Evaluating Supervised Learning Models for Fraud Detection: A Comparative Study of Classical and Deep Architectures on Imbalanced Transaction Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Wang, Chao, Nie, Chuanhao, Liu, Yunbo |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Year-over-Year Developments in Financial Fraud Detection via Deep Learning: A Systematic Literature Review
por: Chen, Yisong, et al.
Publicado: (2025)
por: Chen, Yisong, et al.
Publicado: (2025)
Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data
por: Zhu, Mengran, et al.
Publicado: (2024)
por: Zhu, Mengran, et al.
Publicado: (2024)
Temporal-Aware Graph Attention Network for Cryptocurrency Transaction Fraud Detection
por: Zheng, Zhi, et al.
Publicado: (2025)
por: Zheng, Zhi, et al.
Publicado: (2025)
AI Application in Anti-Money Laundering for Sustainable and Transparent Financial Systems
por: Nie, Chuanhao, et al.
Publicado: (2025)
por: Nie, Chuanhao, et al.
Publicado: (2025)
Robust Anomaly Detection in Network Traffic: Evaluating Machine Learning Models on CICIDS2017
por: Xu, Zhaoyang, et al.
Publicado: (2025)
por: Xu, Zhaoyang, et al.
Publicado: (2025)
Multimodal Deep Generative Model for Semi-Supervised Learning under Class Imbalance
por: Yoon, Heegeon, et al.
Publicado: (2026)
por: Yoon, Heegeon, et al.
Publicado: (2026)
CleverCatch: A Knowledge-Guided Weak Supervision Model for Fraud Detection
por: Mozafari, Amirhossein, et al.
Publicado: (2025)
por: Mozafari, Amirhossein, et al.
Publicado: (2025)
A Comprehensive Study of Supervised Machine Learning Models for Zero-Day Attack Detection: Analyzing Performance on Imbalanced Data
por: Lotfi, Zahra, et al.
Publicado: (2025)
por: Lotfi, Zahra, et al.
Publicado: (2025)
Comprehensive Analysis of VQC for Financial Fraud Detection: A Comparative Study of Quantum Encoding Techniques and Architectural Optimizations
por: Abbou, Fouad Mohammed, et al.
Publicado: (2025)
por: Abbou, Fouad Mohammed, et al.
Publicado: (2025)
A Generative Deep Learning Approach for Crash Severity Modeling with Imbalanced Data
por: Chen, Junlan, et al.
Publicado: (2024)
por: Chen, Junlan, et al.
Publicado: (2024)
Synthetic Tabular Data Generation for Class Imbalance and Fairness: A Comparative Study
por: Panagiotou, Emmanouil, et al.
Publicado: (2024)
por: Panagiotou, Emmanouil, et al.
Publicado: (2024)
Comprehensive Modeling Approaches for Forecasting Bitcoin Transaction Fees: A Comparative Study
por: Ma, Jiangqin, et al.
Publicado: (2025)
por: Ma, Jiangqin, et al.
Publicado: (2025)
Downstream Task-Oriented Generative Model Selections on Synthetic Data Training for Fraud Detection Models
por: Cheng, Yinan, et al.
Publicado: (2024)
por: Cheng, Yinan, et al.
Publicado: (2024)
Secure Energy Transactions Using Blockchain Leveraging AI for Fraud Detection and Energy Market Stability
por: Khan, Md Asif Ul Hoq, et al.
Publicado: (2025)
por: Khan, Md Asif Ul Hoq, et al.
Publicado: (2025)
A Study on Semi-Supervised Detection of DDoS Attacks under Class Imbalance
por: Hallaji, Ehsan, et al.
Publicado: (2025)
por: Hallaji, Ehsan, et al.
Publicado: (2025)
Early GVHD Prediction in Liver Transplantation via Multi-Modal Deep Learning on Imbalanced EHR Data
por: Jiang, Yushan, et al.
Publicado: (2025)
por: Jiang, Yushan, et al.
Publicado: (2025)
Temporal Imbalance of Positive and Negative Supervision in Class-Incremental Learning
por: Ma, Jinge, et al.
Publicado: (2026)
por: Ma, Jinge, et al.
Publicado: (2026)
Credit Card Fraud Detection
por: Popova, Iva, et al.
Publicado: (2025)
por: Popova, Iva, et al.
Publicado: (2025)
Tailored Architectures for Time Series Forecasting: Evaluating Deep Learning Models on Gaussian Process-Generated Data
por: Hankemeier, Victoria, et al.
Publicado: (2025)
por: Hankemeier, Victoria, et al.
Publicado: (2025)
Prototype-based Heterogeneous Federated Learning for Blade Icing Detection in Wind Turbines with Class Imbalanced Data
por: Qi, Lele, et al.
Publicado: (2025)
por: Qi, Lele, et al.
Publicado: (2025)
ML-Driven Approaches to Combat Medicare Fraud: Advances in Class Imbalance Solutions, Feature Engineering, Adaptive Learning, and Business Impact
por: Farahmandazad, Dorsa, et al.
Publicado: (2025)
por: Farahmandazad, Dorsa, et al.
Publicado: (2025)
Assessing the Feasibility of Early Cancer Detection Using Routine Laboratory Data: An Evaluation of Machine Learning Approaches on an Imbalanced Dataset
por: Li, Shumin
Publicado: (2025)
por: Li, Shumin
Publicado: (2025)
RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection
por: Li, Haolin, et al.
Publicado: (2024)
por: Li, Haolin, et al.
Publicado: (2024)
TRAVELFRAUDBENCH: A Configurable Evaluation Framework for GNN Fraud Ring Detection in Travel Networks
por: Sajja, Bhavana
Publicado: (2026)
por: Sajja, Bhavana
Publicado: (2026)
SETransformer: A Hybrid Attention-Based Architecture for Robust Human Activity Recognition
por: Liu, Yunbo, et al.
Publicado: (2025)
por: Liu, Yunbo, et al.
Publicado: (2025)
Credit Card Fraud Detection Using Advanced Transformer Model
por: Yu, Chang, et al.
Publicado: (2024)
por: Yu, Chang, et al.
Publicado: (2024)
Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network
por: Dong, Yongqi, et al.
Publicado: (2022)
por: Dong, Yongqi, et al.
Publicado: (2022)
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning
por: Choi, Won-Seok, et al.
Publicado: (2024)
por: Choi, Won-Seok, et al.
Publicado: (2024)
Renewable Energy Prediction: A Comparative Study of Deep Learning Models for Complex Dataset Analysis
por: Wang, Haibo, et al.
Publicado: (2025)
por: Wang, Haibo, et al.
Publicado: (2025)
Comparative Analysis of Deep Learning Models for Crop Disease Detection: A Transfer Learning Approach
por: Subramaniam, Saundarya, et al.
Publicado: (2025)
por: Subramaniam, Saundarya, et al.
Publicado: (2025)
Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection
por: Liu, Huafeng, et al.
Publicado: (2024)
por: Liu, Huafeng, et al.
Publicado: (2024)
SEMRes-DDPM: Residual Network Based Diffusion Modelling Applied to Imbalanced Data
por: Zheng, Ming, et al.
Publicado: (2024)
por: Zheng, Ming, et al.
Publicado: (2024)
Fraud Detection Through Large-Scale Graph Clustering with Heterogeneous Link Transformation
por: Liu, Chi
Publicado: (2025)
por: Liu, Chi
Publicado: (2025)
Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets
por: Wasswa, Hassan, et al.
Publicado: (2025)
por: Wasswa, Hassan, et al.
Publicado: (2025)
Hybrid GCN-GRU Model for Anomaly Detection in Cryptocurrency Transactions
por: Na, Gyuyeon, et al.
Publicado: (2025)
por: Na, Gyuyeon, et al.
Publicado: (2025)
Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition
por: Wang, Zichen, et al.
Publicado: (2025)
por: Wang, Zichen, et al.
Publicado: (2025)
A Comparative Benchmark of Federated Learning Strategies for Mortality Prediction on Heterogeneous and Imbalanced Clinical Data
por: Tertulino, Rodrigo
Publicado: (2025)
por: Tertulino, Rodrigo
Publicado: (2025)
Data-Free Generative Replay for Class-Incremental Learning on Imbalanced Data
por: Younis, Sohaib, et al.
Publicado: (2024)
por: Younis, Sohaib, et al.
Publicado: (2024)
An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning
por: Chen, Hao, et al.
Publicado: (2022)
por: Chen, Hao, et al.
Publicado: (2022)
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning
por: Wang, Zitong, et al.
Publicado: (2024)
por: Wang, Zitong, et al.
Publicado: (2024)
Ejemplares similares
-
Year-over-Year Developments in Financial Fraud Detection via Deep Learning: A Systematic Literature Review
por: Chen, Yisong, et al.
Publicado: (2025) -
Utilizing GANs for Fraud Detection: Model Training with Synthetic Transaction Data
por: Zhu, Mengran, et al.
Publicado: (2024) -
Temporal-Aware Graph Attention Network for Cryptocurrency Transaction Fraud Detection
por: Zheng, Zhi, et al.
Publicado: (2025) -
AI Application in Anti-Money Laundering for Sustainable and Transparent Financial Systems
por: Nie, Chuanhao, et al.
Publicado: (2025) -
Robust Anomaly Detection in Network Traffic: Evaluating Machine Learning Models on CICIDS2017
por: Xu, Zhaoyang, et al.
Publicado: (2025)