Výsledky vyhledávání - "Multi-modal autoencoder"

DOTA: Deep Learning Optimal Transport Approach to Advance Drug Repositioning for Alzheimer’s Disease

Autoři: Jacqueline Chyr Haoran Gong Xiaobo Zhou

Zdroj: Biomolecules, Vol 12, Iss 196, p 196 (2022)

Témata: Alzheimer’s disease, drug repositioning, deep learning, multi-modal autoencoder, optimal transport problem, reactome, Microbiology, QR1-502

Relation: https://www.mdpi.com/2218-273X/12/2/196; https://doaj.org/toc/2218-273X; https://doaj.org/article/89afc13c2b2b497b9f35e28d48824c57

Dostupnost: https://doi.org/10.3390/biom12020196
https://doaj.org/article/89afc13c2b2b497b9f35e28d48824c57

Learning Digital Geographies through a Graph-Based Semi-supervised Approach

Autoři: P Liu S De Sabbata

Témata: IR content, social media, multi-modal autoencoder, neural network, graph convolutional network, digital geographies

Relation: 2381/10230632.v1

Dostupnost: https://figshare.com/articles/conference_contribution/Learning_Digital_Geographies_through_a_Graph-Based_Semi-supervised_Approach/10230632

Learning Digital Geographies through a Graph-Based Semi-supervised Approach. GeoComputation 2019

Autoři: Pengyuan Liu Stef De Sabbata

Témata: Geospatial information systems and geospatial data modelling, social media, multi-modal autoencoder, neural network, graph convolutional network, digital geographies, Geospatial Information Systems

Dostupnost: https://doi.org/10.17608/k6.auckland.9848213.v2
https://figshare.com/articles/conference_contribution/Learning_Digital_Geographies_through_a_Graph-Based_Semi-supervised_Approach/9848213

A graph-based semi-supervised approach to classification learning in digital geographies

Autoři: Pengyuan Liu Stefano De Sabbata

Témata: Social media, Multi-modal autoencoder, Neural network, Graph convolutional network, Digital geographies

Relation: 2381/13522676.v1

Dostupnost: https://figshare.com/articles/journal_contribution/A_graph-based_semi-supervised_approach_to_classification_learning_in_digital_geographies/13522676