Theodoros (Theo) Damoulas
Theodoros (Theo) Damoulas
Associate Professor, University of Warwick
Email verificata su - Home page
TitoloCitata daAnno
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, 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
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
Combining feature spaces for classification
T Damoulas, MA Girolami
Pattern Recognition 42 (11), 2671-2683, 2009
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
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
Pattern recognition with a Bayesian kernel combination machine
T Damoulas, MA Girolami
Pattern Recognition Letters 30 (1), 46-54, 2009
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
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
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
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
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
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
Estimating species distributions–across space, through time and with features of the environment
S Kelling, D Fink, W Hochachka, K Rosenberg, R Cook, T Damoulas, ...
The DATA Bonanza–Improving Knowledge Discovery for Science, Engineering and …, 2013
Mining 911 calls in New York City: temporal patterns, detection and forecasting
A Chohlas-Wood, A Merali, W Reed, T Damoulas
AI for Cities Workshop, Twenty-Ninth AAAI Conference on Artificial …, 2015
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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