This event was held at Penn Pavilion on the campus of Duke University.
Modeled after similar events occurring in New York and Boston, the goal was to bring together researchers and applied scientists working in all different areas of machine learning, including industrial applications, academic theory, and everything in between, for a day of technical talks and posters.
Topics included predictive modeling and data science applications, algorithm design, reinforcement learning, natural language processing, etc.
For technical questions involving this event, contact Professor Cynthia Rudin.
Schedule and Supporting Media
|Welcome: Cynthia Rudin, Duke University and Associate Director, SAMSI|
|Machine Learning for 3D Imaging||Sayan Mukherjee, Duke University|
|Active Learning for Probabilistic Record Linkage||Ted Enamorado, University of North Carolina at Chapel Hill|
|Data-driven Decision Making in Healthcare Operations||Nilay Talik Argon, University of North Carolina at Chapel Hill|
|Industry Keynote: What You Didn’t Learn About Machine Learning in School||Wayne Thompson, SAS|
|Adaptive Deep Reuse for Deep Learning||Xipeng Shen, N.C. State University|
|Stacking Audience Models – Using an Ensemble Approach for Predictive Modeling||Susan Xia, Valassis|
|Academic Keynote: Machine Learning from De-Identified Coded Electronic Health Records (EHRs)||David Page, Duke University|
|Biomedical Image Understanding and EHRs at LifeOmic: Harnessing the Power of the Cloud||Matthew Phillips, LifeOmic|
|Posters and Networking|
|Poster: Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification||Xiaoyu Cao, Duke University|
|Poster: Using the Hidden Markov Model to Devise the Beat-the-Market Trading Strategy||Xilong Chen, SAS Institute|
|Poster: Urban Semantic 3D Reconstruction from Multiview Satellite Imagery||Brian Clipp, Kitware, Inc.|
|Poster: Insights into Large Bioactive Molecules from MacrolactoneDB and Machine Learning||Sean Ekins, Collaborations Pharmaceuticals, Inc.|
|Poster: Interpretable Image Recognition with Hierarchical Prototypes||Peter Hase, University of North Carolina at Chapel Hill|
|Poster: Development of an Accelerometer-based Positional Classification System||Leighanne Jarvis, Duke University|
|Poster: Defending against Machine Learning based Inference Attacks using Adversarial Examples as Deceptive Mechanisms||Jinyuan Jia, Duke University|
|Poster: Transfer Learning for Molecular Property/Activity Prediction||Xinhao Li, N.C. State University|
|Poster: Dorsolateral and Dorsomedial Prefrontal Cortex Track Dynamic Social Behavior in a Strategic Game||Kelsey McDonald, Duke University|
|Poster: Dorsolateral and Dorsomedial Prefrontal Cortex Track Dynamic Social Behavior in a Strategic Game||Javad Roostaei, University of North Carolina at Chapel Hill|
|Poster: Integration of Sepsis Watch, a Deep Learning Sepsis Detection and Treatment Platform, into Routine Clinical Care||Mark Sendak, Duke University|