Suhas Thejaswi,Juho Lauri,Aristides Gionis
Suhas Thejaswi
We study a family of reachability problems under waiting-time restrictions in temporal and vertex-colored temporal graphs. Given a temporal graph and a set of source vertices, we find the set of vertices that are reachable from a source via...
Chen Ling,Carl Yang,Liang Zhao
Chen Ling
The complex systems in the real-world are commonly associated with multiple types of objects and relations, and heterogeneous graphs are ubiquitous data structures that can inherently represent multi-modal interactions between objects. Gene...
Computer-aided diagnosis systems: a comparative study of classical machine learning versus deep learning-based approaches [0.03%]
基于经典机器学习与深度学习的计算机辅助诊断系统比较研究
Ramzi Guetari,Helmi Ayari,Houneida Sakly
Ramzi Guetari
The diagnostic phase of the treatment process is essential for patient guidance and follow-up. The accuracy and effectiveness of this phase can determine the life or death of a patient. For the same symptoms, different doctors may come up w...
Sara Migliorini,Mauro Gambini,Elisa Quintarelli et al.
Sara Migliorini et al.
In the era of massive sharing of information, the term social provenance is used to denote the ownership, source or origin of a piece of information which has been propagated through social media. Tracking the provenance of information is b...
Nicholas Botzer,Tim Weninger
Nicholas Botzer
A vast amount of human communication occurs online. These digital traces of natural human communication along with recent advances in natural language processing technology provide for computational analysis of these discussions. In the stu...
GradeAid: a framework for automatic short answers grading in educational contexts-design, implementation and evaluation [0.03%]
gradeaid：一种教育环境下自动批改简答题的框架——设计、实现与评估
Emiliano Del Gobbo,Alfonso Guarino,Barbara Cafarelli et al.
Emiliano Del Gobbo et al.
Automatic short answer grading (ASAG), a hot field of natural language understanding, is a research area within learning analytics. ASAG solutions are conceived to offload teachers and instructors, especially those in higher education, wher...
A survey on rumor detection and prevention in social media using deep learning [0.03%]
基于深度学习的社交媒体谣言检测与防范研究综述
Barsha Pattanaik,Sourav Mandal,Rudra M Tripathy
Barsha Pattanaik
In the current digital era, massive amounts of unreliable, purposefully misleading material, such as texts and images, are being shared widely on various web platforms to deceive the reader. Most of us use social media sites to exchange or ...
Yiqun Xie,Weiye Chen,Erhu He et al.
Yiqun Xie et al.
Spatial data are ubiquitous, massively collected, and widely used to support critical decision-making in many societal domains, including public health (e.g., COVID-19 pandemic control), agricultural crop monitoring, transportation, etc. Wh...
A fair and interpretable network for clinical risk prediction: a regularized multi-view multi-task learning approach [0.03%]
一种公平且可解释的临床风险预测网络：正则化多视角多任务学习方法
Thai-Hoang Pham,Changchang Yin,Laxmi Mehta et al.
Thai-Hoang Pham et al.
In healthcare domain, complication risk profiling which can be seen as multiple clinical risk prediction tasks is challenging due to the complex interaction between heterogeneous clinical entities. With the availability of real-world data, ...
Early portfolio pruning: a scalable approach to hybrid portfolio selection [0.03%]
早期的投资组合删减：一种混合投资组合选择的可扩展方法
Daniele G Gioia,Jacopo Fior,Luca Cagliero
Daniele G Gioia
Driving the decisions of stock market investors is among the most challenging financial research problems. Markowitz's approach to portfolio selection models stock profitability and risk level through a mean-variance model, which involves e...