:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Preetham Reddy Kaukuntla
Format:	Recurso digital
Language:
Published:	Zenodo 2022
Online Access:	https://doi.org/10.5281/zenodo.14769929
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The AI Sentinel: Leveraging Machine Learning for Robust Health Insurance Fraud Detection
by: www.rasitdinc.com
Published: (2025)

A Machine Learning-based Anomaly Detection Framework in Life Insurance Contracts
by: Groll, Andreas, et al.
Published: (2024)

Machine Learning for Medical Billing Fraud and Insurance Risk Detection: Trends and Challenges in the US Healthcare System
by: Sharma, Dr. Bal Krishna
Published: (2025)

Exploring Unsupervised Anomaly Detection with Quantum Boltzmann Machines in Fraud Detection
by: Stein, Jonas, et al.
Published: (2023)

Leveraging Machine Learning for Early Detection of Lung Diseases
by: Rahmani, Bahareh, et al.
Published: (2025)

Blockchain‐Driven Solutions for Healthcare Insurance Fraud Detection and Prevention
by: Sunayana Das, et al.
Published: (2025)

Leveraging Learning Bias for Noisy Anomaly Detection
by: Zhang, Yuxin, et al.
Published: (2025)

Credit Card Fraud Detection: A Deep Learning Approach
by: Verma, Sourav, et al.
Published: (2024)

Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection
by: Zhu, Jiawen, et al.
Published: (2023)

Adaptive Fraud Detection in Online Transactions Using Machine Learning Techniques
by: VELIDI, SRIRAM CHOWDARY
Published: (2025)

Cybersecurity-Focused Anomaly Detection in Connected Autonomous Vehicles Using Machine Learning
by: Lebaku, Prathyush Kumar Reddy, et al.
Published: (2025)

Leukemia Detection using Quantum Machine Learning
by: Boya, Ravi Teja, et al.
Published: (2026)

An Attack Method for Medical Insurance Claim Fraud Detection based on Generative Adversarial Network
by: Pang, Yining, et al.
Published: (2025)

A Machine Learning Approach to Detecting Albedo Anomalies on the Lunar Surface
by: Strukova, Sofia, et al.
Published: (2024)

Continual Learning Approaches for Anomaly Detection
by: Pezze, Davide Dalle, et al.
Published: (2022)

AnoGAN for Tabular Data: A Novel Approach to Anomaly Detection
by: Singh, Aditya, et al.
Published: (2024)

Cardiovascular Disease Detection By Leveraging Semi-Supervised Learning
by: Chen, Shaohan, et al.
Published: (2024)

Leveraging Digital Twin and Machine Learning Techniques for Anomaly Detection in Power Electronics Dominated Grid
by: Idrisov, Ildar N., et al.
Published: (2025)

Quantum Learning Theory Beyond Batch Binary Classification
by: Mohan, Preetham, et al.
Published: (2023)

Machine Learning for Anomaly Detection in Particle Physics
by: Belis, Vasilis, et al.
Published: (2023)

Leveraging Unsupervised Learning for Cost-Effective Visual Anomaly Detection
by: Long, Yunbo, et al.
Published: (2024)

A Data Balancing and Ensemble Learning Approach for Credit Card Fraud Detection
by: Wang, Yuhan
Published: (2025)

Learning Feature Encoder with Synthetic Anomalies for Weakly Supervised Graph Anomaly Detection
by: Zhou, Yingjie, et al.
Published: (2026)

Comparative Performance Analysis of Quantum Machine Learning Architectures for Credit Card Fraud Detection
by: Alami, Mansour El, et al.
Published: (2024)

Advanced Fraud Detection System Real Time Fraud Detection Of Online Payment Frauds
by: Deepak KV, Bhuvan MM, Beerappa
Published: (2026)

Self-Supervised Learning for Anomaly Detection in Brain Mri Scans
by: FNU Sudhakar Abhijeet
Published: (2026)

Self-Supervised Learning for Detecting AI-Generated Faces as Anomalies
by: Zou, Mian, et al.
Published: (2025)

Multi-Normal Prototypes Learning for Weakly Supervised Anomaly Detection
by: Dong, Zhijin, et al.
Published: (2024)

Cross-Domain Learning for Video Anomaly Detection with Limited Supervision
by: Jain, Yashika, et al.
Published: (2024)

Learning Event Completeness for Weakly Supervised Video Anomaly Detection
by: Wang, Yu, et al.
Published: (2025)

Detecting Fraud in Financial Networks: A Semi-Supervised GNN Approach with Granger-Causal Explanations
by: Nguyen, Linh, et al.
Published: (2025)

Pattern Mining for Anomaly Detection in Graphs: Application to Fraud in Public Procurement
by: Potin, Lucas, et al.
Published: (2023)

Enhancing Security in Blockchain Networks: Anomalies, Frauds, and Advanced Detection Techniques
by: Osterrieder, Joerg, et al.
Published: (2024)

Optimizing Intrusion Detection for IoT: A Systematic Review of Machine Learning and Deep Learning Approaches With Feature Selection and Data Balancing
by: S. Kumar Reddy Mallidi, et al.
Published: (2025)

An Enhanced Focal Loss Function to Mitigate Class Imbalance in Auto Insurance Fraud Detection with Explainable AI
by: Boabang, Francis, et al.
Published: (2025)

Innovative Video Anomaly Detection: TCN ‐ AnoDetect With Self‐Supervised Feature Learning
by: V. Rahul Chiranjeevi, et al.
Published: (2024)

Comparative Study on Supervised versus Semi-supervised Machine Learning for Anomaly Detection of In-vehicle CAN Network
by: Dong, Yongqi, et al.
Published: (2022)

Enhancing Sensitivity for Di-Higgs Boson Searches Using Anomaly Detection and Supervised Machine Learning Techniques
by: Chekanov, Sergei V., et al.
Published: (2025)

Anomaly Detection in Network Traffic Using Machine Learning
by: Sharkhan, Aruzhan, et al.
Published: (2025)

Real-Time Machine Learning for Embedded Anomaly Detection
by: Benmachiche, Abdelmadjid, et al.
Published: (2025)