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gradient boosting

55 papers and 7 presentations; 61 titles.

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Conference × Year × Title × Authors Extras Pages
PHUSE US 2026 AI-Driven Quality Risk Management for Contract Manufacturing Oversight: An ML Approach Kiran Kumar Gande source
presentation source		 7
WUSS 2025 Getting Started with SAS Visual Analytics Danny R. Modlin source 4
PHUSE US 2025 Applications of Machine Learning and Artificial Intelligence in Real-World Data in Personalised Medicine for Non-Small Cell Lung Cancer Patients Samiul Haque source
presentation source		 8
MWSUG 2024 Introduction to Machine Learning in SAS [presentation] Melodie Rush source 71
SESUG 2024 Unlocking Insights: Harnessing Supervised Machine Learning for Advanced Data Analysis Vindhya Hegde source 23
WUSS 2024 Airbnb Consumer Behavior Analysis Evelyn Larson,
Anabeli Chandra		 source 14
WUSS 2024 From Keys to Credit: A Deep Dive into Homeownership's Influence on Loan Quality Yi-Che Chen,
Debanik Chakraborty		 source 15
PharmaSUG 2024 Applications of Machine Learning and Artificial Intelligence in Real World Data in Personalized Medicine for Non-Small Cell Lung Cancer Patients Sherrine Eid,
Samiul Haque,
S. Robert Collins		 source 8
PharmaSUG 2024 Bayesian Additive Regression Trees for Counterfactual Prediction and Estimation Michael Lamm source 10
PharmaSUG 2022 Generating Real World Evidence On The Likelihood Of Metastatic Cancer In Patients Through Machine Learning In Observational Research: Insights For Prevention Sherrine Eid,
Samiul Haque,
S. Robert Collins		 source 8
PHUSE EU 2021 HoW: RWD Applications in Pharma with a Focus on Clinical Trials [presentation] Berber Snoeijer,
Samiul Haque		 source 47
SGF 2020 A Data-driven Approach to Understand Mild Cognitive Impairment from Imbalanced Data Using SAS [presentation] Liyuan Liu,
Meng Han,
Yiyun Zhou,
Gita Taasoobshirazi		 source 5
SGF 2020 Evolutionary Feature Selection for Machine Learning Nandini Rakala source 12
SGF 2020 Explanatory Machine Learning Model Plots for Epidemiological and Real-World Evidence Studies David Olaleye source 22
SGF 2020 Hate Speech Classification of social media posts using Text Analysis and Machine Learning Venkateshwarlu Konduri source 7
SGF 2020 How SAS Viya Provides a Way to Deliver Analytics to Everyone: Image Classification Examples Pavel Rogatch source 5
SGF 2020 How to Explain Your Black-Box Models in SAS Viya Funda Güneş source 26
SGF 2020 Using Python with Model Studio for SAS Visual Data Mining and Machine Learning Jagruti Kanjia source 35
SGF 2020 Winning Tactics for SAS Visual Data Mining and Machine Learning: Why it's the Only Skill You Need Chris St. Jeor source 12
PHUSE US 2020 Is Artificial Intelligence our destiny? Data-driven Decision-making in a Dynamic Landscape using SAS Viya Aman Bahl,
Hrideep Antony		 source
presentation source		 13
PHUSE EU 2019 ML07 Interpreting Black-box Machine Learning Models: Real-world Evidence Examples and Application [presentation] Jim Box source 24
SGF 2019 Augmented Reality (Ar) Predictive maintenance System with Artificial Intelligence (AI) for Industrial Moblie Robot Yee Yang Tay,
Ye Sheng Koh,
Marvin Dares		 source 12
SGF 2019 Exploring the Intentions of Entering Entrepreneurship for SAS Global Forum 2019 Surabhi Arya,
Prashant Gour,
Dhruv Sharma,
Jeroen Vanheeringen		 source 7
SGF 2019 Generating Sales Insights from Predictive Models Krzysztof Dzieciolowski source 10
SGF 2019 Improve Your AML Monitoring While Reducing Costs with SAS Viya Calvin Crase,
Chris St. Jeor		 source 11
SGF 2019 Machine Learning and Predictive Analytics in SAS Enterprise Miner and SAS/STAT Software David Richard Cutler source 21
SGF 2019 Playing Favorites: Our Top 10 Model Studio Features in SAS Visual Data Mining and Machine Learning Wendy Czika,
Peter Gerakios		 source 16
SGF 2019 SAS Enterprise Miner and SAS Visual Data Mining and Machine Learning Hand Shake Jagruti Kanjia,
Dominique Latour,
Holly Sweeney		 source 35
SGF 2019 The Aftermath What Happens after you Deploy Your Models and Decisions David R. Duling source 18
SGF 2019 Writing a Gradient Boosting Model Node for SAS Visual Forecasting Yue Li,
Jingrui Xie,
Iman Vasheghani Farahani		 source 19
SCSUG 2018 Machine Learning in Litigation Prediction - Workers' Compensation Litigation Propensity Predictive Model Mei Najim source 17
PHUSE EU 2018 Using SAS Advanced Analytic to Gain Insight into the Opioid Epidemic [presentation] Andy Bayliss source 17
SESUG 2018 Predicting the Risk of Attrition for Undergraduate Students using SAS Enterprise Miner Sivateja Reddy Kandula source 12
WUSS 2018 Analyzing international assessments: An ensemble and model comparison approach Chong Ho Yu,
Hyun Seo Lee,
Siyan Gan,
Emily Lara		 source 13
PharmaSUG 2018 Build Models without Code with the new SAS Visual Interface Jim Box source 12
SGF 2018 A Cautionary Tale of Using Machine Learning within Credit Risk in the Utilities Industry Spiros Potamitis,
Paul Malley		 source 8
SGF 2018 A Study of Modeling Approaches for Predicting Dropout in a Business College Helmut Schneider,
Xuan Wang		 source 8
SGF 2018 Claim Analytics: A Litigation Prediction Case Study Mei Najim source 18
SGF 2018 Credit Score: A Comparison of Gradient Boosting with Logistic Regression in Practical Cases Paulo Di Cellio Dias,
Marc Witarsa		 source 25
SGF 2018 Interpreting Black-Box Machine Learning Models Using Partial Dependence and Individual Conditional Expectation Plots Ray Wright source 19
SGF 2018 Machine Learning Bots for Fraud, Waste, and Abuse Michael Ames source 9
SGF 2018 Shorter Waiting Time, Better Emergency Healthcare: Forecasting Stockholms' Emergency Room Visits Martin Nordberg,
Oskar Eriksson		 source 24
SGF 2018 The Ensemble of Neural Network and Gradient Boosting for the Prediction of Customer Profitability Sunny Lam source 15
PHUSE EU 2017 SAS Visual Data Mining [presentation] Andy Bayliss source 3
MWSUG 2017 Claim Analytics Mei Najim 18
WUSS 2017 An Overview of SAS Visual Data Mining and Machine Learning on SAS Viya Radhikha Myneni source 23
SGF 2017 An Overview of SAS Visual Data Mining and Machine Learning on SAS Viya Jonathan Wexler,
Susan Haller		 source 23
SGF 2017 Examining Higher Education Performance Metrics with SAS Enterprise Miner and SAS Visual Analytics Taylor Blaetz,
Tuesdi Helbig,
Gina Huff,
Matt T. Bogard		 source 15
SGF 2017 Interactive Modeling in SAS Visual Analytics Donald R. Chapman,
Jonathan Wexler		 source 16
SGF 2017 Modeling the Merchandise Return Behavior of Anonymous and Non-Anonymous Online Apparel Retail Shoppers Sunny Lam source 20
SGF 2017 Predictive Accuracy: A Misleading Performance Measure for Highly Imbalanced Data Josephine Akosa source 12
SGF 2017 Revenue Score: Forecasting Credit Card Products with Zero Inflated Beta Regression and Gradient Boosting Marc Witarsa,
Paulo Di Cellio Dias		 source 20
SGF 2017 Stacked Ensemble Models for Improved Prediction Accuracy Funda Güneş,
Russell D. Wolfinger,
Pei-Yi Tan		 source 19
SGF 2017 Using Python with SAS Cloud Analytic Services Kevin D. Smith,
Xiangxiang Meng		 source 23
SGF 2016 Application of Data Mining Techniques in Improving Breast Cancer Diagnosis Josephine Akosa source
presentation		 10
SGF 2016 Application of Gradient Boosting through SAS Enterprise Miner to Classify Human Activities Minh Pham,
Mary Ruppert-Stroescu,
Mostakim Tanjil		 source
presentation		 8
SGF 2016 Holiday Demand Forecasting in the Utility Industry Rain Xie,
Alex Chien		 source 13
SGF 2016 Predicting Rare Events Using Specialized Sampling Techniques in SAS Rhupesh Damodaran Ganesh Kumar,
Kiren Raj Mohan Jagan Mohan		 source 7
SGF 2014 The Soccer Oracle: Predicting Soccer Game Outcomes Using SAS Enterprise Miner [presentation] Vandana Reddy,
Sai Vijay Kishore Movva		 source 3
SGF 2013 A Data-Driven Analytic Strategy for Increasing Yield and Retention at Western Kentucky University Using SAS Enterprise BI and SAS Enterprise Miner Matt T. Bogard source 12
NESUG 2012 An Animated Guide: Regression Trees in JMP and Enterprise Miner Russell M. Lavery 32
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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