Unsupervised classification during time-series model building
Researchers who collect multivariate time-series data across individuals must decide
whether to model the dynamic processes at the individual level or at the group level. A …
whether to model the dynamic processes at the individual level or at the group level. A …
Data-driven subgroups in depression derived from directed functional connectivity paths at rest
Depressed patients show abnormalities in brain connectivity at rest, including
hyperconnectivity within the default mode network (DMN). However, there is well-known …
hyperconnectivity within the default mode network (DMN). However, there is well-known …
Link-prediction enhanced consensus clustering for complex networks
Many real networks that are collected or inferred from data are incomplete due to missing
edges. Missing edges can be inherent to the dataset (Facebook friend links will never be …
edges. Missing edges can be inherent to the dataset (Facebook friend links will never be …
Investigating the muti-scaling properties and connectedness of the sovereign bond yields: Hurst exponent and network analysis approach
Using daily yield data of 14 sovereign bond markets from emerging and developed
economies from July 10, 2000, to July 10, 2022, we examine their scaling properties using …
economies from July 10, 2000, to July 10, 2022, we examine their scaling properties using …
A systematic review of Automatic Term Extraction: What happened in 2022?
GM Di Nunzio, S Marchesin… - Digital Scholarship in the …, 2023 - academic.oup.com
Abstract Automatic Term Extraction (ATE) systems have been studied for many decades as,
among other things, one of the most important tools for tasks such as information retrieval …
among other things, one of the most important tools for tasks such as information retrieval …