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Rotation Equivariant Siamese Networks for Tracking
Fusing Structural and Functional MRIs using Graph Convolutional Networks for Autism Classification
Visual Analytics Framework for the Assessment of Temporal Hypergraph Prediction Models
HyperLearn: A Distributed Approach for Representation Learning in Datasets With Many Modalities
Interactive exploration of journalistic video footage through multimodal semantic matching
Predicting Behavioural Patterns in Discussion Forums using Deep Learning on Hypergraphs
Exploiting Relational Information in Social Networks using Geometric Deep Learning on Hypergraphs
August 2019 - Our paper titled HyperLearn A Distributed Approach for Representation Learning in Datasets With Many Modalities has been accepted as Brave New Idea at ACM Multimedia
August 2019 - Our paper titled HyperLearn A Distributed Approach for Representation Learning in Datasets With Many Modalities has been accepted as Brave New Idea at ACM Multimedia
August 2019 - Our paper titled HyperLearn A Distributed Approach for Representation Learning in Datasets With Many Modalities has been accepted as Brave New Idea at ACM Multimedia
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