Georgios Gousios
Information Systems · 2009–2022
A researcher in the Science corpus: 9 papers; trusts 109 researchers and is trusted by 70 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 118 citations into it; #189 of 8,771 by trust here, #1,010 by citations
- Artificial Intelligence — 69 citations into it; #23,619 of 35,345 by trust here, #19,018 by citations
- Software — 53 citations into it
- Program Analysis & Verification — 40 citations into it; #157 of 301 by trust here, #166 by citations
- Natural Language Processing — 39 citations into it
- Computer Science Applications — 33 citations into it; #413 of 1,855 by trust here, #485 by citations
- Code Generation & Program Synthesis — 30 citations into it; #126 of 220 by trust here, #113 by citations
- Signal Processing — 26 citations into it
Whom Georgios Gousios trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Christian Bird
- Miltiadis Allamanis
- Diomidis D. Spinellis
- Muthu Dayalan
- Peter C. Rigby
- Premkumar T. Devanbu
- Nicolas Ducheneaut
- Alberto Bacchelli
- Laura A. Dabbish
- Eirini Kalliamvakou
Who trusts Georgios Gousios overall
- Eirini Kalliamvakou
- Bogdan Vasilescu
- Sebastian Baltes
- Davide Spadini
- Miltiadis Allamanis
- Nuthan Munaiah
- Josh Terrell
- Thibaud Lutellier
- Kelly Blincoe
- Cristina Videira Lopes
Papers from Georgios Gousios's perspective
Ordered by how strongly the researchers Georgios Gousios trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- TypeWriter: neural type prediction with search-based validation (2019) — 135 citations
- CodeFill: Multi-token Code Completion by Jointly learning from Structure and Naming Sequences (2022) — 128 citations
- Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python (2021) — 77 citations
- An in-depth study of the promises and perils of mining GitHub (2015) — 309 citations
- An exploratory study of the pull-based software development model (2014) — 653 citations
- Work Practices and Challenges in Pull-Based Development: The Contributor's Perspective (2014) — 502 citations
- The GHTorent dataset and tool suite (2013) — 600 citations
- GHTorrent: Github's data from a firehose (2012) — 318 citations
- The promises and perils of mining GitHub (2009) — 978 citations