S. Dutta, D. Mishra, R. Ganguli and B. Samanta, “Investigation of two Neural Network Ensemble Methods for the Prediction of Bauxite Ore Deposit,” Proceedings of the 6th International Conference on Information Technology, Bhubaneswar, December 22-25, 2003.
 S. Dutta, R. Ganguli and B. Samanta, “Comparative Evaluation of Radial Basis Functions and Kriging for Ore Grade Estimation,” 32nd International Symposium of the application of Computers and Operation research in Mineral Industry, Arizona, USA, 2005, pp. 203-211.
 S. Dutta, D. Misra, R. Ganguli, B. Samanta and S. Ban-dopadhyay, “A Hybrid Ensemble Model of Kriging and Neural Network for Ore Grade Estimation,” International Journal of Surface Mining, Reclamation and Environment, Vol. 20, No. 1, 2006a, pp. 33-46.
 S. Dutta, S. Bandopadhyay and B. Samanta, “Support Vector Machines—An Emerging Technique for Ore Reserve Estimation,” Proceedings of the Sixth International Symposium on Information Technology Applied to Mining (CD), Peruvian Institute of Mining Engineers, 2006b.
 B. Samanta, S. Bandopadhyay, R. Ganguli and S. Dutta, “A Comparative Study of the Performance of Single Neural Network vs. Adaboost Algorithm Based Combination of Multiple Neural Networks for Mineral Resource Estimation,” Journal of South African Institute of Mining and Metallurgy, Vol. 105, No. 4, 2005a, pp. 237-246.
 B. Samanta, R. Ganguli and S. Bandopadhyay, “Comparing the Predictive Performance of Neural Networks with Ordinary Kriging in a Bauxite Deposit,” Transactions of Institute of Mining and Metallurgy, Section A, Mining Technology, Vol. 114, No. 3, 2005b, pp. 129-139.
 R. Ganguli and S. Bandopadhyay, “Dealing with Sparse Data Issues in a Mineral Industry Neural Network Application,” Proceedings Computer Applications in the Mineral Industry (CAMI), Calgary, Alberta, Canada, 2003, pp. 1-5.
 B. Samanta, S. Bandopadhyay and R. Ganguli, “Data Segmentation and Genetic Algorithms for Sparse Data Division in Nome Placer Gold Grade Estimation Using Neural Network and Geostatistics,” Exploration and Mining Geology, Vol. 11, 2004, pp. 69-76.
 S. Dutta and R. Ganguli, “Application of Boosting Algorithm in Neural Network Based Ash Measurement Using Online Ash Analyzers,” 32nd International Symposium of the Application of Computers and Operation Research in Mineral Industry, Arizona, USA, 2005b.
 C. C. Chang and C. Lin, “LIBSVM: A Library for Support Vector Machines,” 2001. Internet Available: http:// www.csie.ntu.edu.tw/~cjlin/libsvm
 S. Dutta, R. Ganguli and B. Samanta, “Investigation of two Neural Network Methods in an Automatic Aapping Exercise,” In: G. Dubois, Ed., European Report on Automatic Mapping Algorithms for Routine and Emergency Monitoring Data. Report on the Spatial Interpolation Comparison (SIC2004) Exercise, Office for Official Publications of the European Communities, Luxembourg, 2005c.