine learning models remains a critical yet elusive aspect of contemporary computational science. In this presentation, I specifically explore the interpretability of machine learning algorithms by applying self-attention maps to the AtmoRep large-scale weather prediction model. …”
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“…We implement a method from computer sciences to address a challenge in Paleolithic archaeology: how to infer cognition differences from material culture. …”
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“…The technical methodology used to implement multivariate regression is well established – Bayesian network structure discovery – and while a relative newcomer to the epidemiological literature has a long history in computing science. Applications of multivariate analysis in epidemiological studies can provide a greater understanding of disease processes at the population level, leading to the design of better disease control and prevention programs.…”
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“…While investigation of these processes remains a challenge, advances in genome-wide technologies and growing interactions between laboratory and computational science are starting to produce increasingly accurate network models. …”
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“…The scanning was followed by mathematical and statistical analysis using innovative algorithms from the field of computer sciences. Using selected Fourier coefficients, a very clear separation was obtained between most of the varieties, with only very few overlaps. …”
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“…DSM symptoms remain valuable because they are the only data that are immediately and directly observable. Computational science is a promising instrument to interconnect psychopathological and neuroscientific data in the future.…”
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“…Many areas of computational science face similar problems where computational costs are too high for personal computers so that supercomputers or clusters currently are necessary. …”
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“…This paper presents a Scala tool for the computational science of biomolecules (STCSB) developed in Scala, which allows users to prepare and run MD simulations, as well as perform three-dimensional reference interaction site model (3D-RISM) calculations of biomolecules. …”
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“…This study is based on Philippe van der Voorn’s master’s dissertation at the Utrecht University, Department of Science, Information and Computing Sciences. The problem identified was a lack of an integrated information chain and clear governance structure for information flow in the Netherlands’ health care sector. …”
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“…Model selection is a chronic issue in computational science. The conventional approach relies heavily on human experience. …”
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