Michael Färber

Artificial Intelligence · with Bartscherer · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it; #24,263 of 35,345 by trust here, #30,347 by citations
• Computer Networks and Communications — 5 citations into it

Whom Michael Färber trusts overall

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

1. Felix Naumann
2. Jie Tang
3. Amrapali Zaveri
4. Christian Bizer
5. Amjad Abu-Jbara
6. Jing Zhang
7. Sören Auer
8. Lutz Bornmann
9. Dragomir R. Radev

Who trusts Michael Färber overall

1. Alireza Salemi
2. Sheshera Mysore
3. Michael Bendersky

Papers from Michael Färber's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Attention is All you Need (Neural Information Processing Systems)
3. Long Short-Term Memory
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. DBpedia - A crystallization point for the Web of Data
6. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
7. ImageNet classification with deep convolutional neural networks
8. ImageNet: A large-scale hierarchical image database
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Gradient-based learning applied to document recognition

Their papers

• Citation recommendation: approaches and datasets (2020) — 116 citations
• Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO (2017) — 368 citations