| 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 | 1317 | 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 | 993 | 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 | 207 | 2008 |
| Multiclass Relevance Vector Machines: sparsity and accuracy I Psorakis, T Damoulas, MA Girolami IEEE Transactions on Neural Networks 21 (10), 1588-1598, 2010 | 193 | 2010 |
| 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 | 165 | 2022 |
| Generalized variational inference: Three arguments for deriving new posteriors J Knoblauch, J Jewson, T Damoulas arXiv preprint arXiv:1904.02063, 2019 | 125 | 2019 |
| 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 | 103 | 2018 |
| 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 | 95 | 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 | 88 | 2016 |
| 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 | 87 | 2013 |
| Nonasymptotic estimates for stochastic gradient Langevin dynamics under local conditions in nonconvex optimization Y Zhang, ÖD Akyildiz, T Damoulas, S Sabanis Applied Mathematics & Optimization 87 (2), 25, 2023 | 82 | 2023 |
| 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 | 80 | 2013 |
| Combining feature spaces for classification T Damoulas, MA Girolami Pattern Recognition 42 (11), 2671-2683, 2009 | 78 | 2009 |
| Spatio-temporal Bayesian on-line changepoint detection with model selection J Knoblauch, T Damoulas International Conference on Machine Learning, 2718-2727, 2018 | 77 | 2018 |
| Exoplanet validation with machine learning: 50 new validated Kepler planets DJ Armstrong, J Gamper, T Damoulas Monthly Notices of the Royal Astronomical Society 504 (4), 5327-5344, 2021 | 71 | 2021 |
| Distribution regression for sequential data M Lemercier, C Salvi, T Damoulas, E Bonilla, T Lyons International Conference on Artificial Intelligence and Statistics, 3754-3762, 2021 | 66 | 2021 |
| Robust Bayesian inference for simulator-based models via the MMD posterior bootstrap C Dellaporta, J Knoblauch, T Damoulas, FX Briol International Conference on Artificial Intelligence and Statistics, 943-970, 2022 | 61 | 2022 |
| Higher order kernel mean embeddings to capture filtrations of stochastic processes C Salvi, M Lemercier, C Liu, B Horvath, T Damoulas, T Lyons Advances in Neural Information Processing Systems 34, 16635-16647, 2021 | 61 | 2021 |
| 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 | 60 | 2014 |
| Spatio-temporal variational Gaussian processes O Hamelijnck, W Wilkinson, N Loppi, A Solin, T Damoulas Advances in Neural Information Processing Systems 34, 23621-23633, 2021 | 59 | 2021 |
