Robust Explainability: A tutorial on gradient-based attribution methods for deep neural networks
2022 · IEEE Signal Processing Magazine · 102 citations
https://doi.org/10.1109/msp.2022.3142719
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Nidhal Bouaynaya
Rowan University(US)
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Nidhal Bouaynaya is an academic researcher from Rowan University. The author has contributed to research in topics: Adversarial Robustness in Machine Learning & Anomaly Detection Techniques and Applications & Gene Regulatory Network Analysis. The author has an h-index of 18, co-authored 134 publications.
ORCID: 0000-0002-8833-8414Papers by this author
worksExploring robust architectures for deep artificial neural networks
2022 · Communications Engineering · 15 citations
https://doi.org/10.1038/s44172-022-00043-2
Automatic Alignment of Fractured Femur: Integration of Robot and Optical Tracking System
2023 · IEEE Robotics and Automation Letters · 10 citations
https://doi.org/10.1109/lra.2023.3251198
SUPER-Net: Trustworthy image segmentation via uncertainty propagation in encoder-decoder networks
2025 · Pattern Recognition · 3 citations
https://doi.org/10.1016/j.patcog.2025.112503
Diagnosing growth in low-grade gliomas with and without artificial intelligence-measured longitudinal volume measurements: A retrospective observational study
2026 · Neuro-Oncology Advances · 0 citations
https://doi.org/10.1093/noajnl/vdaf271
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