About the Lab
The MLDS lab focused on the development of machine learning models and algorithms for addressing a variety of challenging problems in the areas of computational social science, computational ecology, computational behavioral science and computational medicine.
Assessing the Limits of Program-Specific Garbage Collection Performance Conference
Programming Language Design and Implementation, 2016, (<p>Distinguished Paper Award</p>).
In: Journal of Medical Internet Research, 18 , 2016, (<p>n/a</p>).
Detecting Divisions of the Autonomic Nervous System Using Wearables Proceeding
Florida, USA, 2016.
Domain Adaptation Methods for Improving Lab-to-field Generalization of Cocaine Detection using Wearable ECG Proceeding
Heidelberg, Germany, 2016.
Hierarchical Span-Based Conditional Random Fields for Labeling and Segmenting Events in Wearable Sensor Data Streams Conference
International Conference on Machine Learning, 2016, (<p>n/a</p>).