IEEE/ICACT20250023 Slide.06        [Big Slide]       [YouTube] Oral Presentation
Existing research shows that machine learning and deep learning approaches complement each other in Android log anomaly detection. Machine learning models are often faster and require less data. Deep learning models can exploit complex structures but require extensive training and large datasets. Despite advancements, challenges remain in feature selection, class balancing, and interpretability of results.

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