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AI Research

Solving Hard Problems

InferLink is a data science firm with its own AI R&D center that specializes in applying AI technologies to solve complex problems for government and enterprise clients. Our solutions are designed to work, whatever the challenge or complexity.

information search cybersecurity medical literature clustering text mining data integration

natural language processing entity resolution relationship discovery

artificial intelligence clinical research classifiers unsupervised learning relational data

social media analysis taxonomy applications people data

web harvesting active learning knowledge graphs

Selected Publications

The InferLink team is widely published and frequently cited in top national and international artificial intelligence journals and conference proceedings, receiving numerous awards for their work. Below are some representative publications:

The significant cost of systematic reviews and meta-analyses: A call for greater involvement of machine learning to assess the promise of clinical trials

Michelson M, Reuter K.

Contemporary clinical trials communications, 2019

Automated Discovery of Comparative Effectiveness Hypotheses from Medical Literature

Ross M, Michelson M, Tee Qiao Ying A, Ashish N, Minton S.

Value in Health, 2019

How Does Machine-Learning Compare to an Incoming Medical Student in Extracting Outcomes Results from Abstracts?

Michelson M, Ross M, Minton S.

Value in Health, 2019

The Impact of Environmental Stressors on Human Trafficking

Tomkins S, Farnadi G, Amanatullah B, Lise Getoor, Minton S.

IEEE International Conference on Data Mining, 2018

Mining Commit Log Messages to Identify Risky Code

Barish G, Michelson M, Minton S.

Proceedings of the International Conference on Computer Science and Artificial Intelligence, 2017

Overview of AutoFeed: An Unsupervised Learning System for Generating Webfeeds

Gazen B, Minton S.

Proceedings of the 21st National Conference on Artificial Intelligence, 2006

Interactive Data Integration through Smart Copy & Paste

Ives Z G, Knoblock C A, Minton S, Jacob M, Talukdar P P, Tuchinda R, Ambite J L, Muslea M, Gazen C.

Conference on Innovative Data Systems Research, 2009

EntityBases: Compiling, Organizing and Querying Massive Entity Repositories

Knoblock C A, Ambite J L, Ganesan K, Muslea M, Minton S, Barish G, Gamble E, Nanjo C, See K, Shahabi C, Chen C-C.

Proceedings of the International Conference on Artificial Intelligence, 2007

Materializing Multi-Relational Databases from the Web using Taxonomic Queries

Michelson M, Macskassy S A.

Proceedings of the Fourth ACM International Conference on Web Search and Data Mining, 2011

Beyond Sensors: Reading Patients Through Caregivers and Context

Barish G, Lester P MD, Saltzman W, Elbogen E.

Proceedings of the ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

Analyzing Foreign-Language Social-Media Reaction to Televised Speeches: Lessons Learned

Amanatullah B, Minton S, Michelson M, Barish G, See K.

Proceedings on the International Conference on Artificial Intelligence, 2015

Building and Using a Knowledge Graph to Combat Human Trafficking (Winner, Best Applied Paper, 2015 International Semantic Web Conference)

Szekely P, Knoblock C A, Slepicka J, Philpot A, et al.

14th International Semantic Web Conference, 2015

The Value of AI Tools: Some Lessons Learned

Minton S.

AI Magazine, 2017

An Expressive Language and Efficient Execution System for Software Agents

Barish G, Knoblock C A.

Journal of Artificial Intelligence Research, 2005

Leveraging Machine-Assistance to Replicate a Systematic Review

Michelson M, Ross M, Minton S.

Value in Health, 2019

A Deep Learning Method to Automatically Identify Reports of Scientifically Rigorous Clinical Research from the Biomedical Literature: Comparative Analytic Study

Del Fiol G, Michelson M, Iorio A, Cotoi C, Haynes R B.

Journal of Medical Internet Research, 2018

Information Integration for the Masses

Blythe J, Kapoor D, Knoblock C A, Lerman K, Minton S.

Journal of Universal Computer Science, vol. 14, no. 11, 2008

Active Learning with Multiple Views

Muslea I, Minton S, Knoblock C A.

Journal of Artificial Intelligence Research, 2006

Artificial Intelligence for Rapid Meta-Analysis: Case Study on Ocular Toxicity of Hydroxychloroquine

Michelson M, Chow T, Martin N A, Ross M, Tee Qiao Ying A, Minton S.

Journal of Medical Internet Research, 2020

Creating Relational Data from Unstructured and Ungrammatical Data Sources

Michelson M, Knoblock C A.

Journal of Artificial Intelligence Research, 2008

Improving Classifier Performance by Autonomously Collecting Background Knowledge from the Web

Minton S, Michelson M, See K, Macskassy S A, Gazen B, Getoor L.

Proceedings of the 10th International Conference on Machine Learning and Applications and Workshops, 2011

Monitoring Entities in an Uncertain World: Entity Resolution and Referential Integrity

Minton S, Macskassy S A, LaMonica P M, See K, Knoblock C A, Barish G, Michelson M, Liuzzi R A.

Proceedings of the AAAI Conference on Artificial Intelligence, 2011

Temporally Aligning Clusters of Social Media Reaction to Speech Events

Amanatullah B, Barish G, Michelson M, Minton S.

Proceedings on the International Conference on Artificial Intelligence, 2013

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