Justus Bogner

Information Systems · 2021

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

Subfields

Whom Justus Bogner trusts overall

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

  1. Claes Wohlin
  2. P. Koopman
  3. Martin Ivarsson
  4. Rick Salay

Papers from Justus Bogner's perspective

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

  1. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
  2. Hidden Technical Debt in Machine Learning Systems
  3. Concrete Problems in AI Safety
  4. TFX: A TensorFlow-Based Production-Scale Machine Learning Platform
  5. Systematic Mapping Studies in Software Engineering (International Conference on Evaluation & Assessment in Software Engineering)
  6. Safety Verification of Deep Neural Networks
  7. Challenges in Autonomous Vehicle Testing and Validation
  8. Principles of Explanatory Debugging to Personalize Interactive Machine Learning
  9. Lessons from applying the systematic literature review process within the software engineering domain (Journal of Systems and Software)
  10. Guidelines for snowballing in systematic literature studies and a replication in software engineering

Their papers