Efficient Modeling of User-Entity Preference in Big Social Networks. - Aaron N. Richter; Michael Crawford; Brian Heredia; Taghi M. Khoshgoftaar (ICTAI, 2015)

A Multi-dimensional Comparison of Toolkits for Machine Learning with Big Data. - Aaron N. Richter; Taghi M. Khoshgoftaar; Sara Landset; Tawfiq Hasanin (IRI, 2015)

Survey of review spam detection using machine learning techniques. - Michael Crawford; Taghi M. Khoshgoftaar; Joseph D. Prusa; Aaron N. Richter; Hamzah Al Najada (J. Big Data, 2015)

A survey of open source tools for machine learning with big data in the Hadoop ecosystem. - Sara Landset; Taghi M. Khoshgoftaar; Aaron N. Richter; Tawfiq Hasanin (J. Big Data, 2015)

Predicting Medical Provider Specialties to Detect Anomalous Insurance Claims. - Richard A. Bauder; Taghi M. Khoshgoftaar; Aaron N. Richter; Matthew Herland (ICTAI, 2016)

Predicting Cancer Relapse with Clinical Data: A Survey of Current Techniques. - Aaron N. Richter; Taghi M. Khoshgoftaar (IRI, 2016)

Predicting sentinel node status in melanoma from a real-world EHR dataset. - Aaron N. Richter; Taghi M. Khoshgoftaar (BIBM, 2017)

Modernizing Analytics for Melanoma with a Large-Scale Research Dataset. - Aaron N. Richter; Taghi M. Khoshgoftaar (IRI, 2017)

Melanoma Risk Prediction with Structured Electronic Health Records. - Aaron N. Richter; Taghi M. Khoshgoftaar (BCB, 2018)

Building and Interpreting Risk Models from Imbalanced Clinical Data. - Aaron N. Richter; Taghi M. Khoshgoftaar (ICTAI, 2018)

A review of statistical and machine learning methods for modeling cancer risk using structured clinical data. - Aaron N. Richter; Taghi M. Khoshgoftaar (Artif. Intell. Medicine, 2018)

Learning Curve Estimation with Large Imbalanced Datasets. - Aaron N. Richter; Taghi M. Khoshgoftaar (ICMLA, 2019)

Approximating Learning Curves for Imbalanced Big Data with Limited Labels. - Aaron N. Richter; Taghi M. Khoshgoftaar (ICTAI, 2019)

Efficient learning from big data for cancer risk modeling: A case study with melanoma. - Aaron N. Richter; Taghi M. Khoshgoftaar (Comput. Biol. Medicine, 2019)

Melanoma risk modeling from limited positive samples. - Aaron N. Richter; Taghi M. Khoshgoftaar (Netw. Model. Anal. Health Informatics Bioinform., 2019)

Predicting Melanoma Risk from Electronic Health Records with Machine Learning Techniques. - Aaron N. Richter (2019)

Sample size determination for biomedical big data with limited labels. - Aaron N. Richter; Taghi M. Khoshgoftaar (Netw. Model. Anal. Health Informatics Bioinform., 2020)