OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Machine Learning Ensemble Modelling for Predicting Unemployment Duration
Barbora Gabrikova, Lucia Švábová, Katarína Kramárová
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10146-10146
Open Access | Times Cited: 28
Barbora Gabrikova, Lucia Švábová, Katarína Kramárová
Applied Sciences (2023) Vol. 13, Iss. 18, pp. 10146-10146
Open Access | Times Cited: 28
Showing 1-25 of 28 citing articles:
Forecasting Financial Literacy Levels with Respect to Consumer Shopping Behaviour
Eva Kicová, Lucia Švábová, Oľga Poniščiaková, et al.
International Journal of Financial Studies (2025) Vol. 13, Iss. 1, pp. 26-26
Open Access
Eva Kicová, Lucia Švábová, Oľga Poniščiaková, et al.
International Journal of Financial Studies (2025) Vol. 13, Iss. 1, pp. 26-26
Open Access
Human Error Analysis and Fatality Prediction in Maritime Accidents
Andrea Maternová, Matúš Materna, Andrej Dávid, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 12, pp. 2287-2287
Open Access | Times Cited: 12
Andrea Maternová, Matúš Materna, Andrej Dávid, et al.
Journal of Marine Science and Engineering (2023) Vol. 11, Iss. 12, pp. 2287-2287
Open Access | Times Cited: 12
Analysing Urban Traffic Patterns with Neural Networks and COVID-19 Response Data
Lucia Švábová, Kristián Čulík, Karol Hrudkay, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7793-7793
Open Access | Times Cited: 1
Lucia Švábová, Kristián Čulík, Karol Hrudkay, et al.
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7793-7793
Open Access | Times Cited: 1
Artificial neural network and decision tree-based modelling of non-prosperity of companies
Marek Ďurica, Jaroslav Frnda, Lucia Švábová
Equilibrium Quarterly Journal of Economics and Economic Policy (2023) Vol. 18, Iss. 4, pp. 1105-1131
Open Access | Times Cited: 3
Marek Ďurica, Jaroslav Frnda, Lucia Švábová
Equilibrium Quarterly Journal of Economics and Economic Policy (2023) Vol. 18, Iss. 4, pp. 1105-1131
Open Access | Times Cited: 3
Conceptualizing Predictive Conceptual Model for Unemployment Rates in the Implementation of Industry 4.0: Exploring Machine Learning Techniques
Joshua Ebere Chukwuere
(2024)
Open Access
Joshua Ebere Chukwuere
(2024)
Open Access
İŞSİZLİK ORANI ÖNGÖRÜLERİNDE MAKİNE ÖĞRENİMİ YAKLŞIMLARI: TÜRKİYE ÜZERİNE BİR UYGULAMA
Polad Aliyev
Iğdır Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi (2024), Iss. 11, pp. 1-14
Open Access
Polad Aliyev
Iğdır Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi (2024), Iss. 11, pp. 1-14
Open Access
From rules to forests: rule-based versus statistical models for jobseeker profiling
Álvaro F. Junquera, Christoph Kern
(2024)
Open Access
Álvaro F. Junquera, Christoph Kern
(2024)
Open Access
ALMP participation has reduced over time in absolute and relative terms
Connecting people with jobs (2024)
Open Access
Connecting people with jobs (2024)
Open Access
ALMPs addressing specific needs have differing success in attracting participants with these needs
Connecting people with jobs (2024)
Open Access
Connecting people with jobs (2024)
Open Access
Latvia is projected to have the fastest shrinking population in the OECD
Connecting people with jobs (2024)
Open Access
Connecting people with jobs (2024)
Open Access
Around one‑third of registered unemployed people had weak labour market attachment prior to becoming unemployed
Connecting people with jobs (2024)
Open Access
Connecting people with jobs (2024)
Open Access
Differentiation in the profiling tool between low and medium employability could be improved for ALMPs which cater to general, geographic and skills needs
Connecting people with jobs (2024)
Open Access
Connecting people with jobs (2024)
Open Access
Latvia spends little on active labour market policies despite an unemployment rate above the OECD average
Connecting people with jobs (2024)
Open Access
Connecting people with jobs (2024)
Open Access
ALMPs targeting risk employability groups are not always more likely to have those individuals participating in them
Connecting people with jobs (2024)
Open Access
Connecting people with jobs (2024)
Open Access
Individuals without profiling information leave registered unemployment much faster
Connecting people with jobs (2024)
Open Access
Connecting people with jobs (2024)
Open Access
Detailed recommendations for modernising the State Employment Agency
Connecting people with jobs (2024)
Open Access
Connecting people with jobs (2024)
Open Access
The role of ALMPs in reaching people in need of support and addressing their needs
Connecting people with jobs (2024)
Open Access
Connecting people with jobs (2024)
Open Access
Individuals with skills needs have these needs addressed most commonly
Connecting people with jobs (2024)
Open Access
Connecting people with jobs (2024)
Open Access
Data on profiling are missing for many jobseekers registered with the SEA
Connecting people with jobs (2024)
Open Access
Connecting people with jobs (2024)
Open Access
