1 Jan 2026
AI in Healthcare: Opportunities and ChallengesPublisher siteAdvances in Science, Technology & Innovation/Advances in science, technology & innovation, Artificial Intelligence in Healthcare and Education
Active, last published 2026
In adversarial robustness in machine learning
Ismail
Chahid
Scholar“Research focused on Adversarial Robustness in Machine Learning and adjacent fields.”
Mohamed I University
Morocco
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01 · About the work
What I study
smail Chahid is a researcher working on Adversarial Robustness in Machine Learning. A fuller summary will appear once they update their profile.
02 · Reach
Publication output and reach
Ismail's work has been cited 19 times across 3 active years. Bars show publications per year; the line shows cumulative citation totals across publications first appearing in each year.
03 · Research focus
Topics
Adversarial Robustness in Machine Learning×4Machine Learning in Healthcare×4Artificial Intelligence in Healthcare and Education×3Artificial Intelligence in Healthcare×2Anomaly Detection Techniques and Applications×2
04 · Where I am
Affiliations
Affiliation on published researchMohamed I University, MoroccoDrawn from the institution listed on this researcher’s published work.
05 · Selected work
Recent publications
6 works1 Jan 2026Open access
An AI-Powered Approach for Medical Specialty Triage Using Natural Language Processing and Transformer ModelsPublisher siteInternational Journal of Advanced Computer Science and Applications, Emergency and Acute Care Studies
12 Nov 2025Open access
A Proactive Defense Framework for Federated Learning Unifying Post-Quantum Security and Byzantine ResiliencePublisher site4 Nov 2025Open access
Medical Specialty Classification: An Interactive Application with Iterative Improvement for Patient TriagePublisher site1 Oct 2025Open access
A Hybrid Ensemble Approach for Robust Detection of Adversarial Attacks on Medical X-ray ImagesPublisher siteResearch Square, Anomaly Detection Techniques and Applications
22 Nov 2023Open access19cites
Data Preprocessing For Machine Learning Applications in Healthcare: A ReviewPublisher siteExpert Academic Profiles go further
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