Ngā tūemi rite

• Unveiling Black-boxes: Explainable Deep Learning Models for Patent Classification
  mā: Shajalal, Md, me ētahi atu.
  I whakaputaina: (2023)
• Textual Entailment Recognition with Semantic Features from Empirical Text Representation
  mā: Shajalal, Md, me ētahi atu.
  I whakaputaina: (2022)
• Arabic Sentiment Analysis with Noisy Deep Explainable Model
  mā: Atabuzzaman, Md., me ētahi atu.
  I whakaputaina: (2023)
• What Matters in Explanations: Towards Explainable Fake Review Detection Focusing on Transformers
  mā: Shajalal, Md, me ētahi atu.
  I whakaputaina: (2024)
• The Dependency Divide: An Interpretable Machine Learning Framework for Profiling Student Digital Satisfaction in the Bangladesh Context
  mā: Fahim, Md Muhtasim Munif, me ētahi atu.
  I whakaputaina: (2026)