| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
An ensemble machine learning approach for forecasting credit risk of agricultural SMEs’ investments in agriculture 4.0 through supply chain finance
|
Belhadi, Amine
|
|
|
345 |
2 |
p. 779-807
|
artikel
|
| 2 |
An optimized decomposition integration framework for carbon price prediction based on multi-factor two-stage feature dimension reduction
|
Xu, Wenjie
|
|
|
345 |
2 |
p. 1229-1266
|
artikel
|
| 3 |
BACS: blockchain and AutoML-based technology for efficient credit scoring classification
|
Yang, Fan
|
|
|
345 |
2 |
p. 703-723
|
artikel
|
| 4 |
Carbon price prediction for China's ETS pilots using variational mode decomposition and optimized extreme learning machine
|
Chai, Shanglei
|
|
|
345 |
2 |
p. 809-830
|
artikel
|
| 5 |
Deep Learning-Based Model for Financial Distress Prediction
|
Elhoseny, Mohamed
|
|
|
345 |
2 |
p. 885-907
|
artikel
|
| 6 |
Early warning system to predict energy prices: the role of artificial intelligence and machine learning
|
Alshater, Muneer M.
|
|
|
345 |
2 |
p. 1297-1333
|
artikel
|
| 7 |
Forecasting oil commodity spot price in a data-rich environment
|
Boubaker, Sabri
|
|
|
345 |
2 |
p. 685-702
|
artikel
|
| 8 |
High-dimensional nonlinear dependence and risk spillovers analysis between China’s carbon market and its major influence factors
|
Zhang, Shaobin
|
|
|
345 |
2 |
p. 831-860
|
artikel
|
| 9 |
Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research
|
Kumar, Satish
|
|
|
345 |
2 |
p. 1061-1104
|
artikel
|
| 10 |
Point and interval prediction of crude oil futures prices based on chaos theory and multiobjective slime mold algorithm
|
Sun, Weixin
|
|
|
345 |
2 |
p. 1003-1033
|
artikel
|
| 11 |
Testing the moderating role of trade openness on the environmental Kuznets curve hypothesis: a novel approach
|
Sharif, Taimur
|
|
|
345 |
2 |
p. 597-635
|
artikel
|
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