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Deep Bayesian Bandits: Exploring in Online Personalized Recommendations


Aug 03, 2020
Dalin Guo, Sofia Ira Ktena, Ferenc Huszar, Pranay Kumar Myana, Wenzhe Shi, Alykhan Tejani


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Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems


Jul 28, 2020
Caojin Zhang, Yicun Liu, Yuanpu Xie, Sofia Ira Ktena, Alykhan Tejani, Akshay Gupta, Pranay Kumar Myana, Deepak Dilipkumar, Suvadip Paul, Ikuhiro Ihara, Prasang Upadhyaya, Ferenc Huszar, Wenzhe Shi

* Paper is accepted to RecSys 2020 

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Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline


Apr 28, 2020
Luca Belli, Sofia Ira Ktena, Alykhan Tejani, Alexandre Lung-Yut-Fon, Frank Portman, Xiao Zhu, Yuanpu Xie, Akshay Gupta, Michael Bronstein, Amra Delić, Gabriele Sottocornola, Walter Anelli, Nazareno Andrade, Jessie Smith, Wenzhe Shi

* 10 pages, 2 tables 

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Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction


Jul 15, 2019
Sofia Ira Ktena, Alykhan Tejani, Lucas Theis, Pranay Kumar Myana, Deepak Dilipkumar, Ferenc Huszar, Steven Yoo, Wenzhe Shi

* Accepted at RecSys '19 

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Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity


Jun 05, 2018
Salim Arslan, Sofia Ira Ktena, Ben Glocker, Daniel Rueckert


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


Jun 05, 2018
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert

* in Press at Medical Image Analysis, MICCAI 2017 Special Issue 

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DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images


Nov 18, 2017
Nick Pawlowski, Sofia Ira Ktena, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Martin Rajchl

* Submitted to Medical Imaging Meets NIPS 2017, Code at https://github.com/DLTK/DLTK 

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Spectral Graph Convolutions for Population-based Disease Prediction


Jun 21, 2017
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrerro Moreno, Ben Glocker, Daniel Rueckert

* International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI) 2017 

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Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks


Jun 14, 2017
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew Lee, Ben Glocker, Daniel Rueckert

* International Conference on Medical Image Computing and Computer-Assisted Interventions (MICCAI) 2017 

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Exploring Heritability of Functional Brain Networks with Inexact Graph Matching


Mar 29, 2017
Sofia Ira Ktena, Salim Arslan, Sarah Parisot, Daniel Rueckert

* accepted at ISBI 2017: International Symposium on Biomedical Imaging, Apr 2017, Melbourne, Australia 

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Comparison of Brain Networks with Unknown Correspondences


Nov 15, 2016
Sofia Ira Ktena, Sarah Parisot, Jonathan Passerat-Palmbach, Daniel Rueckert

* Presented at The MICCAI-BACON 16 Workshop (https://arxiv.org/abs/1611.03363

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