Aaron N. Richter

According to our database, Aaron N. Richter authored at least 17 papers between 2015 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

Sample size determination for biomedical big data with limited labels.

Aaron N. Richter, Taghi M. Khoshgoftaar

Netw. Model. Anal. Health Informatics Bioinform., 2020

2019

Predicting Melanoma Risk from Electronic Health Records with Machine Learning Techniques.

Aaron N. Richter

PhD thesis, 2019

Melanoma risk modeling from limited positive samples.

Aaron N. Richter, Taghi M. Khoshgoftaar

Netw. Model. Anal. Health Informatics Bioinform., 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

Approximating Learning Curves for Imbalanced Big Data with Limited Labels.

Aaron N. Richter, Taghi M. Khoshgoftaar

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Learning Curve Estimation with Large Imbalanced Datasets.

Aaron N. Richter, Taghi M. Khoshgoftaar

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

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

Building and Interpreting Risk Models from Imbalanced Clinical Data.

Aaron N. Richter, Taghi M. Khoshgoftaar

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

Melanoma Risk Prediction with Structured Electronic Health Records.

Aaron N. Richter, Taghi M. Khoshgoftaar

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017

Modernizing Analytics for Melanoma with a Large-Scale Research Dataset.

Aaron N. Richter, Taghi M. Khoshgoftaar

Proceedings of the 2017 IEEE International Conference on Information Reuse and Integration, 2017

Predicting sentinel node status in melanoma from a real-world EHR dataset.

Aaron N. Richter, Taghi M. Khoshgoftaar

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Predicting Cancer Relapse with Clinical Data: A Survey of Current Techniques.

Aaron N. Richter, Taghi M. Khoshgoftaar

Proceedings of the 17th IEEE International Conference on Information Reuse and Integration, 2016

Predicting Medical Provider Specialties to Detect Anomalous Insurance Claims.

Richard A. Bauder, Taghi M. Khoshgoftaar, Aaron N. Richter, Matthew Herland

Proceedings of the 28th IEEE International Conference on Tools with Artificial Intelligence, 2016

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

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 Multi-dimensional Comparison of Toolkits for Machine Learning with Big Data.

Aaron N. Richter, Taghi M. Khoshgoftaar, Sara Landset, Tawfiq Hasanin

Proceedings of the 2015 IEEE International Conference on Information Reuse and Integration, 2015

Efficient Modeling of User-Entity Preference in Big Social Networks.

Aaron N. Richter, Michael Crawford, Brian Heredia, Taghi M. Khoshgoftaar

Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015