Johannes Grabmeier

Data mining and knowledge discovery · 2002

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

Whom Johannes Grabmeier trusts overall

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

1. Eric R. Ziegel
2. Anil K. Jain
3. Honghua (Kathy) Dai
4. Rayadurgam Srikant

Who trusts Johannes Grabmeier overall

1. Ramiz M. Aliguliyev

Papers from Johannes Grabmeier's perspective

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

1. Algorithms for Clustering Data
2. Neural Networks for Pattern Recognition
3. Advances in Knowledge Discovery and Data Mining
4. Applied Multivariate Data Analysis (Technometrics)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Distilling the Knowledge in a Neural Network (arXiv.org)
7. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
8. Reinforcement Learning: An Introduction
9. Speech recognition with deep recurrent neural networks
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Techniques of Cluster Algorithms in Data Mining (2002) — 301 citations