Publications
Manuscripts that are not yet linked here are available upon request.
Google Scholar citations & analysis
*Name in publications below indicates a Master’s student working under my supervision.
T. Damoulas, J. He, R. Bernstein, C. Gomes, A. Arora.
String kernels for complex time-series: Counting targets from sensed movement
International Conference on Pattern Recognition (ICPR), 2014.
D. Fink, T. Damoulas, N. Bruns, F. La Sorte, W. Hochachka, C. Gomes.
Crowdsourcing meets ecology: Hemisphere-wide Spatiotemporal Species Distribution Models
Artificial Intelligence Magazine, 2013.
Y. Xue, B. Dilkina, T. Damoulas, D. Fink, C. Gomes, S. Kelling
Improving Your Chances: Boosting Citizen Science Discovery
First AAAI Conference on Human Computation and Crowdsourcing, HCOMP 2013.
-
S.Kelling, C. Lagoze, W. K. Wong, J. Yu, T. Damoulas, J. Gerbracht, D. Fink, C. Gomes
eBird: A Human/Computer Learning Network to Improve Biodiversity Conservation
Front Cover
Artificial Intelligence Magazine, 34 (1), 2013.
D. Fink, T. Damoulas, *J. Dave
Adaptive Spatio-Temporal Exploratory Models,
Twenty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2013.
R. G. Pearson, S. J. Phillips, M. M. Loranty, P. S. A. Beck, T. Damoulas, S. J. Knight, S. J. Goetz
Shifts in Arctic vegetation and associated feedbacks under climate change.
Front Cover [Impact Factor: 14.472]
Nature Climate Change, 2013.
Publicity: [Nature, Scientific American, Smithsonian, dailymail,
Woods Hole Research Center, HPCwire]
-
S.Kelling, J. Gerbracht, D. Fink, C. Lagoze, W-K. Wong, J. Yu, T. Damoulas, C. Gomes
IAAI Deployed Application Award
eBird: A Human-Computer Learning Network for Biodiversity Conservation and Research
Twenty-Fourth Annual Conference on Innovative Applications of Artificial Intelligence, IAAI 2012.
T. Damoulas, *N. Bruns, A. Farnsworth
Machine Learning Techniques for Automated Flight Call Detection.
Symposium on Bioacoustic Monitoring, 5th North American Ornithological Conference NAOC-V 2012.
-
D.Fink, W. Hochachka, T. Damoulas, *J. Dave, S. Kelling
Exploratory analysis and inference with broad-scale citizen science data.
Ecological Society of America, ESA 2012.
-
R.G. Pearson, S. J. Phillips, P. S. A. Beck, M. M. Loranty, T. Damoulas, S. J. Goetz
Arctic greening under future climate change predicted using Machine Learning.
American Geophysical Union, December 2011.
S. J. Phillips, R. G. Pearson, P. S. A. Beck, M. M. Loranty, S. J. Goetz and T. Damoulas
Estimating vegetation expansion in the Arctic under climate change using Machine Learning.
Society of Conservation Biology, International Congress for Conservation Biology, ICCB 2011.
B. Dilkina, T. Damoulas, C. Gomes, D. Fink
AL2: Learning for Active Learning
Workshop “Machine Learning for Sustainability”, NIPS 2011.
R. LeBras, T. Damoulas, J. M. Gregoire, A. Sabharwal, C. Gomes, R. B. van Dover
Constraint Reasoning and Kernel Clustering for Pattern Decomposition with Scaling.
17th International Conference on Principles and Practise of Constraint Programming, CP 2011.
-
S.Kelling, R. Cook, T. Damoulas, D. Fink, J. Freire, W. Hochachka, W. Michener, K. Rosenberg, C. Silva
Estimating Species Distributions, Across Space Through Time and with Features of the Environment.
Data Intensive Research. Editors: M. Atkinson and P. Brezany. 2011 [In Print].
T. Polajnar, T. Damoulas, Mark A. Girolami
Protein Interaction Sentence Detection using Multiple Semantic Kernels.
Journal of Biomedical Semantics, 2 (1), BMC, 2011.
T. Damoulas, *S. Henry, A. Farnsworth, M. Lanzone, C. Gomes
Best Paper Award
Bayesian Classification of Flight Calls with a novel Dynamic Time Warping Kernel.
9th International Conference on Machine Learning and Applications, Washington, IEEE ICMLA 2010.
[Extended Technical Report] [Matlab Codes] [Data]
R. Le Bras, T. Damoulas, J. Gregoire, A. Sabharwal, Carla Gomes, R. Bruce van Dover
Computational Thinking for Material Discovery: Bridging Constraint Reasoning and Learning.
2nd International Workshop on Constraint Reasoning and Optimization for Computational Sustainability, CROCS’10, Bologna, Italy, 2010.
*I. Psorakis, T. Damoulas, M. A. Girolami
Multiclass Relevance Vector Machines: Sparsity and Accuracy
IEEE Transactions on Neural Networks, 2010.
T. Damoulas and M. A. Girolami
Combining information with a Bayesian multi-class multi-kernel pattern recognition machine.
Machine Interpretation of Patterns: Image Analysis, Data Mining and Bioinformatics. Editors: R. K. De, D. P. Mandal and A. Ghosh, Indian Statistical Institute, World Scientific Press, 2010.
T. Damoulas, M. A. Girolami and S. Rogers
Preliminary Analysis of Multiple Kernel Learning: Flat Maxima, Diversity and Fisher Information.
Workshop “Understanding Multiple Kernel Learning Methods”, Whistler, NIPS 2009.
C. He, T. Damoulas and M. A. Girolami {US Patent}
US Patent 7,942,315
T. Damoulas
Classification Society Distinguished Dissertation Award
Probabilistic Multiple Kernel Learning. PhD Thesis, University of Glasgow, 2009.
Advisor: Prof. Mark. A. Girolami
Committee: Prof. Guido Sanguinetti (External), Prof. Paul Siebert (Internal), Prof. Joemon Jose (Convenor).
[Website][Note: Thesis is not available due to Embargo/Commercial Interests]
T. Damoulas and M. A. Girolami
Combining Feature Spaces for Classification.
Pattern Recognition, 42 (11), 2671-2683, 2009.
T. Damoulas and M. A. Girolami
Pattern Recognition with a Bayesian Kernel Combination Machine.
Pattern Recognition Letters, 30 (1), 46-54, 2009.
Y. Ying, C. Campbell, T. Damoulas and M. A. Girolami
4th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB, 2009.
T. Damoulas and M. A. Girolami
[5-year Impact Factor: 6.911]
Bioinformatics, 24 (10), 1264-1270, 2008.
T. Damoulas, Y. Ying, C. Campbell, M. A. Girolami
7th International Conference on Machine Learning and Applications, San Diego, IEEE ICMLA 2008.
T. Damoulas
Evolving a Sense of Valency. MSc Thesis (Distinction), University of Edinburgh, 2005.
Advisor: Dr. Gillian Hayes.
[Online]
T. Damoulas, I. Cos Aguilera, G. Hayes, T. Taylor
Valency for Adaptive Homeostatic Agents: Relating Evolution and Learning.
In Proceedings of the 8th European Conference on Artificial Life, ECAL 2005.
T. Damoulas, I. Cos Aguilera, G. Hayes
Valency as a mechanism for agent adaptation.
Towards Autonomous Robotic Systems, TAROS 2005.
Commercial Reports
Inferring Sparse Kernel Combinations and Relevance Vectors.
NCR Internal Report, Rev. B. No. 010, April 2009.
Feature Selection of Diverse Signals for Hierarchical Bayesian Kernel Machine.
NCR Internal Report, Rev. B. No. 008, June 2008.
Learning Curve Investigation for Multinomial Probit Classifier.
NCR Internal Report, Rev. B. No. 007, April 2008.
Bayesian Covariate Ranking via Markov chain Monte Carlo on generalized linear regression models.
NCR Internal Report, Rev. B. No. 002, December 2006.
