Machine learning and microscopy solve 170-year-old mystery of premelting ice

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...
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 ...
GitHub

Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning

This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...
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 ...
IEEE

Feature Extraction Method Comparison in Detecting Spam Tweets Using Machine Learning

Abstract: Twitter is one of the most used social media platforms, with millions of active users worldwide, faces a growing problem with spam. Spam encompasses a wide range of harmful content, ...