Dominik Kreuzberger

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 Dominik Kreuzberger trusts overall

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

1. Ulrike Schultze
2. Michael D. Myers
3. J. Webster
4. Itay Hubara
5. Barbara A. Kitchenham
6. M. Newman
7. Richard Thomas Watson
8. Michel Avital
9. Anselm Strauss
10. Matthieu Courbariaux

Papers from Dominik Kreuzberger's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
6. Systematic literature reviews in software engineering - A systematic literature review (Information and Software Technology)
7. The qualitative interview in IS research: Examining the craft (Information and organization)
8. Analyzing the Past to Prepare for the Future: Writing a Literature Review (MIS Q.)
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Machine Learning Operations (MLOps): Overview, Definition, and Architecture (2022) — 636 citations