Ihab F. Ilyas
Artificial Intelligence · 2004–2018
A researcher in the Science corpus: 20 papers; trusts 94 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 122 citations into it; #4,975 of 35,345 by trust here, #5,221 by citations
- Management Science and Operations Research — 116 citations into it; #739 of 11,946 by trust here, #423 by citations
- Computer Networks and Communications — 108 citations into it; #2,174 of 9,886 by trust here, #1,992 by citations
- Information Systems — 74 citations into it; #1,133 of 8,771 by trust here, #1,045 by citations
- Signal Processing — 57 citations into it; #4,200 of 7,572 by trust here, #3,428 by citations
- Information Retrieval & Search — 19 citations into it
- Computer Vision and Pattern Recognition — 16 citations into it
- Natural Language Processing — 14 citations into it
Whom Ihab F. Ilyas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xu Chu
- Joseph M Hellerstein
- Wenfei Fan
- Jiannan Wang
- Ahmed K. Elmagarmid
- Lise Getoor
- Mikhail Bilenko
- Philip Bohannon
- L. Bertossi
- Eugene Wu
Who trusts Ihab F. Ilyas overall
- Xu Chu
- Sanjay Krishnan
- Ziawasch Abedjan
- Theodoros Rekatsinas
- Mohammad Mahdavi
- Avanika Narayan
- Marc-André Zöller
- Jian He
- M. Stonebraker
- Peter Bailis
Papers from Ihab F. Ilyas's perspective
Ordered by how strongly the researchers Ihab F. Ilyas trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Et al
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Data Cleaning: Overview and Emerging Challenges (2016) — 559 citations
- Guided data repair (2011) — 233 citations
- NADEEF: a commodity data cleaning system (2013) — 351 citations
- KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing (2015) — 319 citations
- Discovering Denial Constraints (2013) — 269 citations
- Detecting Data Errors: Where are we and what needs to be done? (2016) — 300 citations
- Holistic data cleaning: Putting violations into context (2013) — 375 citations
- BigDansing: A System for Big Data Cleansing (2015) — 180 citations
- HoloClean: Holistic Data Repairs with Probabilistic Inference (2017) — 582 citations
- Trends in Cleaning Relational Data: Consistency and Deduplication (2015) — 168 citations
- Top-k Query Processing in Uncertain Databases (2007) — 479 citations
- Seeping Semantics: Linking Datasets Using Word Embeddings for Data Discovery (2018) — 143 citations
- Data Integration: The Current Status and the Way Forward (2018) — 149 citations
- The Data Civilizer System (2017) — 172 citations
- A Demo of the Data Civilizer System (2017) — 37 citations
- Effective Data Cleaning with Continuous Evaluation (2016) — 18 citations
- Data Curation at Scale: The Data Tamer System (2013) — 244 citations
- A survey of top-k query processing techniques in relational database systems (2008) — 975 citations
- RankSQL: query algebra and optimization for relational top-k queries (2005) — 331 citations
- CORDS: automatic discovery of correlations and soft functional dependencies (2004) — 367 citations