This study has two highlights: (1) problem formulation is proposed to be included as a component of CT practices and (2) CT perspectives are refined to include computational identity and programming empowerment as components. CT concepts could be evaluated by test designs with multiple choice ...
Automatic classification of citation function. In Proc. 2006 Conference on Empirical Methods in Natural Language Processing, 103–110 (Association for Computational Linguistics 2006) Seeber, M., Cattaneo, M., Meoli, M. & Malighetti, P. Self-citations as strategic response to the use of ...
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook introduces...
This piece discusses the history of spatial ’omics, existing protein-inclusive multiomics methods, and the importance of next-generation computational tools for registering and integrating information from different modalities across volumes. Although the present capabilities of spatial proteomics technologies...
This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that...
This study examined the developmental process of children's computational thinking using block-based programming tools, specifically algorithmic thinking and debugging skills. With this aim, a group of children(N=191)from two primary schools were studied for two years beginning from the fourth grade,...
Statisticians, on the other hand, like to think of the meaning of a graph as predefined: Constructdoi:10.2307/1390689Leland WilkinsonJournal of Computational & Graphical StatisticsWilkinson, L. (1993) "Comment on A Model for Studying display Methods of Statistical Graphics," JCGS, 2(4)....
This new discipline in science combines computational thinking, modern computational methods, devices and collateral technologies to address problems far beyond the scope of traditional numerical methods. Computational science typically unifies three distinct elements: ...
We provide detailed guidance on how to build computational and behavioural experiments with the Animal-AI Environment. We present results from a series of agents, including the state-of-the-art deep reinforcement learning agent Dreamer-v3, on newly designed tests and the Animal-AI testbed of 900...
This book provides information on best practices and new thinking regarding the validation of alternative methods for toxicity testing. It covers the validation of experimental and computational methods and integrated approaches to testing and assessment. Validation strategies are discussed for methods employi...