Ahmed M. Salih

16 papers B 2Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Perspective on Explainable Artificial Intelligence Methods: SHAP and LIME.
Adv. Intell. Syst.
Ahmed M. Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo, Petia Radeva, Steffen E. Petersen, Karim Lekadir, Gloria Menegaz
2025 J jnl
Re-Visiting Explainable AI Evaluation Metrics to Identify The Most Informative Features.
CoRR
Ahmed M. Salih
2025 J jnl
The Marriage of Neurotechnologies and Artificial Intelligence: Ethical, regulatory, and technological aspects.
IEEE Signal Process. Mag.
Carlo Chiurco, Andrea Favaro, Silvia Francesca Storti, Lorenza Brusini, Ahmed M. Salih, Ilaria Boscolo Galazzo, Sergey M. Plis, Gloria Menegaz
2024 J jnl
A review of evaluation approaches for explainable AI with applications in cardiology.
Artif. Intell. Rev.
Ahmed M. Salih, Ilaria Boscolo Galazzo, Polyxeni Gkontra, Elisa Rauseo, Aaron M. Lee, Karim Lekadir, Petia Radeva, Steffen E. Petersen, Gloria Menegaz
2024 J jnl
Are Linear Regression Models White Box and Interpretable?
CoRR
Ahmed M. Salih, Yuhe Wang
2024 J jnl
Characterizing the Contribution of Dependent Features in XAI Methods.
IEEE J. Biomed. Health Informatics
Ahmed M. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Gloria Menegaz, Petia Radeva
2024 J jnl
Common Steps in Machine Learning Might Hinder The Explainability Aims in Medicine.
CoRR
Ahmed M. Salih
2024 J jnl
Explainable Artificial Intelligence and Multicollinearity : A Mini Review of Current Approaches.
CoRR
Ahmed M. Salih
2024 — conf
Explainable Artificial Intelligence for Dependent Features: Additive Effects of Collinearity.
ICAAI
Ahmed M. Salih
2024 J jnl
Explainable Artificial Intelligence for Dependent Features: Additive Effects of Collinearity.
CoRR
Ahmed M. Salih
2023 J jnl
Characterizing the contribution of dependent features in XAI methods.
CoRR
Ahmed M. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Gloria Menegaz, Petia Radeva
2023 J jnl
Commentary on explainable artificial intelligence methods: SHAP and LIME.
CoRR
Ahmed M. Salih, Zahra Raisi-Estabragh, Ilaria Boscolo Galazzo, Petia Radeva, Steffen E. Petersen, Gloria Menegaz, Karim Lekadir
2022 J jnl
Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges.
IEEE Signal Process. Mag.
Ilaria Boscolo Galazzo, Federica Cruciani, Lorenza Brusini, Ahmed M. Salih, Petia Radeva, Silvia Francesca Storti, Gloria Menegaz
2022 B conf
Investigating Explainable Artificial Intelligence for MRI-based Classification of Dementia: a New Stability Criterion for Explainable Methods.
ICIP
Ahmed M. Salih, Ilaria Boscolo Galazzo, Federica Cruciani, Lorenza Brusini, Petia Radeva
2021 B conf
A new scheme for the assessment of the robustness of Explainable Methods Applied to Brain Age estimation.
CBMS
Ahmed M. Salih, Ilaria Boscolo Galazzo, Zahra Raisi-Estabragh, Steffen E. Petersen, Polyxeni Gkontra, Karim Lekadir, Gloria Menegaz, Petia Radeva
2020 — conf
Microstructural Modulations in the Hippocampus Allow to Characterizing Relapsing-Remitting Versus Primary Progressive Multiple Sclerosis.
BrainLes@MICCAI (1)
Lorenza Brusini, Ilaria Boscolo Galazzo, Muge Akinci, Federica Cruciani, Marco Pitteri, Stefano Ziccardi, Albulena Bajrami, Marco Castellaro, Ahmed M. Salih, Francesca B. Pizzini, Jorge Jovicich, Massimiliano Calabrese, Gloria Menegaz