Tsakonas, A. and Gabrys, B., 2011. Evolving Takagi-Sugeno-Kang fuzzy systems using multi-population grammar guided genetic programming. In: International Conference on Evolutionary Computation Theory and Applications (ECTA'11), 24-26 Oct 2011, Paris, France. (In Press)

Mazhelis, O., Zliobaite, I. and Pechenizkiy, M., 2011. Context-aware personal route recognition. In: The Fourteenth International Conference on Discovery Science (DS 2011), Espoo, Finland, pp. 365-379.

Zliobaite, I., 2011. Controlled permutations for testing adaptive classifier. In: Fourteenth International Conference on Discovery Science (DS 2011), 5 - 7 Oct 2011, Espoo, Finland, pp. 365-379.

Juszczyszyn, K., Musial, K. and Budka, M., 2011. Link Prediction Based on Subgraph Evolution in Dynamic Social Networks. In: 3rd IEEE International Conference on Social Computing , 9-11 October 2011, Boston, MA, USA. (Submitted)

Zliobaite, I., Bifet, A., Holmes, G. and Pfahringer, B., 2011. MOA Concept Drift Active Learning Strategies for Streaming Data. In: Proceedings of the 2nd Workshop on Applications of Pattern Analysis, JMLR Workshop and Conference Proceedings. JMLR, pp. 48-55.

Zliobaite, I., Bifet, A., Pfahringer, B. and Holmes, G., 2011. Active learning with evolving streaming data. In: The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 5-9 September 2011, Athens, Greece.

Tong, D. L. and Schierz, A. C., 2011. Hybrid genetic algorithm-neural network: feature extraction for unpreprocessed microarray data. Artificial Intelligence in Medicine, 53 (1), pp. 47-56.

Juszczyszyn, K., Musial, K. and Budka, M., 2011. On analysis of complex network dynamics – changes in local topology. The 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SNA-KDD). (In Press)

Dubey, V. N. and Agrawal, S.K., 2011. Study of an Upper Arm Exoskeleton for Gravity Balancing and Minimization of Transmitted Forces. Proceedings of the Institution of Mechanical Engineers, Part H, Journal of Engineering in Medicine, 225 (11), pp. 1025-1035.

Juszczyszyn, K., Budka, M. and Musial, K., 2011. The dynamic structural patterns of social networks based on triad transitions. Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on.

Budka, M., Gabrys, B. and Musial, K., 2011. On accuracy of PDF divergence estimators and their applicability to representative data sampling. Entropy, 13 (6), pp. 1229-1266.

Zliobaite, I., 2011. Combining similarity in time and space for training set formation under concept drift. Intelligent Data Analysis, 15 (4), pp. 589-611.

Dubey, V. N. and Crowder, R. M., 2011. A robotic finger mechanism for robust industrial applications. Industrial Robot, 38 (4), pp. 352-360.

Budka, M. and Gabrys, B., 2011. Electrostatic field framework for supervised and semi–supervised learning from incomplete data. Natural Computing, 10 (2), pp. 921-945.

Lemke, C., Riedel, S. and Gabrys, B., 2011. Evolving forecast combination structures for airline revenue management. Journal of Revenue and Pricing Management. (Submitted)

Bose R. P., J. C., van der Aalst, W. M.P., Zliobaite, I. and Pechenizkiy, M., 2011. Handling concept drift in process mining. In: 23rd International Conference on Advanced Information Systems Engineering, June 20-24 2011, London, UK, pp. 391-405.

Schierz, A. C. and Budka, M., 2011. High--Performance music information retrieval system for song genre classification. In: Proc. of the 19th International Symposium on Methodologies for Intelligent Systems (ISMIS'11), June 2011, Warsaw, Poland, pp. 725-733.

Zliobaite, I., 2011. Identifying hidden contexts. In: PAKDD2011: The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 24-27 May 2011, Shenzhen, China. (In Press)

Kadlec, P. and Gabrys, B., 2011. Local learning-based adaptive soft sensor for catalyst activation prediction. AIChE Journal, 57 (5), pp. 1288-1301.

Vaughan, N., Dubey, V. N., Wee, M. Y. K. and Gabrys, B., 2011. Simulating Epidural Injection: A virtual patient for training. In: SET for Britain, 14 March 2011, House of Commons, London.

Schierz, A. C., Budka, M. and Apeh, E., 2011. Winners’ notes. Using Multi-Resolution Clustering for Music Genre Identification. TunedIT.

Mecheraoui, C., Cobb, J. E. and Swain, I. D., 2011. Wireless network of local stimulators and sensors for people with neurological disabilities. In: 8th European Conference on Wireless Sensor Networks (EWSN 2011), February 23-25, Bonn, Germany. (Unpublished)

Schroeder, J. W., Dubey, V. N., Hickish, T. F. and Cole, J., 2011. Electrocutaneous feedback system to improve the estimation of pressure applied to the foot. In: International Conference on Biomedical Electronics and Devices (BIODEVICES 2011), 26-29 January 2011, Rome, Italy.

Kadlec, P., Grbic, R. and Gabrys, B., 2011. Review of adaptation mechanisms for data-driven soft sensors. Computers and Chemical Engineering, 35 (1), pp. 1-24.

Apeh, E. T., Gabrys, B. and Schierz, A. C., 2011. Customer profile classification using transactional data. In: Third World Congress on Nature and Biologically Inspired Computing (NaBIC), 19-21 Octpber 2011, Salamanca Spain. IEEE, pp. 37-43.

Kazienko, P., Musial, K. and Kajdanowicz, T., 2011. Multidimensional Social Network and Its Application to the Social Recommender System. IEEE Transactions on Systems, Man and Cybernetics - Part A: Systems and Humans, 41 (4), pp. 746-759.

Barmpalexis, P., Kachrimanis, K., Tsakonas, A. and Georgarakis, E., 2011. Symbolic regression via genetic programming in the optimization of a controlled release pharmaceutical formulation. Chemometrics and Intelligent Laboratory Systems, 107 (1), 75 - 82.

Zliobaite, I., 2011. Three data partitioning strategies for building local classifiers. In: Valentini, G., Re, M. and Okun , O., eds. Ensembles in Machine Learning Applications. Springer, Heidelberg. (In Press)