2007 |
21 | EE | 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 | EE | 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 | EE | 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 | EE | Bahadorreza Ofoghi,
John Yearwood,
Ranadhir Ghosh:
A semantic approach to boost passage retrieval effectiveness for question answering.
ACSC 2006: 95-101 |
17 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Ranadhir Ghosh,
Moumita Ghosh,
John Yearwood,
Adil M. Bagirov:
Determining Regularization Parameters for Derivative Free Neural Learning.
MLDM 2005: 71-79 |
9 | EE | Brent Ferguson,
Ranadhir Ghosh,
John Yearwood:
Modular Neural Network Design For The Problem Of Alphabetic Character Recognition.
IJPRAI 19(2): 249-269 (2005) |
8 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Ranadhir Ghosh:
Finding Optimal Architectures and Weights for ANN: A Combined Hierarchical Approach.
Australian Conference on Artificial Intelligence 2003: 857-865 |
1 | EE | 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) |