A framework for the fine-grained evaluation of the instantaneous expected value of soccer possessions [0.03%]
足球控球瞬间预期价值细粒度评估框架
Javier Fernández,Luke Bornn,Daniel Cervone
Javier Fernández
The expected possession value (EPV) of a soccer possession represents the likelihood of a team scoring or conceding the next goal at any time instance. In this work, we develop a comprehensive analysis framework for the EPV, providing socce...
autoBOT: evolving neuro-symbolic representations for explainable low resource text classification [0.03%]
autoBOT：进化神经符号表示用于可解释的低资源文本分类
Blaž Škrlj,Matej Martinc,Nada Lavrač et al.
Blaž Škrlj et al.
Learning from texts has been widely adopted throughout industry and science. While state-of-the-art neural language models have shown very promising results for text classification, they are expensive to (pre-)train, require large amounts o...
MLife: a lite framework for machine learning lifecycle initialization [0.03%]
MLife：一个用于初始化机器学习生命周期的简洁框架
Cong Yang,Wenfeng Wang,Yunhui Zhang et al.
Cong Yang et al.
Machine learning (ML) lifecycle is a cyclic process to build an efficient ML system. Though a lot of commercial and community (non-commercial) frameworks have been proposed to streamline the major stages in the ML lifecycle, they are normal...
Sabina Tomkins,Peng Liao,Predrag Klasnja et al.
Sabina Tomkins et al.
In mobile health (mHealth) smart devices deliver behavioral treatments repeatedly over time to a user with the goal of helping the user adopt and maintain healthy behaviors. Reinforcement learning appears ideal for learning how to optimally...
An Extended DEIM Algorithm for Subset Selection and Class Identification [0.03%]
扩展的DEIM算法在子集选择和分类识别中的应用
Emily P Hendryx,Béatrice M Rivière,Craig G Rusin
Emily P Hendryx
The discrete empirical interpolation method (DEIM) has been shown to be a viable index-selection technique for identifying representative subsets in data. Having gained some popularity in reducing dimensionality of physical models involving...
David J Hand,Peter Christen,Nishadi Kirielle
David J Hand
The F-measure, also known as the F1-score, is widely used to assess the performance of classification algorithms. However, some researchers find it lacking in intuitive interpretation, questioning the appropriateness of combining two aspect...
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19 [0.03%]
人工智能和机器学习如何帮助医疗体系应对新冠肺炎疫情
Mihaela van der Schaar,Ahmed M Alaa,Andres Floto et al.
Mihaela van der Schaar et al.
The COVID-19 global pandemic is a threat not only to the health of millions of individuals, but also to the stability of infrastructure and economies around the world. The disease will inevitably place an overwhelming burden on healthcare s...
CPAS: the UK's national machine learning-based hospital capacity planning system for COVID-19 [0.03%]
CPAS：英国的全国基于机器学习的医院新冠肺炎疫情应对收治能力规划系统
Zhaozhi Qian,Ahmed M Alaa,Mihaela van der Schaar
Zhaozhi Qian
The coronavirus disease 2019 (COVID-19) global pandemic poses the threat of overwhelming healthcare systems with unprecedented demands for intensive care resources. Managing these demands cannot be effectively conducted without a nationwide...
Blaž Škrlj,Jan Kralj,Nada Lavrač
Blaž Škrlj
Mining complex data in the form of networks is of increasing interest in many scientific disciplines. Network communities correspond to densely connected subnetworks, and often represent key functional parts of real-world systems. This pape...
Peter A Flach
Peter A Flach