A machine learning approach for micro-credit scoring
In micro-lending markets, lack of recorded credit history is a significant impediment to
assessing individual borrowers' creditworthiness and therefore deciding fair interest rates …
assessing individual borrowers' creditworthiness and therefore deciding fair interest rates …
Comparative analysis of machine learning, hybrid, and deep learning forecasting models: evidence from European financial markets and bitcoins
A Ampountolas - Forecasting, 2023 - mdpi.com
This study analyzes the transmission of market uncertainty on key European financial
markets and the cryptocurrency market over an extended period, encompassing the pre …
markets and the cryptocurrency market over an extended period, encompassing the pre …
[PDF][PDF] A Machine Learning Approach for Micro-Credit Scoring. Risks 9: 50
A Ampountolas, TN Nde, P Date, C Constantinescu - 2021 - academia.edu
In micro-lending markets, lack of recorded credit history is a significant impediment to
assessing individual borrowers' creditworthiness and therefore deciding fair interest rates …
assessing individual borrowers' creditworthiness and therefore deciding fair interest rates …
Fast constrained person identity label propagation in stereo videos using a pruned similarity matrix
In this paper, a novel video data (more specifically facial images) fast labeling method, that
aims in the acceleration of a state of the art facial identity label propagation technique is …
aims in the acceleration of a state of the art facial identity label propagation technique is …