Theodoros (Theo) Damoulas
Theodoros (Theo) Damoulas
Professor, University of Warwick - UKRI Turing AI Fellow
Verified email at - Homepage
Cited by
Cited by
The eBird enterprise: An integrated approach to development and application of citizen science
BL Sullivan, JL Aycrigg, JH Barry, RE Bonney, N Bruns, CB Cooper, ...
Biological conservation 169, 31-40, 2014
Shifts in Arctic vegetation and associated feedbacks under climate change
RG Pearson, SJ Phillips, MM Loranty, PSA Beck, T Damoulas, SJ Knight, ...
Nature climate change 3 (7), 673-677, 2013
Probabilistic multi-class multi-kernel learning: on protein fold recognition and remote homology detection
T Damoulas, MA Girolami
Bioinformatics 24 (10), 1264-1270, 2008
Multiclass Relevance Vector Machines: sparsity and accuracy
I Psorakis, T Damoulas, MA Girolami
IEEE Transactions on Neural Networks 21 (10), 1588-1598, 2010
Generalized variational inference: Three arguments for deriving new posteriors
J Knoblauch, J Jewson, T Damoulas
arXiv preprint arXiv:1904.02063, 2019
Using Topological Analysis to Support Event-Guided Exploration in Urban Data
H Doraiswamy, N Ferreira, T Damoulas, J Freire, C Silva
IEEE VIS 2014, 2014
Data polygamy : the many-many relationships among urban spatio-temporal data sets
F Chirigati, H Doraiswamy, T Damoulas, J Freire
Proceedings of the 2016 ACM SIGMOD International Conference on Management of …, 2016
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with -Divergences
J Knoblauch, JE Jewson, T Damoulas
Advances in Neural Information Processing Systems 31, 2018
Combining feature spaces for classification
T Damoulas, MA Girolami
Pattern Recognition 42 (11), 2671-2683, 2009
A human/computer learning network to improve biodiversity conservation and research
S Kelling, J Gerbracht, D Fink, C Lagoze, WK Wong, J Yu, T Damoulas, ...
AI magazine 34 (1), 10-10, 2013
Adaptive Spatio-Temporal Exploratory Models: Hemisphere-wide species distributions from massively crowdsourced eBird data.
D Fink, T Damoulas, J Dave
Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2013), 2013
Spatio-temporal Bayesian on-line changepoint detection with model selection
J Knoblauch, T Damoulas
International Conference on Machine Learning, 2718-2727, 2018
An optimization-centric view on Bayes' rule: Reviewing and generalizing variational inference
J Knoblauch, J Jewson, T Damoulas
Journal of Machine Learning Research 23 (132), 1-109, 2022
Crowdsourcing meets ecology: hemisphere-wide spatiotemporal species distribution models
D Fink, T Damoulas, NE Bruns, FA La Sorte, WM Hochachka, CP Gomes, ...
AI magazine 35 (2), 19-30, 2014
Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization
Y Zhang, ÖD Akyildiz, T Damoulas, S Sabanis, 2019
Self-service terminal
C He, T Damoulas, M Girolami
US Patent 7,942,315, 2011
Inferring sparse kernel combinations and relevance vectors: an application to subcellular localization of proteins
T Damoulas, Y Ying, MA Girolami, C Campbell
2008 Seventh International Conference on Machine Learning and Applications …, 2008
ebird: A human/computer learning network for biodiversity conservation and research
S Kelling, J Gerbracht, D Fink, C Lagoze, WK Wong, J Yu, T Damoulas, ...
Twenty-Fourth IAAI Conference, 2012
Multi-resolution multi-task Gaussian processes
O Hamelijnck, T Damoulas, K Wang, M Girolami
Advances in Neural Information Processing Systems 32, 2019
Towards Data-Driven Energy Consumption Forecasting of Multi-Family Residential Buildings: Feature Selection via The Lasso
RK Jain, T Damoulas, CE Kontokosta
Computing in Civil and Building Engineering (2014), 1675-1682, 2014
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