Stefan Feuerriegel
Artificial Intelligence · 2014–2024
A researcher in the Science corpus: 11 papers; trusts 213 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 136 citations into it; #20,327 of 35,345 by trust here, #16,471 by citations
- Natural Language Processing — 62 citations into it; #4,231 of 5,688 by trust here, #3,977 by citations
- Management Science and Operations Research — 54 citations into it; #3,049 of 11,946 by trust here, #3,705 by citations
- Finance — 52 citations into it; #3,556 of 10,518 by trust here, #5,165 by citations
- Statistics and Probability — 41 citations into it
- Economics and Econometrics — 40 citations into it
- Computer Vision and Pattern Recognition — 30 citations into it; #19,597 of 21,575 by trust here, #14,151 by citations
- Information Systems — 27 citations into it; #7,577 of 8,771 by trust here, #4,188 by citations
Whom Stefan Feuerriegel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Richard S. Sutton
- Diederik P. Kingma
- Ilya Sutskever
- Yann LeCun
- Christopher D. Manning
- Charu C. Aggarwal
- L. Takeuchi
- Robert P. Schumaker
Who trusts Stefan Feuerriegel overall
- Mathias Kraus
- Longbing Cao
- Dogu Araci
- Bernhard Kratzwald
- A. Ozbayoglu
- Leonardo dos Santos Pinheiro
- Peng Qi
- Xiaoman Pan
- Fengbin Zhu
- M. Ugur Gudelek
Papers from Stefan Feuerriegel's perspective
Ordered by how strongly the researchers Stefan Feuerriegel trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Adaptive Document Retrieval for Deep Question Answering (2018) — 56 citations
- Learning from On-Line User Feedback in Neural Question Answering on the Web (2019) — 21 citations
- Decision support from financial disclosures with deep neural networks and transfer learning (2017) — 299 citations
- Improving Decision Analytics with Deep Learning: the Case of Financial Disclosures (2015) — 45 citations
- Negation scope detection in sentiment analysis: Decision support for news-driven trading (2016) — 55 citations
- Deep learning in business analytics and operations research: Models, applications and managerial implications (2018) — 329 citations
- News-based trading strategies (2016) — 82 citations
- Causal machine learning for predicting treatment outcomes (2024) — 334 citations
- Generative AI (2023) — 1,478 citations
- Improving Sentiment Analysis with Document-Level Semantic Relationships from Rhetoric Discourse Structures (2017) — 14 citations
- Measuring the financial impact of demand response for electricity retailers (2014) — 110 citations