Search Results - subject:"Ensemble Learning"

Degiannakis, Stavros; Kafousaki, Eleftheria - 2025

Persistent link: https://www.econbiz.de/10015197246

Enhancing intermittent spare part demand forecasting : a novel ensemble approach with focal loss and smote

Kenaka, Saskia Puspa; Cakravastia, Andi; Ma'ruf, Anas; … - In: Logistics 9 (2025) 1, pp. 1-25

Background: Accurate inventory management of intermittent spare parts requires precise demand forecasting. The sporadic and irregular nature of demand, characterized by long intervals between occurrences, results in a significant data imbalance, where demand events are vastly outnumbered by...

Persistent link: https://www.econbiz.de/10015337499

Ensemble distributional forecasting for insurance loss reserving

Avanzi, Benjamin; Li, Yanfeng; Wong, Bernard; Xian, Alan - In: Scandinavian actuarial journal 2024 (2024) 9, pp. 971-1012

Persistent link: https://www.econbiz.de/10015188234

A statistical learning approach to pasture, rangeland, forage (PRF) insurance coverage selection

Zapata, Samuel D.; Villavicencio, Xavier; Xicay, Anderson - In: Applied economic perspectives and policy 46 (2024) 4, pp. 1429-1449

Persistent link: https://www.econbiz.de/10015135227

Machine learning for product choice prediction

Martínez-Garmendia, Josué - In: Journal of marketing analytics : JMA 12 (2024) 3, pp. 656-667

Persistent link: https://www.econbiz.de/10015138125

Advanced financial market forecasting : integrating Monte Carlo simulations with ensemble Machine Learning models

Deep, Akash - In: Quantitative finance and economics 8 (2024) 2, pp. 286-314

Persistent link: https://www.econbiz.de/10015133043

Cryptocurrency price forecasting : a comparative analysis of ensemble learning and deep learning methods

Bouteska, Ahmed; Abedin, Mohammad Zoynul; Hájek, Petr; … - In: International review of financial analysis 92 (2024), pp. 1-12

Persistent link: https://www.econbiz.de/10014492430

An automatic humor identification model with novel features from Berger's typology and ensemble models

Mahajan, Rutal; Zaveri, Mukesh - In: Decision analytics journal 11 (2024), pp. 1-14

emotion recognition. This study introduces a novel approach to automatic humor identification in text using ensemble learning … performance of various ensemble learning methods. The proposed approach demonstrates exceptional results, achieving an 83.32% F …-score with the Support Vector Machine classifier and an 85.68% accuracy using the stacking-based ensemble learning method with …

Persistent link: https://www.econbiz.de/10015101685

Research on green supply chain finance risk identification based on two-stage deep learning

Liu, Ying; Li, Sizhe; Yu, Chunmei; Lv, Mingli - In: Operations research perspectives 13 (2024), pp. 1-18

As a resonance product between financial services and the upgrading of the green industry, green supply chain finance has garnered extensive attention in the process of ecological civilization construction. Effectively promoting the green transformation of small and medium-sized enterprises and...

Persistent link: https://www.econbiz.de/10015372636

Towards algorithm-assisted career management - a challenge for new immigration countries : predicting migrants' work trajectory using ensemble learning

Maj, Jolanta; Ruszczak, Bogdan; Kubiciel–Lodzińska, … - In: Central European business review : CEBR 13 (2024) 5, pp. 1-22

Persistent link: https://www.econbiz.de/10015404057