| 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 | 1074 | 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 | 855 | 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 | 187 | 2010 |
| Generalized variational inference: Three arguments for deriving new posteriors J Knoblauch, J Jewson, T Damoulas arXiv preprint arXiv:1904.02063, 2019 | 102 | 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 | 91 | 2014 |
| 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 | 83 | 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 |
| 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 | 69 | 2022 |
| Spatio-temporal Bayesian on-line changepoint detection with model selection J Knoblauch, T Damoulas International Conference on Machine Learning, 2718-2727, 2018 | 66 | 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 | 58* | 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 |
| 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 |
| 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 | 50 | 2014 |
| Multi-resolution multi-task Gaussian processes O Hamelijnck, T Damoulas, K Wang, M Girolami Advances in Neural Information Processing Systems 32, 2019 | 48 | 2019 |
| 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 | 48 | 2012 |
