imbalanced data

9 papers and 3 presentations; 12 titles.

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Conference ×	Year ×	Title ×	Authors	Extras	Pages
PHUSE APAC	2026	A Hybrid Machine Learning Framework for Predicting	Himanshu Dadhich, Nikhil Khandelwal	source presentation source	26
PHUSE US	2025	Streamlining Machine Learning Modelling in Neuroscience Clinical Trials Through Cross-Functional Collaboration	Jing Dai	source presentation source	5
PHUSE EU	2023	Using Machine learning for building a demonstrative model to counter the under-diagnosis of dementia	Ashapriya Sebastian	source presentation source	12
SESUG	2022	A Two-Staged Local Regression Based Binning Method for Weight of Evidence Transformation in Credit Scoring Models	Hui Wang, Shirong Huang, Emma Zhou, Erin Martin	source	30
PHUSE US	2021	SDTM Mapping and Conversion Using NLP [presentation]	Eric Weising	source video	16
PHUSE EU	2020	Enhanced COVID-19 (SARS-COV-2) Detection - An Artificial Intelligence Approach [presentation]	Muhammad Hamiz Ahmed, Soundarya Palanisamy	source video	37
PHUSE EU	2020	SDTM Mapping and Conversion Using ML/NLP [presentation]	Eric Weising, Farha Feroze	source video	15
SGF	2019	Asking the Right Questions: A study in Multiclass Imbalanced Classification for H1-B Visas	Matthew Bunker, Owen Kelly	source	7
SGF	2018	Mitigating the Effects of Class Imbalance Using SMOTE and Tomek Link Undersampling in SAS	Kyle Biron	source	20
SGF	2017	Predictive Accuracy: A Misleading Performance Measure for Highly Imbalanced Data	Josephine Akosa	source	12
SGF	2015	A Case Study: Improve Classification of Rare Events with SAS Enterprise Miner	Ruizhe Wang, Novik Lee, Yun Wei	source zip	12
SGF	2012	An Experimental Comparison of Classification Techniques for Imbalanced Credit Scoring Data Sets Using SAS Enterprise Miner	Iain L. Brown	source	14

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