Jumping across biomedical contexts using compressive data fusion
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Updated
Jun 15, 2016 - Python
Jumping across biomedical contexts using compressive data fusion
Data fusion for air quality data
Silhouette is a project contains IMU data fusion and interpolation algorithms.
Belief functions theory (Dempster-Shafer theory) implementation in C++
Datasets and source code for reproducing the paper 'Integrating multiple evidence sources to predict adverse drug reactions based on systems pharmacology model'.
HSI and LiDAR image fusion based on Deep Learning
A deep learning approach for combining time-series and textual data for taxi demand prediction in event areas
CDFF-Dev provides tools to develop, test, visualize, and perform analysis on data fusion products. Forked from https://gitlab.com/h2020src/og3/cdff_dev, where issues and pull requests are processed.
Core and Support components of the CDFF. Forked from https://gitlab.com/h2020src/og3/cdff, where issues and pull requests are processed.
Data fusion for air quality data
Create RGB point cloud from KITTI raw data, project it to 2D representation
Tracks position of a vehicle by fusing data obtained from an MPU9250 and an optical displacement sensor using Kalman Filter.
DeepCU: Integrating Both Common and Unique Latent Information for Multimodal Sentiment Analysis, IJCAI-19
Code for paper Multi-parametric MRIs based assessment of Hepatocellular Carcinoma Differentiation with Multi-scale ResNet
(Multiblock) Partial Least Squares Regression for Python
A python library for data fusion
🍊 🔗 Data fusion add-on for Orange3
Logistic Regression model to track users with multiple sensors
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