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
1098 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
867 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
203 2008 Multiclass Relevance Vector Machines: sparsity and accuracy I Psorakis, T Damoulas, MA Girolami
IEEE Transactions on Neural Networks 21 (10), 1588-1598, 2010
189 2010 Generalized variational inference: Three arguments for deriving new posteriors J Knoblauch, J Jewson, T Damoulas
arXiv preprint arXiv:1904.02063, 2019
104 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
93 2014 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
86 2022 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
84 2018 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
81 2016 Combining feature spaces for classification T Damoulas, MA Girolami
Pattern Recognition 42 (11), 2671-2683, 2009
78 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
75 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
74 2013 Spatio-temporal Bayesian on-line changepoint detection with model selection J Knoblauch, T Damoulas
International Conference on Machine Learning, 2718-2727, 2018
67 2018 Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization Y Zhang, ÖD Akyildiz, T Damoulas, S Sabanis
https://arxiv.org/abs/1910.02008, 2019
61 * 2019 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
53 2014 Self-service terminal C He, T Damoulas, M Girolami
US Patent 7,942,315, 2011
53 2011 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
52 2014 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
52 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
50 2012 Multi-resolution multi-task Gaussian processes O Hamelijnck, T Damoulas, K Wang, M Girolami
Advances in Neural Information Processing Systems 32, 2019
49 2019