G. Paliouras
Artificial Intelligence · 2000–2021
A researcher in the Science corpus: 6 papers; trusts 17 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it; #22,698 of 35,345 by trust here, #12,387 by citations
- Information Systems — 16 citations into it; #3,425 of 8,771 by trust here, #1,964 by citations
- Natural Language Processing — 10 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Computer Networks and Communications — 5 citations into it
Whom G. Paliouras trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ken Lang
- J. Ross Quinlan
- Bamshad Mobasher
- William W. Cohen
- Mehran Sahami
- Ion Androutsopoulos
- Pang-Ning Tan
- Sergios Theodoridis
- David E. Heckerman
- Arthur P. Dempster
Who trusts G. Paliouras overall
- Bo Li
- David Mandell Freeman
- Trang P. Tran
- Pang Wei Koh
- Shuo Xu
- Le Zhang
- Enrico Blanzieri
- S. Kalyanaraman
- Sheng-yi Jiang
- B. Shravan Kumar
Papers from G. Paliouras's perspective
Ordered by how strongly the researchers G. Paliouras trusts endorse each paper. Same corpus, a different order for every researcher.
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (Journal of machine learning research)
- C4.5: Programs for Machine Learning
- NewsWeeder: Learning to Filter Netnews
- Pattern classification and scene analysis
- Empirical Analysis of Predictive Algorithms for Collaborative Filtering
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- A Bayesian Approach to Filtering Junk E-Mail
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- An evaluation of Naive Bayesian anti-spam filtering (2000) — 697 citations
- An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition (2015) — 831 citations
- Overview of BioASQ 2021: The ninth BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering (2021) — 53 citations
- Spam Filtering with Naive Bayes - Which Naive Bayes? (2006) — 707 citations
- Web Usage Mining as a Tool for Personalization: A Survey (2003) — 450 citations
- Learning to Filter Spam E-Mail: A Comparison of a Naive Bayesian and a Memory-Based Approach (2000) — 410 citations