Research output per year
Research output per year
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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Dive into the research topics where Department of Mathematics for Economic, Financial and Actuarial Sciences (DiMSEFA) is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country level (based on research outputs with Scopus ID). Dive into details by clicking on the dots.
Profiles
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A note on smooth rotund norms which are not midpoint locally uniformly rotund
De Bernardi, C. A., Preti, A. & Somaglia, J., 2025, In: Journal of Mathematical Analysis and Applications. 550, p. N/A-N/AResearch output: Contribution to journal › Article
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New Economic Era Thinking and Stock Market Bubbles: A Two-Dimensional Piecewise Linear Discontinuous Map Approach
Gardini, L., Radi, D., Schmitt, N., Sushko, I. & Westerhoff, F., 2025, 28th International Conference on Difference Equations and Applications, ICDEA 2023. Elaydi, S., Gardini, L. & Tikjha, W. (eds.). Vol. 485. p. 173-202 30 p. (SPRINGER PROCEEDINGS IN MATHEMATICS & STATISTICS).Research output: Chapter in Book/Report/Conference proceeding › Chapter
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On projected solutions for quasi equilibrium problems with non-self constraint map
Bianchi, M., Miglierina, E. & Ramazannejad, M., 2025, In: Optimization. 2025, p. N/A-N/A 25 p.Research output: Contribution to journal › Article
Datasets
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Machine-learning models for bankruptcy prediction: do industrial variables matter?
Bragoli, D. (Creator), Ferretti, C. (Creator), Ganugi, P. (Creator), Marseguerra, G. (Creator), Mezzogori, D. (Creator) & Zammori, F. (Creator), Taylor & Francis, 2021
DOI: 10.6084/m9.figshare.16763872, https://tandf.figshare.com/articles/dataset/Machine-learning_models_for_bankruptcy_prediction_do_industrial_variables_matter_/16763872
Dataset
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Machine-learning models for bankruptcy prediction: do industrial variables matter?
Bragoli, D. (Creator), Ferretti, C. (Creator), Ganugi, P. (Creator), Marseguerra, G. (Creator), Mezzogori, D. (Creator) & Zammori, F. (Creator), Taylor & Francis, 2021
DOI: 10.6084/m9.figshare.16763872.v1, https://tandf.figshare.com/articles/dataset/Machine-learning_models_for_bankruptcy_prediction_do_industrial_variables_matter_/16763872/1
Dataset