Andreas Fischer

Artificial Intelligence · with Bunke · 2011–2019

A researcher in the Science corpus: 6 papers; trusts 25 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 44 citations into it; #27,102 of 35,345 by trust here, #24,417 by citations
• Computer Vision and Pattern Recognition — 39 citations into it; #16,600 of 21,575 by trust here, #15,955 by citations
• Natural Language Processing — 15 citations into it
• Model Architectures — 14 citations into it
• Media Technology — 8 citations into it
• Large Language Models — 7 citations into it

Whom Andreas Fischer trusts overall

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

1. Toni M. Rath
2. Lawrence R. Rabiner
3. Raghavan Manmatha
4. Alessandro Vinciarelli
5. Urs-Viktor Marti
6. Horst Bunke
7. Alex Graves
8. Holger Schwenk
9. Kaspar Riesen
10. Kaiming He

Who trusts Andreas Fischer overall

1. J. Urgen Schmidhuber
2. Yunsheng Bai
3. Haoyang Ding

Papers from Andreas Fischer's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. ImageNet: A large-scale hierarchical image database
5. Going deeper with convolutions
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Microsoft COCO: Common Objects in Context

Their papers

• Keyword Spotting in Online Handwritten Documents Containing Text and Non-text Using BLSTM Neural Networks (2011) — 11 citations
• Neural network language models for off-line handwriting recognition (2014) — 79 citations
• A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis (2019) — 57 citations
• Approximation of graph edit distance based on Hausdorff matching (2015) — 136 citations
• Long-short term memory neural networks language modeling for handwriting recognition (2012) — 28 citations
• Lexicon-free handwritten word spotting using character HMMs (2012) — 312 citations