J3 Anagnostopoulos, C.,~and Tasoulis, D.,~and Adams, N.M.,~and Hand, D.J. Online Linear and Quadratic Discriminant Analysis with adaptive forgetting for streaming classification. Statistical Analysis and Data Mining, accepted 2011
J2 Anagnostopoulos, C.~and Adams, N.M.~and Hand, D.J., Streaming Covariance Selection with Applications to Adaptive Querying in Sensor Networks, The Computer Journal, 2010, DOI 10.1093/comjnl/bxp123, [preprint]
J1 Adams, N.M.~and Anagnostopoulos, C.~and Hand, D.J.,~and Tasoulis, D., Temporally adaptive estimation of logistic classifiers on data streams, Journal of Advances in Data Analysis and Classification (ADAC), October 2009, DOI 10.1007/s11634-009-0051-x, [available online, code]
C4 Adams, N.M. and Tasoulis, D.K. and Anagnostopoulos, C., and Hand, D.J., Temporally-Adaptive Linear Classification for Handling Population Drift in Credit Scoring, in Lechevallier, Y. And Saporta. (eds), Proceedings of the 19th International Conference on Computational Statistics, 2010, Springer, 167-176, COMPSTAT2010
C3 Anagnostopoulos, C.~and Adams, N.M.~and Hand, D.J.,~and Tasoulis, D., Online optimisation for variable selection in data streams, Proc. of the 18th Europ. Conference on Artificial Intelligence, pp 132 -- 136, ECAI 2008,[preprint]
C2 Anagnostopoulos, C.~and Adams, N.M., Simulating dynamic covariance structures for testing the adaptive behaviour of variable selection algorithms, Proc. of the 10th Int. Conference on Computer Modelling and Simulation, pp 52--57, UKSIM/EUROSIM 2008, [preprint]
C1 Anagnostopoulos, C.~and Adams, N.M.~and Hand, D.J., Deciding what to observe next: adaptive variable selection for regression in multivariate data streams, Proc. of ACM SAC, Vol. 2, pp 961--965, 2008, [preprint]
JX2 Anagnostopoulos, C.,~and Leslie,D., Online, Temporally adaptive Expectation-Maximisation via self-tuning learning rates, work in progress, preprint to be made available soon.
JX1 Weston, D.J., ~and Anagnostopoulos, C., ~and Tasoulis, D.K., ~and Adams, N.M., ~and Hand, D.J., Handling Missing Feature Values for a Streaming Quadratic Discriminant Classifier, Data Mining and Knowledge Discovery, submitted 2010
O3 Anagnostopoulos, C., Contribution to the Discussion of ``Maximum Likelihood Estimation of a multi-dimensional log-concave density'' by M. Cule, R. Samworth and M. Stewart, to appear in Journal of the Royal Statistical Society, Series B, 2010.
O2 Anagnostopoulos, C. ~and Tasoulis, D., Contribution to the Discussion of ``Sure Independence Screening for ultrahigh dimensional feature space'' by Fan, J. and Lv, J., Journal of the Royal Statistical Society, Series B (Methodological), Vol 70, Issue 5, p 890, 2008
O1 Anagnostopoulos, C.~and Turnbull, M.C., A Note on Learning Linear Gaussian State-Space Models via Expectation -- Maximization, Technical Report [ TR-07-03 ], Imperial College, 2007.
canagnos [at] imperial [dot] ac [dot] uk