2 Aug 2026
Optimizing Financial Sentiment Analysis Through Accurate and Lightweight Transformer ModelsPublisher siteLecture notes in networks and systems
Active, last published 2026
In imbalanced data classification techniques
Hayat
Sahlaoui
Scholar“Research focused on Imbalanced Data Classification Techniques and adjacent fields.”
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01 · About the work
What I study
ayat Sahlaoui 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
Hayat's work has been cited 155 times across 4 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×7Online Learning and Analytics×5Explainable Artificial Intelligence (XAI)×5Financial Distress and Bankruptcy Prediction×4Stock Market Forecasting Methods×3
04 · Where I am
Affiliations
Affiliation on published researchUniversité Moulay Ismail de Meknes, MoroccoDrawn from the institution listed on this researcher’s published work.
05 · Selected work
Recent publications
10 works23 Jan 2026
DE-SHAP: A meta-optimization framework leveraging differential evolution for efficient and scalable kernel SHAP explanationsPublisher siteInformation Sciences, Explainable Artificial Intelligence (XAI)
1 Jan 2026
Leveraging Swarm Intelligence to Optimize Feature Selection in Credit Card Fraud DetectionPublisher siteAdvances in Science, Technology & Innovation/Advances in science, technology & innovation, Imbalanced Data Classification Techniques
1 Jan 2026
A Probabilistic Approach to Fraud Prediction Using Bayesian Neural NetworkPublisher siteAdvances in Science, Technology & Innovation/Advances in science, technology & innovation, Imbalanced Data Classification Techniques
1 Jan 2026
A Deep Learning Approach to Bank Term Deposit Prediction Using Teacher-Student Feature Selection and Stacked ModelsPublisher siteAdvances in Science, Technology & Innovation/Advances in science, technology & innovation, Financial Distress and Bankruptcy Prediction
1 Jan 2026
Bank Term Deposit Subscriptions Prediction: An eXplainable AI (XAI) Framework Using InterpretMLPublisher siteAdvances in Science, Technology & Innovation/Advances in science, technology & innovation, Stock Market Forecasting Methods
1 Jan 2026
Tree-Based XAI for an Efficient and Transparent Model in Predicting Bank Term Deposit SubscriptionsPublisher siteAdvances in Science, Technology & Innovation/Advances in science, technology & innovation, Stock Market Forecasting Methods
1 Jan 20251cites
Machine Learning for Detecting Fake Accounts in OSNs: A ReviewPublisher siteLecture notes in networks and systems, Spam and Phishing Detection
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