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Sofia Ira Ktena
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2020 – today
- 2022
- [j5]Ferenc Huszár
, Sofia Ira Ktena, Conor O'Brien
Algorithmic amplification of politics on Twitter. Proc. Natl. Acad. Sci. USA 119(1): e2025334119 (2022) - 2021
- [i12]Ferenc Huszár, Sofia Ira Ktena, Conor O'Brien, Luca Belli, Andrew Schlaikjer, Moritz Hardt:
Algorithmic Amplification of Politics on Twitter. CoRR abs/2110.11010 (2021) - 2020
- [c9]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: 456-461 - [c8]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: 521-526 - [c7]Vito Walter Anelli, Amra Delic
RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline. RecSys 2020: 623-627 - [i11]Luca Belli, Sofia Ira Ktena, Alykhan Tejani, Alexandre Lung-Yut-Fong, Frank Portman, Xiao Zhu, Yuanpu Xie, Akshay Gupta, Michael M. Bronstein, Amra Delic
Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline. CoRR abs/2004.13715 (2020) - [i10]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 abs/2007.14523 (2020) - [i9]Dalin Guo, Sofia Ira Ktena, Ferenc Huszar, Pranay Kumar Myana, Wenzhe Shi, Alykhan Tejani:
Deep Bayesian Bandits: Exploring in Online Personalized Recommendations. CoRR abs/2008.00727 (2020)
2010 – 2019
- 2019
- [c6]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: 187-195 - [i8]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 abs/1907.06558 (2019) - 2018
- [b1]Sofia Ira Ktena:
Computational analysis and modelling of graph-structured neuroimaging data. Imperial College London, UK, 2018 - [j4]Sarah Parisot, Sofia Ira Ktena
Disease prediction using graph convolutional networks: Application to Autism Spectrum Disorder and Alzheimer's disease. Medical Image Anal. 48: 117-130 (2018) - [j3]Sofia Ira Ktena
Metric learning with spectral graph convolutions on brain connectivity networks. NeuroImage 169: 431-442 (2018) - [j2]Salim Arslan
Human brain mapping: A systematic comparison of parcellation methods for the human cerebral cortex. NeuroImage 170: 5-30 (2018) - [c5]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: 3-13 - [i7]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 abs/1806.01738 (2018) - [i6]Salim Arslan, Sofia Ira Ktena, Ben Glocker, Daniel Rueckert:
Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity. CoRR abs/1806.01764 (2018) - 2017
- [j1]Sarah Parisot, Ben Glocker, Sofia Ira Ktena
A flexible graphical model for multi-modal parcellation of the cortex. NeuroImage 162: 226-248 (2017) - [c4]Sofia Ira Ktena
Exploring heritability of functional brain networks with inexact graph matching. ISBI 2017: 354-357 - [c3]Sarah Parisot, Sofia Ira Ktena
Spectral Graph Convolutions for Population-Based Disease Prediction. MICCAI (3) 2017: 177-185 - [c2]Sofia Ira Ktena
Distance Metric Learning Using Graph Convolutional Networks: Application to Functional Brain Networks. MICCAI (1) 2017: 469-477 - [i5]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 abs/1703.02161 (2017) - [i4]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 abs/1703.03020 (2017) - [i3]Sofia Ira Ktena, Salim Arslan, Sarah Parisot, Daniel Rueckert:
Exploring Heritability of Functional Brain Networks with Inexact Graph Matching. CoRR abs/1703.10062 (2017) - [i2]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 abs/1711.06853 (2017) - 2016
- [i1]Sofia Ira Ktena, Sarah Parisot, Jonathan Passerat-Palmbach, Daniel Rueckert:
Comparison of Brain Networks with Unknown Correspondences. CoRR abs/1611.04783 (2016) - 2015
- [c1]Sofia Ira Ktena
A virtual reality platform for safe evaluation and training of natural gaze-based wheelchair driving. NER 2015: 236-239
Coauthor Index
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