Niklas Kühl
Information Systems · 2022
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 6 citations into it
Whom Niklas Kühl trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Niklas Kühl's perspective
Ordered by how strongly the researchers Niklas Kühl trusts endorse each paper. Same corpus, a different order for every researcher.
- Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
- The qualitative interview in IS research: Examining the craft (Information and organization)
- Analyzing the Past to Prepare for the Future: Writing a Literature Review (MIS Q.)
- Systematic literature reviews in software engineering - A systematic literature review (Information and Software Technology)
- Grounded theory research: Procedures, canons, and evaluative criteria
- A Survey of DevOps Concepts and Challenges (ACM Computing Surveys)
- Designing interviews to generate rich data for information systems research (Information and organization)
- Will You Accept an Imperfect AI?: Exploring Designs for Adjusting End-user Expectations of AI Systems
- Manifesto for Agile Software Development
- ImageNet classification with deep convolutional neural networks
Their papers
- Machine Learning Operations (MLOps): Overview, Definition, and Architecture (2022) — 636 citations