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Frederick R. Reiss

Observed names: F. Reiss, F.R. Reiss, Frederick R Reiss, Frederick Reiss, Reiss, Frederick
ORCID: 0009-0002-1254-1798
Observed ORCID: 0009-0002-1254-1798
OpenAlex ID: A5074416632
TelegraphCQ: Continuous Dataflow Processing for an Uncertain World.
2003 · Sirish Chandrasekaran, Owen Cooper, et al. · Conference on Innovative Data Systems Research · 956
Rule-Based Information Extraction is Dead! Long Live Rule-Based Information Extraction Systems!
2013 · Laura Chiticariu, Yunyao Li, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 263
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SystemML
2016 · Matthias Boehm, Michael W. Dusenberry, et al. · Proceedings of the VLDB Endowment · 182
Design Considerations for High Fan-In Systems: The HiFi Approach.
2005 · Michael J. Franklin, Shawn R. Jeffery, et al. · 175
SystemT: An Algebraic Approach to Declarative Information Extraction
2010 · Laura Chiticariu, Rajasekar Krishnamurthy, et al. · 146
SystemT
2009 · Rajasekar Krishnamurthy, Yunyao Li, et al. · ACM SIGMOD Record · 133
Domain Adaptation of Rule-Based Annotators for Named-Entity Recognition Tasks
2010 · Laura Chiticariu, Rajasekar Krishnamurthy, et al. · 129
Constant-Time Query Processing
2008 · Vijayshankar Raman, Garret Swart, et al. · IEEE International Conference on Data Engineering (ICDE) · 120
An Algebraic Approach to Rule-Based Information Extraction
2008 · Frederick Reiss, Sriram Raghavan, et al. · IEEE International Conference on Data Engineering (ICDE) · 114
Document Spanners
2015 · Ronald Fagin, Benny Kimelfeld, et al. · Journal of the ACM · 93
Main-memory scan sharing for multi-core CPUs
2008 · Lin Qiao, Vijayshankar Raman, et al. · Proceedings of the VLDB Endowment · 85
TelegraphCQ: An Architectural Status Report
2003 · Sailesh Krishnamurthy, Sirish Chandrasekaran, et al. · 74
Compressed linear algebra for large-scale machine learning
2016 · Ahmed Elgohary, Matthias Boehm, et al. · Proceedings of the VLDB Endowment · 68
Data Triage: An Adaptive Architecture for Load Shedding in TelegraphCQ
2005 · F. Reiss, J.M. Hellerstein · IEEE International Conference on Data Engineering (ICDE) · 61
Resource Elasticity for Large-Scale Machine Learning
2015 · Botong Huang, Matthias Boehm, et al. · ACM SIGMOD International Conference on Management of Data (SIGMOD) · 57
Automatic rule refinement for information extraction
2010 · Bin Liu, Laura Chiticariu, et al. · Proceedings of the VLDB Endowment · 41
SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs.
2014 · Matthias Böhm, Douglas Burdick, et al. · IEEE Data(base) Engineering Bulletin · 36
Enterprise information extraction
2010 · Laura Chiticariu, Yunyao Li, et al. · ACM SIGMOD International Conference on Management of Data (SIGMOD) · 34
SystemT: A Declarative Information Extraction System
2011 · Yunyao Li, Frederick Reiss, et al. · 31
Identifying Incorrect Labels in the CoNLL-2003 Corpus
2020 · Frederick Reiss, Hong Xu, et al. · Conference on Computational Natural Language Learning · 27
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Hardware-accelerated regular expression matching for high-throughput text analytics
2013 · Kubilay Atasu, Raphael Polig, et al. · International Conference on Field Programmable Logic and Applications (FPL) · 25
Compact histograms for hierarchical identifiers
2006 · Frederick Reiss, Minos Garofalakis, et al. · Very Large Data Bases · 24
Compressed linear algebra for large-scale machine learning
2017 · Ahmed Elgohary, Matthias Boehm, et al. · The VLDB Journal · 23
Declarative Cleaning of Inconsistencies in Information Extraction
2016 · Ronald Fagin, Benny Kimelfeld, et al. · ACM Transactions on Database Systems · 23
Declarative Network Monitoring with an Underprovisioned Query Processor
2006 · F. Reiss, J.M. Hellerstein · IEEE International Conference on Data Engineering (ICDE) · 23
Works count: 60
Citation count: 3,215
H-index: 23
I10-index: 37
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