Theodoros (Theo) Damoulas
Theodoros (Theo) Damoulas
Professor, University of Warwick - UKRI Turing AI Fellow
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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
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
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
Combining feature spaces for classification
T Damoulas, MA Girolami
Pattern Recognition 42 (11), 2671-2683, 2009
Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization
Y Zhang, ÖD Akyildiz, T Damoulas, S Sabanis, 2019
Generalized variational inference: Three arguments for deriving new posteriors
J Knoblauch, J Jewson, T Damoulas
arXiv preprint arXiv:1904.02063, 2019
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
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
Self-service terminal
C He, T Damoulas, M Girolami
US Patent 7,942,315, 2011
Pattern recognition with a Bayesian kernel combination machine
T Damoulas, MA Girolami
Pattern Recognition Letters 30 (1), 46-54, 2009
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
Constraint reasoning and kernel clustering for pattern decomposition with scaling
R LeBras, T Damoulas, JM Gregoire, A Sabharwal, CP Gomes, ...
International Conference on Principles and Practice of Constraint …, 2011
Bayesian classification of flight calls with a novel dynamic time warping kernel
T Damoulas, S Henry, A Farnsworth, M Lanzone, C Gomes
2010 Ninth International Conference on Machine Learning and Applications …, 2010
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with -Divergences
J Knoblauch, J Jewson, T Damoulas
arXiv preprint arXiv:1806.02261, 2018
Posterior inference for sparse hierarchical non-stationary models
K Monterrubio-Gómez, L Roininen, S Wade, T Damoulas, M Girolami
Computational Statistics & Data Analysis 148, 106954, 2020
Learning Large-Scale Dynamic Discrete Choice Models of Spatio-Temporal Preferences with Application to Migratory Pastoralism in East Africa
S Ermon, Y Xue, R Toth, B Dilkina, R Bernstein, T Damoulas, P Clark, ...
Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015), 2015
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