Search Results - subject_exact:"Classification"

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Evaluation of the performance of data classification models for aerial imagery under resource constraints

Prystavka, Pylyp; Cholyshkina, Olha; Zivakin, Valerii; … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015549098

Fintech classification methodology

Lentini, Alessandro; Munteanu, Daniela Elena; Zennaro, … - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015422801

The evolving boundary of green technology

Barbieri, Nicolò; Hötte, Kerstin; Persoon, Peter - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015412113

Machine learning analysis of financial risk dynamics in micro-, small, and medium enterprises

Božović, Dražen; Perović, Nataša; Aleksić, Marinko; … - 2025

This study examines the use of artificial neural networks (ANNs) to classify financial risks in micro-, small-, and medium-sized enterprises (MSMEs) in Montenegro and the wider Western Balkan region. The economies in this region share structural similarities, such as a high concentration of...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015561615

Predicting bank defaults with AI : improvements over statistical and machine learning methods

Monahov, Alexandru - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015638613

Generating, grading, and ghosting : how organizing experts shapes expertise

Monteiro, Pedro - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015397616

Integrating strategic properties with social perspectives : a bipartite classification of two-by-two games

Avrashi, Shacked; Givon, Lior; Fischer, Ilan - 2025

Classifying games according to their strategic properties provides meaningful insights into the motivations driving the interacting parties, suggests possible future trajectories, and in some cases also points to potential interventions aiming to influence the interactions' outcomes. Here, we...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015560520

Supervised and unsupervised outlier detection machine learning algorithms in wireless sensor networks

Darabseh, Alaa; Khethavath, Praveen - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015376300

The five-factor model analysed by machine learning classification techniques

Park, Woojin; Song, Yong Uk; Chun, Dohyun; Kim, Jihun - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015444783

Unpacking the 'developing' country classification : origins and hierarchies

Barros Leal Farias, Deborah - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015055153

Use of machine learning for classifying manufacturing companies based on their digital transformation levels

Acar, Ece; Sariyer, Gorkem - 2025

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015647479

Toward a notation for modeling value driver trees : classification development and research agenda

Matthies, Benjamin - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015152907

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Toward a notation for modeling value driver trees: Classification development and research agenda

Matthies, Benjamin - 2024

Article

Predicting mortgage loan defaults using machine learning techniques

Krasovytskyi, Danylo; Stavytskyy, Andriy - 2024

Mortgage default prediction is always on the table for financial institutions. Banks are interested in provision planning, while regulators monitor systemic risk, which this sector may possess. This research is focused on predicting defaults on a one-year horizon using data from the Ukrainian...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015047688

Construction of regression models predicting lead times and classification models

Olszewski, Paweł; Gilejko, Leszek; Rakova, Natalia; … - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014543796

Development of machine learning models for categorisation of Nigerian government's procurement spending to UNSPSC procurement taxonomy

Abdullahi, Bello; Ibrahim, Yahaya Makarfi; Ibrahim, … - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015064828

Understanding and predicting recidivism in Latin America : a machine learning approach

Anauati, María Victoria; Romero, María Noelia; … - 2026

Recidivism is a persistent challenge for criminal justice systems worldwide, yet evidence from Latin America remains scarce. This study addresses that gap through three contributions. First, it reviews the individual, institutional, and contextual determinants of recidivism, with special...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015608807

AI-powered skill classification : mapping technology intensity in the German labor market

Genz, Sabrina; Gregory, Terry; Lehmer, Florian - 2026

The rapid evolution of technology is reshaping labor markets by altering skill demands and job profiles. This paper introduces a novel skill-based measure of occupational technology intensity - the Occupational Technology Skill Share (OTSS) - that distinguishes between manual, digital, and...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015616449

Applying machine learning algorithms to determine and predict the reasons and models for employee turnover

Shankar, Shardul; Vyas, Ranjana; Tewari, Vijayshri - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015064845

Analysis of machine learning integration into supply chain management

Rodríguez, Elen Yanina Aguirre; Rodríguez, Elias … - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015064962

Multi-criteria ordinal hierarchical classification to improve energy investment decisions

Diaz Robles, Raymundo; Granados Montelongo, Juan Antonio; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015620384

Wireless communications equipment markets : evolution, classification, and measurement

Greenstein, Noah; Fontana, Roberto; Greenstein, Shane M.; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015677321

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Wireless communications equipment markets : evolution, classification, and measurement

Greenstein, Noah; Fontana, Roberto; Greenstein, Shane M.; … - 2026

Book / Working Paper

Improving churn prediction using imperialist competitive algorithm for feature selection in telecom

Abbasimehr, Hossein; Bahrini, Aram - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015061811

Toward a Green Taxonomy in Armenia : A Working Paper

2026

The World Bank Group supports the Ministry of Economy of Armenia in developing a green taxonomy (GT) as a key step toward a sound system of identifying, selecting, and financing green and sustainable development projects and actions, and as an essential milestone toward establishing an...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015628241

Improved stock price forecasting by streamlining indicators : an approach via feature selection and classification

Sheikhzadeh, Mohammad Javad; Rahmany, Sajjad - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015062774

Generative AI's impact on critical thinking : revisiting bloom's taxonomy

Gonsalves, Chahna - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015638236

The design of an intrusion detection system in MANET using the IGWO-ANN classification algorithm

Venketesh, R.; Sasikala, K. - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015066469

When development finance spurs entrepreneurship : new evidence from 5 million projects using a machine learning classifier

Werner, Sven; Trotter, Philipp - 2026

Development finance increasingly funds entrepreneurship in developing countries, but evidence of its impact on entrepreneurship is mixed. Existing studies analyze total development finance flows as entrepreneurship-specific development finance data did not previously exist. By training and...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015639040

A classification application for using learning methods in bank costumer's portfolio churn

Simsek, Murat; Tas, Iclal Cetin - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014475344

Adversarial robustness for latent models : revisiting the robust-standard accuracies tradeoff

Javanmard, Adel; Mehrabi, Mohammad - 2024

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014557444

Advanced insurance risk modeling for pseudo-new customers using balanced ensembles and transformer architectures

Solly, Finn L.; Soriano-Gonzalez, Raquel; Juan, Angel A.; … - 2026

In insurance portfolios, classifying customers without a prior history at a given company is particularly challenging due to the absence of historical behavior, extreme class imbalance, heavy-tailed loss distributions, and strict operational constraints. Traditional machine learning approaches,...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015640346

Predicting stock market risk using machine learning classification models

Noh, Seol-Hyun - 2026

This study aims to predict stock market risk and improve preparedness for potential economic crises by identifying sharp declines in stock returns using classification-based machine learning models. Using ten years of KOSPI 200 index data (2015 to 2024), a daily return series was constructed. A...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015640349

Azerbaijan National Green Taxonomy : Recommendation Report

2026

The Azerbaijan National Green Taxonomy Recommendation Report (the Recommendation Report) was developed in response to a technical assistance request from the Central Bank of Azerbaijan and the Azerbaijan Sustainable Finance Expert Group in April 2024. It contributes to the formulation of the...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015656066

A taxonomy of hybrid value logics : how social enterprises combine institutional logics differently

Jakob, Eva Alexandra; Sundermeier, Janina - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015656229

A unified approach to extract interpretable rules from tree ensembles via Integer Programming

Bonasera, Lorenzo; Carrizosa, Emilio - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015534419

Developing Para-hockey for athletes with intellectual disabilities: stakeholder perspectives of challenges and opportunities

Van De Vorst, Sophie; Burns, Jan; Fletcher, Thomas; Van … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015889814

AI-driven peer company identification : a semantic text-similarity approach beyond traditional industry classification systems

Jagrič, Timotej; Herman, Aljaž - 2026

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...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015667949

Teacher-centred martingale posteriors for interpretable binary regression

Tonellato, Stefano F. - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015670863

Assessing brand equity through customer reviews : a naïve Bayes classifier approach

Yeom, Jaesun; Kim, JiYu; Woo, Han-Gyun - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016059500

Feature selection for relative poverty classification in Morocco using supervised machine learning algorithms

Hadrachi, Tariq; el fene, Ahmed; El Kamli, Mohammed; El … - 2026

This study examines the determinants of relative poverty in Morocco using a supervised machine learning approach. Using nationally representative data from the 2013-2014 National Household Consumption and Expenditure Survey, a random forest classifier is employed to identify the most influential...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016072389

From artworks to artists' work : forming hybrid exchange objects

Borgblad, Hanna; Hagberg, Johan - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016086255

Neufassung der Ausbildungsmarkt-Typisierung

Haas, Anette; Lerche, Adrian; Moritz, Michael; Van Phan … - 2026

Die Bundesagentur für Arbeit (BA) nutzt im Rahmen ihres Controllings Regionaltypisierungen, die vom IAB auf Basis eines speziellen zweistufigen Klassifikationsansatzes erstellt werden. Im Controlling der BA stellen diese Vergleichstypen des IAB eine wichtige Grundlage zur Strukturierung von...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016070394

Randomness in large language models : what researchers need to know (and report)

Coqueret, Guillaume; Llull, Joan; Oswald, Florian; … - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016084214

If nothing changes, nothing changes: exploring doing classification differently

Harrington, Nancy; Misener, Laura - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016095842

Comparisons

Graeber, Thomas; Enke, Benjamin - 2026

Economic decisions are often shaped by comparison points such as reference points, goals, expectations and peers. A long-standing puzzle is that decisions sometimes increase in these comparators (assimilation) and sometimes decrease in them (contrast). We develop a simple taxonomy that predicts...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016098006

Who can produce what? : firm capabilities and product entry

Macedoni, Luca; Morrow, John; Tyazhelnikov, Vladimir - 2026

Which firms supply which products? Modeling multi-product firms under heterogeneous markups, we recover firms' costs for produced products and develop an algorithm inspired by recommender systems to predict costs for unproduced products. Lower predicted costs imply increased product adoption and...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016098051

Risk-informed machine learning models for renewal classification in motor insurance

Pichit Boonkrong; Yang, Junwei; Teerawat Simmachan - 2026

This study develops an interpretable machine learning framework for type 1 motor insurance renewal classification using 70,290 real-world Thai policies, providing essential insights for pricing, customer retention, and operational decision making. The dataset was partitioned into a 70% training...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015639023

GeoAI-driven building facade classification for urban pattern analysis : a case study in Murcia, Spain

Martínez-Cuevas, Sandra; García-Aranda, César; … - 2026

The rapid expansion of cities presents new challenges for urban planning and housing policy, making the adoption of advanced technologies essential for supporting evidence-based decision-making. This study introduces an integrated GeoAI (Geospatial Artificial Intelligence) methodology for...

Persistent link: https://ebvufind01.dmz1.zbw.eu/10016072704

Crypto tax transparency : crypto assets and exchange of information for tax purposes

Dilen, Thomas - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015618778

Clustering the Swiss Pension Register

Lettry, Layal Christine - 2023

Persistent link: https://ebvufind01.dmz1.zbw.eu/10014248532

Fintech, credit constraints, and educational intergenerational mobility : evidence from Cameroon

Avom, Désiré; Kamdem, Yvan Audrey - 2026

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015618911