Konstantin Ziegler

Artificial Intelligence · 2018

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Information Systems — 10 citations into it
• Model Architectures — 8 citations into it
• Natural Language Processing — 8 citations into it
• Optimization & Training — 5 citations into it

Whom Konstantin Ziegler trusts overall

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

1. Paul J. Werbos
2. Jeffrey L. Elman
3. Thomas G. Dietterich

Papers from Konstantin Ziegler's perspective

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

1. Long Short-Term Memory
2. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
3. On the difficulty of training recurrent neural networks
4. Scikit-learn: Machine Learning in Python
5. Finding Structure in Time
6. Generalization of backpropagation with application to a recurrent gas market model
7. SMOTE: Synthetic Minority Over-sampling Technique
8. Gradient-based learning applied to document recognition
9. ImageNet classification with deep convolutional neural networks
10. Empirical Evaluation and Combination of Advanced Language Modeling Techniques

Their papers

• Sequence classification for credit-card fraud detection (2018) — 465 citations