Ziawasch Abedjan
Artificial Intelligence · 2015–2019
A researcher in the Science corpus: 6 papers; trusts 32 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 39 citations into it
- Management Science and Operations Research — 37 citations into it; #8,325 of 11,946 by trust here, #4,746 by citations
- Information Systems — 35 citations into it; #6,446 of 8,771 by trust here, #5,501 by citations
- Computer Networks and Communications — 26 citations into it
- Signal Processing — 15 citations into it
- ML Systems & Hardware — 11 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Computational Theory and Mathematics — 6 citations into it
Whom Ziawasch Abedjan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ihab F. Ilyas
- Xu Chu
- Wenfei Fan
- Mohammed J. Zaki
- Yannis E. Ioannidis
- Joseph M Hellerstein
- Rakesh Agrawal
- Fei Chiang
- Sean Kandel
- Rui Xu
Who trusts Ziawasch Abedjan overall
- Mohammad Mahdavi
- Sanjay Krishnan
- Sebastian Schelter
- Felix Neutatz
- Yeounoh Chung
- Ihab F. Ilyas
- Larysa Visengeriyeva
- Raul Castro Fernandez
- Yuji Roh
- Steven Euijong Whang
Papers from Ziawasch Abedjan's perspective
Ordered by how strongly the researchers Ziawasch Abedjan trusts endorse each paper. Same corpus, a different order for every researcher.
- Potter's Wheel: An Interactive Data Cleaning System
- Duplicate Record Detection: A Survey (IEEE Transactions on Knowledge and Data Engineering)
- Improving Data Quality: Consistency and Accuracy (Very Large Data Bases Conference)
- Data Cleaning: Problems and Current Approaches.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Quantitative Data Cleaning for Large Databases
Their papers
- Detecting Data Errors: Where are we and what needs to be done? (2016) — 300 citations
- Profiling relational data: a survey (2015) — 348 citations
- Aurum: A Data Discovery System (2018) — 278 citations
- Towards Automated Data Cleaning Workflows (2019) — 27 citations
- The Data Civilizer System (2017) — 172 citations
- A Demo of the Data Civilizer System (2017) — 37 citations