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72 papers · 1 filter
Feature Selection Approaches for Optimising Music Emotion Recognition Methods
Le Cai, Sam Ferguson, Haiyan Lu +1
The high feature dimensionality is a challenge in music emotion recognition. There is no common consensus on a relation between audio features and emotion. The MER system uses all…
Graph Neural Networks in Computer Vision -- Architectures, Datasets and Common Approaches
Maciej Krzywda, Szymon Łukasik, Amir H. Gandomi
Graph Neural Networks (GNNs) are a family of graph networks inspired by mechanisms existing between nodes on a graph. In recent years there has been an increased interest in GNN an…
Deep Learning for Brain Age Estimation: A Systematic Review
M. Tanveer, M. A. Ganaie, Iman Beheshti +7
Over the years, Machine Learning models have been successfully employed on neuroimaging data for accurately predicting brain age. Deviations from the healthy brain aging pattern ar…
Social-Aware Clustered Federated Learning with Customized Privacy Preservation
Yuntao Wang, Zhou Su, Yanghe Pan +3
A key feature of federated learning (FL) is to preserve the data privacy of end users. However, there still exist potential privacy leakage in exchanging gradients under FL. As a r…
COV19IR : COVID-19 Domain Literature Information Retrieval
Arusarka Bose, Zili Zhou, Guandong Xu
Increasing number of COVID-19 research literatures cause new challenges in effective literature screening and COVID-19 domain knowledge aware Information Retrieval. To tackle the c…
Interval-censored Transformer Hawkes: Detecting Information Operations using the Reaction of Social Systems
Quyu Kong, Pio Calderon, Rohit Ram +2
Social media is being increasingly weaponized by state-backed actors to elicit reactions, push narratives and sway public opinion. These are known as Information Operations (IO). T…