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ORCIDAaron N. Richter
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2020 – today
- 2020
[j6]Aaron N. Richter
, Taghi M. Khoshgoftaar:
Sample size determination for biomedical big data with limited labels. Netw. Model. Anal. Health Informatics Bioinform. 9(1): 12 (2020)
2010 – 2019
- 2019
- [b1]Aaron N. Richter:
Predicting Melanoma Risk from Electronic Health Records with Machine Learning Techniques. Florida Atlantic University, Boca Raton, USA, 2019 - [j5]Aaron N. Richter, Taghi M. Khoshgoftaar:
Efficient learning from big data for cancer risk modeling: A case study with melanoma. Comput. Biol. Medicine 110: 29-39 (2019) - [j4]Aaron N. Richter, Taghi M. Khoshgoftaar:
Melanoma risk modeling from limited positive samples. Netw. Model. Anal. Health Informatics Bioinform. 8(1): 7 (2019) - [c10]Aaron N. Richter, Taghi M. Khoshgoftaar:
Learning Curve Estimation with Large Imbalanced Datasets. ICMLA 2019: 763-768 - [c9]Aaron N. Richter, Taghi M. Khoshgoftaar:
Approximating Learning Curves for Imbalanced Big Data with Limited Labels. ICTAI 2019: 237-242 - 2018
- [j3]Aaron N. Richter, Taghi M. Khoshgoftaar:
A review of statistical and machine learning methods for modeling cancer risk using structured clinical data. Artif. Intell. Medicine 90: 1-14 (2018) - [c8]Aaron N. Richter, Taghi M. Khoshgoftaar:
Melanoma Risk Prediction with Structured Electronic Health Records. BCB 2018: 194-199 - [c7]Aaron N. Richter, Taghi M. Khoshgoftaar:
Building and Interpreting Risk Models from Imbalanced Clinical Data. ICTAI 2018: 143-150 - 2017
- [c6]Aaron N. Richter, Taghi M. Khoshgoftaar:
Predicting sentinel node status in melanoma from a real-world EHR dataset. BIBM 2017: 1872-1878 - [c5]Aaron N. Richter, Taghi M. Khoshgoftaar:
Modernizing Analytics for Melanoma with a Large-Scale Research Dataset. IRI 2017: 551-558 - 2016
- [c4]Richard A. Bauder, Taghi M. Khoshgoftaar, Aaron N. Richter, Matthew Herland:
Predicting Medical Provider Specialties to Detect Anomalous Insurance Claims. ICTAI 2016: 784-790 - [c3]Aaron N. Richter, Taghi M. Khoshgoftaar:
Predicting Cancer Relapse with Clinical Data: A Survey of Current Techniques. IRI 2016: 369-376 - 2015
- [j2]Michael Crawford, Taghi M. Khoshgoftaar, Joseph D. Prusa, Aaron N. Richter, Hamzah Al Najada:
Survey of review spam detection using machine learning techniques. J. Big Data 2: 23 (2015) - [j1]Sara Landset, Taghi M. Khoshgoftaar, Aaron N. Richter, Tawfiq Hasanin:
A survey of open source tools for machine learning with big data in the Hadoop ecosystem. J. Big Data 2: 24 (2015) - [c2]Aaron N. Richter, Michael Crawford, Brian Heredia, Taghi M. Khoshgoftaar:
Efficient Modeling of User-Entity Preference in Big Social Networks. ICTAI 2015: 982-988 - [c1]Aaron N. Richter, Taghi M. Khoshgoftaar, Sara Landset, Tawfiq Hasanin:
A Multi-dimensional Comparison of Toolkits for Machine Learning with Big Data. IRI 2015: 1-8
Coauthor Index
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