Artur Andrzejak

Information Systems · 2002–2019

A researcher in the Science corpus: 3 papers; trusts 56 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 19 citations into it; #3,087 of 8,771 by trust here, #6,770 by citations
• Artificial Intelligence — 16 citations into it; #15,924 of 35,345 by trust here, #28,481 by citations
• Computer Networks and Communications — 10 citations into it
• Signal Processing — 10 citations into it
• Software — 9 citations into it
• Natural Language Processing — 8 citations into it
• Program Analysis & Verification — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Artur Andrzejak trusts overall

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

1. Sepp Hochreiter
2. Pedro M. Domingos
3. Geoffrey E. Hinton
4. Tomas Mikolov
5. Sylvia Ratnasamy
6. Yoshua Bengio
7. L. V. D. van der Maaten
8. Hans Peter Graf
9. L. Eon Bottou
10. J. Urgen Schmidhuber

Who trusts Artur Andrzejak overall

1. Gilles Vandewiele
2. Giulia Vilone
3. Nadia Burkart
4. Olivier Janssens
5. Longo Luca
6. Marco F. Huber
7. Femke Ongenae
8. John Risson
9. Kiani Lannoye
10. Adrien Bibal

Papers from Artur Andrzejak's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)

Their papers

• Learning-Based Recursive Aggregation of Abstract Syntax Trees for Code Clone Detection (2019) — 98 citations
• Interpretable models from distributed data via merging of decision trees (2013) — 38 citations
• Scalable, efficient range queries for grid information services (2002) — 337 citations