Accessibility navigation


Items where Division is "Department of Computer Science" and Year is 2012

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
[tool] Batch List
Group by: Creators/Editors | Item Type | No Grouping
Number of items: 34.

Badii, A., Einig, M., Tiemann, M., Thiemert, D. and Lallah, C. (2012) Visual context identification for privacy-respecting video analytics. In: IEEE 14th International Workshop on Multimedia Signal Processing (MMSP 2012), 17-19 Sep 2012, Banff, Canada, pp. 366-371.

Cao, Y., Wei, H., Zhao, H. and Li, N. (2012) An effective approach for land-cover classification from airborne lidar fused with co-registered data. International Journal of Remote Sensing, 33 (18). pp. 5927-5953. ISSN 0143-1161 doi: https://doi.org/10.1080/01431161.2012.676746

Chen, H., Gong, Y. and Hong, X. (2012) Adaptive noise cancellation with fast tunable RBF network. In: SSPD 2012: Sensor Signal Processing for Defence, 25-27 September 2012, Imperial College, London.

Ellis, A.-L. (2012) An eye for an eye: robust motion segmentation by applying the latest in human vision research. PhD thesis, University of Reading.

Evans, M., Boyle, J. N. ORCID: https://orcid.org/0000-0002-5785-8046 and Ferryman, J. (2012) Vehicle classification using evolutionary forests. Proceedings of the 1st International Conference on Pattern Recognition Applications and Methods - Volume 1:. pp. 387-393. ISSN 2184-4313 doi: https://doi.org/10.5220/0003763603870393 (ISBN 9789898425997)

Gao, M., Hong, X. and Harris, C. J. (2012) A neurofuzzy classifier for two class problems. In: Proceedings of the UKCI 2012, the 12th UK Workshop on Computational Intelligence. Conference Publications. IEEE, pp. 1-6. ISBN 9781467343916 doi: https://doi.org/10.1109/UKCI.2012.6335763

Gao, M., Hong, X., Chen, S. and Harris, C. J. (2012) Probability density function estimation based over-sampling for imbalanced two-class problems. In: International Joint Conference on Neural Networks, 10-15 June 2012, Brisbane, Australia.

Guo, Y., Gao, J. B. and Hong, X. (2012) Constrained grouped sparsity. In: Thielscher, M. and Zhang, D. (eds.) AI 2012: Advances in Artificial Intelligence - Proceedings of the 25th Australasian Joint Conference. Lecture Notes in Computer Science (7691). Springer, pp. 433-444. ISBN 9783642351006 doi: https://doi.org/10.1007/978-3-642-35101-3_37

Hameed, S. and Badii, A. (2012) Effectiveness and measurement of technology enhanced learning in Higher Education institutions of Pakistan. In: SOLSTICE & CLTR 2012: Enhancing learning, teaching and student success, 13-14 Jun 2012, Edge Hill University, Ormskirk.

Hameed, S. and Badii, A. (2012) Effectiveness of knowledge management functions in improving the quality of education in Higher Education institutions. In: International Conference on Knowledge and Education Technology (ICKET 2012), 7-8 Jul 2012, Paris, France, pp. 319-323.

Hameed, S. and Badii, A. (2012) The role of effective knowledge management in education sector of Pakistan. In: 12th Industrial Conference on Data Mining (ICDM 2012), 16-21 Jul 2012, Berlin, Germany.

Hong, X. and Chen, S. (2012) PSO assisted NURB Neural Network Identification. In: ICIC 2012: the Eighth International Conference on Intelligent Computing, 25-29 July 2012, Huangshan, China.

Hong, X. and Chen, S. (2012) An elastic net orthogonal forward regression algorithm. In: 16th IFAC Symposium on System Identification, 11-13 July 2012, Brussels, Belgium, pp. 1814-1819.

Hong, X., Chen, S. and Harris, C. J. (2012) Construction of radial basis function networks with diversified topologies. In: Wang, L. and Garnier, H. (eds.) System identification, environmental modelling, and control system design. Springer, London, pp. 251-270. ISBN 9780857299734 doi: https://doi.org/10.1007/978-0-85729-974-1_13

Hong, X., Chen, S. and Harris, C. J. (2012) Modelling and inverting complex-valued Wiener systems. In: International Joint Conference on Neural Networks, 10-15 June 2012, Brisbane, Australia.

Hong, X., Iplikci, S., Chen, S. and Warwick, K. (2012) B-spline neural networks based PID controller for Hammerstein systems. In: Huang, D.-S., Gupta, P., Zhang, X. and Premaratne, P. (eds.) Emerging Intelligent Computing Technology and Applications. Communications in Computer and Information Science, 304. Springer, pp. 38-46. doi: https://doi.org/10.1007/978-3-642-31837-5_6

Hong, X. and Chen, S. (2012) The system identification and control of Hammerstein system using non-uniform rational B-spline neural network and particle swarm optimization. Neurocomputing, 82. pp. 216-223. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2011.11.016

Hong, X., Chen, S. and Harris, C. (2012) Using zero-norm constraint for sparse probability density function estimation. International Journal of Systems Science, 43 (11). pp. 2107-2113. ISSN 0020-7721 doi: https://doi.org/10.1080/00207721.2011.564673

Hong, X., Mitchell, R. and Chen, S. (2012) Modelling and control of Hammerstein system using B-spline approximation and the inverse of De Boor algorithm. International Journal of Systems Science, 43 (10). pp. 1976-1984. ISSN 0020-7721 doi: https://doi.org/10.1080/00207721.2011.564320

Hussey, R., Williams, S. and Mitchell, R. (2012) Automatic keyphrase extraction: a comparison of methods. In: eKNOW, Proceedings of The Fourth International Conference on Information Process, and Knowledge Management , Valencia, Spain, pp. 18-23.

Hussey, R., Williams, S., Mitchell, R. and Field, I. (2012) A comparison of automated keyphrase extraction techniques and of automatic evaluation vs. human evaluation. International Journal on Advances in Life Sciences, 4 (3 and 4). pp. 136-153. ISSN 1942-2660

Laing, C., Badii, A. and Vickers, P. (2012) Securing critical infrastructures and critical control systems: approaches for threat protection. IGI Global, Hershey, PA, pp450. ISBN 9781466626591

Li, K., Hong, X., Maione, G. and Niu, Q. (2012) Bio-inspired computing and applications (LSMS-ICSEE, 2010). Neurocomputing, 98. pp. 1-3. ISSN 0925-2312 doi: https://doi.org/10.1016/j.neucom.2012.05.014

Mitchell, R., Harwin, W. ORCID: https://orcid.org/0000-0002-3928-3381, Cadenas Medina, O., Guy, C., Gong, A., Potter, B. and Warwick, K., eds. (2012) Cybernetics, Circuits and Computing. Pearson, Harlow, pp499. ISBN 9781780160672

Molina, S., Soto, I., Sun, L. and Liu, K. (2012) Pervasive environment for gases detection and collapses in underground mines. In: Material Research and Applications. Advanced Materials Research, 875-877. Trans Tech Publications, Durnten-Zurich, Switzerland, pp. 2056-2061. doi: https://doi.org/10.4028/www.scientific.net/AMR.875-877.2056

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Bramer, M. (2012) Computationally efficient induction of classification rules with the PMCRI and J-PMCRI frameworks. Knowledge-Based Systems, 35. pp. 49-63. ISSN 0950-7051 doi: https://doi.org/10.1016/j.knosys.2012.04.014

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Bramer, M. (2012) Jmax-pruning: a facility for the information theoretic pruning of modular classification rules. Knowledge-Based Systems, 29. pp. 12-19. ISSN 0950-7051 doi: https://doi.org/10.1016/j.knosys.2011.06.016

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Bramer, M. (2012) Scaling up classification rule induction through parallel processing. Knowledge Engineering Review. pp. 243-259. ISSN 1469-8005 doi: https://doi.org/10.1017/S0269888912000355

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203 and Jordanov, I. (2012) An overview of the use of neural networks for data mining tasks. WIREs: Data Mining and Knowledge Discovery, 2 (3). pp. 193-208. ISSN 1942-4795 doi: https://doi.org/10.1002/widm.1052

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Gaber, M. M. and Salvador, M. M. (2012) eRules: a modular adaptive classification rule learning algorithm for data streams. In: Bramer, M. and Petridis, M. (eds.) Research and Development in Intelligent Systems XXIX. Springer, London, pp. 65-78. ISBN 9781447147381 doi: https://doi.org/10.1007/978-1-4471-4739-8_5

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, Gaber, M. M., Aldridge, P., May, D., Liu, H., Bramer, M. and Yu, P. S. (2012) Homogeneous and heterogeneous distributed classification for pocket data mining. In: Hameurlain, A., Küng, J. and Wagner, R. (eds.) Transactions on large-scale data and knowledge-centered systems V. Lecture Notes in Computer Science (7100). Springer, pp. 183-205. ISBN 9783642281471

Stahl, F. ORCID: https://orcid.org/0000-0002-4860-0203, May, D. and Bramer, M. (2012) Parallel random prism: a computationally efficient ensemble learner for classification. In: Bramer, M. and Petridis, M. (eds.) Research and Development in Intelligent Systems XXIX. Springer, London, pp. 21-34. ISBN 9781447147381 doi: https://doi.org/10.1007/978-1-4471-4739-8_2 (Proceedings of AI-2012, The Thirty-second SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence)

Wei, H. and Bartels, M. (2012) 3D digital elevation model generation. In: Pears, N., Liu, Y. and Bunting, P. (eds.) 3D imaging, analysis, and applications. Springer, London, pp. 367-415. ISBN 9781447140627 doi: https://doi.org/10.1007/978-1-4471-4063-4

Williams, S., Fleming, S., Lundqvist, K. and Parslow, P. (2012) This is me: digital identity and reputation on the Internet. In: Warburton, S. and Hatzipanagos, S. (eds.) Digital identities and social media. IGI Global, United Kingdom, pp. 104-117. doi: https://doi.org/10.4018/978-1-4666-1915-9

This list was generated on Tue Apr 23 16:36:44 2024 UTC.

Page navigation