Št. zadetkov: 11
Izvirni znanstveni članek
Oznake:
industry classification;BERT transformer;business descriptions;multiclass text classification;AI;
This paper presents a broad study on the application of the BERT (Bidirectional Encoder Representations from Transformers) model for multiclass text classification, specifically focusing on categorizing business descriptions into 1 of 13 distinct industry categories. The study involved a detailed fi ...
Leto:
2024
Vir:
Ekonomsko-poslovna fakulteta (UM EPF)
Izvirni znanstveni članek
Oznake:
industrial classification schemes;personal culture peer companies;artificial intelligence;semantic text similarity;BERT;
Background: Traditional classification systems, such as NACE and NAICS, primarily classify businesses by industry, limiting their ability to identify related companies. Objectives: This research aims to improve the identification of related companies by analysing their descriptions, utilising a more ...
Leto:
2026
Vir:
Ekonomsko-poslovna fakulteta (UM EPF)
Magistrsko delo
Oznake:
magistrska dela;nepremičninski trg;stanovanjske hiše;modeliranje;regresija;cenilka najmanjših kvadratov;
V magistrskem delu je obravnavan model napovedi oz. ocene cene nepremičnin za primer stanovanjskih hiš, ki temelji na principu multiple regresije. Analiza, ocena parametrov in testiranje ustreznosti modela je izvedeno na osnovi realnih podatkov, pridobljenih iz Evidence trga nepremičnin. Vzorec zaje ...
Leto:
2023
Vir:
Fakulteta za naravoslovje in matematiko (UM FNM)
Pregledni znanstveni članek
Oznake:
business valuation;traditional and advanced valuation methods;machine learning;neural networks;artificial intelligence;
Purpose of the article–this article addresses the challenge of accurately assessing business value in today's dynamic environment, exploring the limitations of traditional valuation methods and the potential of modern, technology-driven approaches.Research methodology–the study uses qualitat ...
Leto:
2024
Vir:
Ekonomsko-poslovna fakulteta (UM EPF)
Izvirni znanstveni članek
Oznake:
ESG;financial performance;ROA;ROE;regression;neural network;
This study investigates the relationship between ESG ratings and a firm’s financial performance, focusing on Return on Assets (ROA) and Return on Equity (ROE). Using a combination of stepwise linear regression and feedforward neural networks (FFNN), we assess both the linear and nonlinear effects of ...
Leto:
2025
Vir:
Ekonomsko-poslovna fakulteta (UM EPF)
Izvirni znanstveni članek
Oznake:
crypto investors;identification;characteristics;machine learning;coarse tree model;artificial intelligence;
This study explores the characteristics of individual investors in crypto asset markets using machine learning and explainable artificial intelligence (XAI) methods. The primary objective was to identify the most effective model for predicting the likelihood of an individual investing in crypto asse ...
Leto:
2025
Vir:
Ekonomsko-poslovna fakulteta (UM EPF)
Izvirni znanstveni članek
Oznake:
economic development;economic footprint;government policy;health sector;input– output tables;multipliers;
In low- and middle-income countries like Serbia, improving access to healthcare is a central objective of social and development policy, closely linked to the Sustainable Development Goals, particularly SDG 3 (Good Health and Well-Being) and SDG 8 (Decent Work and Economic Growth). However, healthca ...
Leto:
2026
Vir:
Ekonomsko-poslovna fakulteta (UM EPF)
Izvirni znanstveni članek
Oznake:
private firm valuation;multiples;peer group;peer selection;artificial intelligence;self-organizing map;
Forming optimal peer groups is a crucial step in multiplier valuation. Among others, the traditional regression methodology requires the definition of the optimal set of peer selection criteria and the optimal size of the peer group a priori. Since there exists no universally applicable set of close ...
Leto:
2024
Vir:
Ekonomsko-poslovna fakulteta (UM EPF)
Izvirni znanstveni članek
Oznake:
risk register;AI detection risk model;high frequencies analysis;
This month’s edition of the IFAI Global Risk Radar offers a comprehensive assessment of global risk signals, derived from news sources worldwide and IFAI’s expanded taxonomy of financial, operational, environmental, market, geopolitical, and systemic risks. The analysis indicates a marked divergence ...
Leto:
2025
Vir:
Ekonomsko-poslovna fakulteta (UM EPF)
Izvirni znanstveni članek
Oznake:
global risk radar;geopolitical risk;commodity price volatility;risk regimes;early warning indicators;
Leto:
2026
Vir:
Ekonomsko-poslovna fakulteta (UM EPF)