Vassilios Stathopoulos
Title
Cited by
Cited by
Year
On social networks and collaborative recommendation
I Konstas, V Stathopoulos, JM Jose
Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009
7122009
Markov chain Monte Carlo inference for Markov jump processes via the linear noise approximation
V Stathopoulos, MA Girolami
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2013
412013
Markov chain Monte Carlo inference for Markov jump processes via the linear noise approximation
V Stathopoulos, MA Girolami
Philosophical Transactions of the Royal Society A: Mathematical, Physical …, 2013
412013
Acoustic identification of Mexican bats based on taxonomic and ecological constraints on call design
V Zamora‐Gutierrez, C Lopez‐Gonzalez, MC MacSwiney Gonzalez, ...
Methods in Ecology and Evolution 7 (9), 1082-1091, 2016
342016
EWS-FLI1 employs an E2F switch to drive target gene expression
R Schwentner, T Papamarkou, MO Kauer, V Stathopoulos, F Yang, ...
Nucleic acids research 43 (5), 2780-2789, 2015
282015
Putting the scientist in the loop--Accelerating scientific progress with interactive machine learning
O Mac Aodha, V Stathopoulos, GJ Brostow, M Terry, M Girolami, ...
2014 22nd International Conference on Pattern Recognition, 9-17, 2014
182014
Lagrangian Dynamical Monte Carlo
S Lan, V Stathopoulos, B Shahbaba, M Girolami
arXiv preprint arXiv:1211.3759, 2012
172012
Bat call identification with gaussian process multinomial probit regression and a dynamic time warping kernel
V Stathopoulos, V Zamora-Gutierrez, K Jones, M Girolami
Artificial intelligence and statistics, 913-921, 2014
162014
A framework for evaluating automatic image annotation algorithms
K Athanasakos, V Stathopoulos, JM Jose
European Conference on Information Retrieval, 217-228, 2010
152010
Bayesian mixture hierarchies for automatic image annotation
V Stathopoulos, JM Jose
European Conference on Information Retrieval, 138-149, 2009
142009
Bat echolocation call identification for biodiversity monitoring: a probabilistic approach
V Stathopoulos, V Zamora-Gutierrez, KE Jones, M Girolami
The Journal of the Royal Statistical Society, Series C (Applied Statistics …, 2018
132018
Semantic relationships in multi-modal graphs for automatic image annotation
V Stathopoulos, J Urban, J Jose
European Conference on Information Retrieval, 490-497, 2008
52008
mcmc_clib –an advanced MCMC sampling package for ode models
A Kramer, V Stathopoulos, M Girolami, N Radde
Bioinformatics 30 (20), 2991-2992, 2014
42014
Bayesian probabilistic models for image retrieval
V Stathopoulos, JM Jose
Proceedings of the Second Workshop on Applications of Pattern Analysis, 41-47, 2011
42011
Manifold MCMC for mixtures
V Stathopoulos, M Girolami
Mixture Estimation and Applications, 255-276, 2011
42011
A simulated user study of image browsing using high-level classification
T Leelanupab, Y Feng, V Stathopoulos, JM Jose
International Conference on Semantic and Digital Media Technologies, 3-15, 2009
42009
Glasgow University at TRECVID 2008.
P Punitha, T Urruty, Y Feng, M Halvey, A Goyal, D Hannah, IA Klampanos, ...
TRECVID, 2008
42008
A Knowledge-Based Reverse Design System for Declarative Scene Modeling.
V Golfinopoulos, VM Stathopoulos, G Miaoulis, D Plemenos
ICEIS (2), 82-90, 2006
22006
Generative probabilistic models for image retrieval
V Stathopoulos
University of Glasgow, 2012
12012
Pattern Classification with Gaussian Processes
V Stathopoulos, M Girolami
Pattern Recognition And Big Data, 37-73, 2017
2017
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