Vom 20.12.2025 bis 11.01.2026 ist die Universitätsbibliothek geschlossen. Ab dem 12.01.2026 gelten wieder die regulären Öffnungszeiten. Ausnahme: Medizinische Hauptbibliothek und Zentralbibliothek sind bereits ab 05.01.2026 wieder geöffnet. Weitere Informationen

Treffer 1 - 20 von 8.721

1

Comparative analysis of boosting algorithms for predicting personal default.
Nguyen, Nhat ; Ngo, Duy
Cogent Economics & Finance. Dec2025, Vol. 13 Issue 1, p1-20. 20p.

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2

Detection of lung cancer mutation based on clinical and morphological features using adaptive boosting method.
Muflikhah, Lailil ; Nurfansepta, Amira G. ; Santoso, Edy ; et al.
International Journal of Systematic Innovation. Aug2025, Vol. 9 Issue 4, p32-41. 10p.

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3

Identification of Investment-Ready SMEs: A Machine Learning Framework to Enhance Equity Access and Economic Growth.
Gogas, Periklis ; Papadimitriou, Theophilos ; Goumenidis, Panagiotis ; et al.
Forecasting. Sep2025, Vol. 7 Issue 3, p51. 36p.

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4

Improving the forecast performance of landslide susceptibility mapping by using ensemble gradient boosting algorithms.
Ha, Hang ; Bui, Quynh Duy ; Tran, Dinh Trong ; et al.
Environment, Development & Sustainability. Aug2025, Vol. 27 Issue 8, p18409-18443. 35p.

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5

Forecasting carbon market volatility with big data.
Zhu, Bangzhu ; Wan, Chunzhuo ; Wang, Ping ; et al.
Annals of Operations Research. May2025, Vol. 348 Issue 1, p317-343. 27p.

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6

Unveiling the optimal factor model in Pakistan: a machine learning approach using support vector regression and extreme gradient boosting algorithms.
Ullah, Rizwan ; Jan, Muhammad Naveed ; Tahir, Muhammad
Future Business Journal. 6/11/2025, Vol. 11 Issue 1, p1-20. 20p.

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7

An Exploration of Deploying Predictive Analytics for Loan Default Using Ensemble Learning Techniques.
Prakash, Bhanu ; Ahmed, Ejaz ; Dutta, Rima
Journal of Operations & Strategic Planning. Dec2025, Vol. 8 Issue 2, p186-199. 14p.

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8

Performance Evaluation of Decision-Making Units Through Boosting Methods in the Context of Free Disposal Hull: Some Exact and Heuristic Algorithms.
Guillen, Maria D. ; Aparicio, Juan ; Esteve, Miriam
International Journal of Information Technology & Decision Making. Nov2025, Vol. 24 Issue 8, p2435-2464. 30p.

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9

Dynamic Grade Prediction in Programming Education Using Time-Series XGBoost and SHAP Analysis.
Qiu, Jing ; Shi, Chunmei
International Journal of Software Engineering & Knowledge Engineering. Dec2025, Vol. 35 Issue 12, p1763-1787. 25p.

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10

Health Misinformation Detection: Approaches, Challenges and Opportunities.
Feng, Xiaoye ; Luo, Jia ; Yang, Yang ; et al.
Inquiry (00469580). 11/4/2025, Vol. 62, p1-35. 35p.

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11

Comparison of sectorial and financial data for ESG scoring of mutual funds with machine learning.
Martin-Melero, Inigo ; Gomez-Martinez, Raul ; Medrano-Garcia, Maria Luisa ; et al.
Financial Innovation. 2/13/2025, Vol. 11 Issue 1, p1-31. 31p.

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12

An ensemble machine learning approach for forecasting credit risk of agricultural SMEs' investments in agriculture 4.0 through supply chain finance.
Belhadi, Amine ; Kamble, Sachin S. ; Mani, Venkatesh ; et al.
Annals of Operations Research. Feb2025, Vol. 345 Issue 2, p779-807. 29p.

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13

AI-Powered Mental Health Screening: Comparing Boosting Algorithms on PHQ-9
J, Sheril AngeL ; Andrushia, Diana ; Neebha, Mary ; et al.
2025 3rd International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI) Intelligent Cyber Physical Systems and Internet of Things (ICoICI), 2025 3rd International Conference on. :364-369 Sep, 2025

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14

Predictive Machine Learning Framework for Address Error Detection in Logistics System
Eroglu, Egemen ; Buyuktas, V. Azat ; Simsek, Berna ; et al.
2025 10th International Conference on Computer Science and Engineering (UBMK) Computer Science and Engineering (UBMK), 2025 10th International Conference on. :808-813 Sep, 2025

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15

Algorithm Comparison for Microplastic Classification: Evaluating Ensemble Models on Density and Measurement Features
Adi, Ahmad Cahyono ; Arneta, Dhea Citra ; Ramadani, M. Ilham
2025 1st International Conference on Artificial Intelligence Technology (ICoAIT) Artificial Intelligence Technology (ICoAIT), 2025 1st International Conference on. :198-203 Sep, 2025

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16

Ensemble Machine Learning Approaches for Crop Recommendation System Using Hybrid Feature Selection Techniques
Mondal, Sourav ; T, Viveka Nandini ; A, Rohini ; et al.
2025 International Conference on Artificial intelligence and Emerging Technologies (ICAIET) Artificial intelligence and Emerging Technologies (ICAIET), 2025 International Conference on. :1-6 Aug, 2025

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17

Advanced Machine Learning Techniques Revolutionize Credit Card Fraud Detection
A, Balamanikandan ; D, Jayakumar ; M, Dhanalakshmi ; et al.
2025 International Conference on Networks & Advances in Computational Technologies (NetACT) Networks & Advances in Computational Technologies (NetACT), 2025 International Conference on. :1-6 Aug, 2025

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18

Enhancing Financial Fraud Detection Accuracy Using an Improved Hybrid Random Forest Approach
Liu, Peng
2025 Third International Conference on Networks, Multimedia and Information Technology (NMITCON) Networks, Multimedia and Information Technology (NMITCON), 2025 Third International Conference on. :1-7 Aug, 2025

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19

Boosted Poisson regression trees: a guide to the BT package in R.
Willame, Gireg ; Trufin, Julien ; Denuit, Michel
Annals of Actuarial Science. Nov2024, Vol. 18 Issue 3, p605-625. 21p.

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20

Enhanced gradient boosting for zero-inflated insurance claims and comparative analysis of CatBoost, XGBoost, and LightGBM.
So, Banghee
Scandinavian Actuarial Journal. Dec2024, Vol. 2024 Issue 10, p1013-1035. 23p.

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