An explainable machine learning framework that integrates clinical and imaging data for early detection of brain tumors is proposed and supports the feasibility of trustworthy AI-assisted diagnostics in neuro-oncology, particularly for resource-constrained settings.
Mehran Ali, Zia Ullah, M. Ullah et al.· Journal of Engineering and C...· 0 citations
The results demonstrate the potential of adaptive reward weighting to provide a systematic mechanism for controlling the exploration–imitation trade-off and enhancing the stability and robustness of GAIL-based policy learning while retaining the exploration advantages of the TD3-SAC hybrid framework.
Mehran Ali, Zia Ullah, Aliza Ashfaq· Journal of Engineering and C...· 0 citations
This work introduced Dynamic Cognitive Prior Generation (DCPG), a new framework, which can be learned and is prototype based to adaptively generate priors instead of heuristic augmentations, and can be used to significantly increase the accuracy of inter-subject retrieval on the THINGS-EEG dataset with an accuracy impr...
Mehran Ali· Journal of Engineering and C...· 0 citations
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