Microsoft

Synthesis and machine learning for heterogeneous extraction

We present a way to combine techniques from the program synthesis and machine learning communities to extract structured information from heterogeneous data. Such problems arise in several situations ...
tctmagazine.com

Building the dream machine

"We had a goal, that we want to democratise home manufacturing. Put 3D printers in every household." Stop me if you've heard this one before. A desktop 3D printer is the talk of the town at a trade ...
IEEE

PolyBuild: An End-to-End Method for Polygonal Building Contour Extraction From High-Resolution Remote Sensing Images

Abstract: Extracting building polygon contours from high-resolution remote sensing images is a fundamental task for various mapping applications. However, the presence of varying imaging conditions ...
Frontiers

Development and validation of a clinical prediction model for in-hospital mortality of severe pneumonia based on machine learning

Objective: We aimed to develop an interpretable model to predict the mortality risk for severe pneumonia patients. Methods: The study retrospectively employed data from severe pneumonia patients at ...
IEEE

Machine Learning-Based Differential Diagnosis of Parkinson’s Disease Using Kinematic Feature Extraction and Selection

Abstract: Parkinson’s disease (PD) is the second most common neurodegenerative disorder and is characterized by dopaminergic neuron loss and the accumulation of abnormal synuclein. PD presents both ...