19 Aug 20246cites
Synergy of Machine Learning and Blockchain Strategies for Transactional Fraud Detection in FinTech SystemsPublisher siteActive, last published 2026
In imbalanced data classification techniques
Abbassi
Hanae
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
bbassi Hanae 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
Abbassi's work has been cited 31 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×3Blockchain Technology Applications and Security×2Financial Distress and Bankruptcy Prediction×2FinTech, Crowdfunding, Digital Finance×2
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
3 works16 Dec 20235cites
Analysis of Banking Fraud Detection Methods through Machine Learning Strategies in the Era of Digital TransactionsPublisher site1 Jan 2023Open access20cites
End-to-End Real-time Architecture for Fraud Detection in Online Digital TransactionsPublisher siteInternational Journal of Advanced Computer Science and Applications, Imbalanced Data Classification Techniques
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