Publications

Books

  1. Pradipta Maji and Sushmita Paul, Scalable Pattern Recognition Algorithms: Applications in Computational Biology and Bioinformatics, Springer-Verlag, London, ISBN: 978-3-319-05629-6, Pages 304, April 2014.

  2. Pradipta Maji, Ashish Ghosh, M. Narasimha Murty, Kuntal Ghosh, and Sankar K. Pal (Eds.), Pattern Recognition and Machine Intelligence: Fifth International Conference, PReMI 2013, Proceedings, Springer-Verlag, Berlin, Heidelberg, Lecture Notes in Computer Science, Vol. 8251, ISBN: 978-3-642-45061-7 (Print) 978-3-642-45062-4 (Online), Pages: 753, 2013.

  3. Pradipta Maji and Sankar K. Pal, Rough-Fuzzy Pattern Recognition: Applications in Bioinformatics and Medical Imaging, John Wiley & Sons, Inc., New Jersey/IEEE Computer Society Press, ISBN: 978-1-1180-0440-1, Pages 312, January 2012.

International Journal Papers

  1. Abhirup Banerjee and Pradipta Maji, Spatially Constrained Student's t-Distribution Based Mixture Model for Robust Image Segmentation, Journal of Mathematical Imaging and Vision, Springer, pp. 1--27, 2017.

  2. Ankita Mandal and Pradipta Maji, FaRoC: Fast and Robust Supervised Canonical Correlation Analysis for Multimodal Omics Data, IEEE Transactions on Cybernetics, pp. 1--13, 2017.

  3. Pradipta Maji and Ekta Shah, Significance and Functional Similarity for Identification of Disease Genes, IEEE/ACM Transactions on Computational Biology and Bioinformatics, pp. 1--15, 2017.

  4. Abhirup Banerjee and Pradipta Maji, Stomped-t: A Novel Probability Distribution for Rough-Probabilistic Clustering, Information Sciences, 421, pp. 104--125, December 2017.

  5. Pradipta Maji and Ankita Mandal, Multimodal Omics Data Integration Using Max Relevance-Max Significance Criterion, IEEE Transactions on Biomedical Engineering, 64(8), pp. 1841--1851, August 2017.

  6. Shaswati Roy and Pradipta Maji, Rough-Fuzzy Segmentation of HEp-2 Cell Indirect Immunofluorescence Images, International Journal of Data Mining and Bioinformatics, 17(4), pp. 311--340, April 2017.

  7. Pradipta Maji, Ekta Shah, and Sushmita Paul, RelSim: An Integrated Method to Identify Disease Genes Using Gene Expression Profiles and PPIN Based Similarity Measure, Information Sciences, 384, pp. 110--125, April 2017.

  8. Pradipta Maji and Ankita Mandal, Rough Hypercuboid Based Supervised Regularized Canonical Correlation for Multimodal Data Analysis, Fundamenta Informaticae, 148(1--2), pp. 133--155, December 2016.

  9. Abhirup Banerjee and Pradipta Maji, Rough-Probabilistic Clustering and Hidden Markov Random Field Model for Segmentation of HEp-2 Cell and Brain MR Images, Applied Soft Computing, 46, pp. 558--576, September 2016.

  10. Sushmita Paul and Pradipta Maji, Gene Expression and Protein-Protein Interaction Data for Identification of Colon Cancer Related Genes Using f-Information Measures, Natural Computing, 15(3), pp. 449--463, September 2016.

  11. Sumit Adak, Nazma Naskar, Pradipta Maji, and Sukanta Das, On Synthesis of Non-Uniform Cellular Automata Having Only Point Attractors, Journal of Cellular Automata, 12(1--2), pp. 81--100, August 2016.

  12. Abhirup Banerjee and Pradipta Maji, Rough Sets and Stomped Normal Distribution for Simultaneous Segmentation and Bias Field Correction in Brain MR Images, IEEE Transactions on Image Processing, 24(12), pp. 5764--5776, December 2015.

  13. Pradipta Maji and Shaswati Roy, SoBT-RFW: Rough-Fuzzy Computing and Wavelet Analysis Based Automatic Brain Tumor Detection Method from MR Images, Fundamenta Informaticae, 142(1--4), pp. 237--267, December 2015.

  14. Pradipta Maji and Partha Garai, IT2 Fuzzy-Rough Sets and Max Relevance-Max Significance Criterion for Attribute Selection, IEEE Transactions on Cybernetics, 45(8), pp. 1657--1668, August 2015.

  15. Pradipta Maji and Shaswati Roy, Rough-Fuzzy Clustering and Multiresolution Image Analysis for Text-Graphics Segmentation, Applied Soft Computing, 30, pp. 705--721, May 2015.

  16. Pradipta Maji and Shaswati Roy, Rough-Fuzzy Clustering and Unsupervised Feature Selection for Wavelet Based MR Image Segmentation, PLoS ONE, 10(4): e0123677, doi:10.1371/journal.pone.0123677, April 2015.

  17. Chandra Das and Pradipta Maji, Possibilistic Biclustering Algorithm for Discovering Value-Coherent Overlapping ∂-Biclusters, International Journal of Machine Learning and Cybernetics, 6(1), pp. 95--107, January 2015.

  18. Pradipta Maji and Partha Garai, Simultaneous Feature Selection and Extraction Using Feature Significance, Fundamenta Informaticae, 136(4), pp. 405--431, January 2015.

  19. Sushmita Paul and Pradipta Maji, City Block Distance and Rough-Fuzzy Clustering for Identification of Co-Expressed microRNAs, Molecular BioSystems, 10(6), pp. 1509--1523, June 2014.

  20. Sushmita Paul and Pradipta Maji, Gene Ontology Based Quantitative Index to Select Functionally Diverse Genes, International Journal of Machine Learning and Cybernetics, 5(2), pp. 245--262, April 2014.

  21. Pradipta Maji, A Rough Hypercuboid Approach for Feature Selection in Approximation Spaces, IEEE Transactions on Knowledge and Data Engineering, 26(1), pp. 16--29, January 2014.

  22. Abhirup Banerjee and Pradipta Maji, Rough Sets for Bias Field Correction in MR Images Using Contraharmonic Mean and Quantitative Index, IEEE Transactions on Medical Imaging, 32(11), pp. 2144--2155, November 2013.

  23. Sushmita Paul and Pradipta Maji, Rough Sets for Insilico Identification of Differentially Expressed miRNAs, International Journal of Nanomedicine, 8, pp. 63--74, September 2013.

  24. Sushmita Paul and Pradipta Maji, μHEM for Identification of Differentially Expressed miRNAs Using Hypercuboid Equivalence Partition Matrix, BMC Bioinformatics, 14(1):266, September 2013.

  25. Pradipta Maji and Partha Garai, On Fuzzy-Rough Attribute Selection: Criteria of Max-Dependency, Max-Relevance, Min-Redundancy, and Max-Significance, Applied Soft Computing, 13(9), pp. 3968--3980, September 2013.

  26. Pradipta Maji and Partha Garai, Fuzzy-Rough Simultaneous Attribute Selection and Feature Extraction Algorithm, IEEE Transactions on Cybernetics, 43(4), pp. 1166--1177, August 2013.

  27. Pradipta Maji and Sushmita Paul, Robust Rough-Fuzzy C-Means Algorithm: Design and Applications in Coding and Non-coding RNA Expression Data Clustering, Fundamenta Informaticae, 124(1-2), pp. 153--174, June 2013.

  28. Pradipta Maji and Sushmita Paul, Rough-Fuzzy Clustering for Grouping Functionally Similar Genes from Microarray Data, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10(2), pp. 286--299, March/April 2013.

  29. Pradipta Maji and Chandra Das, Relevant and Significant Supervised Gene Clusters for Microarray Cancer Classification, IEEE Transactions on NanoBioscience, 11(2), pp. 161--168, June 2012.

  30. 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.

  31. 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.

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

  33. 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.

  34. 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.

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

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

  37. 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.

  38. 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.

  39. 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.

  40. 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.

  41. 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.

  42. 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.

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

  44. 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.

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

  46. 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.

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

  48. 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.

  49. 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.

  50. 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.

  51. 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.

  52. 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.

  53. 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 Systems, Man, and Cybernetics, Part B, Cybernetics, 34(1), pp. 672--678, February 2004.

  54. 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.

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

  56. 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, Fundamentals of Rough-Fuzzy Clustering and Its Application in Bioinformatics, Pattern Recognition and Big Data, Editors: A. Pal and S. K. Pal, pp. 513--543, World Scientific, Singapore, 2016.

  2. Pradipta Maji and Sushmita Paul, Rough Set Based Feature Selection: Criteria of Max-Dependency, Max-Relevance, and Max-Significance, Rough Sets and Intelligent Systems: Professor Zdzislaw Pawlak in Memoriam, Editors: A. Skowron and Z. Suraj, pp. 393--418, Springer, 2013.

  3. 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.

  4. 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.

  5. 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.

Editorial

  1. Pradipta Maji, Sankar K. Pal, and Andrzej Skowron, Guest Editors, Special Issue on Pattern Recognition and Mining, Natural Computing (Springer), 15(3), 2016.

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

International Conference Papers

  1. Ankita Mandal and Pradipta Maji, A New Method to Address Singularity Problem in Multimodal Data Analysis, Proceedings of 7th International Conference on Pattern Recognition and Machine Intelligence (PReMI2017), Kolkata, India, pp. 43--51, December 2017.

  2. Aparajita Khan and Pradipta Maji, Principal Subspace Updation for Integrative Clustering of Multimodal Omics Data, Proceedings of 3rd International Conference on Computational Intelligence and Networks (CINE 2017), Bhubaneswar, India, pp. 1--6, October 2017 (received best paper award).

  3. Pradipta Maji, Advances in Rough Set Based Hybrid Approaches for Medical Image Analysis, Proceedings of International Joint Conference on Rough Sets (IJCRS2017), Olsztyn, Poland, pp. 25--33, July 2017.

  4. Ankita Mandal and Pradipta Maji, Regularization and Shrinkage in Rough Set Based Canonical Correlation Analysis, Proceedings of International Joint Conference on Rough Sets (IJCRS2017), Olsztyn, Poland, pp. 432--446, July 2017.

  5. Ekta Shah and Pradipta Maji, Rough Hypercuboid and Modified Kulczynski Coefficient for Disease Gene Identification, Proceedings of 9th Asian Conference on Intelligent Information and Database Systems (ACIIDS2017), Kanazawa, Japan, pp. 465--474, April 2017.

  6. Shaswati Roy and Pradipta Maji, A Modified Rough-Fuzzy Clustering Algorithm with Spatial Information for HEp-2 Cell Image Segmentation, Proceedings of 10th IEEE International Conference on Bioinformatics and Biomedicine (BIBM2016), China, pp. 383--388, December 2016.

  7. Partha Garai and Pradipta Maji, Identification of Co-Expressed microRNAs Using Rough Hypercuboid Based Interval Type-2 Fuzzy C-Means Algorithm, Proceedings of International Conference on Advanced Computing and Intelligent Engineering (ICACIE2016), India, pp. 1--10, December 2016.

  8. Partha Garai and Pradipta Maji, Clustering of microRNAs Using Rough Hypercuboid Based Fuzzy C-Means, Proceedings of 15th International Conference on Information Technology (ICIT2016), India, pp. 304--308, December 2016.

  9. Abhirup Banerjee and Pradipta Maji, Rough Sets for Finite Mixture Model Based HEp-2 Cell Segmentation, Proceedings of International Joint Conference on Rough Sets (IJCRS2015), Tianjin, China, pp. 459--469, November 2015.

  10. Shaswati Roy and Pradipta Maji, A New Post-Processing Method to Detect Brain Tumor Using Rough-Fuzzy Clustering, Proceedings of 6th International Conference on Pattern Recognition and Machine Intelligence (PReMI2015), Warsaw, Poland, pp. 407--417, July 2015.

  11. Pradipta Maji, Ekta Shah, and Sushmita Paul, A New Similarity Measure for Identification of Disease Genes, Proceedings of 6th International Conference on Pattern Recognition and Machine Intelligence (PReMI2015), Warsaw, Poland, pp. 451--461, July 2015.

  12. Shaswati Roy and Pradipta Maji, A Simple Skull Stripping Algorithm for Brain MRI, Proceedings of the 8th International Conference on Advances in Pattern Recognition (ICAPR2015), Kolkata, India, pp. 1--6, January 2015.

  13. Pradipta Maji, Ankita Mandal, Madhura Ganguly, and Sanjoy Saha, An Automated Method for Counting and Characterizing Red Blood Cells Using Mathematical Morphology, Proceedings of the 8th International Conference on Advances in Pattern Recognition (ICAPR2015), Kolkata, India, pp. 1--6, January 2015.

  14. Nazma Naskar, Sumit Adak, Pradipta Maji, and Sukanta Das, Synthesis of Non-uniform Cellular Automata having Only Point Attractors, Proceedings of the 11th International Conference on Cellular Automata for Research and Industry (ACRI2014), Poland, pp. 105--114, September 2014.

  15. Sushmita Paul and Pradipta Maji, City Block Distance for Identification of Co-Expressed MicroRNAs, Proceedings of the 4th Joint International Conference on Swarm, Evolutionary, and Memetic Computing (SEMCCO2013), India, pp. 387--396, December 2013.

  16. Pradipta Maji, Shaswati Roy, and Malay K Kundu, Rough-Fuzzy Clustering and M-Band Wavelet Packet for Text-Graphics Segmentation, Proceedings of 5th International Conference on Pattern Recognition and Machine Intelligence (PReMI2013), Kolkata, India, pp. 530--538, December 2013.

  17. Abhirup Banerjee and Pradipta Maji, Rough Set Based Homogeneous Unsharp Masking for Bias Field Correction in MRI, Proceedings of 17th International Conference on Image Analysis and Processing (ICIAP2013), Naples, Italy, pp. 542--551, September 2013.

  18. Abhirup Banerjee and Pradipta Maji, Contraharmonic Mean Based Bias Field Correction in MR Images, Proceedings of 15th International Conference on Computer Analysis of Images and Patterns (CAIP2013), York, UK, pp. 523--530, August 2013.

  19. Sushmita Paul and Pradipta Maji, A New Rough-Fuzzy Clustering Algorithm and Its Applications, Proceedings of 2nd International Conference on Soft Computing for Problem Solving (SocProS2012), India, pp. 1245--1251, December 2012.

  20. Pradipta Maji and Partha Garai, Simultaneous Feature Selection and Extraction Using Fuzzy-Rough Sets, Proceedings of 2nd International Conference on Soft Computing for Problem Solving (SocProS2012), India, pp. 115--123, December 2012.

  21. Sushmita Paul and Pradipta Maji, Rough Sets and Support Vector Machine for Selecting Differentially Expressed miRNAs, Proceedings of IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW2012): Nanoinformatics for Biomedicine (NanoInfo2012), Philadelphia, PA, USA, pp. 864--871, October 2012.

  22. Sushmita Paul and Pradipta Maji, Robust RFCM Algorithm for Identification of Co-expressed miRNAs, Proceedings of 6th IEEE International Conference on Bioinformatics and Biomedicine (BIBM2012), Philadelphia, PA, USA, pp. 520--523, October 2012.

  23. Nazma Naskar, Avik Chakraborty, Pradipta Maji, and Sukanta Das, Analysis of Reachability Tree for Identification of Cyclic and Acyclic CA States, Proceedings of the 10th International Conference on Cellular Automata for Research and Industry (ACRI2012), Greece, pp. 63--72, September 2012.

  24. 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. 310--320, July 2012.

  25. 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.

  26. 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.

  27. 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.

  28. 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.

  29. Sushmita Paul and Pradipta Maji, Fuzzy Discretization for Rough Set Based Gene Selection Algorithm, Proceedings of 2nd International Conference on Emerging Applications of Information Technology (EAIT2011), India, pp. 317--320, February 2011.

  30. 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.

  31. 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 (ICM2CS2010), India, pp. 7--13, December 2010.

  32. 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 (ICIT2009), India, pp. 93--99, December 2009 (received best paper award).

  33. Chandra Das and Pradipta Maji, A New Possibilistic Biclustering Algorithm for Microarray Gene Expression Data, Proceedings of 4th Indian International Conference on Artificial Intelligence (IICAI2009), India, pp. 113--129, December 2009.

  34. Chandra Das and Pradipta Maji, Prediction of Protein Functional Sites Using Novel String Kernels, Proceedings of International Conference on Information Technology (ICIT2008), India, pp. 127--130, December 2008.

  35. Chandra Das, Pradipta Maji, and Samiran Chattopadhyay, A Novel Biclustering Algorithm for Discovering Value-Coherent Overlapping ∂-Biclusters, Proceedings of 16th International Conference on Advanced Computing and Communication (ADCOM2008), India, pp. 148--156, December 2008.

  36. 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 (RSKT2008), China, pp. 292--299, May 2008.

  37. Pradipta Maji and Sankar K. Pal, Rough Sets Based Hybrid C-Means Algorithm, Proceedings of 3rd Indian International Conference on Artificial Intelligence (IICAI2007), India, pp. 1167--1185, December 2007.

  38. 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 (IICAI2007), India, pp. 1403--1422, December 2007.

  39. Pradipta Maji, Bhabatosh Chanda, Malay K. Kundu, and Suman Dasgupta, Deformation Correction in Brain MRI Using Mutual Information and Genetic Algorithm, Proceedings of International Conference on Computing: Theory and Applications (ICCTA2007), India, pp. 372--376, March 2007.

  40. 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 (VIE2006), India, pp. 327--332, September 2006 (received best paper award).

  41. Pradipta Maji and P. Pal Chaudhuri, Basins of Attraction of Cellular Automata Based Associative Memory and Its Rule Space, Proceedings of 3rd International Conference on Intelligent Sensing and Information Processing (ICISIP2005), India, pp. 115--120, December 2005.

  42. Pradipta Maji and Chandra Das, Knowledge Discovery in Distributed Biological Datasets Using Fuzzy Cellular Automata, Proceedings of 3rd International Conference on Intelligent Sensing and Information Processing (ICISIP2005), India, pp. 164--169, December 2005.

  43. 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 (IICAI2005), India, pp. 1527--1546, December 2005.

  44. Pradipta Maji and P. Pal Chaudhuri, Fuzzy Cellular Automata Based Associative Memory for Pattern Recognition, Proceedings of 2nd International Conference on Intelligent Sensing and Information Processing (ICISIP2005), India, pp. 284--289, January 2005.

  45. Pradipta Maji, Chandra Das, and P. Pal Chaudhuri, Embedded Genetic Algorithm for Multiobjective Optimization Problem, Proceedings of 2nd International Conference on Intelligent Sensing and Information Processing (ICISIP2005), India, pp. 308--313, January 2005.

  46. Pradipta Maji, Samik Parua, Sumanta Das, and P. Pal Chaudhuri, Cellular Automata in Protein Coding Region Identification, Proceedings of 2nd International Conference on Intelligent Sensing and Information Processing (ICISIP2005), India, pp. 479--484, January 2005.

  47. 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 (ICONIP2004), India, pp. 848--853, November 2004.

  48. 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 (ACRI2004), Netherland, pp. 660--669, October 2004.

  49. 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 (ACRI2004), Netherland, pp. 40--49, October 2004.

  50. 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 (ACRI2004), Netherland, pp. 258--267, October 2004.

  51. 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 (DASFAA2004), South Korea, pp. 494--505, March 2004.

  52. 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 (ICAAI2003), India, December 2003.

  53. 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 (IICAI2003), India, pp. 1220--1233, December 2003.

  54. 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 (ICAPR2003), India, pp. 113--117, December 2003.

  55. 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 (ICAPR2003), India, pp. 122--126, December 2003.

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

  57. 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.

  58. 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 (SMC2002), Tunisia, 2002.

  59. 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 (ACRI2002), Switzerland, pp. 56--68, 2002.

  60. 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 (ACRI2002), Switzerland, pp. 270--281, October 2002.

  61. 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.

  62. 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 (HiPC2001), India, pp. 115--124, 2001.

Doctoral Thesis




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