Sofia Ira Ktena

Orcid: 0000-0001-6677-6547

According to our database1, Sofia Ira Ktena authored at least 20 papers between 2015 and 2022.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Algorithmic amplification of politics on Twitter.
Proc. Natl. Acad. Sci. USA, 2022

2020
Deep Bayesian Bandits: Exploring in Online Personalized Recommendations.
CoRR, 2020

Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline.
CoRR, 2020

Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Deep Bayesian Bandits: Exploring in Online Personalized Recommendations.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019
Addressing delayed feedback for continuous training with neural networks in CTR prediction.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018
Computational analysis and modelling of graph-structured neuroimaging data.
PhD thesis, 2018

Metric learning with spectral graph convolutions on brain connectivity networks.
NeuroImage, 2018

Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex.
NeuroImage, 2018

Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease.
Medical Image Anal., 2018

Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease.
CoRR, 2018

Graph Saliency Maps Through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity.
Proceedings of the Graphs in Biomedical Image Analysis - and - Integrating Medical Imaging and Non-Imaging Modalities, 2018

2017
A flexible graphical model for multi-modal parcellation of the cortex.
NeuroImage, 2017

DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images.
CoRR, 2017

Spectral Graph Convolutions for Population-Based Disease Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Exploring heritability of functional brain networks with inexact graph matching.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Comparison of Brain Networks with Unknown Correspondences.
CoRR, 2016

2015
A virtual reality platform for safe evaluation and training of natural gaze-based wheelchair driving.
Proceedings of the 7th International IEEE/EMBS Conference on Neural Engineering, 2015


  Loading...