Ranadhir Ghosh

According to our database1, Ranadhir Ghosh authored at least 24 papers between 2002 and 2007.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2007
A Within-Frame Ontological Extension on FrameNet: Application in Predicate Chain Analysis and Question Answering.
Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

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.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

A fully Automated CAD system using Multi-category Feature Selection with Restricted Recombination.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

2006
A Hybrid Neural Learning Algorithm Using Evolutionary Learning and Derivative Free Local Search Method.
Int. J. Neural Syst., 2006

A Variable Initialization Approach to the EM Algorithm for Better Estimation of the Parameters of Hidden Markov Model Based Acoustic Modeling of Speech Signals.
Proceedings of the Advances in Data Mining, 2006

Derivative Free Stochastic Discrete Gradient Method with Adaptive Mutation.
Proceedings of the Advances in Data Mining, 2006

A Hybrid Question Answering Schema Using Encapsulated Semantics in Lexical Resources.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

A Semantic Method to Information Extraction for Decision Support Systems.
Proceedings of the Connecting the Americas. 12th Americas Conference on Information Systems, 2006

A semantic approach to boost passage retrieval effectiveness for question answering.
Proceedings of the Computer Science 2006, 2006

2005
Optimization approach for clustering datasets with weights.
Optim. Methods Softw., 2005

A Fully Automated Breast Cancer Recognition System Using Discrete-Gradient Based Clustering and Multi Category Feature Selection.
J. Adv. Comput. Intell. Intell. Informatics, 2005

Modular Neural Network Design For The Problem Of Alphabetic Character Recognition.
Int. J. Pattern Recognit. Artif. Intell., 2005

An Intelligent Offline Handwriting Recognition System Using Evolutionary Neural Learning Algorithm and Rule Based Over Segmented Data Points.
J. Res. Pract. Inf. Technol., 2005

Determining Regularization Parameters for Derivative Free Neural Learning.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Comparative Analysis of Genetic Algorithm, Simulated Annealing and Cutting Angle Method for Artificial Neural Networks.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2005

Using association and overlapping time window approach to detect drug reaction signals.
Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005

Fusion Strategies for Neural Learning Algorithms using Evolutionary and Discrete Gradient Approaches.
Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, 2005

2004
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., 2004

An Experiment in Task Decomposition and Ensembling for a Modular Artificial Neural Network.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004

An Evolutionary Neural Learning Algorithm for Offline Cursive Handwriting Words with Hamming Neural Network Lexicon.
Proceedings of the Seventeenth International Florida Artificial Intelligence Research Society Conference, 2004

A Modular Framework for Multi category feature selection in Digital mammography.
Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003
A Hierarchical Method for Finding Optimal Architecture and Weights Using Evolutionary Least Square Based Learning.
Int. J. Neural Syst., 2003

Finding Optimal Architectures and Weights for ANN: A Combined Hierarchical Approach.
Proceedings of the AI 2003: Advances in Artificial Intelligence, 2003

2002
A novel evolutionary neural learning algorithm.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002


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