2008 | ||
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40 | EE | Kent C. B. Steer, Andrew Wirth, Saman K. Halgamuge: Information Theoretic Classification of Problems for Metaheuristics. SEAL 2008: 319-328 |
39 | EE | Ramy Saad, Saman K. Halgamuge, Jason Li: Polynomial kernel adaptation and extensions to the SVM classifier learning. Neural Computing and Applications 17(1): 19-25 (2008) |
2007 | ||
38 | EE | Jason Li, Saman K. Halgamuge: Improving Training Speed of Support Vector Machines by Creating Exploitable Trends of Lagrangian Variables: An Application to DNA Splice Site Detection. FBIT 2007: 230-233 |
37 | EE | Chon-Kit Kenneth Chan, Arthur L. Hsu, Sen-Lin Tang, Saman K. Halgamuge: A Method for Evaluating Quality of Clustering DNA Fragments Encoded in Different Nucleotide Frequencies. FBIT 2007: 60-63 |
36 | EE | Siddeswara Mayura Guru, Matthias Steinbrecher, Saman K. Halgamuge, Rudolf Kruse: Multiple Cluster Merging and Multihop Transmission in Wireless Sensor Networks. GPC 2007: 89-99 |
35 | EE | A. K. M. A. Baten, Saman K. Halgamuge, Bill C. H. Chang, Nalin Wickramarachchi: Biological Sequence Data Preprocessing for Classification: A Case Study in Splice Site Identification. ISNN (2) 2007: 1221-1230 |
34 | EE | Rajinda Senaratne, David Hardy, Bill Vanderaa, Saman K. Halgamuge: Driver Fatigue Detection by Fusing Multiple Cues. ISNN (2) 2007: 801-809 |
33 | EE | Yu Zheng Zhai, Arthur L. Hsu, Saman K. Halgamuge: Combining News and Technical Indicators in Daily Stock Price Trends Prediction. ISNN (3) 2007: 1087-1096 |
32 | EE | Alan Koncar, Holger Janßen, Saman K. Halgamuge: Gabor wavelet similarity maps for optimising hierarchical road sign classifiers. Pattern Recognition Letters 28(2): 260-267 (2007) |
2006 | ||
31 | EE | Champake Mendis, Siddeswara Mayura Guru, Saman K. Halgamuge, Saman Fernando: Optimized Sink node Path using Particle Swarm Optimization. AINA (2) 2006: 388-394 |
30 | EE | Rajinda Senaratne, Saman K. Halgamuge: Optimised Landmark Model Matching for Face Recognition. FG 2006: 120-125 |
29 | EE | Arthur L. Hsu, Saman K. Halgamuge: Semi-supervised Learning of Dynamic Self-Organising Maps. ICONIP (1) 2006: 915-924 |
28 | EE | Yu Zheng Zhai, Arthur L. Hsu, Saman K. Halgamuge: Scalable Dynamic Self-Organising Maps for Mining Massive Textual Data. ICONIP (3) 2006: 260-267 |
27 | EE | M. A. Karim, Saman K. Halgamuge, A. J. R. Smith, Arthur L. Hsu: Manufacturing Yield Improvement by Clustering. ICONIP (3) 2006: 526-534 |
26 | EE | Suhinthan Maheswararajah, Saman K. Halgamuge: Sensor Scheduling For Target Tracking Using Particle Swarm Optimization. VTC Spring 2006: 573-577 |
25 | EE | Rajinda Senaratne, Saman K. Halgamuge: Optimal Weighting of Landmarks for Face Recognition. Journal of Multimedia 1(3): 31-41 (2006) |
2005 | ||
24 | Saman K. Halgamuge, Lipo Wang: Computational Intelligence for Modelling and Prediction Springer 2005 | |
23 | Saman K. Halgamuge, Lipo Wang: Classification and Clustering for Knowledge Discovery Springer 2005 | |
22 | EE | S. Patchararungruang, Saman K. Halgamuge, N. Shenoy: Optimized rule-based delay proportion adjustment for proportional differentiated services. IEEE Journal on Selected Areas in Communications 23(2): 261-276 (2005) |
21 | EE | Siddeswara Mayura Guru, Arthur L. Hsu, Saman K. Halgamuge, Saman Fernando: An Extended Growing Self-Organizing Map for Selection of Clusters in Sensor Networks. IJDSN 1(2): 227-243 (2005) |
2004 | ||
20 | EE | Bill C. H. Chang, Asanga Ratnaweera, Saman K. Halgamuge, Harry C. Watson: Particle Swarm Optimisation for Protein Motif Discovery. Genetic Programming and Evolvable Machines 5(2): 203-214 (2004) |
19 | Asanga Ratnaweera, Saman K. Halgamuge, Harry C. Watson: Self-Organizing Hierarchical Particle Swarm Optimizer With Time-Varying Acceleration Coefficients. IEEE Trans. Evolutionary Computation 8(3): 240-255 (2004) | |
18 | EE | Ramy Saad, Saman K. Halgamuge: Stability of hierarchical fuzzy systems generated by Neuro-Fuzzy. Soft Comput. 8(6): 409-416 (2004) |
2003 | ||
17 | Kenneth Chan, N. Kansara, M. Mirbagheri, Siddeswara Mayura Guru, Saman K. Halgamuge, Saman Fernando: Development of Hybrid Interface for Intelligent Sensor Management. HIS 2003: 820-829 | |
16 | Arthur L. Hsu, Sen-Lin Tang, Saman K. Halgamuge: An unsupervised hierarchical dynamic self-organizing approach to cancer class discovery and marker gene identification in microarray data. Bioinformatics 19(16): 2131-2140 (2003) | |
15 | EE | Bill C. H. Chang, Saman K. Halgamuge: Approximate symbolic pattern matching for protein sequence data. Int. J. Approx. Reasoning 32(2-3): 171-186 (2003) |
14 | EE | Arthur L. Hsu, Saman K. Halgamuge: Enhancement of topology preservation and hierarchical dynamic self-organising maps for data visualisation. Int. J. Approx. Reasoning 32(2-3): 259-279 (2003) |
2002 | ||
13 | Lipo Wang, Saman K. Halgamuge, Xin Yao: FSDK'02, Proceedings of the 1st International Conference on Fuzzy Systems and Knowledge Discovery: Computational Intelligence for the E-Age, 2 Volumes, November 18-22, 2002, Orchid Country Club, Singapore FSKD 2002 | |
12 | Siddeswara Mayura Guru, Gavin McRae, Saman K. Halgamuge, Saman Fernando: Cost Effective selection of Sensor Node Clusters. FSKD 2002: 259-263 | |
11 | Asanga Ratnaweera, Saman K. Halgamuge, Harry C. Watson: Particle Swarm Optimization with Self-Adaptive Acceleration Coefficients. FSKD 2002: 264-268 | |
10 | D. M. G. Preethichandra, Arthur L. Hsu, Damminda Alahakoon, Saman K. Halgamuge: A Modified Dynamic Self-Organizing Map Algorithm for Efficient Hardware Implementation. FSKD 2002: 646-650 | |
9 | Bill C. H. Chang, Saman K. Halgamuge: Protein motif extraction with neuro-fuzzy optimization. Bioinformatics 18(8): 1084-1090 (2002) | |
1998 | ||
8 | Damminda Alahakoon, Saman K. Halgamuge, B. Srinivasan: A Structure Adapting Feature Map for Optimal Cluster Representation. ICONIP 1998: 809-812 | |
1996 | ||
7 | EE | Saman K. Halgamuge: Multiple shape basis function networks for rule based analysis of data. ANZIIS 1996: 113-116 |
1995 | ||
6 | EE | Saman K. Halgamuge, Christoph Grimm, Manfred Glesner: A sub Bayesian nearest prototype neural network with fuzzy interpretability for diagnosis problems. SAC 1995: 445-449 |
5 | EE | Saman K. Halgamuge, Alain Brichard, Manfred Glesner: Comparison of a heuristic method with a genetic algorithm for generation of compact rule based classifiers. SAC 1995: 580-585 |
4 | EE | Saman K. Halgamuge, Werner Poechmueller, Manfred Glesner: An alternative approach for generation of membership functions and fuzzy rules based on radial and cubic basis function networks. Int. J. Approx. Reasoning 12(3-4): 279-298 (1995) |
3 | EE | Saman K. Halgamuge, Manfred Glesner: Fuzzy neural networks: between functional equivalence and applicability. Int. J. Neural Syst. 6(2): 185-196 (1995) |
1994 | ||
2 | Thomas Hollstein, Saman K. Halgamuge, Andreas Kirschbaum, Manfred Glesner: Rapid-Prototyping von anwendungsspezifischen Fuzzy Controllern mit Field Programmable Gate Arrays. Fuzzy Days 1994: 8-14 | |
1 | EE | Saman K. Halgamuge, Manfred Glesner: Fuzzy neural fusion techniques for industrial applications. SAC 1994: 136-141 |