Ranadhir Ghosh

	2007
21		Ranadhir Ghosh, Moumita Ghosh, John Yearwood, Subhasis Mukherjee: A fully Automated CAD system using Multi-category Feature Selection with Restricted Recombination. ACIS-ICIS 2007: 106-111
20		Md. Shamsul Huda, John Yearwood, Ranadhir Ghosh: A Hybrid Algorithm for Estimation of the Parameters of Hidden Markov Model based Acoustic Modeling of Speech Signals using Constraint-Based Genetic Algorithm and Expectation Maximization. ACIS-ICIS 2007: 438-443
19		Bahadorreza Ofoghi, John Yearwood, Ranadhir Ghosh: A Within-Frame Ontological Extension on FrameNet: Application in Predicate Chain Analysis and Question Answering. Australian Conference on Artificial Intelligence 2007: 404-414
	2006
18		Bahadorreza Ofoghi, John Yearwood, Ranadhir Ghosh: A semantic approach to boost passage retrieval effectiveness for question answering. ACSC 2006: 95-101
17		Bahadorreza Ofoghi, John Yearwood, Ranadhir Ghosh: A Hybrid Question Answering Schema Using Encapsulated Semantics in Lexical Resources. Australian Conference on Artificial Intelligence 2006: 1276-1280
16		Ranadhir Ghosh, Moumita Ghosh, Adil M. Bagirov: Derivative Free Stochastic Discrete Gradient Method with Adaptive Mutation. Industrial Conference on Data Mining 2006: 264-278
15		Md. Shamsul Huda, Ranadhir Ghosh, John Yearwood: A Variable Initialization Approach to the EM Algorithm for Better Estimation of the Parameters of Hidden Markov Model Based Acoustic Modeling of Speech Signals. Industrial Conference on Data Mining 2006: 416-430
14		Ranadhir Ghosh, John Yearwood, Moumita Ghosh, Adil M. Bagirov: A Hybrid Neural Learning Algorithm Using Evolutionary Learning and Derivative Free Local Search Method. Int. J. Neural Syst. 16(3): 201-214 (2006)
	2005
13		Ranadhir Ghosh, John Yearwood, Moumita Ghosh, Adil M. Bagirov: Fusion Strategies for Neural Learning Algorithms using Evolutionary and Discrete Gradient Approaches. Artificial Intelligence and Applications 2005: 761-766
12		Sasha Ivkovic, G. Saunders, Ranadhir Ghosh, John Yearwood: Using association and overlapping time window approach to detect drug reaction signals. CIMCA/IAWTIC 2005: 1045-1053
11		Ranadhir Ghosh, Moumita Ghosh, John Yearwood, Adil M. Bagirov: Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks. MLDM 2005: 62-70
10		Ranadhir Ghosh, Moumita Ghosh, John Yearwood, Adil M. Bagirov: Determining Regularization Parameters for Derivative Free Neural Learning. MLDM 2005: 71-79
9		Brent Ferguson, Ranadhir Ghosh, John Yearwood: Modular Neural Network Design For The Problem Of Alphabetic Character Recognition. IJPRAI 19(2): 249-269 (2005)
8		Ranadhir Ghosh, Moumita Ghosh, John Yearwood: A Fully Automated Breast Cancer Recognition System Using Discrete-Gradient Based Clustering and Multi Category Feature Selection. JACIII 9(3): 244-256 (2005)
7		Ranadhir Ghosh, Moumita Ghosh: An Intelligent Offline Handwriting Recognition System Using Evolutionary Neural Learning Algorithm and Rule Based Over Segmented Data Points. Journal of Research and Practice in Information Technology 37(1): (2005)
	2004
6		Ranadhir Ghosh, Moumita Ghosh, John Yearwood: A Modular Framework for Multi category feature selection in Digital mammography. ESANN 2004: 175-180
5		Ranadhir Ghosh, Moumita Ghosh, John Yearwood: An Evolutionary Neural Learning Algorithm for Offline Cursive Handwriting Words with Hamming Neural Network Lexicon. FLAIRS Conference 2004
4		Brent Ferguson, Ranadhir Ghosh, John Yearwood: An Experiment in Task Decomposition and Ensembling for a Modular Artificial Neural Network. IEA/AIE 2004: 97-106
3		Moumita Ghosh, Ranadhir Ghosh, Brijesh Verma: A Fully Automated Offline Handwriting Recognition System Incorporating Rule Based Neural Network Validated Segmentation And Hybrid Neural Network Classifier. IJPRAI 18(7): 1267-1283 (2004)
	2003
2		Ranadhir Ghosh: Finding Optimal Architectures and Weights for ANN: A Combined Hierarchical Approach. Australian Conference on Artificial Intelligence 2003: 857-865
1		Ranadhir Ghosh, Brijesh Verma: A Hierarchical Method for Finding Optimal Architecture and Weights Using Evolutionary Least Square Based Learning. Int. J. Neural Syst. 13(1): 13-24 (2003)

Coauthor Index

1	Adil M. Bagirov	[10] [11] [13] [14] [16]
2	Brent Ferguson	[4] [9]
3	Moumita Ghosh	[3] [5] [6] [7] [8] [10] [11] [13] [14] [16] [21]
4	Md. Shamsul Huda	[15] [20]
5	Sasha Ivkovic	[12]
6	Subhasis Mukherjee	[21]
7	Bahadorreza Ofoghi	[17] [18] [19]
8	G. Saunders	[12]
9	Brijesh Verma	[1] [3]
10	John Yearwood	[4] [5] [6] [8] [9] [10] [11] [12] [13] [14] [15] [17] [18] [19] [20] [21]