Noushath Shaffi

Brain Informatics · 2024

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Noushath Shaffi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Scott M. Lundberg
  2. David Budgen

Papers from Noushath Shaffi's perspective

Ordered by how strongly the researchers Noushath Shaffi trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Unified Approach to Interpreting Model Predictions
  2. Performing systematic literature reviews in software engineering (International Conference on Software Engineering)
  3. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews (British medical journal)
  4. Interpreting Black-Box Models: A Review on Explainable Artificial Intelligence (Cognitive Computation)
  5. The potential for artificial intelligence in healthcare (Future healthcare journal)
  6. Anchors: High-Precision Model-Agnostic Explanations
  7. Explanation in Artificial Intelligence: Insights from the Social Sciences
  8. Visualizing and Understanding Convolutional Networks
  9. A Survey of Methods for Explaining Black Box Models
  10. Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

Their papers