| 1 |
Optimizing fraud detection in financial transactions with machine learning and imbalance mitigation
Ezaz Aldahasi, Rama Khaled Alsheikh, Fakhri Alam Khan, Gwanggil Jeon
|
2024 |
66 |
7
|
| 2 |
Combinatorial Optimization-Enriched Machine Learning to Solve the Dynamic Vehicle Routing Problem with Time Windows
Léo Baty, Kai Jungel, Patrick S. Klein, Axel Parmentier, Maximilian Sc...
|
2024 |
69 |
6
|
| 3 |
Credit risk prediction based on causal machine learning: Bayesian network learning, default inference, and interpretation
Jiaming Liu, Xuemei Zhang, Haitao Xiong
|
2024 |
30 |
6
|
| 4 |
Ensemble-Based Machine Learning Algorithm for Loan Default Risk Prediction
Abisola Akinjole, Olamilekan Shobayo, Jumoke Popoola, Obinna Okoyeigbo...
|
2024 |
31 |
6
|
| 5 |
BloombergGPT: A Large Language Model for Finance
Shijie Wu, Ozan İrsoy, Steven Z. Lu, Vadim Dabravolski, Mark H. Dredze...
|
2023 |
289 |
6
|
| 6 |
A review of the applications of multi-agent reinforcement learning in smart factories
Fouad Bahrpeyma, Dirk Reichelt
|
2022 |
76 |
6
|
| 7 |
Search Personalization Using Machine Learning
Hema Yoganarasimhan
|
2020 |
167 |
6
|
| 8 |
Design of a large language model for improving customer service in telecom operators
Xiaoliang Ma, Zhao RuQiang, Liu Ying, Congjian Deng, DU De-quan
|
2024 |
24 |
5
|
| 9 |
A Multifrequency Data Fusion Deep Learning Model for Carbon Price Prediction
Canran Xiao, Yongmei Liu
|
2024 |
22 |
5
|
| 10 |
Improving Credit Risk Assessment through Deep Learning-based Consumer Loan Default Prediction Model
Muhammad Jumaa, Muhammad Saqib, Arif Attar
|
2023 |
14 |
5
|
| 11 |
Measuring the model risk-adjusted performance of machine learning algorithms in credit default prediction
Andrés Alonso-Robisco, José Manuel Carbó
|
2022 |
77 |
5
|
| 12 |
Financial Fraud Detection of Listed Companies in China: A Machine Learning Approach
Yasheng Chen, Zhuojun Wu
|
2022 |
54 |
5
|
| 13 |
Assessment of Support Vector Machine performance for default prediction and credit rating
Karim Amzile, Mohamed Habachi
|
2022 |
11 |
5
|
| 14 |
A machine learning approach for individual claims reserving in insurance
Maximilien Baudry, Christian Y. Robert
|
2019 |
60 |
5
|
| 15 |
Credit Card Default Prediction: An Empirical Analysis on Predictive Performance Using Statistical and Machine Learning Methods
Rakshith Bhandary, Bidyut Kumar Ghosh
|
2025 |
25 |
4
|
| 16 |
Financial Statement Fraud Detection Through an Integrated Machine Learning and Explainable AI Framework
Gunjargal Lkhagvadorj, Tsolmon Sodnomdavaa
|
2025 |
10 |
4
|
| 17 |
Fabric Defect Detection in Real World Manufacturing Using Deep Learning
M Quamer Nasim, Rafia Mumtaz, Muneer Ahmad, Arshad Ali
|
2024 |
53 |
4
|
| 18 |
Application of Advanced Deep Learning Models for Efficient Apple Defect Detection and Quality Grading in Agricultural Production
Xiaotong Gao, Songwei Li, Xiaotong Su, Yan Li, Lingyun Huang, Weidong...
|
2024 |
28 |
4
|
| 19 |
Machine learning techniques for default prediction: an application to small Italian companies
Flavio Bazzana, Marco Bee, Ahmed Almustfa Hussin Adam Khatir
|
2023 |
19 |
4
|
| 20 |
Deep Learning Combinatorial Models for Intelligent Supply Chain Demand Forecasting
Xiaoya Ma, Mengxiu Li, Jin Tong, Xiaying Feng
|
2023 |
21 |
4
|
| 21 |
A novel deep learning model based on convolutional neural networks for employee churn prediction
Ebru Pekel Özmen, Tuncay Özcan
|
2021 |
52 |
4
|
| 22 |
Comparing Performance of Machine Learning Algorithms for Default Risk Prediction in Peer to Peer Lending
Yanka Aleksandrova
|
2021 |
24 |
4
|
| 23 |
Potato Surface Defect Detection Based on Deep Transfer Learning
Chenglong Wang, Zhifeng Xiao
|
2021 |
51 |
4
|
| 24 |
Machine learning methods for short‐term bid forecasting in the renewable energy market: A case study in Italy
Guido Cocchi, Leonardo Galli, Giulio Galvan, Marco Sciandrone, Matteo...
|
2018 |
27 |
4
|
| 25 |
Forecasting Demand in Supply Chain Using Machine Learning Algorithms
Nicholas Ampazis
|
2015 |
21 |
4
|
| 26 |
Predicting Online Shopping Behavior: Using Machine Learning and Google Analytics to Classify User Engagement
Dimitris C. Gkikas, Prokopis K. Theodoridis
|
2024 |
18 |
3
|
| 27 |
Knowledge Discovery on Cryptocurrency Exchange Rate Prediction Using Machine Learning Pipelines
Zeinab Shahbazi, Yung-Cheol Byun
|
2022 |
34 |
3
|