Sofia Ira Ktena

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 25

Top Topics

Delayed Feedback

Metric Learning

Brain Connectivity

Top Venues

Publications

Ferenc Huszár, Sofia Ira Ktena, Conor O'Brien, Luca Belli, Andrew Schlaikjer, Moritz Hardt
Algorithmic amplification of politics on Twitter. Proc. Natl. Acad. Sci. USA 119 (1) (2022)
Ferenc Huszár, Sofia Ira Ktena, Conor O'Brien, Luca Belli, Andrew Schlaikjer, Moritz Hardt
Algorithmic Amplification of Politics on Twitter. CoRR (2021)
Luca Belli, Sofia Ira Ktena, Alykhan Tejani, Alexandre Lung-Yut-Fong, Frank Portman, Xiao Zhu, Yuanpu Xie, Akshay Gupta, Michael M. Bronstein, Amra Delic, Gabriele Sottocornola, Vito Walter Anelli, Nazareno Andrade, Jessie Smith, Wenzhe Shi
Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline. CoRR (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
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems. RecSys (2020)
Dalin Guo, Sofia Ira Ktena, Pranay Kumar Myana, Ferenc Huszar, Wenzhe Shi, Alykhan Tejani, Michael Kneier, Sourav Das
Deep Bayesian Bandits: Exploring in Online Personalized Recommendations. RecSys (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
Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems. CoRR (2020)
Dalin Guo, Sofia Ira Ktena, Ferenc Huszar, Pranay Kumar Myana, Wenzhe Shi, Alykhan Tejani
Deep Bayesian Bandits: Exploring in Online Personalized Recommendations. CoRR (2020)
Vito Walter Anelli, Amra Delic, Gabriele Sottocornola, Jessie Smith, Nazareno Andrade, Luca Belli, Michael M. Bronstein, Akshay Gupta, Sofia Ira Ktena, Alexandre Lung-Yut-Fong, Frank Portman, Alykhan Tejani, Yuanpu Xie, Xiao Zhu, Wenzhe Shi
RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline. RecSys (2020)
Sofia Ira Ktena, Alykhan Tejani, Lucas Theis, Pranay Kumar Myana, Deepak Dilipkumar, Ferenc Huszár, Steven Yoo, Wenzhe Shi
Addressing delayed feedback for continuous training with neural networks in CTR prediction. RecSys (2019)
Sofia Ira Ktena, Alykhan Tejani, Lucas Theis, Pranay Kumar Myana, Deepak Dilipkumar, Ferenc Huszar, Steven Yoo, Wenzhe Shi
Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction. CoRR (2019)
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease. Medical Image Anal. 48 (2018)
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert
Metric learning with spectral graph convolutions on brain connectivity networks. NeuroImage 169 (2018)
Salim Arslan, Sofia Ira Ktena, Ben Glocker, Daniel Rueckert
Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity. CoRR (2018)
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrero, Ben Glocker, Daniel Rueckert
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease. CoRR (2018)
Salim Arslan, Sofia Ira Ktena, Antonios Makropoulos, Emma C. Robinson, Daniel Rueckert, Sarah Parisot
Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex. NeuroImage 170 (2018)
Salim Arslan, Sofia Ira Ktena, Ben Glocker, Daniel Rueckert
Graph Saliency Maps Through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity. GRAIL/Beyond-MIC@MICCAI (2018)
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert
Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks. MICCAI (1) (2017)
Sarah Parisot, Ben Glocker, Sofia Ira Ktena, Salim Arslan, Markus D. Schirmer, Daniel Rueckert
A flexible graphical model for multi-modal parcellation of the cortex. NeuroImage 162 (2017)
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero Moreno, Ben Glocker, Daniel Rueckert
Spectral Graph Convolutions for Population-Based Disease Prediction. MICCAI (3) (2017)
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew C. H. Lee, Ben Glocker, Daniel Rueckert
Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks. CoRR (2017)
Sofia Ira Ktena, Salim Arslan, Sarah Parisot, Daniel Rueckert
Exploring heritability of functional brain networks with inexact graph matching. ISBI (2017)
Sofia Ira Ktena, Salim Arslan, Sarah Parisot, Daniel Rueckert
Exploring Heritability of Functional Brain Networks with Inexact Graph Matching. CoRR (2017)
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew C. H. Lee, Ricardo Guerrero Moreno, Ben Glocker, Daniel Rueckert
Spectral Graph Convolutions for Population-based Disease Prediction. CoRR (2017)
Nick Pawlowski, Sofia Ira Ktena, Matthew C. H. Lee, Bernhard Kainz, Daniel Rueckert, Ben Glocker, Martin Rajchl
DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images. CoRR (2017)
Sofia Ira Ktena, Sarah Parisot, Jonathan Passerat-Palmbach, Daniel Rueckert
Comparison of Brain Networks with Unknown Correspondences. CoRR (2016)
Sofia Ira Ktena, William W. Abbott, A. Aldo Faisal
A virtual reality platform for safe evaluation and training of natural gaze-based wheelchair driving. NER (2015)