Christina Teflioudi
Artificial Intelligence · 2013–2015
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 14 citations into it; #18,529 of 35,345 by trust here, #14,181 by citations
- Signal Processing — 6 citations into it
- Computer Networks and Communications — 5 citations into it
Whom Christina Teflioudi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Fabian M. Suchanek
- Stephen H. Muggleton
- Matthew Richardson
- Natasha Noy
- Rakesh Agrawal
- Deborah L. McGuinness
- Gerhard Weikum
- Pedro M. Domingos
- Mark A. Musen
- Thomas Neumann
Who trusts Christina Teflioudi overall
- Quan Wang
- Andrea Rossi
- Naser Ahmadi
- Mohammed Saeed
- Stefano Ortona
- Jing Zhang
- Zhendong Mao
- Zhaocheng Zhu
- A. Sadeghian
- Xanh Ho
Papers from Christina Teflioudi's perspective
Ordered by how strongly the researchers Christina Teflioudi trusts endorse each paper. Same corpus, a different order for every researcher.
- YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia
- YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia: Extended Abstract
- Knowledge vault: a web-scale approach to probabilistic knowledge fusion
- Markov logic networks
- PROMPT: Algorithm and Tool for Automated Ontology Merging and Alignment (AAAI/IAAI)
- Factorizing YAGO: scalable machine learning for linked data
- Fast Discovery of Association Rules
- An Environment for Merging and Testing Large Ontologies (International Conference on Principles of Knowledge Representation and Reasoning)
- An Introduction to the Syntax and Content of Cyc (AAAI Spring Symposium: Formalizing and Compiling Background Knowledge and Its Applications to Knowledge Representation and Question Answering)
- YAGO3: A Knowledge Base from Multilingual Wikipedias
Their papers
- AMIE: association rule mining under incomplete evidence in ontological knowledge bases (2013) — 770 citations
- Fast rule mining in ontological knowledge bases with AMIE+\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$+$$\end{docu (2015) — 560 citations