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425 papers and 88 presentations; 504 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 Building Better Data Science Workflows: Best Practices with Git, GitHub, Data Version Control (DVC), and MLflow for Open-Source Collaboration Ryan Paul Lafler source 15
WUSS 2026 Enhancing Your SAS Viya Workflows with Python: Integrating Python's Open-Source Libraries with SAS using PROC PYTHON Ryan Paul Lafler,
Miguel Bravo Martinez del Valle		 source 12
WUSS 2026 SQL Everywhere! Reuse your PROC SQL Code in R and Python with DuckDB Matthew T. Slaughter,
Isaiah Lankham,
Kirk Paul Lafler		 source 19
PharmaSUG CN 2026 An Interpretable Machine Learning Framework for Exploratory Survival and Safety Analysis Using Random Survival Forests and SHAP Kun Shao source 17
PharmaSUG 2026 Building Better Data Science Workflows: Best Practices with Git, GitHub, and Data Version Control (DVC) for Effective Collaboration Ryan Paul Lafler source 17
PharmaSUG 2026 Data Without Borders: CDISC Data Hub for Multi-Language Clinical Analytics & AI Mayank Singh source 11
PharmaSUG 2026 Enhancing Your SAS Viya Workflows with Python: Integrating Python's Open-Source Libraries with SAS using PROC PYTHON Ryan Paul Lafler,
Miguel Bravo Martinez del Valle		 source 13
PharmaSUG 2026 From Exploratory Data Analysis to Machine Learning: Continuing My Python Journey Leon Rod Davoody source 13
PharmaSUG 2026 From Molecular Subtypes to Bedside Decisions: An AI Approach for Personalized Critical Care Recommendations Xi Jiang,
Scott McClain		 source 8
PharmaSUG 2026 Machine Learning Models for Predicting Diabetes Using the PIMA Indians Dataset Leon Rod Davoody source 11
PharmaSUG 2026 Running Python from SAS: A Practical Comparison of Available Approaches David L. Ward source 12
PharmaSUG 2026 Streamlining Workflows in Real-World Evidence Studies with an R-Based Automation Tool Lihai Song source 16
PHUSE US 2026 AI-Driven Quality Risk Management for Contract Manufacturing Oversight: An ML Approach Kiran Kumar Gande source
presentation source		 7
PHUSE US 2026 AI-powered approach for faster, more efficient authoring of clinical and regulatory documents Abhijeet Arora source
presentation source		 4
PHUSE US 2026 AutoProgramming: Agents Are All Y ou Need Chengxin Li source
presentation source		 11
PHUSE US 2026 Breaking into Statistical Programming: How SAS, R, Python, AI and ML Are Shaping Career Paths Kishore Pothuri source
presentation source		 6
PHUSE US 2026 Challenges and Solutions for Generating Synthetic CDISC Data Sundaresh Sankaran,
Catherine Briggs		 source
presentation source		 6
PHUSE US 2026 Digital Twins for Clinical Submissions: Simulating Regulatory Review Before Submission Heather Gorr,
Divya Kapoor		 source
presentation source		 9
PHUSE US 2026 Enhancing Clinical Trial Dataset Mapping with AI/ML Techniques: An Approach for CDISC Variable Prediction Parvee Kumar source
presentation source		 7
PHUSE US 2026 From Automation to Audit-Readiness-AI's Growing Role in Statistical Programming Manoj Kumar Maripally source
presentation source		 4
PHUSE US 2026 Leveraging Python for Synthetic External Vendor Data Generation for eCOA and ePRO Hitesh Raval source
presentation source		 9
PHUSE US 2026 Machine Learning Model for Risk Qualification of R Libraries Felipe Jimenez,
Luis Diego Leal Chaves		 source
presentation source		 13
PHUSE US 2026 Pre-Conf as a Data Review Layer: An AbbVie Case Study for Optimised Clinical Data Flow Gian Prakash,
Aman Thukral		 source
presentation source		 2
PHUSE US 2026 Robust Causal Inference in Real-World Evidence Studies with Double Machine Learning Yilun Huang,
Jing Dai		 source
presentation source		 5
PHUSE US 2026 Transparent Models or Black Box? Using Generative AI to Generate Real-World Intelligence Sherrine Eid source
presentation source		 7
PHUSE APAC 2026 A Hybrid Machine Learning Framework for Predicting Himanshu Dadhich,
Nikhil Khandelwal		 source
presentation source		 26
PHUSE APAC 2026 Accelerating Productivity: Understand How SAS Viya Copilot Helps Users Work More Effectively Across the Analytics Life Cycle Ajay Tomar source
presentation source		 6
PHUSE APAC 2026 AI-Powered Precision: Transforming Limb Salvage Decisions in Diabetic Foot Syndrome Kumar Sambhav source
presentation source		 6
PHUSE APAC 2026 An AI-Powered Digital Standards Library for Accelerated Regulatory Submissions Anshu Aman,
Varun Sethuraman		 source
presentation source		 4
PHUSE APAC 2026 Building a Trustworthy RWD Analytics Platform Key Considerations and Strategies William Yuanhao Kuan,
Ashwini Reddy		 source
presentation source		 7
PHUSE APAC 2026 Critical & Sensitive Information (CSI) Paper AS02 Revolutionizing Clinical Quality: A Frontier Approach with Quality by Design (QbD), Infrastructure Modernization and Data-Driven Analytics Priti Gupta,
Deepa Balaji		 source
presentation source		 12
PHUSE APAC 2026 Elevating transparency in data standardization Applying XAI in SDTM, ADaM, and TLF Generation Shakila Jagadeesan source
presentation source		 10
PHUSE APAC 2026 End-to-End Continuous Integration and Deployment Pipeline for Multi Language Analytics Applications: A Clinical Data Management Case Study Avinash Patnaik,
Varun Sethuraman		 source
presentation source		 7
PHUSE APAC 2026 Harnessing Real-World Evidence and Data Visualisation to Improve Clinical Development and Accelerate Patient-Centric, Insight-Driven Decision-Making [presentation] Mujeebuddin Shaik source 20
PHUSE APAC 2026 Leveraging Real-World Evidence (RWE) in Clinical Trial Design: Statistical Challenges and Opportunities Muhammed Farzan K source
presentation source		 6
PHUSE APAC 2026 Machine Learning Algorithms to Explore the Relationship Between Primary Obsessive-Compulsive Disorder (OCD) and Co-morbid Depression Symptoms Ajay Kumar Singh,
Sabyasachi Mukherjee		 source
presentation source		 12
PHUSE APAC 2026 Unlock Deeper Clinical Insights: A Unified Approach to Data Analysis with SAS, R, and Python Pavan Kallurkar source
presentation source		 7
PHUSE EU 2025 Bridging Languages: Building Integrated Analytical Tools with SAS, R, and Python for Clinical Data Margarethe Povey source
presentation source		 7
PHUSE EU 2025 How to Identify and Operationalize GenAI Use Cases Which Really Help You Christoph Bergen,
Luis Wirth		 source
presentation source		 8
PHUSE EU 2025 Human in or Human out of the Loop: Impact and Things To Consider While Deploying AI Olivier Bouchard source
presentation source		 8
PHUSE EU 2025 Hybrid Way To Develop Patient Narratives [presentation] Loskutov Volodymyr,
Oleh Buno		 source 16
PHUSE EU 2025 Keeping it Real: A Tiered Approach to Real-World Data Quality by Leveraging Synthetic Data Lisa Murch,
William Kuan		 source
presentation source		 10
PHUSE EU 2025 Leveraging Open-Source Python Tools to Improve Efficiency and Transparency in Clinical Trials Sohan Lal,
Michael Olds		 source
presentation source		 8
PHUSE EU 2025 Poseidon: Streamlined Regulatory Screening of HA Websites with AI/ML to Extract Updates and Reduce Manual Efforts Maria Giovanna Zilli,
Fabian Wahren		 source
presentation source		 8
PHUSE EU 2025 Turning Data into Deliverables: Automating Biometrics from Metadata to TFLs Inderjeet Arora source
presentation source		 9
SESUG 2025 Introduction to Developing Neural Nets David B. Horvath 21
WUSS 2025 Future trends in AI and impacts on SAS Programming David B. Horvath source 5
PharmaSUG 2025 Addressing Challenges in Real-World Evidence Generation: The AI-SAS for Real-World Evidence Approach Takuji Komeda,
Yuki Yoshida,
Yohei Komatsu,
Yoshitake Kitanishi		 source 7
PharmaSUG 2025 Building Extensible Python Classes for Analysis and Research : It-s Easier Than You Think! Sundaresh Sankaran,
Samiul Haque		 source 8
PharmaSUG 2025 Interactive Longitudinal Data Analysis and Visualization in Clinical Research Using R. María José Gómez Ramírez source 8
PharmaSUG 2025 Low-Code Solutioning in SAS Viya for Automated Clinical Data Quality, Decisioning and Harmonization Mary Dolegowski,
Scott McClain		 source 10
PharmaSUG 2025 Methodology for AI-driven Outcome Prediction for Patients with Atrial Fibrillation After Transcatheter Aortic Valve Implantation (TAVI) Felix Just,
Krishna Padmanabhan,
Parth Jinger,
Amanda Borrow,
Rüdiger Smolnik,
Eva-Maria Fronk,
Neelam Yadav,
Sergei Krivtcov,
Stas Zakharkin,
Martin Unverdorben,
Asmir Vodencarevic		 source 6
PharmaSUG 2025 SDTM Transformation through Artificial Intelligence (AI) and Human in the Loop (HITL): Lessons Learnt from Abbvie Case Study Aman Thukral,
Sanjay Bhardwaj		 source 2
PharmaSUG 2025 The Current State of Teaching Biostatistics in Academia: Challenges and Software Solutions Lida Gharibvand source 5
PharmaSUG 2025 Unleashing Oncology Revenue Insights: Advanced Forecasting Frameworks in Action Naquan Ishman,
Dave Kestner		 source 10
PharmaSUG 2025 You don-t have to handle the truth! Three Things to Know about Synthetic Data Catherine Briggs,
S. Robert Collins,
Sundaresh Sankaran		 source 7
PHUSE US 2025 "Will AI Render Programmers Obsolete?" Kishore Pothuri,
Ajay Gunda		 source 5
PHUSE US 2025 Accelerating Patient Safety with Knowledge Graphs: Lessons from a Successful Implementation Partha Bhattacharjee,
Kirti Aggarwal		 source
presentation source		 10
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
PHUSE US 2025 Applied Strategy: The Human Touch to Success Shereen Anisa Khwajazada source
presentation source		 3
PHUSE US 2025 Big Data Analytics: Unlocking Insights from Vast Clinical Datasets Bill Qubeck,
Kala Shivalingaiah		 source
presentation source		 16
PHUSE US 2025 Evaluation of Open-Source Technologies in Clinical Trial Reporting Jaimin Patel source
poster source		 7
PHUSE US 2025 From Data Manager to Data Scientist: Navigating the Future of Data Management in Clinical Trials Debra Anderson source
presentation source		 6
PHUSE US 2025 From Manual to Machine: Leveraging Best-of-Breed Approaches in Clinical Data Management Joseph Lebers source
presentation source		 10
PHUSE US 2025 Future-Proofing Clinical Data Standards: Preparing for AI and Machine Learning Shivoy Pandita source
presentation source		 8
PHUSE US 2025 Health Equity Explorer: Technical Deep Dive into an R Shiny Application for Revealing Structural Inequity and Systemic Racism in Healthcare Pavel Demin,
William G. Adams		 source
presentation source		 7
PHUSE US 2025 Innovative Cloud Solution for Advanced Image Analysis Gopal Joshi,
Sanjay Koshatwar		 source
presentation source		 9
PHUSE US 2025 Intelligent Automation in Anonymisation for CTIS Submission Pinku Hooda,
Hiteshkumar Kanaiyalal Raval		 source
presentation source		 11
PHUSE US 2025 Interactive Dashboards - Empowering Clinicians to Generate Reports Instantly Inderjeet Arora source
presentation source		 8
PHUSE US 2025 Leadership Presentations: How and Why, Statistical Programming Leaders Need to Plan for Next Generation Statistical Programming [presentation] Francis Kendall source 29
PHUSE US 2025 Machine Learning-Enabled Personalised Medicine for Rapidly Evolving Infectious Diseases Jonathon Schisler,
Scott McClain		 source
presentation source		 8
PHUSE US 2025 Pivoting to AI: Turning Career Transition into Innovation Rick Stephens,
Good Gorilla		 source
poster source		 5
PHUSE US 2025 Practical Evaluation of AutoML Platforms for Clinical Data Science Shubhranshu Dutta source
poster source		 4
PHUSE US 2025 Predictive Analytics for Adverse Event Underreporting Steven A. Gilbert source
presentation source		 10
PHUSE US 2025 Python's Future in Clinical Trials: Innovations and Collaborative Advancements Shweta Shukla,
Sohan Lal		 source
presentation source		 10
PHUSE US 2025 Real-World Data - Analysis-Ready Datasets: A Standardised, Specialised and Innovative Data Solution for Efficient Real-World Data Analysis Nayan Chaudhary,
Navdeep Pal		 source
presentation source		 12
PHUSE US 2025 Streamlining Machine Learning Modelling in Neuroscience Clinical Trials Through Cross-Functional Collaboration Jing Dai source
presentation source		 5
PHUSE US 2025 Synthetic Data Generation: A Process Paradigm Sundaresh Sankaran source
presentation source		 9
PHUSE US 2025 Synthetic Data Will Save the Day: Fact or Fiction Sherrine Eid source
presentation source		 7
PHUSE US 2025 Three Pointers for Effective and Accurate LLM Integration! Sundaresh Sankaran,
Sherrine Eid		 source
presentation source		 9
PHUSE US 2025 Transforming Clinical Trials with AI-Driven Protocol Optimization and Next-Gen Statistical Programming Ravindra Shukla source
presentation source		 8
PHUSE US 2025 Transforming Clinical Trials: Leveraging Bayesian Statistics in Innovative Trial Design, Analysis, Applications and Navigating Challenges Jaskaran Singh Saini source
presentation source		 11
PHUSE US 2025 Wearable Technology: Enhancing Patient Monitoring and Real-World Evidence Bill Qubeck,
Sridhar Vijendra		 source
presentation source		 15
MWSUG 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 7
MWSUG 2024 Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
MWSUG 2024 Introduction to Machine Learning in SAS [presentation] Melodie Rush source 71
MWSUG 2024 Teaching Your Computer to See: Using Computer Vision to Detect Defects [presentation] Scott Koval source 23
PHUSE EU 2024 Artificial Intelligence Potential Use Cases in Clinical Data Engineering Deepak Pakalapati,
Mounika Pillamarapu		 source
presentation source		 8
PHUSE EU 2024 Driving Efficiency and Automation in TFL Generation: A Case Study of Establishing an Oncology TFL Library and Analysis Results Metadata Repository [poster] Salil Parab,
Bhavin Busa		 source 1
PHUSE EU 2024 Hi. I Am a Chatbot. How Can I Help You? Enhancing the Reliability and Traceability of Large Language Models Vicky Poulsen,
Anja Vrecer		 source
presentation source		 9
PHUSE EU 2024 Leveraging 'Ensemble' Machine Learning Models to Drive Automation of Specification Generation and Data Mapping in Clinical Trial Data Submission Venu Mallarapu source
presentation source		 10
PHUSE EU 2024 Leveraging Data Science and Analytics to Optimise Clinical Trial Execution Melanie Hullings source
presentation source		 4
PHUSE EU 2024 Navigating the Data Storm: Strategic Mastery for Sustaining Technical Excellence Amid Industry Shifts Mahdi About source
presentation source		 8
PHUSE EU 2024 SAS Custom Step & R-Runner: Develop any application you can dream about Olivier Bouchard source
presentation source		 12
PHUSE EU 2024 Unlocking the Potential of Unstructured Data in Real-World Evidence: Leveraging Text for Enhanced Patient Classification and Regulatory Validation Georgios Panagiotakis,
Maria Puri		 source
poster source		 10
SESUG 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 7
SESUG 2024 Comparative Analysis of Sentiment Prediction Methods Using Aspects in Consumer Reviews Harish Palakurthi source 8
SESUG 2024 Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
SESUG 2024 Introduction to Developing Neural Nets David B. Horvath source 17
SESUG 2024 Unlocking Insights: Harnessing Supervised Machine Learning for Advanced Data Analysis Vindhya Hegde source 23
WUSS 2024 Benefits, Challenges, and Opportunities with SAS and Open-Source Software (OSS) Integration [presentation] Kirk Paul Lafler,
Ryan Paul Lafler,
Joshua J. Cook,
Stephen B. Sloan,
Anna T. K. Wade		 source 33
WUSS 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 6
WUSS 2024 Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
WUSS 2024 From Keys to Credit: A Deep Dive into Homeownership's Influence on Loan Quality Yi-Che Chen,
Debanik Chakraborty		 source 15
WUSS 2024 How does SAS Viya and Open Source Integrate [presentation] Melodie Rush source 66
WUSS 2024 X-Ray Image Classification with Neural Networks Riley Rutan,
Eric C Braga,
Xinyu Du		 source 10
PharmaSUG CN 2024 Application of Natural Language Processing with R in clinical trials Feifeng Zhou,
Zhenchao Chen		 source 11
PharmaSUG CN 2024 Interactive Presentation with Python Streamlit Wei (Tony) Zhang source 7
PharmaSUG 2024 Advancing the Maturation of Standardized CRF Design Sugumaran Muthuraj,
Rubha Raghu		 source 9
PharmaSUG 2024 AI and the Clinical Trial Validation Process - Paving a Rocky Road Steve Ross,
Ilan Carmeli		 source 7
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 Bridging AI and Clinical Research: A New Era of Data Management with ChatGPT Illia Skliar source 12
PharmaSUG 2024 MLNR or Machine Learning in R Chuck Kincaid source 23
PharmaSUG 2024 Navigating Success: Exploring AI-Assisted Approaches in Predicting and Evaluating Outcome of Clinical Trials and Submissions Ruohan Wang,
Chris Qin		 source 9
PharmaSUG 2024 Reimagining reporting and Visualization during clinical data management Vandita Tripathi,
Manas Saha		 source 9
PharmaSUG 2024 Safety Signals from Patient Narratives PLUS: Augmenting Artificial Intelligence to Enhance Generative AI Value Sherrine Eid,
Sundaresh Sankaran		 source 14
PharmaSUG 2024 Simplifying Edit Check Configuration Vandita Tripathi,
Manas Saha		 source 7
PharmaSUG 2024 Unraveling the Layers within Neural Networks: Designing Artificial and Convolutional Neural Networks for Classification and Regression Using Python-s Keras & TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
PHUSE US 2024 A Data Manager's Experience with AI/ML Adoption and Efficiency Diane Lacroix source
presentation source		 4
PHUSE US 2024 A Holistic Approach to Trustworthy Artificial Intelligence (AI) Tara Chavda,
Qingying Ally Lu		 source
presentation source		 6
PHUSE US 2024 Applying Machine Learning for Predicting Potential Adverse Events from Real-World Data Samiul Haque source
presentation source		 6
PHUSE US 2024 Codeless Queries: Harnessing AI to Translate Clinical Trial Questions into Custom Listings Through Intuitive UI Interactions Aditya Gadiko source
presentation source		 7
PHUSE US 2024 Digital Protocol Vision ... How Digital Information Can Transform and Automate Our Processes [presentation] Bill Qubeck,
Chris Decker		 source 27
PHUSE US 2024 Enabling the Breakthroughs of Tomorrow: The Data Lakehouse for Clinical Trials Venu Mallarapu source
presentation source		 12
PHUSE US 2024 Evaluating Safety Compliance in Clinical Trials by Leveraging Patient Narratives and Deep Learning Sherrine Eid,
Sundaresh Sankaran		 source
presentation source		 9
PHUSE US 2024 Exploring the Potential Use of Generative AI in the Regulatory Review Process [presentation] Qingying Ally Lu,
Kathryn Matto		 source 19
PHUSE US 2024 Novel Analytics for Risk-Based Monitoring: Harnessing Natural Language Processing for Query Data to Enhance and Optimise Data Quality Lawrence Dennison-Hall,
Mariia Lapaeva		 source
presentation source		 14
PHUSE US 2024 Real-World Application of Natural Language Processing: More Than Just Sentiment Analyses Scott McClain source
presentation source		 7
PHUSE US 2024 Risk-Based Monitoring Using AI/ML Detection of Systematic Bias in Clinical Data Kostiantyn Drach,
Sergey Glushakov		 source
presentation source		 12
PHUSE US 2024 Utilising Machine Learning Algorithms to Detect the Outlier or Inconsistencies in the Analysis Results in Datasets and Summary Reports Weiwei Xu,
Linshan Yuan		 source
poster source		 5
PHUSE EU 2023 Detroit, Michigan: A Case Study for DEI Via Decentralised Clinical Trials (DCTs) Mark Rothe source
presentation source		 26
PHUSE EU 2023 Exploring Antidepressant Side Effects in the UK Through Topic Modelling and Social Media Analysis Khalid Ismail,
Amna Dridi		 source
presentation source		 13
PHUSE EU 2023 Get the Full Picture of Your Data with SAS Andy Bayliss source
presentation source		 13
PHUSE EU 2023 GPT (Generative Pretrained Transformers) and LLM (Large Language Models) have generated a lot of attention since their inception in early 2023 with the advent of OpenAI GPT3.5, then GPT4.0 Jerome Vetillard,
Mark Lambrecht		 source
presentation source		 16
PHUSE EU 2023 Heading to Base Camp On Our Way Up the Open-Source Mountain... Andy Nicholls source
presentation source		 4
PHUSE EU 2023 Leveraging Real-World Data to Provide Deeper Insight into Treatment Effects in Clinical Trials Soundarya Palanisamy,
Sherrine Eid		 source
presentation source		 6
PHUSE EU 2023 Risk-Based Monitoring in Clinical Trials with Machine-Learning-Powered Anomaly Detection Zaid Al-Jubouri,
Ece Kavalci		 source
presentation source		 11
PHUSE EU 2023 The Evolving Role of Statistical Programmers in the Pharmaceutical Industry: The Impact of Artificial Intelligence Cindy Marabotti source
poster source		 8
PHUSE EU 2023 The Human in the Loop: Accelerating AI/ML Efficiencies for Clinical Data Achilleas Zaras source
presentation source		 4
WUSS 2023 Introduction to Machine Learning - Descriptions and Best Practices Jim Box source 13
WUSS 2023 Leveraging Teradata ClearScape Analytics to Improve ROI [presentation] Gregory Goralski,
Paul Segal		 source 40
WUSS 2023 Unraveling the Layers within Neural Networks: Designing Artificial and Convolutional Neural Networks for Classification and Regression Tasks using TensorFlow in Python Ryan Paul Lafler,
Anna T. K. Wade		 source 24
SESUG 2023 Designing Against Bias: Identifying and Mitigating Bias in Machine Learning and AI David J. Corliss source 9
SESUG 2023 Predicting Employees' Preference for Remote or On-site Jobs Livingstone Gadzanku source 10
SESUG 2023 The Best of Both Worlds: Analytics with SAS Viya and Python Peter Styliadis source 63
PharmaSUG 2023 Bringing it All Together: Applying the Analytics Life Cycle for Natural Language Processing to Life Sciences Sundaresh Sankaran,
Tom Sabo		 source 15
PharmaSUG 2023 Deep Learning to Classify Adverse Events from Patient Narratives Tom Sabo,
Sundaresh Sankaran,
Qais Hatim		 source 11
PharmaSUG 2023 Exploring the spread of COVID-19 in the United States using unsupervised graph-based machine learning Kostiantyn Drach,
Iryna Kotenko		 source 39
PharmaSUG 2023 Metaverse in the Healthcare - More Real than imagined! Aman Bahl source 14
PharmaSUG 2023 Patient's Journey using Real World Data and its Advanced Analytics Kevin Lee source 4
PharmaSUG 2023 What is Machine Learning, anyway? Jim Box source 11
PharmaSUG 2023 You can REST easy validating Synthetic Data Ben Howell,
Ben E. Bocchicchio		 source 9
PHUSE US 2023 A Pragmatic Approach to Data Cleaning - Decisions in Selecting When to Apply AI/ML [presentation] Robert Musterer,
Alison Banda		 source 15
PHUSE US 2023 Approachable and Scalable Web Application Solutions Using Shiny for Python and R Shiny in the Pharmaceutical Industry Vikash Jain,
Denny Sebastian		 source
presentation source		 9
PHUSE US 2023 Balance Between Humans and Machines - How NLP Helps Translate Text Specification to Code, and Vice Versa Hao (Harry) Chen,
Jaimin Patel		 source
presentation source		 9
PHUSE US 2023 EI (Emotional Intelligence) vs AI (Artificial Intelligence) exploring the potential of human emotions in an artificially driven virtual world Priya Venkatesan Iyer source
presentation source		 3
PHUSE US 2023 Introduction to Machine Learning Models, How to Train Them and What to Do if They Become Sassy [presentation] Thomas Kalfas source 34
PHUSE US 2023 Realtime tuning of the ADaM parameters with an example of the big actigraphy dataset Mehrnoosh Oghbaie source
presentation source		 8
PHUSE US 2023 The Role of Open Source for Data Science, Engineering and Programming Teams in the Pharma Industry [presentation] Tadeusz Lewandowski,
Axel Muehlig		 source
video		 17
PHUSE EU 2022 Automate to Accelerate: Saama's Smart Auto Mapper Mike Collinson source
presentation source		 5
PHUSE EU 2022 Deep Learning to Classify Adverse Events from Patient Narratives [presentation] Qais Hatim,
Tom Sabo		 source
video		 12
PHUSE EU 2022 Effective NLP API Access to Unstructured Text for Downstream Analysis and Models in Pharma: Bench to Bedside [presentation] Jane Reed source
video		 26
PHUSE EU 2022 From Stored Process to Job Execution - Build Your SAS (Lego) App [presentation] Olivier Bouchard source
video		 14
PHUSE EU 2022 Governance and Cataloguing of Analytics Assets [presentation] Paul McCaffery,
Clement Benemara		 source 15
PHUSE EU 2022 Harnessing AIML Technologies to Expedite Anonymisation of Unstructured Data: Implications for the EU CTR Niamh McGuinness,
Muhammad Oneeb Rehman Mian		 source
presentation source		 4
PHUSE EU 2022 Statistical Methods for Finding Human Bias in Machine Learning Models [presentation] Jim Box source 19
PHUSE EU 2022 The Future-proof Data Fabric for Digital and Decentralised Trials [presentation] Venu Mallarapu source 12
SESUG 2022 Don't be so One-Dimensional: How to Engineer Multi-Dimensional, High Cardinality Categorical Inputs for Machine Learning Aleksandar Nikolic source 25
SESUG 2022 To Lend, or Not to Lend, That Is the Question! Evaluating Loan Application with Machine Learning Rafae Abdullah,
Sucharitha Vallabhaneni,
Jaideep Muley		 source 17
SAS Explore 2022 Analytics Innovation in AML [video] Beth Herron source
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SAS Explore 2022 Improving Manufacturing Operations: Embedding Computer Vision in an Analytic Pipeline [video] Sanjeev Heda source
SAS Explore 2022 Learn to Play and Play to Learn with SAS Viya [video] Yi Sun,
Roberto Torres,
Kate Ulveling		 source
youtube
SAS Explore 2022 Managing SAS Viya 4 at Scale in the Cloud [video] Jelle Daemen source
SAS Explore 2022 More Analysis, Less Coding with SAS Viya for Learners [video] Linda Jordan source
youtube
SAS Explore 2022 Real-Time Solar Farm Monitoring Leveraging Streaming Analytics Framework [video] Steven Enck source
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SAS Explore 2022 SAS Model Studio: Building ML, Text Analytics and Forecasting Pipelines [video] Wendy Czika source
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SAS Explore 2022 Software Workshop: End-to-End Machine Learning in Model Studio [video] Andy Ravenna source
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SAS Explore 2022 Teaching the Computer to See for Those Who Cannot [video] Jonathan Moreno Narvaez source
SAS Explore 2022 Using Machine Learning to Enhance Short-Term Demand Sensing [video] Charlie Chase source
WUSS 2022 Attribute Reduction for Continuous Dependent Variables in SAS Alec Zhixiao Lin source 20
WUSS 2022 What's your model really doing? Understanding human biases in Machine Learning. Jim Box source 5
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
PharmaSUG 2022 Generating statistical Tables, Listings, and figures using machine learning, deep learning, and NLP techniques that provide more efficiency to the statistical programming process Farha Feroze,
Ilango Ramanujam		 source 3
PharmaSUG 2022 Leading into the Unknown? Yes, we need Change Management Leadership Kevin Lee source 3
PharmaSUG 2022 Potential features analysis affect Covid-19 spread Yida Bao,
Philippe Gaillard		 source 11
PharmaSUG 2022 What-s your model really doing? Human bias in Machine Learning Jim Box source 4
PHUSE US 2022 Bias in Machine Learning: Your Responsibilities as a Programmer [presentation] Jim Box source 34
PHUSE US 2022 Machine Learning in R to Predict Outcomes from Biomarker Data [presentation] Benno F. Kurch,
Prakash Dev		 source
video		 21
PHUSE US 2022 Using AI-based Technology to Accelerate Clinical Trial Data Sharing and Reuse [presentation] Ron Kaine,
Thomasin Element		 source
video		 33
PHUSE EU 2021 AI-powered Drug Development: Accelerating Trials with AI & ML [presentation] Raj Indupuri source
video		 10
PHUSE EU 2021 Augmenting Therapeutic Effectiveness through Novel Analytics (ATHENA) - A Public-Private Partnership Project Funded by the Flemish Government (VLAIO) [presentation] Ploingarm Petsophonsakul,
Wouter Botermans		 source
video		 14
PHUSE EU 2021 EMA Panel Discussion: What Might the Future Landscape of Submitting Data Look Like in 2025 ? [presentation] Eftychia-Eirini Psarelli,
Jesper Kjær		 source 11
PHUSE EU 2021 New Starters Session: The Secret Sauce to Start in Our Industry [presentation] Amritpal Singh,
Lucie Bowden		 source 7
PHUSE EU 2021 Software Demonstration: Freedom or Regulatory Compliance? Have Both, in a Language-agnostic Statistical Computing Environment - Sponsored by Entimo [presentation] Jörn Bilow source 14
PHUSE EU 2021 The Concept of IoT - The Next Generation of Statistical Computing Platform [presentation] Huadan Li,
Zhiping Yan		 source
video		 20
PHUSE EU 2021 Tips and Tricks for Being More Productive with SAS Studio [presentation] Andy Bayliss source
video		 32
PHUSE EU 2021 Visualising Knowledge Graphs: Information Solution or Ball of Confusion? [presentation] Tim P. Williams source
video		 57
SESUG 2021 Developing Ethical Data Use and Users Kelly D. Smith source 7
PHUSE US 2021 Application of Machine Learning (ML) in Tumor Detection in Oncology Study Animesh Patel source
video
presentation source		 5
PHUSE US 2021 CO Hands-on Workshop: COVID Data Access to Analysis with Power BI [presentation] Aditya Gadiko,
Christopher C. Hurley		 source
video		 94
PHUSE US 2021 Exploring Categorical Data Using Unsupervised Graph-based Machine Learning [presentation] Irina Kotenko,
Kostiantyn Drach		 source
video		 34
PHUSE US 2021 Hydrating a Data Lake to Power Innovation - Enabling Pharmaceutical Companies to Automate Data De-identification for Secondary Use [presentation] Cathal Gallagher,
Kristin McDougall		 source
video		 16
PHUSE US 2021 Integration of Translational and Longitudinal Clinical Trial Data Using Machine Learning to Gain Predictive Insights from Legacy Studies [poster] Arpitha Hanumanthiah,
Rajalaxmi Sharanappa		 source 1
PHUSE US 2021 Is it ART? An Application of TransCelerate's MoA Framework for Assessing Accuracy, Reproducibility and Traceability in Novel Software Implementations [presentation] Michael S Rimler,
Tim Kuhn		 source 20
PHUSE US 2021 Next Evolution Step(s) for Statistical Programmers: "Clinical Data Scientist" or "Clinical Data Analytics Engineer"? [presentation] Amar Mahidadia,
Sascha Ahrweiler		 source
video		 16
PHUSE US 2021 Real-Time Clinical Trial Analytics Using Automation with IBM Clinical, Medidata Rave and Datacise [presentation] Amritpal Singh source
video		 10
PHUSE US 2021 SDTM Mapping and Conversion Using NLP [presentation] Eric Weising source
video		 16
PHUSE US 2021 Standing Room Only Presentation: ML08: You Are the Company You Keep: Converting Words to Numbers Using Text Embeddings [presentation] Michael Stackhouse source 23
PharmaSUG 2021 Application to Automate Clinical Study Report Generation using AI Farha Feroze source 5
PharmaSUG 2021 How I became a Machine Learning Engineer from a Statistical Programmer Kevin Lee source 4
PharmaSUG 2021 How simulation will impact the future of Healthcare & Life Sciences. Pritesh Desai,
Allison Sealy,
Shawn Tedman,
Lois Wright,
Bahar Biller		 source 14
PharmaSUG 2021 Integrating Digital Images for Ophthalmology Trials using Machine Learning Techniques for Image Analysis. Shubhranshu Dutta source 13
PharmaSUG 2021 Machine Learning Programming Workshop - Natural Language Processing (NLP) Kevin Lee source 10
PharmaSUG 2021 Random Forest Machine Learning Application using R Shiny for Project Timeline Forecasting Hrideep Antony,
Aman Bahl		 source 8
SGF 2021 Auditing Algorithms: The Need for New Tools to Combat Bias in Artificial Intelligence Jason Brinkley source
presentation		 6
SGF 2021 Bridging the Gap Between Legacy SAS and SAS Viya at the Centers for Medicare and Medicaid (CMS) Richard Andrews,
Manuel Figallo-Monge,
Kevin Boone,
Prakash Subramanian,
Logan Perry		 source 21
SGF 2021 Deep Learning to Classify Adverse Events from Patient Narratives [presentation] Qais Hatim,
Tom Sabo		 source 19
SGF 2021 Developing a SAS Deep Learning MedDRA encoder (MedDRA-DeepCoder) for Patient Narratives Qais Hatim source 11
SGF 2021 Fundamentals of Machine Learning [presentation] Labeeb Khan source 27
SGF 2021 Haste Makes Waste: Don't Ruin Your Reputation With Hasty Regression Steven C. Myers source
presentation
sas		 39
SGF 2021 Let's enjoy the computer vision using SAS Viya! Shinjo Yada,
Ryuji Uozumi		 source 19
SGF 2021 Midsize Banks and Credit Unions Level the Playing Field With AI and Advanced Analytics [presentation] Lawrence Dennison-Hall source 9
SGF 2021 Next-Generation Data Mining and Machine Learning: Python and SAS Together at Last George S. Habek,
Suman Kumar Das		 source
presentation		 24
SGF 2021 PKSI Advanced Banking Analytics [presentation] Larry Hall source 6
SGF 2021 Scalable and secure cloud infrastructure from your idea to reality delivered in hours, not months Ivan Gomez source 8
SGF 2021 The Potential of Simulation Technologies: Multi-Agent Simulation and Reinforcement Learning Satoki Fujita,
Shogo Miyazawa,
Ryo Kiguchi,
Yuki Yoshida,
Katsunari Hirano,
Yoshitake Kitanishi		 source
presentation		 14
PHUSE EU 2020 AI-supported and Demand-oriented Data Integration of Clinical Studies [presentation] David Hipp,
Kai Spielmann		 source
video		 18
PHUSE EU 2020 An Introduction to the Use of BigQuery for the Life Sciences [presentation] Claudio Garutti source
video		 14
PHUSE EU 2020 Deploying Machine Learning in Data Management [presentation] Sheila Rocchio source
video		 11
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 How I Changed the Habits of a Lifetime with SAS Studio and SAS Viya [presentation] Andy Bayliss source
video		 41
PHUSE EU 2020 Last Mile Problem to Manage Data Transformation for Analysis & Reporting [presentation] Deven Babre,
Rajaram Venkatesan		 source
video		 19
PHUSE EU 2020 Migrating Your Clinical Development Environment to the Cloud [presentation] Antoine Maison,
Daniel Christen		 source
video		 19
PHUSE EU 2020 SDTM Mapping and Conversion Using ML/NLP [presentation] Eric Weising,
Farha Feroze		 source
video		 15
PHUSE EU 2020 Understanding the Spread of COVID-19 in the United States Using Topology and Machine Learning for Time Series Iryna Kotenko,
Kostiantyn Drach		 source
video
presentation source		 32
PHUSE EU 2020 Use Cases of Google Sheets in Programming Applications [presentation] Carina Hillenbach source
video		 16
PHUSE EU 2020 Utilising Automation for Mass Model Creation to Improve the Economics of Machine Learning Projects [presentation] Alex Tsui source
video		 18
SESUG 2020 Application and comparison with several types of Ensemble Algorithms Yida Bao,
Philippe Gaillard		 source 6
SESUG 2020 Joining SAS and a Complex, Sparsely Populated Database for Machine Learning/Data Mining Thomas E. Billings source 9
SESUG 2020 Model Comparison of Machine Learning Techniques to detect signs of Penetrating Abdominal and Pelvic Injuries using Base JMP and R Integration Melvin T. Alexander source 25
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 Apply the Key Ideas from Andrew Ng's Machine Learning Certification (Coursera) in SAS Viya Petri Roine source 9
SGF 2020 Architecting SAS Analytics Edge-to-Cloud Solutions on Hewlett Packard Enterprise Infrastructure Mark Barnum,
Kannan Mani		 source 24
SGF 2020 Automation in SAS Visual Data Mining and Machine Learning Wendy Czika source 26
SGF 2020 Bringing Computer Vision to the Edge: An Overview of Real-Time Image Analysis with SAS Maggie Du source 15
SGF 2020 Common Points of Compromise Detection Using Network Analysis Prathaban Mookiah source 7
SGF 2020 Deploying Computer Vision by Combining Deep Learning Action Sets with Open-Source Technology Jonny McElhinney,
Duncan Bain,
Haidar Altaie		 source 20
SGF 2020 Deploying Machine Learning Models in an Anti-Money Laundering (AML) Program Beth Herron,
Saurabh Duggal		 source 11
SGF 2020 Developing Credit Scores with Telco Data Using Machine Learning and Agile Methodology Luciano Diettrich source 14
SGF 2020 Enhancing Academic Teaching of Data Science with SAS Viya for Learners Stefan Dimitrov Stoyanov source 30
SGF 2020 Evolutionary Feature Selection for Machine Learning Nandini Rakala source 12
SGF 2020 Expanding SAS Grid Manager for Platform: Lessons from the Field Bill McMillan,
Qingda Want		 source 19
SGF 2020 Explanatory Machine Learning Model Plots for Epidemiological and Real-World Evidence Studies David Olaleye source 22
SGF 2020 From AI to XI: It all starts with 'HI' Tho H. Nguyen source 7
SGF 2020 From Silos to Ecosystem - Evolution of Analytical Platforms at Elisa Corporation Prasanna Pandian 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 Build a Text Analytics Model in SAS Viya with Python Nate Gilmore source 13
SGF 2020 How to Explain Your Black-Box Models in SAS Viya Funda Güneş source 26
SGF 2020 How to Maintain Happy SAS Viya Users Margaret A. Crevar source 11
SGF 2020 Human Bias in Machine Learning: How Well Do You Really Know Your Model? Jim Box source 14
SGF 2020 Hybrid Marketing, Campaign Management, and Analytics' Last Mile Using SAS Customer Intelligence 360 Suneel Grover source 32
SGF 2020 IBM Power Systems for SAS Empowers Advanced Analytics Harry Seifert,
Laurent Montaron		 source 12
SGF 2020 Improving Facility Management through Machine Learning Christopher Beall source 10
SGF 2020 Lessons Learned from Managing SAS Viya at Scale in the Cloud Jelle Daemen,
Tom Dogger		 source 6
SGF 2020 Network Pattern Match for Identifying Fraud with SAS Visual Investigator James Morris,
Nicholas Ablitt		 source 17
SGF 2020 Neural-Network Based Forecasting Strategies in SAS Viya Steven C. Mills source 14
SGF 2020 Optimizing Collection Strategies with SAS Intelligent Decisioning Luiz Kauffmann,
Sunny Zhang		 source 10
SGF 2020 Optimizing Supply Chain Robustness through Simulation and Machine Learning Bahar Biller,
Jinxin Yi		 source 9
SGF 2020 Predict Freezes in Natural Gas Pipelines by Using SAS Machine Learning and Python Scikit-Learn [presentation] Bingi Arnold Kanagwa M.S,
Ho-Chang Chae		 source 8
SGF 2020 SAS Grid Manager and SAS Viya: A Strong Relationship Edoardo Riva source 20
SGF 2020 SAS on an Amazon Web Services Data Lake: Enabling Access to Data Lakes on SAS Dilip Rajan source 11
SGF 2020 Show Me the Money! Preparing Economics Students for Data Science Careers Steven C. Myers source 19
SGF 2020 Sound Insights: A Pipeline for Information Extraction from Audio Files Biljana Belamaric Wilsey,
Xiaozhuo Cheng		 source 8
SGF 2020 The 4 Ws: A Strategy Session on SAS Customer Intelligence 360 Personalized Consumer Experiences Jaclyn Coate source 10
SGF 2020 The New solveBlackbox Action in SAS Optimization 8.5 Edward P. Hughes source 14
SGF 2020 The Seven Most Popular Machine Learning Algorithms for Online Fraud Detection and Their Use in SAS Patrick Maher source 6
SGF 2020 Tips for Writing Custom SAS Studio Tasks That Use CAS Actions for Advanced Analytics Brian R. Gaines source 16
SGF 2020 Using a Microsimulation to Evaluate Population and Policy Changes on Program Integrity Priorities Jonathan Smith,
Meghan Beckowski,
Michael Greene,
Andrew Kemple,
Bil Westerfield		 source 15
SGF 2020 Using Machine Learning and Demand Sensing to Enhance Short-Term Forecasting for CPGs Kedar Prabhudesai source 10
SGF 2020 Using Python with Model Studio for SAS Visual Data Mining and Machine Learning Jagruti Kanjia source 35
SGF 2020 What's New in SAS Visual Data Mining and Machine Learning: From a Programmer's Perspective Tao Wang source 13
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
PharmaSUG 2020 Automate your Safety tables using Artificial Intelligence & Machine Learning Roshan Stanly,
Ajith Baby Sadasivan,
Limna Salim		 source 8
PharmaSUG 2020 Detecting Side Effects and Evaluating the Effectiveness of Drugs from Customers' Online Reviews using Text Analytics, Sentiment Analysis and Machine Learning Models Thu Dinh,
Goutam Chakraborty		 source 22
PharmaSUG 2020 Gradient Descent: Using SAS for Gradient Boosting Karen Walker source 11
PharmaSUG 2020 How to let Machine Learn Clinical Data Review as it can Support Reshaping the Future of Clinical Data Cleaning Process Mirai Kikawa,
Yuichi Nakajima		 source 9
PHUSE US 2020 A Comparison of Machine Learning Algorithms for Binary Classification of Free-text Fields Using SAS, R, and Python Michael S Rimler source
presentation source		 12
PHUSE US 2020 A Journey Through End to End Data Flow Marcin Makowski,
Stayce Murray		 source
presentation source		 12
PHUSE US 2020 A Real-world View of Cataracts Jeffrey Headd,
Walter Cedeno		 source
presentation source		 11
PHUSE US 2020 Accelerating Translational Research by Leveraging AI and Machine Learning Leveraging AI source
presentation source		 9
PHUSE US 2020 Artificial Intelligence (AI)-enhanced Precision Medicine Drug Development Mohammad Afshar source 9
PHUSE US 2020 Assessment of Machine Learning Methods in Coding of Concomitant Medications in Clinical Trials Sanna Herrgård,
Carla Gil,
Ingrid Holst,
John Holmer Nielsen		 source
presentation source		 8
PHUSE US 2020 Data Review of RECIST Criteria using ML/AI A Proof of Concept Example Priya Gopal source
presentation source		 7
PHUSE US 2020 Data Science Project (Educating for the Future Working Group) Aldir Medeiros Filho,
Sascha Ahrweiler		 source
presentation source		 10
PHUSE US 2020 Demystifying the Data World of Biobanks with Machine Learning Bob Engle,
Himanshu Pandya		 source
presentation source		 6
PHUSE US 2020 Feature of SDTM Mapping and Conversion Using NLP Eric Weising,
Shiva Katepalli		 source
presentation source		 3
PHUSE US 2020 How GSK Tech is Democratizing Data Science Pragathi Venkata source
presentation source		 7
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 US 2020 Machine Learning for CDISC Specification Recommendations S. Preston Burns source
presentation source		 7
PHUSE US 2020 Machine Learning-AI is the Future - What Now? Priyanka Adusumilli,
Priyank Patel		 source
poster source		 8
PHUSE US 2020 Metadata-based Auto-programming Process - Part 3: Virtual AI Assistant to Automate - TLG Generation Harry Chen,
Shobha Rani		 source
presentation source		 14
PHUSE US 2020 Natural Language Processing for Enhanced Treatment Decision Phani Ponnapalli,
Subrahmanyam Rayaprolu		 source
presentation source		 10
PHUSE US 2020 R & Python for Clinical Workflows Philip Bowsher source 13
PHUSE US 2020 R for Deep Learning with Tensorflow with Applications in Cancer Immunotherapy Philip Bowsher source 14
PHUSE US 2020 The Elusive Goal of Automation in SDTM Mapping: A CRO perspective Sridhar Vijendra,
Ephicacy Lifescience		 source
presentation source		 6
PHUSE US 2020 Using Machine Learning for Automated Monitoring of Social Media for Pharmacovigilance Rohit Banga source
presentation source		 7
PHUSE US 2020 Using RWD in the Form of EHR Data to Predict Adverse Events and Outcomes Corey Young,
Susan Olson		 source 4
PHUSE US 2020 Virtual Assistant for Conversational Experience with Clinical Data Amit Gulwadi,
Srinivasan Anandakumar		 source 6
PHUSE EU 2019 AI-assisted Code Reviews Igor Khorlo source
presentation source		 7
PHUSE EU 2019 Do You Know What Your Model is Doing? A Look at How Human Bias Influences Machine Learning Jim Box,
Elena Snavely		 source
presentation source		 3
PHUSE EU 2019 ML07 Interpreting Black-box Machine Learning Models: Real-world Evidence Examples and Application [presentation] Jim Box source 24
PHUSE EU 2019 Oracle Analytics Cloud Mike Collinson source
presentation source		 8
PHUSE EU 2019 R or Python? Dilemma, Dilemma Elsa Lozachmeur,
Nicolas Dupuis		 source
presentation source		 18
PHUSE EU 2019 SMART RPA - powered by Machine Learning Charan Kumar Kuyyamudira Janardhana source
presentation source		 10
PHUSE EU 2019 Sub-population Detection Using Graph-based Machine Learning Sergey Glushakov,
Kostiantyn Drach		 source 28
PHUSE EU 2019 Symbolic Regression: Survival of the Best Fit Hector Leitch source
presentation source		 9
PHUSE EU 2019 The Impact of AI, RWE, Precision Medicine and Mobile Health Technology on Streamlined Clinical Trials Stijn Rogiers,
Olivier Bouchard		 source
presentation source		 11
PHUSE EU 2019 Using Image recognition in production support Thomas Dekelver source
presentation source		 8
SESUG 2019 Advanced Statistical Modeling within Machine Learning and Big Data Analytics Niloofar Ramezani,
George Mason		 source 16
SESUG 2019 Hybrid Rare Event Sampling Technique Ross Bettinger source 15
SESUG 2019 Summarizing some conventional methods to classify a binary target Yida Bao,
Philippe Gaillard		 source 10
MWSUG 2019 Classifying Risk in Life Insurance using Predictive Analytics Sai Gopi Krishna Govindarajula 6
MWSUG 2019 Deploying SAS Viya Docker images to the cloud - a step by step guide Alan Zablocki 25
MWSUG 2019 Deploying SAS Viya to Docker - a practical guide for data scientists Alan Zablocki 19
WUSS 2019 Bayesian Nonparametric Clustering in SAS Hend Aljobaily source 9
PharmaSUG 2019 An Application of Supervised Machine Learning Models on Natural Language Processing: Classifying QC Comments into Categories Xiaoyu Tang,
Todd Case		 source 10
PharmaSUG 2019 Artificial Intelligence and Real World Evidence - it takes two to tango Charan Kumar Kuyyamudira Janardhana source 9
PharmaSUG 2019 Camouflage your Clinical Trial with Machine Learning and AI Ajith Baby Sadasivan,
Limna Salim,
Akhil Vijayan,
Anoop Ambika		 source 10
PharmaSUG 2019 Get to the Meat on Machine Learning Aadesh Shah source 4
PharmaSUG 2019 Hands-on Training for Machine Learning Programming Kevin Lee source 12
PharmaSUG 2019 Machine Learning Approaches to Identify Rare Diseases Xuan Sun,
Ruohan Wang		 source 5
PharmaSUG 2019 Next Innovation in Pharma - CDISC data and Machine Learning Kevin Lee source 5
PharmaSUG 2019 Performing Analytics on Free-Text Data Fields: A Programer-s Wurst Nitemare Michael S Rimler,
Matt Pitlyk		 source 18
PharmaSUG 2019 Using Real-World Evidence to Affect the Opioid Crisis Sherrine Eid,
Andrea Coombs		 source 10
PharmaSUG 2019 Why we should learn Python Kevin Lee source 11
SGF 2019 5W1H Method: SAS Viya as Your Cloud Analytics Platform? Who, What, When, Where, Why, and How Daniel Hatton source 10
SGF 2019 A Complete Introduction to SASPy and Jupyter Notebooks Jason Phillips source 9
SGF 2019 Are You a Lifelong Learner? Validate Your Skills and Stand Out with SAS Certifications! Andrew Howell source 12
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 Boop-Oop-A-Doop! It's Showtime with SAS on Apache Hadoop! Cecily Hoffritz source 25
SGF 2019 Combating Fraud and Financial Crime Effectively by Empowering Data Scientists Using SAS Viya Steve Overton source 10
SGF 2019 Creating a Strong Business Case for SAS Event Stream Processing Henrique Consolini Danc source 16
SGF 2019 Data-Driven Agent Allocation in a Process using Machine Learning and Optimization in SAS Lokendra Kumar Devangan source 9
SGF 2019 Data4Good helping IOM forecast logistics for refugees in Africa Colin Nugteren source 12
SGF 2019 Deploying Models Using SAS and Open Source Jared Dean source 10
SGF 2019 Detecting Human Trafficking? An Anti-Money Laundering Program and SAS Visual Investigator Can Help Dan Tamburro source 13
SGF 2019 Developing a Credit Risk Model Using SAS Amos Odeleye source 16
SGF 2019 Don't Just Survive, Thrive! A Learning-Based Strategy for a Modern Organization Centered Around SAS Jovan Marjanovic source 7
SGF 2019 Electric Vehicles: Impact and Opportunity for the Power Grid Tim Fairchild source 14
SGF 2019 Exploring Computer Vision in Deep Learning: Object Detection and Semantic Segmentation Xindian Long,
Maggie Du,
Xiangqian Hu		 source 20
SGF 2019 Factorization Machines, Visual Analytics, and Personalized Marketing Suneel Grover source 26
SGF 2019 Generating Synthetic Instruments for Stress Testing: Machine Learning and Econometrics in SAS Viya Rocco Cannizzaro,
Christian Macaro		 source 8
SGF 2019 How to Use Deep Learning with Your Internet of Things (IoT) Digital Twin Bradley W. Klenz source 9
SGF 2019 Improve Your AML Monitoring While Reducing Costs with SAS Viya Calvin Crase,
Chris St. Jeor		 source 11
SGF 2019 Introducing Pattern Matching for Graph Queries in SAS Viya 3.4 Matthew V. Galati,
Steve Harenberg,
Robert C. Pratt		 source 26
SGF 2019 Kustomizing Your Viya Engine Using SAS Studio Custom Tasks and D3.js Elliot Inman,
Ryan West,
Olivia Wright		 source 16
SGF 2019 Latin Hypersquare Sampling and Genetic Algorithm in SAS/IML for Hyperparameter Optimization Andrea Magatti source 16
SGF 2019 Machine Learning and Predictive Analytics in SAS Enterprise Miner and SAS/STAT Software David Richard Cutler source 21
SGF 2019 Machine Learning for Effective Surveillance with SAS Adaptive Learning and Intelligent Agent System Rory MacKenzie source 14
SGF 2019 Make SAS Viya Realize Strategic Data Science - Data Governance, AI Platform and AI SAS Programmer Ryo Kiguchi,
Katsunari Hirano,
Yoshitake Kitanishi		 source 8
SGF 2019 Medical Image Analytics in SAS Viya for the Treatment of Colorectal Cancer Spread to the Liver Fijoy Vadakkumpadan,
Joost Huiskens		 source 11
SGF 2019 Millennium BCP Increase business analytics skills with a new educational approach, what; how and value Tarcísio Pontes source 5
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 and Teradata: SEe the Advances Heather Burnette,
Greg Otto,
Salman Maher		 source 15
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 SAS Viya: Experience Gained through Multiple Installations and Implementations John Schmitz source 14
SGF 2019 Scouting in Soccer with Applied Machine Learning Vishal Gaurav,
Goutam Chakraborty		 source 19
SGF 2019 The Aftermath What Happens after you Deploy Your Models and Decisions David R. Duling source 18
SGF 2019 Unleashing SAS Visual Data Mining and Machine Learning Models Shawn Pecze,
Prasanth Kanakadandi,
Byron Biggs,
Xin Chi		 source 19
SGF 2019 Using SAS Viya Textual Analytics to Identify and Predict Human Trafficking Attractors and Movement [presentation] Lauren Ann Agrigento,
Nicholas Lacoste		 source 4
PHUSE US 2019 An Overview of the PHUSE ML/AI Working Group Project Sairam Gorthi,
Kevin Lee		 source
presentation source		 4
PHUSE US 2019 Artificial Intelligence and Healthcare Aman Bahl,
Hrideep Antony		 source
presentation source		 10
PHUSE US 2019 Brand Yourself - Don't Become a Blackberry [presentation] Sangeeta Bhattacharya source 16
PHUSE US 2019 Data Harmonization Using Machine Learning [presentation] Lex Jansen source 20
PHUSE US 2019 Data Visualization Anand Phulphagar source
presentation source		 8
PHUSE US 2019 Getting REAL with Supervised and Unsupervised Machine Learning Algorithms in the Real World Himanshu Pandya,
Bob Engle		 source
presentation source		 7
PHUSE US 2019 Hit and Miss: An Evaluation of Imputation Techniques from Machine Learning Karma Tarap source
presentation source		 7
PHUSE US 2019 Machine Learning for Better Treatment with Omics and Clinical Data Phani Ponnapalli,
Subrahmanyam Rayaprolu		 source
presentation source		 10
PHUSE US 2019 Metadata-based Auto-Programming Process - Part 2: Map Human Language to SAS Code by Natural Language Processing (NLP) Sumesh Kalappurakal,
Harry Chen		 source
presentation source		 11
PHUSE US 2019 Metadata-driven Automation in Drug Research Hanming Tu,
Zhongping Lin		 source
presentation source		 13
PHUSE US 2019 New Drug Development Paradigm [presentation] Francis Kendall,
Cytel		 source 33
PHUSE US 2019 Quantifying Dynamic Risk with Predictive Analytics Susan Olson,
Connor English		 source
presentation source		 7
PHUSE US 2019 R and Python Differences, Techniques and Challenges for SAS Programmers Murali Neela source
presentation source		 20
PHUSE US 2019 R Markdown for Reproducible Research Cole Arendt source
presentation source		 15
SCSUG 2018 Advanced Analytics Architecture at General Motors Joe Aarons source 27
SCSUG 2018 How to configure Python and SASPY Michael McCarthy source 7
PHUSE EU 2018 A Learned Approach to CDISC Specifications Stephen M. Noga,
Brandon L. Welch,
Jeffrey M. Abolafia		 source
presentation source		 9
PHUSE EU 2018 Adverse Drug Reactions on Social Media: Bias and Limitation Erwan Le Covec,
Stéphane Chollet		 source
presentation source		 13
PHUSE EU 2018 AI-powered Xbiom 3.1 Smart Curation & Transformation of Data [presentation] Kurien Abraham,
Nicolas Philippe		 source 12
PHUSE EU 2018 Automated Creation of Submission-Ready Artifacts [presentation] Silas McKee,
Lourdes Devenney		 source 15
PHUSE EU 2018 Data Engineering Project (Educating for the Future PHUSE Working Group) Guy R. Garrett,
Bev Hayes		 source
presentation source		 14
PHUSE EU 2018 Data Mapping using Machine Learning Daniel Choi source
poster source		 3
PHUSE EU 2018 Disruption Leads to Innovation: We Must Learn New Things! Chris Decker,
Ali Dootson		 source
presentation source		 8
PHUSE EU 2018 How Machine Learning Can Automate Data Standardization in Clinical Trials [presentation] Fanyi Zhang source 16
PHUSE EU 2018 Implementing Advanced Analytics and Machine Learning in Risk-based Strategies Rajneesh Patil source
presentation source		 3
PHUSE EU 2018 Introduction to Machine Learning Nicolas Dupuis,
Kevin Lee		 source
presentation source		 9
PHUSE EU 2018 Machine Learning with SAS Cathal Gallagher,
Jiangtang Hu		 source
presentation source		 3
PHUSE EU 2018 Machine-learning-driven Clinical Insights - What, When and How? [presentation] Linda Preve source 18
PHUSE EU 2018 Navigating the Mountains and Valleys of Resource Demand: A Roadmap for the Future Lucy Hoch,
Yvonne Jangvik		 source
poster source		 7
PHUSE EU 2018 Text as Data in the Context of Anonymising Clinical Study Reports Lukas Kniola,
Tim Perin		 source
presentation source		 12
PHUSE EU 2018 The MetaDataHub - Integrating, Searching and Presenting Study Descriptive Information Elisabeth Nyman,
Michail Doulis		 source
presentation source		 8
PHUSE EU 2018 Using SAS Advanced Analytic to Gain Insight into the Opioid Epidemic [presentation] Andy Bayliss source 17
PHUSE EU 2018 Want to Get Started with Deep Learning? Prototyping a Deep Learning Image Classifier Thomas Ellebaek source
presentation source		 9
SESUG 2018 Building Neural Network Model in Base SAS (From Scratch) Soujanya Mandalapu,
Yan Wang,
Xuelei (Sherry) Ni		 source 20
SESUG 2018 Predicting the Risk of Attrition for Undergraduate Students using SAS Enterprise Miner Sivateja Reddy Kandula source 12
MWSUG 2018 Pan-Cancer Epigenetic Biomarker Selection from Blood Sample Using SAS Xi Chen,
Jin Xie,
Qingcong Yuan		 9
WUSS 2018 Analyzing international assessments: An ensemble and model comparison approach Chong Ho Yu,
Hyun Seo Lee,
Siyan Gan,
Emily Lara		 source 13
WUSS 2018 Machine Learning - Why we should know it and how it works Kevin Lee source 8
PHUSE US 2018 Cross-study Analysis of SDTM Data Using R Greg Jones,
Todd Cornelius		 source
presentation source		 6
PHUSE US 2018 Machine Learning Driven Clinical Insights - What When & How? [presentation] Chandi Kodthiwada source 5
PHUSE US 2018 Mine the Gap: How the Role of Data Scientist Fills a Need in the Pharmaceutical Industry Michael S Rimler,
Jorine Putter		 source
presentation source		 8
PHUSE US 2018 R or Python: A Programmer's Response Jiangtang Hu source 3
PharmaSUG 2018 Build Models without Code with the new SAS Visual Interface Jim Box source 12
PharmaSUG 2018 Machine Learning - Why we should know and How it works Kevin Lee source 8
PharmaSUG 2018 Telling Stories with Jupyter Notebook Kevin Lee source 14
SGF 2018 A Basic Introduction to SASPy and Jupyter Notebooks Jason Phillips source 7
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 Fraud Management Solution for Middle Market Banks and Ways to Reduce False Positives Gourish Hosangady source 6
SGF 2018 Accelerate your End-to-End Enterprise Decisions with SAS Viya David R. Duling,
Steve Sparano		 source 12
SGF 2018 Algorithmic Marketing Attribution and Conversion Journey Analysis Suneel Grover,
Malcolm Lightbody		 source 14
SGF 2018 Analyzing Text In-Stream and at the Edge Simran Bagga source 12
SGF 2018 Application of Support Vector Machine Modeling and Graph Theory Metrics for Disease Classification Jessica Rudd source 10
SGF 2018 Are New Modeling Techniques Worth It? Tom Zougas source 8
SGF 2018 Automated Assistants for Fraud Investigation Productivity Michael Ames source 6
SGF 2018 Biomedical Image Analytics Using SAS Viya Fijoy Vadakkumpadan,
Saratendu Sethi		 source 12
SGF 2018 Claim Risk Scoring Using Survival Analysis Framework and Machine Learning with Random Forest Yuriy Chechulin source 15
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 Data Management Meets Machine Learning Gregory S. Barnes Nelson source 16
SGF 2018 Demystifying Buzzwords: Using Data Science and Machine Learning on Unsupervised Big Data Ben Murphy source 10
SGF 2018 Harvesting Unstructured Data to Reduce Anti-Money Laundering (AML) Compliance Risk Austin Cook,
Beth Herron		 source 10
SGF 2018 Image Processing: Seeing the World through the Eyes of SAS Viya Ivan Gomez source 11
SGF 2018 Improving Game Strategies with Data Analytics: The Case of Euroleague Professional Basketball [presentation] Raha Akhavan-Tabatabaei,
Cem Yigman		 source 35
SGF 2018 Innovate with Data: Use Cases of SAS in a Modern Hadoop, AI, Machine Learning, and IoT World [presentation] Raj Dalal source 38
SGF 2018 Innovating Government Decision-Making through Analytics Steve Bennett source 19
SGF 2018 Integrating SAS Analytics into Your Web Page James Kochuba,
David Hare		 source 11
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 Navigating the Analytics Life Cycle with SAS Visual Data Mining and Machine Learning Susan Haller,
Brett Wujek		 source 29
SGF 2018 New Frontiers in Pricing Analytics [presentation] Sharat Mathur source 22
SGF 2018 Prediction and Interpretation for Machine Learning Regression Methods David Richard Cutler source 16
SGF 2018 Real-Time Image Processing and Analytics Using SAS Event Stream Processing Frederic Combaneyre source 10
SGF 2018 Reducing Customer Attrition with Machine Learning for Financial Institutions Nathaniel Derby source 14
SGF 2018 Risk Pathways: Using Machine Learning Techniques of SAS Viya to Understand Customer Risk Drivers Leigh Ann Herhold source 14
SGF 2018 Robust Principal Component Analysis: Two Analyses in One Anthony Salis,
Zohreh Asgharzadeh,
Kyungduck Cha		 source 11
SGF 2018 Robust Tuning for Machine Learning Alex Glushkovsky source 22
SGF 2018 SAS Analytics Innovation Lab at La Trobe University: Taking Machine Learning Innovation to Industry [presentation] Damminda Alahakoon source 23
SGF 2018 SAS Cloud Analytic Services Actions: A Holistic View Mark Gass source 20
SGF 2018 SAS Viya : The Beauty of REST in Action Sean Ankenbruck,
Grace Heyne Lybrand		 source 7
SGF 2018 SAS Viya: Architect for High Availability Now and Users Will Thank You Later Jerry Read source 6
SGF 2018 Shorter Waiting Time, Better Emergency Healthcare: Forecasting Stockholms' Emergency Room Visits Martin Nordberg,
Oskar Eriksson		 source 24
SGF 2018 Time Series Feature Extraction Michele A. Trovero,
Michael J. Leonard		 source 18
SGF 2018 Top 10 Tips for SAS Enterprise Miner Based on 20 Years' Experience Melodie Rush source 21
SGF 2018 Using SAS Cloud Analytic Services with Raspberry Pi Time-Lapse Photography Matthew Parmelee source 6
SGF 2018 Using SAS Text Analytics to Assess International Human Trafficking Patterns Tom Sabo,
Adam Pilz		 source 16
SESUG 2017 Can A SAS Programmer Stay Cool Jiangtang Hu source 6
SCSUG 2017 A Study on H1B - VISA Petitions 2011-2016 Shubham Panat source 12
SCSUG 2017 Use Machine Learning to Discover Your Rules David R. Duling source 10
PHUSE EU 2017 A User Interface to Your SAS Programs Hailemichael Worku source
presentation source		 10
PHUSE EU 2017 Devices Big Data and Real World Evidence Mike Collinson source
presentation source		 7
PHUSE EU 2017 Enabling Data Driven Culture via Technology Chandi Kodthiwada source
presentation source		 3
PHUSE EU 2017 SAS Visual Data Mining [presentation] Andy Bayliss source 3
PHUSE EU 2017 The Art of Data Visualization: DetectingMultivariate Data Outliers Using an Interactive Approach Diane Peers source
presentation source		 9
WUSS 2017 An Overview of SAS Visual Data Mining and Machine Learning on SAS Viya Radhikha Myneni source 23
WUSS 2017 Nonlinear Modeling with Big Data in SAS and JMP Chong Ho,
Hyun Seo Lee,
Siyan Gan,
Emily Brown		 source 12
PharmaSUG 2017 Leveraging metadata when mapping to CDISC Standards with SAS machine learning in a Results as a Service plus Model (RAAS+) Ben E. Bocchicchio,
Sandeep Juneja,
Preetesh Parikh		 source 6
PharmaSUG 2017 The Elusive Data Scientist: Real-World Analytic Competencies Gregory S. Barnes Nelson,
Monica Horvath		 source 14
SGF 2017 An Introduction to SAS Visual Analytics 8.1 Jeff Diamond source 14
SGF 2017 An Overview of SAS Visual Data Mining and Machine Learning on SAS Viya Jonathan Wexler,
Susan Haller		 source 23
SGF 2017 Automated Hyperparameter Tuning for Effective Machine Learning Patrick Koch,
Brett Wujek,
Oleg Golovidov,
Steven Gardner		 source 23
SGF 2017 Building Bayesian Network Classifiers Using the HPBNET Procedure Ye Liu,
Weihua Shi,
Wendy Czika		 source 19
SGF 2017 Factorization Machines: A New Tool for Sparse Data Jorge Silva,
Ray Wright		 source 14
SGF 2017 Identifying Abnormal Equipment Behavior and Filtering Data near the Edge for IoT Applications Ryan Gillespie,
Saurabh Gupta		 source 5
SGF 2017 Interactive Modeling in SAS Visual Analytics Donald R. Chapman,
Jonathan Wexler		 source 16
SGF 2017 Methods of Multinomial Classification Using Support Vector Machines Ralph Abbey,
Taiping He,
Tao Wang		 source 20
SGF 2017 N-Stage Machine Learning Analysis with the LUA Procedure Helps Solve Big Data Analysis Problems Ryo Kiguchi,
Eri Sakai,
Yoshitake Kitanishi,
Akio Tsuji		 source 8
SGF 2017 Optimizing Anti-Money Laundering Transaction Monitoring Systems Using SAS Analytical Tools Stephen M. Overton,
Eric Hale,
Leigh Ann Herhold		 source 10
SGF 2017 Real AdaBoost: Boosting for Credit Scorecards and Similarity to WOE Logistic Regression Paul Edwards source 12
SGF 2017 Shipping Container Roulette [presentation] Dan Tamburro source 29
SGF 2017 The Elusive Data Scientist: Real-World Analytic Competencies Gregory S. Barnes Nelson source 14
SGF 2017 The Rise of the Machines, Analytics, and Humans: Artificial Intelligence in the Age of the IIoT Kathy Ball,
Robert Silverman		 source 10
SGF 2017 Use Machine Learning to Discover Your Rules David R. Duling source 10
SGF 2017 What Statisticians Should Know about Machine Learning David Richard Cutler source 13
SESUG 2016 New Game in Town: SAS Proc Lua with Applications Jiangtang Hu source 7
MWSUG 2016 A Predictive Logistic Regression Model for Chronic Kidney Disease Jingye Wang 1
SGF 2016 Alerts Don't Launder Money (and Finance Terrorism)--People Do! Kathy Hart source 7
SGF 2016 Analytics of Things: Golf a Good Walk Spoiled? David Shannon source 15
SGF 2016 Is It Time for a PhD in Data Science? [presentation] Jennifer Priestley source 15
SGF 2016 Mass-Scale, Automated Machine Learning and Model Deployment Using SAS Factory Miner and SAS Decision Manager Jonathan Wexler,
Steve Sparano		 source 19
SGF 2016 Money Launderers Beware! Catching You Is Just a Point-and-Click Away Renee Palmer,
Yue Chai		 source 14
SGF 2016 Processing CDC and SCD Type 2 for Sources without CDC: A Hybrid Approach Vishant Bhat,
Tony Blanch		 source 8
PHUSE EU 2015 The Technology of Context Ian Fleming,
John Leveille		 source
presentation source		 52
SESUG 2015 How to be a Data Scientist Using SAS Charles D. Kincaid,
Experis Business		 source 13
SGF 2015 Addressing AML Regulatory Pressures by Creating Customer Risk Rating Models with Ordinal Logistic Regression Edwin Rivera,
Jim West		 source 12
SGF 2015 Predicting Readmission of Diabetic Patients Using the High-Performance Support Vector Machine Algorithm of SAS Enterprise Miner 13.1 Hephzibah Munnangi,
Goutam Chakraborty		 source 10
SGF 2015 Take a Bite Out of Crime with SAS Visual Scenario Designer Yue Qi source 10
WUSS 2014 SAS and Teradata: Innovators and Leaders for Big Data Analytics Tho H. Nguyen,
John Cunningham		 source 4
SGF 2014 An Overview of Machine Learning with SAS Enterprise Miner Patrick Hall,
Jared Dean,
Ilknur Kaynar Kabul,
Jorge Silva		 source
zip		 24
SGF 2014 How to be a Data Scientist Using SAS Chuck Kincaid source 13
SGF 2014 What's New in SAS Enterprise Miner 13.1 Jared Dean,
Jonathan Wexler		 source 16
WUSS 2013 How to be a Data Scientist Using SAS Chuck Kincaid source 13
NESUG 2013 An Animated Guide: An Introduction to Neural Nets: Russell M. Lavery 12
NESUG 2013 How to be a Data Scientist Using SAS Chuck Kincaid 13
SGF 2013 Next-Generation Detection Engine for Fraud and Compliance Ryan Schmiedl source 6
SGF 2013 Segmentation and Classification Analysis Using SAS Rachel Poulsen source 14
WUSS 2012 Multivariate Statistical Analysis in SAS: Segmentation and Classification of BehavioralData Rachel Poulsen source 14
SGF 2011 Detecting and Preventing Fraud in Financial Institutions Ellen Joyner source 16
WUSS 2010 101 Applications of Multivariate Statistical Procedures: PRINCOMP, CLUSTER, DISCRIM in SAS 9.2 Keh-Dong Shiang source 22
PHUSE EU 2008 Statistically guided review of safety data in clinical trials Michael O'Connell,
Harry Southworth		 source 12
SEUGI 2003 Uncovering the Hidden Fiance Crime - the SAS Anti-Money Laundering Solution [presentation] Sascha Schubert source 39
SEUGI 2002 Advanced Techniques in CRM [presentation] Donna Byrne source 19
SEUGI 2002 Banking Transactions Analysis using SAS Software [presentation] Lioudmila Dmitrieva,
Roman Volynets		 source 31
WUSS 2001 Intelligent Agents and Applications in Enterprise Computing Anthony M. Dymond source 7
SEUGI 2000 Data Mining for Building & Not Digging [presentation] Kathryn Burn-Thornton source 22

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