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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 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.

1. Debamita Kumar and Pradipta Maji, Discriminative Deep Generalized Dependency Analysis for Multi-View Data, IEEE Transactions on Artificial Intelligence, pp. 1--12, 2023.

2. Debamita Kumar and Pradipta Maji, Discriminative Deep Canonical Correlation Analysis for Multi-View Data, IEEE Transactions on Neural Networks and Learning Systems, pp. 1--13, 2023.

3. Shaswati Roy and Pradipta Maji, Tumor Delineation from 3-D MR Brain Images, Signal, Image and Video Processing, Springer, pp. 1--8, 2023.

4. Ankita Mandal and Pradipta Maji, Multiview Regularized Discriminant Canonical Correlation Analysis: Sequential Extraction of Relevant Features from Multiblock Data, IEEE Transactions on Cybernetics, pp. 1--13, 2022.

5. Ankita Mandal and Pradipta Maji, Adaptive Generalized Multi-View Canonical Correlation Analysis for Incrementally Update Multiblock Data, IEEE Transactions on Knowledge and Data Engineering, 35(7), pp. 6616--6629, July 2023.

6. Suman Mahapatra and Pradipta Maji, Truncated Normal Mixture Prior Based Deep Latent Model for Color Normalization of Histology Images, IEEE Transactions on Medical Imaging, 42(6), pp. 1746--1757, June 2023.

7. Ekta Shah and Pradipta Maji, Multi-View Kernel Learning for Identification of Disease Genes, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(3), pp. 2278--2290, May/June 2023.

8. Aparajita Khan and Pradipta Maji, Multi-Manifold Optimization for Multi-View Subspace Clustering, IEEE Transactions on Neural Networks and Learning Systems, 33(8), pp. 3895--3907, August 2022.

9. Ekta Shah and Pradipta Maji, Scalable Non-Linear Graph Fusion for Prioritizing Cancer-Causing Genes, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19(2), pp. 1130--1143, March/April 2022.

10. Aparajita Khan and Pradipta Maji, Selective Update of Relevant Eigenspaces for Integrative Clustering of Multimodal Data, IEEE Transactions on Cybernetics, 52(2), pp. 947--959, February 2022.

11. Debamita Kumar and Pradipta Maji, Rough-Bayesian Approach to Select Class-Pair Specific Descriptors for HEp-2 Cell Staining Pattern Recognition, Pattern Recognition, Elsevier, 117, pp. 107982 (1--18), September 2021.

12. Pradipta Maji and Partha Garai, Rough Hypercuboid Based Generalized and Robust IT2 Fuzzy C-Means Algorithm, IEEE Transactions on Cybernetics, 51(7), pp. 3641--3652, July 2021.

13. Shaswati Roy and Pradipta Maji, Multispectral Co-Occurrence of Wavelet Coefficients for Malignancy Assessment of Brain Tumors, PLoS ONE, 16(6): e0250964, doi: 10.1371/journal.pone.0250964, June 2021.

14. Aparajita Khan and Pradipta Maji, Approximate Graph Laplacians for Multimodal Data Clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence, 43(3), pp. 798--813, March 2021.

15. Sreyashi Majumdar, Rohit Verma, Avishek Saha, Parthasarathi Bhattacharyya, Pradipta Maji, Milan Surjit, Manikuntala Kundu, Joyoti Basu, Sudipto Saha, Perspectives About Modulating Host Immune System in Targeting SARS-CoV-2 in India, Frontiers in Genetics, 12:637362. doi: 10.3389/fgene.2021.637362, February 2021.

16. Abhirup Banerjee and Pradipta Maji, A Spatially Constrained Probabilistic Model for Robust Image Segmentation, IEEE Transactions on Image Processing, 29(1), pp. 4898--4910, December 2020.

17. Ankita Mandal and Pradipta Maji, CanSuR: A Robust Method for Staining Pattern Recognition of HEp-2 Cell IIF Images, Neural Computing and Applications, Springer, 32(21), pp. 16471--16489, November 2020.

18. Debamita Kumar and Pradipta Maji, Selection of Relevant Texture Descriptors for Recognition of HEp-2 Cell Staining Patterns, International Journal of Machine Learning and Cybernetics, Springer, 11(9), pp. 2127--2147, September 2020.

19. Aparajita Khan and Pradipta Maji, Low-Rank Joint Subspace Construction for Cancer Subtype Discovery, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(4), pp. 1290--1302, July/August 2020.

20. Shaswati Roy and Pradipta Maji, Medical Image Segmentation by Partitioning Spatially Constrained Fuzzy Approximation Spaces, IEEE Transactions on Fuzzy Systems, 28(5), pp. 965--977, May 2020.

21. Pradipta Maji and Suman Mahapatra, Circular Clustering in Fuzzy Approximation Spaces for Color Normalization of Histological Images, IEEE Transactions on Medical Imaging, 39(5), pp. 1735--1745, May 2020.

22. Shaswati Roy and Pradipta Maji, Rough Segmentation of Coherent Local Intensity for Bias Induced 3-D MR Brain Images, Pattern Recognition, Elsevier, 97, pp. 1--18, January 2020.

23. Abhirup Banerjee and Pradipta Maji, Segmentation of Bias Field Induced Brain MR Images Using Rough Sets and Stomped-t Distribution, Information Sciences, Elsevier, 504, pp. 520--545, December 2019.

24. Pradipta Maji, Recent Advances in Multimodal Big Data Analysis for Cancer Diagnosis, CSI Transactions on ICT, Springer, 7, pp. 227--231, September 2019.

25. Pradipta Maji and Suman Mahapatra, Rough-Fuzzy Circular Clustering for Color Normalization of Histological Images, Fundamenta Informaticae, 164(1), pp. 103--117, January 2019.

26. Shaswati Roy and Pradipta Maji, An Accurate and Robust Skull Stripping Method for 3-D Magnetic Resonance Brain Images, Magnetic Resonance Imaging, Elsevier, 54, pp. 46--57, December 2018.

27. Ankita Mandal and Pradipta Maji, FaRoC: Fast and Robust Supervised Canonical Correlation Analysis for Multimodal Omics Data, IEEE Transactions on Cybernetics, 48(4), pp. 1229--1241, April 2018.

28. 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, 60(3), pp. 355--381, March 2018.

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

30. Pradipta Maji and Ekta Shah, Significance and Functional Similarity for Identification of Disease Genes, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 14(6), pp. 1419--1433, November/December 2017.

31. 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.

32. 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.

33. 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, Elsevier, 384, pp. 110--125, April 2017.

34. 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.

35. 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, Elsevier, 46, pp. 558--576, September 2016.

36. 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, Springer, 15(3), pp. 449--463, September 2016.

37. 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.

38. 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.

39. 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.

40. 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.

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

42. 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.

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

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

45. 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.

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

47. 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.

48. 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.

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

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

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

52. 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.

53. 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.

54. 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.

55. 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.

56. 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.

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

58. 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.

59. 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.

60. 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.

61. 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.

62. 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.

63. 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.

64. 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.

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

66. 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.

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

68. 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.

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

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

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

72. 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.

73. 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.

74. 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.

75. 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.

76. 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.

77. 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.

78. 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.

79. 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.

80. 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.

81. 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.

82. 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.