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Freddie Kalaitzis
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Cited by
Year
A simple approach to ranking differentially expressed gene expression time courses through Gaussian process regression
A Kalaitzis, ND Lawrence
BMC bioinformatics 12 (1), 180, 2011
1032011
HighRes-net: Recursive Fusion for Multi-Frame Super-Resolution of Satellite Imagery
M Deudon, A Kalaitzis, I Goytom, MR Arefin, Z Lin, K Sankaran, ...
arXiv preprint arXiv:2002.06460, 2020
56*2020
Residual Component Analysis: Generalising PCA for more flexible inference in linear-Gaussian models
A Kalaitzis, ND Lawrence
Proceedings of the 29th International Conference on Machine Learning, 209–216, 2012
38*2012
The Bigraphical Lasso
A Kalaitzis, J Lafferty, ND Lawrence, S Zhou
Proceedings of The 30th International Conference on Machine Learning 28 (3 …, 2013
342013
A large-scale crowd-sourced analysis of abuse against women journalists and politicians on Twitter
L Delisle, A Kalaitzis, K Majewski, A de Berker, M Marin, J Cornebise
NeurIPS 2018 AI for Social Good workshop, 2018
26*2018
Multi-Image Super-Resolution for Remote Sensing using Deep Recurrent Networks
MR Arefin, V Michalski, PL St-Charles, A Kalaitzis, S Kim, SE Kahou, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
182020
RainBench: Towards Data-Driven Global Precipitation Forecasting from Satellite Imagery
CS de Witt, C Tong, V Zantedeschi, D De Martini, F Kalaitzis, M Chantry, ...
Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 14902 …, 2021
11*2021
Flexible sampling of discrete data correlations without the marginal distributions
A Kalaitzis, R Silva
Advances in Neural Information Processing Systems 26, 2517-2525, 2013
102013
gptk: Gaussian processes tool-kit
AA Kalaitzis, P Gao, A Honkela, ND Lawrence
102010
Prediction of GNSS Phase Scintillations: A Machine Learning Approach
K Lamb, G Malhotra, A Vlontzos, E Wagstaff, AG Baydin, A Bhiwandiwalla, ...
arXiv preprint arXiv:1910.01570, 2019
92019
Predicting gaming related properties from twitter profiles
A Kalaitzis, MI Gorinova, Y Lewenberg, Y Bachrach, M Fagan, D Carignan, ...
2016 IEEE Second International Conference on Big Data Computing Service and …, 2016
8*2016
Image inpainting with Gaussian processes
A Kalaitzis
Master of Science Thesis, School of Informatics, University of Edinburgh, 2009
82009
Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery
I Laradji, P Rodriguez, F Kalaitzis, D Vazquez, R Young, E Davey, ...
arXiv preprint arXiv:2011.07369, 2020
72020
Bayesian inference via projections
R Silva, A Kalaitzis
Statistics and Computing 25 (4), 739-753, 2015
62015
Online joint classification and anomaly detection via sparse coding
A Kalaitzis, JDB Nelson
2014 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2014
42014
Single-Frame Super-Resolution of Solar Magnetograms: Investigating Physics-Based Metrics and Losses
A Jungbluth, X Gitiaux, SA Maloney, C Shneider, PJ Wright, A Kalaitzis, ...
arXiv preprint arXiv:1911.01490, 2019
32019
Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder
AB Kara Lamb, Garima Malhotra, Athanasios Vlontzos, Edward Wagstaff, Atılım ...
arXiv preprint arXiv:1910.03085, 2019
32019
Learning with structured covariance matrices in linear Gaussian models
A Kalaitzis
University of Sheffield, 2013
22013
Open High-Resolution Satellite Imagery: The WorldStrat Dataset--With Application to Super-Resolution
J Cornebise, I Oršolić, F Kalaitzis
arXiv preprint arXiv:2207.06418, 2022
12022
Pix2Streams: Dynamic Hydrology Maps from Satellite-LiDAR Fusion
D Garcia, G Mateo-Garcia, H Bernhardt, R Hagensieker, IGL Francos, ...
arXiv preprint arXiv:2011.07584, 2020
12020
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