Mahesan Niranjan

	2009
24		Visakan Kadirkamanathan, Guido Sanguinetti, Mark A. Girolami, Mahesan Niranjan, Josselin Noirel: Pattern Recognition in Bioinformatics, 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009. Proceedings Springer 2009
23		Salih Tuna, Mahesan Niranjan: Cross-Platform Analysis with Binarized Gene Expression Data. PRIB 2009: 439-449
22		Bassam Farran, Amirthalingam Ramanan, Mahesan Niranjan: Sequential Hierarchical Pattern Clustering. PRIB 2009: 79-88
	2008
21		Yang Zhang, HongYu Li, Mahesan Niranjan, Peter Rockett: Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering. EuroGP 2008: 325-336
20		Renata da Silva Camargo, Mahesan Niranjan: Mining Protein Database using Machine Learning Techniques. J. Integrative Bioinformatics 5(2): (2008)
19		Sujimarn Suwannaroj, Mahesan Niranjan: Enhancing Automatic Construction of Gene Subnetworks by Integrating Multiple Sources of Information. Signal Processing Systems 50(3): 331-340 (2008)
	2005
18		Joab Winkler, Mahesan Niranjan, Neil D. Lawrence: Deterministic and Statistical Methods in Machine Learning, First International Workshop, Sheffield, UK, September 7-10, 2004, Revised Lectures Springer 2005
	2004
17		Neil D. Lawrence, Marta Milo, Mahesan Niranjan, Penny Rashbass, Stephan Soullier: Reducing the variability in cDNA microarray image processing by Bayesian inference. Bioinformatics 20(4): (2004)
	2003
16		Si Wu, Danmei Chen, Mahesan Niranjan, Shun-ichi Amari: Sequential Bayesian Decoding with a Population of Neurons. Neural Computation 15(5): 993-1012 (2003)
	2001
15		Gaafar M. K. Saleh, Mahesan Niranjan: Speech enhancement using a Bayesian evidence approach. Computer Speech & Language 15(2): 101-125 (2001)
	2000
14		João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee: Hierarchical Bayesian Models for Regularization in Sequential Learning. Neural Computation 12(4): 933-953 (2000)
13		João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee, Arnaud Doucet: Sequential Monte Carlo Methods to Train Neural Network Models. Neural Computation 12(4): 955-993 (2000)
12		João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee: Dynamic Learning with the EM Algorithm for Neural Networks. VLSI Signal Processing 26(1-2): 119-131 (2000)
	1999
11		Gavin Smith, João F. G. de Freitas, Tony Robinson, Mahesan Niranjan: Speech Modelling Using Subspace and EM Techniques. NIPS 1999: 796-802
	1998
10		Martin J. J. Scott, Mahesan Niranjan, Richard W. Prager: Realisable Classifiers: Improving Operating Performance on Variable Cost Problems. BMVC 1998
9		João F. G. de Freitas, Mahesan Niranjan, Arnaud Doucet, Andrew H. Gee: Global Optimisation of Neural Network Models via Sequential Sampling. NIPS 1998: 410-416
8		D. R. Lovell, Christopher R. Dance, Mahesan Niranjan, Richard W. Prager, Kevin J. Dalton, R. Derom: Feature selection using expected attainable discrimination. Pattern Recognition Letters 19(5-6): 393-402 (1998)
	1997
7		João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee: Regularisation in Sequential Learning Algorithms. NIPS 1997
6		Sean B. Holden, Mahesan Niranjan: Average-Case Learning Curves for Radial Basis Function Networks. Neural Computation 9(2): 441-460 (1997)
	1996
5		Mahesan Niranjan: Sequential Tracking in Pricing Financial Options using Model Based and Neural Network Approaches. NIPS 1996: 960-966
	1995
4		Sean B. Holden, Mahesan Niranjan: On the practical applicability of VC dimension bounds. Neural Computation 7(6): 1265-1288 (1995)
	1993
3		Visakan Kadirkamanathan, Mahesan Niranjan: A Function Estimation Approach to Sequential Learning with Neural Networks. Neural Computation 5(6): 954-975 (1993)
	1990
2		Mahesan Niranjan, Frank Fallside: Speech Feature Extraction Using Neural Networks. EURASIP Workshop 1990: 197-204
1		Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside: Sequential Adaptation of Radial Basis Function Networks. NIPS 1990: 721-727

Coauthor Index

1	Shun-ichi Amari	[16]
2	Renata da Silva Camargo	[20]
3	Danmei Chen	[16]
4	Kevin J. Dalton	[8]
5	Christopher R. Dance	[8]
6	R. Derom	[8]
7	Arnaud Doucet	[9] [13]
8	Frank Fallside	[1] [2]
9	Bassam Farran	[22]
10	João F. G. de Freitas	[7] [9] [11] [12] [13] [14]
11	Andrew H. Gee	[7] [9] [12] [13] [14]
12	Mark A. Girolami (Mark Girolami)	[24]
13	Sean B. Holden	[4] [6]
14	Visakan Kadirkamanathan	[1] [3] [24]
15	Neil D. Lawrence	[17] [18]
16	HongYu Li	[21]
17	D. R. Lovell	[8]
18	Marta Milo	[17]
19	Josselin Noirel	[24]
20	Richard W. Prager	[8] [10]
21	Amirthalingam Ramanan	[22]
22	Penny Rashbass	[17]
23	Tony Robinson	[11]
24	Peter Rockett	[21]
25	Gaafar M. K. Saleh	[15]
26	Guido Sanguinetti	[24]
27	Martin J. J. Scott	[10]
28	Gavin Smith	[11]
29	Stephan Soullier	[17]
30	Sujimarn Suwannaroj	[19]
31	Salih Tuna	[23]
32	Joab Winkler	[18]
33	Si Wu	[16]
34	Yang Zhang	[21]

Colors in the list of coauthors