Publications

Book

  1. Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging
  

Rough-Fuzzy Pattern Recognition
Pradipta Maji and Sankar K. Pal

John Wiley & Sons, Inc., New Jersey/IEEE Computer Society Press
ISBN: 978-1-1180-0440-1, Pages 312, January, 2012

Foreword by: Prof. Andrzej Skowron, University of Warsaw, Poland    

Description:   Learn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing

Emphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems development, making it easier to master such tasks as classification, clustering, and feature selection.  Numerous examples and case studies help readers better understand how pattern recognition models are developed and used in practice.

Editorial

  1. Pradipta Maji, Guest Editor, Special Issue on Cellular Automata: Theory and Application in Artificial Intelligence, Fundamenta Informaticae, 87(2), 2008.

International Journal Papers

  1. Pradipta Maji and Chandra Das, Relevant and Significant Supervised Gene Clusters for Microarray Cancer Classification, IEEE Transactions on NanoBioscience, pp. 1--8, 2012.

  2. Pradipta Maji, Mutual Information Based Supervised Attribute Clustering for Microarray Sample Classification, IEEE Transactions on Knowledge and Data Engineering, 24(1), pp. 127--140, January 2012.

  3. Pradipta Maji and Sushmita Paul, Rough Set Based Maximum Relevance-Maximum Significance Criterion and Gene Selection from Microarray Data, International Journal of Approximate Reasoning, 52(3), pp. 408--426, March 2011.

  4. Pradipta Maji, Fuzzy-Rough Supervised Attribute Clustering Algorithm and Classification of Microarray Data, IEEE Transactions on System, Man and Cybernetics, Part B, Cybernetics, 41(1), pp. 222--233, February 2011.

  5. Pradipta Maji and Chandra Das, Protein Functional Sites Prediction Using Modified Bio-Basis Function and Quantitative Indices, IEEE Transactions on NanoBioscience, 9(4), pp. 250--257, December 2010.

  6. Pradipta Maji and Chandra Das, Efficient Design of Bio-Basis Function to Predict Protein Functional Sites Using Kernel-Based Classifiers, IEEE Transactions on NanoBioscience, 9(4), pp. 242--249, December 2010.

  7. Pradipta Maji and Sushmita Paul, Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules, IEEE Transactions on System, Man and Cybernetics, Part C, Applications and Reviews, 40(6), pp. 639--648, November 2010.

  8. Pradipta Maji and Sankar K. Pal, Fuzzy-Rough Sets for Information Measures and Selection of Relevant Genes from Microarray Data, IEEE Transactions on System, Man and Cybernetics, Part B, Cybernetics, 40(3), pp. 741--752, June 2010.

  9. Pradipta Maji and Sankar K. Pal, Feature Selection Using f-Information Measures in Fuzzy Approximation Spaces, IEEE Transactions on Knowledge and Data Engineering, 22(6), pp. 854--867, June 2010.

  10. Chandra Das and Pradipta Maji, Relevant and Non-Redundant Amino Acid Sequence Selection for Protein Functional Site Identification, International Journal of Software Science and Computational Intelligence, 2(2), pp. 19--43, April-June, 2010.

  11. Minakshi Banerjee, Malay K. Kundu, and Pradipta Maji, Content-Based Image Retrieval Using Visually Significant Point Features, Fuzzy Sets and Systems, 160(23), pp. 3323--3341, December 2009.

  12. Pradipta Maji, f-Information Measures for Efficient Selection of Discriminative Genes from Microarray Data, IEEE Transactions on Biomedical Engineering, 56(4), pp. 1063--1069, April 2009.

  13. Pradipta Maji and Sankar K. Pal, Maximum Class Separability for Rough-Fuzzy C-Means Based Brain MR Image Segmentation, LNCS Transactions on Rough Sets, IX(LNCS 5390), pp. 114--134, December 2008.

  14. Pradipta Maji, Malay K. Kundu, and Bhabatosh Chanda, Second Order Fuzzy Measure and Weighted Co-Occurrence Matrix for Segmentation of Brain MR Images, Fundamenta Informaticae, 88(1-2), pp. 161--176, December 2008.

  15. Pradipta Maji, On Characterization of Attractor Basins of Fuzzy Multiple Attractor Cellular Automata, Fundamenta Informaticae, 86(1-2), pp. 143--168, October 2008.

  16. Pradipta Maji and P. Pal Chaudhuri, Non-uniform Cellular Automata Based Associative Memory: Evolutionary Design and Basins of Attraction, Information Sciences, 178(10), pp. 2315--2336, May 2008.

  17. Pradipta Maji, Efficient Design of Neural Network Tree Using A New Splitting Criterion, Neurocomputing, 71(4-6), pp. 787--800, January 2008.

  18. Pradipta Maji and Chandra Das, Pattern Classification Using NNTree: Design and Application for Biological Dataset, Journal of Intelligent Systems, 17(1-3), pp. 51--71, 2008.

  19. Pradipta Maji and Sankar K. Pal, Rough Set Based Generalized Fuzzy C-Means Algorithm and Quantitative Indices, IEEE Transactions on System, Man and Cybernetics, Part B, Cybernetics, 37(6), pp. 1529--1540, December 2007.

  20. Pradipta Maji and Sankar K. Pal, RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets, Fundamenta Informaticae, 80(4), pp. 475--496, November 2007.

  21. Pradipta Maji and P. Pal Chaudhuri, RBFFCA: A Hybrid Pattern Classifier Using Radial Basis Function and Fuzzy Cellular Automata, Fundamenta Informaticae, 78(3), pp. 369--396, August 2007.

  22. Pradipta Maji and Sankar K. Pal, Rough-Fuzzy C-Medoids Algorithm and Selection of Bio-Basis for Amino Acid Sequence Analysis, IEEE Transactions on Knowledge and Data Engineering, 19(6), pp. 859--872, June 2007.

  23. Pradipta Maji and Sankar K. Pal, Protein Sequence Analysis Using Relational Soft Clustering Algorithms, International Journal of Computer Mathematics, 84(5), pp. 599--617, May 2007.

  24. Pradipta Maji and P. Pal Chaudhuri, Fuzzy Cellular Automata for Modeling Pattern Classifier, IEICE Transactions on Information and Systems, E88-D(4), pp. 691--702, April 2005.

  25. Niloy Ganguly, Pradipta Maji, Biplab K. Sikdar, and P. Pal Chaudhuri, Design and Characterization of Cellular Automata Based Associative Memory for Pattern Recognition, IEEE Transactions on System, Man and Cybernetics, Part B, Cybernetics, 34(1), pp. 672--678, February 2004.

  26. Pradipta Maji, Chandrama Shaw, Niloy Ganguly, Biplab K. Sikdar, and P. Pal Chaudhuri, Theory and Application of Cellular Automata for Pattern Classification, Fundamenta Informaticae, 58(3-4), pp. 321--354, December 2003.

  27. Pradipta Maji, Niloy Ganguly, and P. Pal Chaudhuri, Error Correcting Capability of Cellular Automata Based Associative Memory, IEEE Transactions on System, Man and Cybernetics, Part A, Systems and Humans, 33(4), pp. 466--480, July 2003.

  28. Niloy Ganguly, Pradipta Maji, Biplab K. Sikdar, and P. Pal Chaudhuri, Generalized Multiple Attractor Cellular Automata (GMACA) Model for Associative Memory, International Journal of Pattern Recognition and Artificial Intelligence, 16(7), pp. 781--795, November 2002.

Book Chapters

  1. Pradipta Maji and Sushmita Paul, Rough Set Based Feature Selection: Criteria of Max-Dependency, Max-Relevance, and Max-Significance, Rough Sets and Intelligent Systems (dedicated to the memory of Professor Zdzislaw Pawlak), Editors: A. Skowron and Z. Suraj, pp. 393--418, Springer, 2012.

  2. Pradipta Maji and Sankar K. Pal, Rough-Fuzzy Clustering Algorithm for Segmentation of Brain MR Images, Rough Fuzzy Image Analysis: Foundations and Applications, Editors: S. K. Pal and J. F. Peters, CRC Press, 2010.

  3. Pradipta Maji and Sankar K. Pal, Rough-Fuzzy Hybridization for Protein Sequence Analysis, Advances in Intelligent Information Processing: Tools and Applications, Editors: B. Chanda and C. A. Murthy, World Scientific Press, pp. 243--275, 2008.

  4. Pradipta Maji and P. Pal Chaudhuri, Fault Diagnosis of Electronic Circuits Using Cellular Automata Based Pattern Classifier, Soft Computing Applications in Industry, Editor: Bhanu Prasad, Springer-Verlag Berlin Heidelberg, STUDFUZZ 226, pp. 225--246, 2008.

International Conference Papers

  1. Nazma Naskar, Avik Charaborty, Pradipta Maji, and Sukanta Das, Analysis of Reachability Tree for Identification of Cellular Automata Attractors, Proceedings of the 10th International Conference on Cellular Automata for Research and Industry (ACRI-12), Greece, pp. 1--10, September 2012.

  2. Pradipta Maji and Partha Garai, Fuzzy-Rough MRMS Method for Relevant and Significant Attribute Selection, Proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU2012), Italy, pp. 1--10, July 2012.

  3. Pradipta Maji and Sushmita Paul, Rough-Fuzzy Clustering for Grouping Functionally Similar Genes from Microarray Data, Proceedings of the 10th Asia Pacific Bioinformatics Conference (APBC2012), Australia, pp. 307--320, January 2012.

  4. Pradipta Maji and Sushmita Paul, Rough-Fuzzy C-Means for Clustering Microarray Gene Expression Data, Proceedings of 1st Indo-Japan Conference on Perception and Machine Intelligence (PerMIn2012), India, pp. 203--210, January 2012.

  5. Sushmita Paul and Pradipta Maji, Rough Sets for Selection of Functionally Diverse Genes from Microarray Data, Proceedings of Joint International Conference on Swarm Evolutionary and Memetic Computing (SEMCCO2011) and Fuzzy and Neural Computing (FANCCO2011), India, pp. 477--484, December 2011.

  6. Pradipta Maji and Sushmita Paul, Microarray Time-Series Data Clustering Using Rough-Fuzzy C-Means Algorithm, Proceedings of 5th IEEE International Conference on Bioinformatics and Biomedicine (BIBM2011), Atlanta, GA, USA, pp. 269--272, November 2011.

  7. Sushmita Paul and Pradipta Maji, Fuzzy Discretization for Rough Set Based Gene Selection Algorithm, IEEE Proceedings of 2nd International Conference on Emerging Applications of Information Technology (EAIT 2011), India, pp. 317--320, February 2011.

  8. Chandra Das, Pradipta Maji, and Samiran Chattopadhyay, Supervised Gene Clustering for Extraction of Discriminative Features from Microarray Data, Proceedings of IEEE INDICON 2010, India, pp. 1--4, December 2010.

  9. Sushmita Paul and Pradipta Maji, Rough Set Based Gene Selection Algorithm for Microarray Sample Classification, Proceedings of International Conference on Methods and Models in Computer Sciences (ICM2CS-2010), India, pp. 7--13, December 2010.

  10. Pradipta Maji and Sushmita Paul, Prediction of Biological Activity of Molecules Using Rough Sets and Support Vector Machine, Proceedings of International Conference on Information Technology (ICIT-09), India, pp. 93--99, December 2009 (received best paper award).

  11. Chandra Das and Pradipta Maji, A New Possibilistic Biclustering Algorithm for Microarray Gene Expression Data, Proceedings of 4th Indian International Conference on Artificial Intelligence (IICAI-09), India, pp. 113--129, December 2009.

  12. Chandra Das and Pradipta Maji, Prediction of Protein Functional Sites Using Novel String Kernels, IEEE Proceedings of International Conference on Information Technology (ICIT-08), India, pp. 127--130, December 2008.

  13. Chandra Das, Pradipta Maji, and Samiran Chattopadhyay, A Novel Biclustering Algorithm for Discovering Value-Coherent Overlapping ∂-Biclusters, IEEE Proceedings of 16th International Conference on Advanced Computing and Communication (ADCOM-08), India, pp. 148--156, December 2008.

  14. Pradipta Maji and Sankar K. Pal, Rough-Fuzzy Relational Clustering Algorithm for Biological Sequence Mining, Proceedings of 3rd International Conference on Rough Sets and Knowledge Technology (RSKT-08), China, pp. 292--299, May 2008.

  15. Pradipta Maji and Sankar K. Pal, Rough Sets Based Hybrid C-Means Algorithm, Proceedings of 3rd Indian International Conference on Artificial Intelligence (IICAI-07), India, pp. 1167--1185, December 2007.

  16. Pradipta Maji and P. Pal Chaudhuri, Design of Response-Pattern Classifier for Fault Diagnosis of Electronic Circuits, Proceedings of 3rd Indian International Conference on Artificial Intelligence (IICAI-07), India, pp. 1403--1422, December 2007.

  17. Pradipta Maji, Bhabatosh Chanda, Malay K. Kundu, and Suman Dasgupta, Deformation Correction in Brain MRI Using Mutual Information and Genetic Algorithm, IEEE Proceedings of International Conference on Computing: Theory and Applications (ICCTA-07), India, pp. 372--376, March 2007.

  18. Pradipta Maji, Malay K. Kundu, and Bhabatosh Chanda, Segmentation of Brain MR Images Using Fuzzy Sets and Modified Co-occurrence Matrix, Proceedings of The IET International Conference on Visual Information Engineering (VIE-06), India, pp. 327--332, September 2006 (received best paper award).

  19. Pradipta Maji and P. Pal Chaudhuri, Basins of Attraction of Cellular Automata Based Associative Memory and Its Rule Space, IEEE Proceedings of 3rd International Conference on Intelligent Sensing and Information Processing (ICISIP-05), India, pp. 115--120, December 2005.

  20. Pradipta Maji and Chandra Das, Knowledge Discovery in Distributed Biological Datasets Using Fuzzy Cellular Automata, IEEE Proceedings of 3rd International Conference on Intelligent Sensing and Information Processing (ICISIP-05), India, pp. 164--169, December 2005.

  21. Pradipta Maji and Chandra Das, Design of Multilayer Perceptron Based Tree Structured Classifier for Biological Dataset, Proceedings of 2nd Indian International Conference on Artificial Intelligence (IICAI-05), India, pp. 1527--1546, December 2005.

  22. Pradipta Maji and P. Pal Chaudhuri, Fuzzy Cellular Automata Based Associative Memory for Pattern Recognition, IEEE Proceedings of 2nd International Conference on Intelligent Sensing and Information Processing (ICISIP-05), India, pp. 284--289, January 2005.

  23. Pradipta Maji, Chandra Das, and P. Pal Chaudhuri, Embedded Genetic Algorithm for Multiobjective Optimization Problem, IEEE Proceedings of 2nd International Conference on Intelligent Sensing and Information Processing (ICISIP-05), India, pp. 308--313, January 2005.

  24. Pradipta Maji, Samik Parua, Sumanta Das, and P. Pal Chaudhuri, Cellular Automata in Protein Coding Region Identification, IEEE Proceedings of 2nd International Conference on Intelligent Sensing and Information Processing (ICISIP-05), India, pp. 479--484, January 2005.

  25. Pradipta Maji and P. Pal Chaudhuri, Cellular Automata Based Pattern Classifying Machine for Distributed Data Mining, Proceedings of 11th International Conference on Neural Information Processing (ICONIP-04), India, pp. 848--853, November 2004.

  26. Pradipta Maji, Biplab K. Sikdar, and P. Pal Chaudhuri, Cellular Automata Evolution for Pattern Classification, Proceedings of 6th International Conference on Cellular Automata for Research and Industry (ACRI-04), Netherland, pp. 660--669, October 2004.

  27. Pradipta Maji, Biplab K. Sikdar, and P. Pal Chaudhuri, Cellular Automata Evolution for Distributed Data Mining, Proceedings of 6th International Conference on Cellular Automata for Research and Industry (ACRI-04), Netherland, pp. 40--49, October 2004.

  28. Chandrama Shaw, Pradipta Maji, Biplab K. Sikdar, Samir Roy, and P. Pal Chaudhuri, Cellular Automata based Encompression Technology for Voice Data Proceedings of 6th International Conference on Cellular Automata for Research and Industry (ACRI-04), Netherland, pp. 258--267, October 2004.

  29. Pradipta Maji and P. Pal Chaudhuri, FMACA: A Fuzzy Cellular Automata Based Pattern Classifier, Proceedings of 9th International Conference on Database Systems for Advanced Application (DASFAA-04), South Korea, pp. 494--505, March 2004.

  30. Pradipta Maji, Chandrama Shaw, Rishi Nandi, Debesh K. Das, and P. Pal Chaudhuri, Design of Cellular Automata based Pattern Classifier, Proceedings of 2nd International Conference on Applied Artificial Intelligence (ICAAI-03), India, December 2003.

  31. Pradipta Maji, Rishi Nandi, and P. Pal Chaudhuri, Application of Fuzzy Cellular Automata (FCA) for Modeling Tree Structured Pattern Classifier, Proceedings of 1st Indian International Conference on Artificial Intelligence (IICAI-03), India, pp. 1220--1233, December 2003.

  32. Pradipta Maji, Rishi Nandi, and P. Pal Chaudhuri, Design of Fuzzy Cellular Automata (FCA) based Pattern Classifier, Proceedings of 5th International Conference on Advances in Pattern Recognition (ICAPR-03), India, pp. 113--117, December 2003.

  33. Sourav Saha, Pradipta Maji, Niloy Ganguly, Samir Roy, and P. Pal Chaudhuri, Cellular Automata Based Model for Pattern Clustering, Proceedings of 5th International Conference on Advances in Pattern Recognition (ICAPR-03), India, pp. 122--126, December 2003.

  34. Chandrama Shaw, Debashis Chatterjee, Pradipta Maji, Subhayan Sen, and P. Pal Chaudhuri, A Pipeline Architecture for Encompression (Encryption + Compression) Technology, IEEE Proceedings of 16th International Conference on VLSI Design, India, pp. 277--282, 2003.

  35. Niloy Ganguly, Pradipta Maji, Arijit Das, Biplab K. Sikdar, and P. Pal Chaudhuri, Characterization of Non-Linear Cellular Automata Model for Pattern Recognition, Proceedings of 2002 AFSS International Conference on Fuzzy Systems, India, pp. 214--220, 2002.

  36. Sourav Saha, Pradipta Maji, Niloy Ganguly, Biplab K. Sikdar, and P. Pal Chaudhuri, Evolving Cellular Automata Model for Pattern Recognition and Classification, Proceedings of IEEE International Conference on Systems, Man and Cybernetics (SMC-02), Tunisia, 2002.

  37. Niloy Ganguly, Pradipta Maji, Sandip Dhar, Biplab K. Sikdar, and P. Pal Chaudhuri, Evolving Cellular Automata as Pattern Classifier, Proceedings of 5th International Conference on Cellular Automata for Research and Industry (ACRI-02), Switzerland, pp. 56--68, 2002.

  38. Pradipta Maji, Niloy Ganguly, Sourav Saha, Anup K. Roy, and P. Pal Chaudhuri, Cellular Automata Machine for Pattern Recognition, Proceedings of 5th International Conference on Cellular Automata for Research and Industry (ACRI-02), Switzerland, pp. 270--281, October 2002.

  39. Pradipta Maji, Niloy Ganguly, Arijit Das, Biplab K. Sikdar, and P. Pal Chaudhuri, Study of Non-Linear Cellular Automata for Pattern Recognition, Proceedings of Cellular Automata Conference, Japan, pp. 187--192, 2001.

  40. Niloy Ganguly, Arijit Das, Pradipta Maji, Biplab K. Sikdar, and P. Pal Chaudhuri, Evolving Cellular Automata Based Associative Memory for Pattern Recognition, Proceedings of International Conference on High Performance Computing (HiPC-01), India, pp. 115--124, 2001.

Doctoral Thesis

  • Cellular Automata Evolution for Pattern Recognition, Jadavpur University, 2005.



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