16 Oct 2025
A Conceptual Real-Time and Privacy-Preserving Architecture for Banking Fraud DetectionPublisher siteActive, last published 2026
In imbalanced data classification techniques
Hanae
Abbassi
Scholar“Research focused on Imbalanced Data Classification Techniques and adjacent fields.”
Ibn Tofail University
Morocco
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01 · About the work
What I study
anae Abbassi is a researcher working on Imbalanced Data Classification Techniques. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Hanae's work has been cited 56 times across 2 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Imbalanced Data Classification Techniques×8Blockchain Technology Applications and Security×4Neural Networks and Applications×3Advanced Control Systems Optimization×3Anomaly Detection Techniques and Applications×3
04 · Where I am
Affiliations
Affiliation on published researchUniversité Ibn-Tofail, MoroccoDrawn from the institution listed on this researcher’s published work.
Research themes (UN SDGs)
05 · Selected work
Recent publications
7 works9 Jul 2025Open access9cites
Adaptive, Privacy-Enhanced Real-Time Fraud Detection in Banking Networks Through Federated Learning and VAE-QLSTM FusionPublisher siteBig Data and Cognitive Computing, Imbalanced Data Classification Techniques
15 May 2025
Harnessing Data-Driven Approaches for Robust Real-Time Fraud Prevention and DetectionPublisher site1 Jan 20251cites
Leveraging Federated Learning for Detecting Fraud in Banking SystemsPublisher siteLecture notes in networks and systems, Blockchain Technology Applications and Security
17 Oct 20242cites
Enhanced Banking Security: Isolation Forest with Attention Mechanism for Sophisticated Fraud DetectionPublisher site9 May 2024Open access5cites
Digital banking fortification: a real-time isolation forest architecture for detecting online transaction fraudPublisher siteEngineering Research Express, Imbalanced Data Classification Techniques
1 Mar 2024Open access14cites
Real-Time Online Banking Fraud Detection Model by Unsupervised Learning FusionPublisher siteHighTech and Innovation Journal, Imbalanced Data Classification Techniques
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