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Unlocking the Potential of XAI for Improved Alzheimer's Disease Detection and Classification Using a ViT-GRU Model.

, , , , , , , , , , and . IEEE Access, (2024)

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Unlocking the Potential of XAI for Improved Alzheimer's Disease Detection and Classification Using a ViT-GRU Model., , , , , , , , , and 1 other author(s). IEEE Access, (2024)Brain-DeepNet: A Deep Learning Based Classifier for Brain Tumor Detection and Classification., , , , , and . ICO, page 550-560. (2022)Accepted or Abandoned? Predicting the Fate of Code Changes., , , and . CoRR, (2019)Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions - A Systematic Review., , , , , , , , , and . CoRR, (2024)Automatic Human Brain Tumor Detection in MRI Image Using Template-Based K Means and Improved Fuzzy C Means Clustering Algorithm., , , , , , , and . Big Data Cogn. Comput., 3 (2): 27 (2019)Wheat Production Forecasting in Bangladesh Using Deep Learning Techniques., , and . ICCCNT, page 1-7. IEEE, (2022)MVAM: Multi-variant Attacks on Memory for IoT Trust Computing., , and . CoRR, (2023)Interpreting County-Level COVID-19 Infections using Transformer and Deep Learning Time Series Models., , , , , and . ICDH, page 266-277. IEEE, (2023)Transfer Learning-Assisted DementiaNet: A Four Layer Deep CNN for Accurate Alzheimer's Disease Detection from MRI Images., , , , , , and . BI, volume 13974 of Lecture Notes in Computer Science, page 383-394. Springer, (2023)Network Anomaly Detection Using LightGBM: A Gradient Boosting Classifier., , , and . ITNAC, page 1-7. IEEE, (2020)