Microfounded tax revenue forecast model with heterogeneous population and genetic algorithm approach

A Alexi, T Lazebnik, L Shami - Computational Economics, 2024 - Springer
The ability of governments to accurately forecast tax revenues is essential for the successful
implementation of fiscal programs. However, forecasting state government tax revenues …

[HTML][HTML] Multi-species prey–predator dynamics during a multi-strain pandemic

A Alexi, A Rosenfeld, T Lazebnik - Chaos: An Interdisciplinary Journal …, 2023 - pubs.aip.org
Small and large scale pandemics are a natural phenomenon repeatably appearing
throughout history, causing ecological and biological shifts in ecosystems and a wide range …

[HTML][HTML] Individual variation affects outbreak magnitude and predictability in multi-pathogen model of pigeons visiting dairy farms

T Lazebnik, O Spiegel - Ecological Modelling, 2025 - Elsevier
Zoonotic disease transmission between animals and humans is a growing risk, and the
agricultural context acts as a likely point of transition, with an important role of individual …

Intervention policy influence on the effect of epidemiological crisis on industry-level production through input–output networks

T Lazebnik, L Shami… - Socio-Economic Planning …, 2023 - Elsevier
During a global epidemiological crisis, lockdowns and border closures substantially disrupt
international supply chains, underscoring the importance of choosing an intervention policy …

Distribution enhancement for imbalanced data with generative adversarial network

Y Chen, W Pedrycz, T Pan, J Wang… - Advanced Theory and …, 2024 - Wiley Online Library
Tackling imbalanced problems encountered in real‐world applications poses a challenge at
present. Oversampling is a widely useful method for imbalanced tabular data. However …

Effect of infection hubs in district-based network epidemic spread model

V Khorev, V Kazantsev, A Hramov - Applied Sciences, 2023 - mdpi.com
A network model of epidemic spread accounting for inhomogeneous population district
division is investigated. Motivated by the COVID-19 pandemic, we analyze the effects of …

On strategies to help reduce contamination on public transit: a multilayer network approach

FR Gubert, P Santin, M Fonseca, A Munaretto… - Applied Network …, 2023 - Springer
In times of a global pandemic, public transit can be crucial to spreading viruses, especially in
big cities. Many works have shown that the human infection risk could be extremely high due …

Inverse problem for parameters identification in a modified SIRD epidemic model using ensemble neural networks

M Petrica, I Popescu - BioData Mining, 2023 - Springer
In this paper, we propose a parameter identification methodology of the SIRD model, an
extension of the classical SIR model, that considers the deceased as a separate category. In …