⚡️A Blazing-Fast Python Library for Ranking Evaluation, Comparison, and Fusion 🐍

Repository for automatic classification and labeling of Urban PointClouds using data fusion and region growing techniques.

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸

scikit-fusion: Data fusion via collective latent factor models

Multimodal sentiment analysis using hierarchical fusion with context modeling

HSI and LiDAR image fusion based on Deep Learning

Implementation in Python for Dempster Shafer algorythm with application in predicting movies genres by reviews

[TITS 2023] Dataset-Asynchronous Trajectory Matching-based Multimodal Maritime Data Fusion for Vessel Traffic Surveillance in Inland Waterways

(Multiblock) Partial Least Squares Regression for Python

Multi-view clustering with flexible ensemble structures.

DeepCU: Integrating Both Common and Unique Latent Information for Multimodal Sentiment Analysis, IJCAI-19

🍊 🔗 Data fusion add-on for Orange3

Code and Datasets for the paper "Combining structured and unstructured data for predictive models: a deep learning approach", published on BMC Medical Informatics and Decision Making in 2020.

Public repository of our IGARSS 2023 submission

Create RGB point cloud from KITTI raw data, project it to 2D representation

A Decomposition-based Canonical Correlation Analysis for High-dimensional Datasets (JASA-20 paper)

Tracks position of a vehicle by fusing data obtained from an MPU9250 and an optical displacement sensor using Kalman Filter.

MGN-Net: A novel Graph Neural Network for integrating heterogenous graph population derived from multiple sources.

🐍PyFusion🐍 is an open-source Python project designed to seamlessly integrate and streamline diverse data sources. 👨‍💻With PyFusion, developers can effortlessly merge, analyze, and visualize data from multiple origins, making it an invaluable tool for data scientists, researchers, and developers aiming to harness the full potential of their data

Code for paper Multi-parametric MRIs based assessment of Hepatocellular Carcinoma Differentiation with Multi-scale ResNet