A Single Language Evaluation of a Multi-lingual Text Retrieval System. - Ted Dunning; Mark W. Davis (TREC, 1992)

Accurate Methods for the Statistics of Surprise and Coincidence. - Ted Dunning (Comput. Linguistics, 1993)

Text Alignment in the Real World: Improving Alignments of Noisy Translations Using Common Lexical Features, String Matching Strategies and N-Gram Comparisons. - Mark W. Davis; Ted Dunning; William C. Ogden (EACL, 1995)

Query Translation Using Evolutionary Programming for Multi-lingual Information Retrieval. - Mark W. Davis; Ted Dunning (Evolutionary Programming, 1995)

Mobile Robots Teach Machine-Level Programming. - Patricia J. Teller; Ted Dunning (SC, 1995)

A TREC Evaluation of Query Translation Methods For Multi-Lingual Text Retrieval. - Mark W. Davis; Ted Dunning (TREC, 1995)

Query Translation Using Evolutionary Programming for Multilingual Information Retrieval II. - Mark W. Davis; Ted Dunning (Evolutionary Programming, 1996)

Recorded Step Directional Mutation for Faster Convergence. - Ted Dunning (Evolutionary Programming, 1998)

Finding Structure in Text, Genome and Other Symbolic Sequences - Ted Dunning (CoRR, 2012)

Real-Time Discovery Services over Large, Heterogeneous and Complex Healthcare Datasets Using Schema-Less, Column-Oriented Methods. - Edmon Begoli; Ted Dunning; Charlie Frasure (BigDataService, 2016)

Efficient Incremental Cooccurrence Analysis for Item-Based Collaborative Filtering. - Sebastian Schelter; Ufuk Celebi; Ted Dunning (SSDBM, 2019)

Computing Extremely Accurate Quantiles Using t-Digests. - Ted Dunning; Otmar Ertl (CoRR, 2019)

Management of Time. - Ted Dunning (Encyclopedia of Big Data Technologies, 2019)

Rendezvous Architectures. - Ted Dunning; Ellen Friedman (Encyclopedia of Big Data Technologies, 2019)

Streaming Microservices. - Ted Dunning; Ellen Friedman (Encyclopedia of Big Data Technologies, 2019)

Apache Mahout: Machine Learning on Distributed Dataflow Systems. - Robin Anil; Gökhan Çapan; Isabel Drost-Fromm; Ted Dunning; Ellen Friedman; Trevor Grant; Shannon Quinn; Paritosh Ranjan; Sebastian Schelter; Özgür Yilmazel (J. Mach. Learn. Res., 2020)

HedgeCut: Maintaining Randomised Trees for Low-Latency Machine Unlearning. - Sebastian Schelter; Stefan Grafberger; Ted Dunning (SIGMOD Conference, 2021)

The t-digest: Efficient estimates of distributions. - Ted Dunning (Softw. Impacts, 2021)

From Roots to Fruits: Exploring Lineage for Dataset Recommendations. - Tarun Kumar; Arpit Shah; Ashish Mishra 005; Suparna Bhattacharya; Arun Mahendran; Ted Dunning; Glyn Bowden (DEC@SIGMOD, 2023)