Abstract Machine and deep learning survival models demonstrate similar or even improved
time-to-event prediction capabilities compared to classical statistical learning methods yet …

Structuring the scattered literature on algorithmic profiling in the case of unemployment
through a systematic literature review | Emerald Insight Books and journals Case studies …

We address the problem of estimating the time-to-employment of a jobseeker using survival
analysis and oblique predictive clustering tree. Unlike standard survival analysis, oblique …

At the centre of labour market policy activities in most modern welfare states are public
employment services (PES) and their caseworkers, who enforce labour market policies on …

Quantile regression neural network (QRNN) model has recently become popular in solving
complex nonlinear problems, but the quantile curves achieved by QRNN model may cross …

Аннотация Исследуются факторы, влияющие на продолжительность регистрируемой
безработицы и вероятность трудоустройства после выхода из нее. Такой анализ …

There is little evidence on the right approach on how to delineate the sub-networks in a
labour market. The subject of research in this paper is computational influence identification …

С началом в 2019 г. реформы государственных региональных служб занятости
населения и с изменением института выплаты пособия зарегистрированным …

To tackle the societal and person-specific adverse consequences of long-term
unemployment, many public employment services (PES) have implemented data-driven …

Predictions of the individual unemployment duration will allow to distribute target support
while searching for a job more effectively. The paper uses survival models to predict the …