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Tom Gedeon
List of publications from the DBLP Bibliography Server - FAQ
2009 | ||
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63 | EE | L. Andrew Coward, Tamás D. Gedeon: Implications of resource limitations for a conscious machine. Neurocomputing 72(4-6): 767-788 (2009) |
2008 | ||
62 | EE | Sukanya Manna, Tom Gedeon: A Term Association Inference Model for Single Documents: A Stepping Stone for Investigation through Information Extraction. ISI Workshops 2008: 14-20 |
61 | EE | Dingyun Zhu, Tom Gedeon: Fuzzy Logic for Cooperative Robot Communication. KES-AMSTA 2008: 401-410 |
60 | EE | Zhiheng Huang, Tamás D. Gedeon, Masoud Nikravesh: Pattern Trees Induction: A New Machine Learning Method. IEEE T. Fuzzy Systems 16(4): 958-970 (2008) |
2007 | ||
59 | EE | Tamás D. Gedeon: Neural Network for Modeling Esthetic Selection. ICONIP (2) 2007: 666-674 |
58 | EE | Zhiheng Huang, Masoud Nikravesh, Ben Azvine, Tamás D. Gedeon: Weighted Pattern Trees: A Case Study with Customer Satisfaction Dataset. IFSA (1) 2007: 395-406 |
57 | EE | Kok Wai Wong, Tamás D. Gedeon, László T. Kóczy: Fuzzy Signature and Cognitive Modelling for Complex Decision Model. IFSA (2) 2007: 380-389 |
56 | EE | Kok Wai Wong, Tamás D. Gedeon, Chun Che Fung: Editorial. JACIII 11(3): 259-260 (2007) |
55 | EE | Tamás D. Gedeon, László T. Kóczy, Alessandro Zorat: Optimal Size Fuzzy Models. JACIII 11(3): 335-341 (2007) |
2006 | ||
54 | EE | B. S. U. Mendis, Tamás D. Gedeon, János Botzheim, László T. Kóczy: Generalised Weighted Relevance Aggregation Operators for Hierarchical Fuzzy Signatures. CIMCA/IAWTIC 2006: 198 |
53 | EE | Tom Gedeon: Is That Possible? (Or is it Probable?). HIS 2006: 1 |
52 | EE | B. S. U. Mendis, Tamás D. Gedeon, László T. Kóczy: Learning Generalized Weighted Relevance Aggregation Operators Using Levenberg-Marquardt Method. HIS 2006: 34 |
51 | EE | Pawalai Kraipeerapun, Chun Che Fung, Warick Brown, Kok Wai Wong, Tamás D. Gedeon: Uncertainty in Mineral Prospectivity Prediction. ICONIP (2) 2006: 841-849 |
2005 | ||
50 | EE | Tina T. Zhou, Tom Gedeon, Jesse S. Jin: Automatic generating detail-on-demand hypervideo using MPEG-7 and SMIL. ACM Multimedia 2005: 379-382 |
49 | Kok Wai Wong, Chun Che Fung, Yew-Soon Ong, Tamás D. Gedeon: Reservoir Characterization Using Support Vector Machines. CIMCA/IAWTIC 2005: 354-359 | |
48 | EE | Kok Wai Wong, Domonkos Tikk, Tamás D. Gedeon, László T. Kóczy: Fuzzy rule interpolation for multidimensional input spaces with applications: a case study. IEEE T. Fuzzy Systems 13(6): 809-819 (2005) |
2004 | ||
47 | EE | Kok Wai Wong, Chun Che Fung, Tamás D. Gedeon, D. Chai: Intelligent data mining and personalisation for customer relationship management. ICARCV 2004: 1796-1801 |
46 | EE | L. Andrew Coward, Tamás D. Gedeon, Uditha Ratnayake: Managing Interference Between Prior and Later Learning. ICONIP 2004: 458-464 |
45 | EE | Péter Baranyi, László T. Kóczy, Tamás D. Gedeon: A generalized concept for fuzzy rule interpolation. IEEE T. Fuzzy Systems 12(6): 820-837 (2004) |
2003 | ||
44 | Tamás D. Gedeon, Lance Chun Che Fung: AI 2003: Advances in Artificial Intelligence, 16th Australian Conference on Artificial Intelligence, Perth, Australia, December 3-5, 2003, Proceedings Springer 2003 | |
43 | EE | Domonkos Tikk, László T. Kóczy, Tamás D. Gedeon: A survey on universal approximation and its limits in soft computing techniques. Int. J. Approx. Reasoning 33(2): 185-202 (2003) |
42 | EE | Kok Wai Wong, Patrick M. Wong, Tamás D. Gedeon, Chun Che Fung: Rainfall prediction model using soft computing technique. Soft Comput. 7(6): 434-438 (2003) |
2002 | ||
41 | EE | Uditha Ratnayake, Tamás D. Gedeon, Nalin Wickramarachchi: Document Classification with Recommendation Architecture: Extensions for Feature Intensity Recognition and Column Labeling. ADCS 2002 |
40 | Kok Wai Wong, Domonkos Tikk, G. Biró, Tamás D. Gedeon: Intelligent Well Log Data Analysis: A Comparison Study. FSKD 2002: 71-75 | |
39 | EE | Domonkos Tikk, István Joó, László T. Kóczy, Péter Várlaki, Bernhard Moser, Tamás D. Gedeon: Stability of interpolative fuzzy KH controllers. Fuzzy Sets and Systems 125(1): 105-119 (2002) |
38 | EE | László T. Kóczy, Tamás D. Gedeon, Judit A. Kóczy: Fuzzy tolerance relations and relational maps applied to information retrieval. Fuzzy Sets and Systems 126(1): 49-61 (2002) |
2001 | ||
37 | Tamás D. Gedeon, Kok Wai Wong, Domonkos Tikk: Constructing Heirarchical Fuzzy Rule Bases for Classification. FUZZ-IEEE 2001: 1388-1391 | |
36 | Alex Chong, Tamás D. Gedeon, Kok Wai Wong, László T. Kóczy: A Histogram-based Rule Extraction Technique for Fuzzy Systems. FUZZ-IEEE 2001: 638-641 | |
35 | EE | Kok Wai Wong, László T. Kóczy, Tamás D. Gedeon, Alex Chong, Domonkos Tikk: Improvement of the Cluster Searching Algorithm in Sugeno and Yasukawa's Qualitative Modeling Approach. Fuzzy Days 2001: 536-549 |
34 | Alex Chong, Tamás D. Gedeon, Kok Wai Wong: Histogram-Based Fuzzy Clustering and its Comparison to Fuzzy C-Means Clustering in One-Dimensional Data. HIS 2001: 253-267 | |
33 | EE | L. Andrew Coward, Tom Gedeon, William Kenworthy: Application of the Recommendation Architecture to Telecommunications Network Management. Int. J. Neural Syst. 11(4): 323-327 (2001) |
2000 | ||
32 | EE | Kok Wai Wong, Chun Che Fung, Tamás D. Gedeon: Fuzzy Hydrocyclone Modelling for Particle Separation Using Fuzzy Rule Interpolation. IDEAL 2000: 103-108 |
31 | EE | Young J. Rho, Tamás D. Gedeon: Academic Articles on the Web: Reading Patterns and Formats. Int. J. Hum. Comput. Interaction 12(2): 219-240 (2000) |
30 | EE | László T. Kóczy, Kaoru Hirota, Tamás D. Gedeon: Fuzzy Rule Interpolation by the Conservation of Relative Fuzziness. JACIII 4(1): 95-101 (2000) |
29 | Tamás D. Gedeon: Multimedia Information Compression Technologies. JACIII 4(6): 401-402 (2000) | |
28 | EE | M. Shamim Khan, Alex Chong, Tamás D. Gedeon: A Methodology for Developing Adaptive Fuzzy Cognitive Maps for Decision Support. JACIII 4(6): 403-407 (2000) |
27 | EE | Jesse S. Jin, Henry C. Wang, Tamás D. Gedeon: Indexing Visual Features Using a Hybrid Neural Network. JACIII 4(6): 412-416 (2000) |
26 | Uma Srinivasan, Anne H. H. Ngu, Tamás D. Gedeon: Managing heterogeneous information systems through discovery and retrieval of generic concepts. JASIS 51(8): 707-723 (2000) | |
1999 | ||
25 | B. J. Briedis, Tamás D. Gedeon: A New Approach to Indexing in High-Dimensional Space. Australasian Database Conference 1999: 1-12 | |
24 | Bai-ling Zhang, Tamás D. Gedeon: Extended Nonlinear Hebbian Learning for Developing Sparse-Distributed Representation. IWANN (1) 1999: 442-449 | |
23 | Nick K. Treadgold, Tamás D. Gedeon: A Constructive Cascade Network with Adaptive Regularisation. IWANN (2) 1999: 40-49 | |
22 | EE | Nick K. Treadgold, Tamás D. Gedeon: Exploring constructive cascade networks. IEEE Transactions on Neural Networks 10(6): 1335-1350 (1999) |
21 | Patrick M. Wong, Tamás D. Gedeon: A Pattern Adaptive Technique to Handle Data Quality Variation. Neural Processing Letters 10(1): 7-15 (1999) | |
20 | EE | Jose Antonio Catalan, Jesse S. Jin, Tamás D. Gedeon: Reducing the Dimensions of Texture Features for Image Retrieval Using Multi-layer Neural Networks. Pattern Anal. Appl. 2(2): 196-203 (1999) |
1998 | ||
19 | Nick K. Treadgold, Tamás D. Gedeon: Adaptive Regularization in a Constructive Cascade Network. ICONIP 1998: 805-808 | |
18 | Nick K. Treadgold, Tamás D. Gedeon: Constructing Higher Order Neurons of Increasing Complexity in Cascade Networks. IEA/AIE (Vol. 2) 1998: 557-563 | |
17 | EE | Péter Baranyi, P. Aradi, László T. Kóczy, Tamás D. Gedeon: Specialised neural network for learning synonyms and related concepts in large document collections. KES (1) 1998: 206-212 |
16 | EE | Nick K. Treadgold, Tamás D. Gedeon: Simulated annealing and weight decay in adaptive learning: the SARPROP algorithm. IEEE Transactions on Neural Networks 9(4): 662-668 (1998) |
15 | EE | Péter Baranyi, László T. Kóczy, Tamás D. Gedeon: Improved Fuzzy and Neural Network Algorithms for Word Frequency Prediction in Document Filtering. JACIII 2(3): 88-95 (1998) |
1997 | ||
14 | Nick K. Treadgold, Tamás D. Gedeon: Extending and Benchmarking the CasPer Algorithm. Australian Joint Conference on Artificial Intelligence 1997: 398-406 | |
13 | Tamás D. Gedeon, R. A. Bustos, B. J. Briedis, Graham Greenleaf, Andrew Mowbray: Word-Concept Clusters in a Legal Document Collection. Fuzzy Days 1997: 329-336 | |
12 | Patrick M. Wong, Kok Wai Wong, Chun Che Fung, Tamás D. Gedeon: A Neural-Fuzzy Technique for Interpolating Spatial Data via the Use of Learning Curve. IWANN 1997: 323-329 | |
11 | Nick K. Treadgold, Tamás D. Gedeon: A Cascade Network Algorithm Employing Progressive RPROP. IWANN 1997: 733-742 | |
10 | EE | Tamás D. Gedeon: Data Mining of Inputs: Analysing Magnitude and Functional Measures. Int. J. Neural Syst. 8(2): 209-218 (1997) |
1996 | ||
9 | EE | Tamás D. Gedeon, G. A. Mann, W. H. Wilson, R. A. Bustos: Separation of basic competency acquisition from advanced material in teaching and assessment in an undergraduate computing subject. ACSE 1996: 287-294 |
8 | Tamás D. Gedeon: The Cyclic Towers of Hanoi: An Iterative Solution Produced by Transformation. Comput. J. 39(4): 353-356 (1996) | |
1995 | ||
7 | EE | Tamás D. Gedeon: Indicators of hidden neuron functionality: the weight matrix versus neuron behaviour. ANNES 1995: 26-29 |
6 | Uma Srinivasan, Anne H. H. Ngu, Tamás D. Gedeon: Concept Clustering for Cooperation in Heterogeneous Information Systems. DS-6 1995: 481-499 | |
5 | A. F. Nejad, Tamás D. Gedeon: Bidirectional Neural Networks Reduce Generalization Error. IWANN 1995: 543-550 | |
4 | Tamás D. Gedeon, Patrick M. Wong, D. Harris: Balancing Bias and Variance: Network Topology and Pattern Set Reduction Techniques. IWANN 1995: 551-558 | |
1993 | ||
3 | P. Slade, Tamás D. Gedeon: Bimodal Distribution Removal. IWANN 1993: 249-254 | |
1992 | ||
2 | Tamás D. Gedeon: The Reve's Puzzle: An Iterative Solution Produced by Transformation. Comput. J. 35(2): 186-187 (1992) | |
1986 | ||
1 | Jeffrey S. Rohl, Tamás D. Gedeon: The Reve's Puzzle. Comput. J. 29(2): 187-188 (1986) |