Johannes Kinder

Signal Processing · 2018

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 18 citations into it
• Computer Networks and Communications — 13 citations into it
• Information Systems — 7 citations into it

Whom Johannes Kinder trusts overall

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

1. Radford M. Neal

Papers from Johannes Kinder's perspective

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

1. Scikit-learn: Machine Learning in Python
2. Deep Learning
3. DREBIN: Effective and Explainable Detection of Android Malware in Your Pocket
4. Pattern Recognition and Machine Learning
5. Outside the Closed World: On Using Machine Learning for Network Intrusion Detection
6. Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
7. Structural detection of android malware using embedded call graphs
8. Unbiased look at dataset bias
9. Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning (Pattern Recognition)
10. Forschungsberichte der Fakultät IV – Elektrotechnik und Informatik C UJO : Efficient Detection and Prevention of Drive-by-Download Attacks

Their papers

• TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (2018) — 474 citations