THE BUDGET CLASSIFICATION AS THE BASIS OF THE USAGE OF THE METHOD OF ACCRUAL IN THE PUBLIC SECTOR
Components of the budget classification of Ukraine, which are used for accounting and administration of budgets of different levels, have been investigated.
Y. Kaliuha
doaj +2 more sources
Adaptive classification under computational budget constraints using sequential data gathering
Dirk Deschrijver +2 more
exaly +2 more sources
Federal Spending Planning in Germany: Accuracy of Projections [PDF]
The article considers the decrease in the reliability of expenditures’ budgeting in Germany that has occurred in recent years. The author used the data on the formation and execution of a five-year financial plan for 2017‒2021.
Maria V. Gracheva
doaj +1 more source
The state social insurance budget in terms of budget classification
The unified system of codes that groups and systematizes budgetary indicators according to certain criteria reflects the budgetary classification, which is important for policy formulation, identifying resource allocation, establishing accountability for
Liliana Mardari
semanticscholar +1 more source
Digitalization in the Processes of Classification of the Country’s Budget Expenditures
The study of the processes of planning and accounting of budget expenditures in the context of digitalization and the development of the processes of classification and coding of costs is an important urgent task of improving public financial management.
L. I. Sergeev, D. L. Sergeev
doaj +1 more source
Budget-Based Classification of Parkinson's Disease From Resting State EEG
Early detection is vital for future neuroprotective treatments of Parkinson's disease (PD). Resting state electroencephalographic (EEG) recording has shown potential as a cost-effective means to aid in detection of neurological disorders such as PD.
Ilkka Suuronen +5 more
semanticscholar +1 more source
Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm [PDF]
Given the large-scale data and the high annotation cost, pretraining-finetuning becomes a popular paradigm in multiple computer vision tasks. Previous research has covered both the unsupervised pretraining and supervised finetuning in this paradigm ...
Yichen Xie +5 more
semanticscholar +1 more source
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias [PDF]
It has become cognitive inertia to employ cross-entropy loss function in classification related tasks. In the untargeted attacks on graph structure, the gradients derived from the attack objective are the attacker's basis for evaluating a perturbation ...
Zi-Han Liu +4 more
semanticscholar +1 more source
Medical diffusion on a budget: textual inversion for medical image generation [PDF]
Diffusion models for text-to-image generation, known for their efficiency, accessibility, and quality, have gained popularity. While inference with these systems on consumer-grade GPUs is increasingly feasible, training from scratch requires large ...
B. de Wilde +4 more
semanticscholar +1 more source

