Ranadhir Ghosh

25 papers A* 2B 3C 1Misc 1Journal 7Unranked 11

Year	Rank	Type	Title / Venue / Authors
2007	—	`conf`	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 Md. Shamsul Huda, John Yearwood, Ranadhir Ghosh
2007	—	`conf`	A Within-Frame Ontological Extension on FrameNet: Application in Predicate Chain Analysis and Question Answering. Australian Conference on Artificial Intelligence Bahadorreza Ofoghi, John Yearwood, Ranadhir Ghosh
2007	—	`conf`	A fully Automated CAD system using Multi-category Feature Selection with Restricted Recombination. ACIS-ICIS Ranadhir Ghosh, Moumita Ghosh, John Yearwood, Subhasis Mukherjee
2006	J	`jnl`	A Hybrid Neural Learning Algorithm Using Evolutionary Learning and Derivative Free Local Search Method. Int. J. Neural Syst. Ranadhir Ghosh, John Yearwood, Moumita Ghosh, Adil M. Bagirov
2006	—	`conf`	A Hybrid Question Answering Schema Using Encapsulated Semantics in Lexical Resources. Australian Conference on Artificial Intelligence Bahadorreza Ofoghi, John Yearwood, Ranadhir Ghosh
2006	—	`conf`	A Semantic Method to Information Extraction for Decision Support Systems. AMCIS Bahadorreza Ofoghi, John Yearwood, Ranadhir Ghosh
2006	A*	`conf`	A Variable Initialization Approach to the EM Algorithm for Better Estimation of the Parameters of Hidden Markov Model Based Acoustic Modeling of Speech Signals. ICDM Md. Shamsul Huda, Ranadhir Ghosh, John Yearwood
2006	—	`conf`	A semantic approach to boost passage retrieval effectiveness for question answering. ACSC Bahadorreza Ofoghi, John Yearwood, Ranadhir Ghosh
2006	A*	`conf`	Derivative Free Stochastic Discrete Gradient Method with Adaptive Mutation. ICDM Ranadhir Ghosh, Moumita Ghosh, Adil M. Bagirov
2005	J	`jnl`	A Fully Automated Breast Cancer Recognition System Using Discrete-Gradient Based Clustering and Multi Category Feature Selection. J. Adv. Comput. Intell. Intell. Informatics Ranadhir Ghosh, Moumita Ghosh, John Yearwood
2005	J	`jnl`	An Intelligent Offline Handwriting Recognition System Using Evolutionary Neural Learning Algorithm and Rule Based Over Segmented Data Points. J. Res. Pract. Inf. Technol. Ranadhir Ghosh, Moumita Ghosh
2005	—	`conf`	Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks. MLDM Ranadhir Ghosh, Moumita Ghosh, John Yearwood, Adil M. Bagirov
2005	—	`conf`	Determining Regularization Parameters for Derivative Free Neural Learning. MLDM Ranadhir Ghosh, Moumita Ghosh, John Yearwood, Adil M. Bagirov
2005	—	`conf`	Fusion Strategies for Neural Learning Algorithms using Evolutionary and Discrete Gradient Approaches. Artificial Intelligence and Applications Ranadhir Ghosh, John Yearwood, Moumita Ghosh, Adil M. Bagirov
2005	J	`jnl`	Modular Neural Network Design For The Problem Of Alphabetic Character Recognition. Int. J. Pattern Recognit. Artif. Intell. Brent Ferguson, Ranadhir Ghosh, John Yearwood
2005	J	`jnl`	Optimization approach for clustering datasets with weights. Optim. Methods Softw. Ranadhir Ghosh, Alexander M. Rubinov, Jiapu Zhang
2005	—	`conf`	Using association and overlapping time window approach to detect drug reaction signals. CIMCA/IAWTIC Sasha Ivkovic, G. Saunders, Ranadhir Ghosh, John Yearwood
2004	J	`jnl`	A Fully Automated Offline Handwriting Recognition System Incorporating Rule Based Neural Network Validated Segmentation And Hybrid Neural Network Classifier. Int. J. Pattern Recognit. Artif. Intell. Moumita Ghosh, Ranadhir Ghosh, Brijesh K. Verma
2004	B	`conf`	A Modular Framework for Multi category feature selection in Digital mammography. ESANN Ranadhir Ghosh, Moumita Ghosh, John Yearwood
2004	B	`conf`	A feature extraction technique for online handwriting recognition. IJCNN Brijesh K. Verma, Jenny Lu, Moumita Ghosh, Ranadhir Ghosh
2004	Misc	`conf`	An Evolutionary Neural Learning Algorithm for Offline Cursive Handwriting Words with Hamming Neural Network Lexicon. FLAIRS Ranadhir Ghosh, Moumita Ghosh, John Yearwood
2004	C	`conf`	An Experiment in Task Decomposition and Ensembling for a Modular Artificial Neural Network. IEA/AIE Brent Ferguson, Ranadhir Ghosh, John Yearwood
2003	J	`jnl`	A Hierarchical Method for Finding Optimal Architecture and Weights Using Evolutionary Least Square Based Learning. Int. J. Neural Syst. Ranadhir Ghosh, Brijesh K. Verma
2003	—	`conf`	Finding Optimal Architectures and Weights for ANN: A Combined Hierarchical Approach. Australian Conference on Artificial Intelligence Ranadhir Ghosh
2002	B	`conf`	A novel evolutionary neural learning algorithm. IEEE Congress on Evolutionary Computation Brijesh K. Verma, Ranadhir Ghosh