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2020 – today
- 2022
[j65]Ekta Shah
, Pradipta Maji:
Scalable Non-Linear Graph Fusion for Prioritizing Cancer-Causing Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 19(2): 1130-1143 (2022)- [j64]Aparajita Khan, Pradipta Maji:
Selective Update of Relevant Eigenspaces for Integrative Clustering of Multimodal Data. IEEE Trans. Cybern. 52(2): 947-959 (2022) - 2021
- [j63]Aparajita Khan, Pradipta Maji:
Approximate Graph Laplacians for Multimodal Data Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 798-813 (2021) - [j62]Debamita Kumar, Pradipta Maji:
Rough-Bayesian approach to select class-pair specific descriptors for HEp-2 cell staining pattern recognition. Pattern Recognit. 117: 107982 (2021) - [j61]Pradipta Maji, Partha Garai:
Rough Hypercuboid Based Generalized and Robust IT2 Fuzzy C-Means Algorithm. IEEE Trans. Cybern. 51(7): 3641-3652 (2021) - [c47]Pradipta Maji, Shaswati Roy:
Rough-Fuzzy Segmentation of Brain MR Volumes: Applications in Tumor Detection and Malignancy Assessment. IJCRS 2021: 35-43 - 2020
- [j60]Debamita Kumar, Pradipta Maji:
Selection of relevant texture descriptors for recognition of HEp-2 cell staining patterns. Int. J. Mach. Learn. Cybern. 11(9): 2127-2147 (2020) - [j59]Ankita Mandal, Pradipta Maji:
CanSuR: a robust method for staining pattern recognition of HEp-2 cell IIF images. Neural Comput. Appl. 32(21): 16471-16489 (2020) - [j58]Shaswati Roy, Pradipta Maji:
Rough segmentation of coherent local intensity for bias induced 3-D MR brain images. Pattern Recognit. 97 (2020) - [j57]Aparajita Khan, Pradipta Maji:
Low-Rank Joint Subspace Construction for Cancer Subtype Discovery. IEEE ACM Trans. Comput. Biol. Bioinform. 17(4): 1290-1302 (2020) - [j56]Shaswati Roy, Pradipta Maji:
Medical Image Segmentation by Partitioning Spatially Constrained Fuzzy Approximation Spaces. IEEE Trans. Fuzzy Syst. 28(5): 965-977 (2020) - [j55]Abhirup Banerjee, Pradipta Maji:
A Spatially Constrained Probabilistic Model for Robust Image Segmentation. IEEE Trans. Image Process. 29: 4898-4910 (2020) - [j54]Pradipta Maji, Suman Mahapatra:
Circular Clustering in Fuzzy Approximation Spaces for Color Normalization of Histological Images. IEEE Trans. Medical Imaging 39(5): 1735-1745 (2020)
2010 – 2019
- 2019
- [j53]Pradipta Maji, Suman Mahapatra:
Rough-Fuzzy Circular Clustering for Color Normalization of Histological Images. Fundam. Informaticae 164(1): 103-117 (2019) - [j52]Abhirup Banerjee, Pradipta Maji:
Segmentation of bias field induced brain MR images using rough sets and stomped-t distribution. Inf. Sci. 504: 520-545 (2019) - [c46]Debamita Kumar, Pradipta Maji:
An Efficient Method for Automatic Recognition of Virus Particles in TEM Images. PReMI (2) 2019: 21-31 - [c45]Debamita Kumar, Pradipta Maji:
Rough Sets and Local Texture Features for Diagnosis of Connective Tissue Disorders. IJCRS 2019: 465-479 - [e3]Bhabesh Deka, Pradipta Maji, Sushmita Mitra, Dhruba Kumar Bhattacharyya, Prabin Kumar Bora, Sankar Kumar Pal:
Pattern Recognition and Machine Intelligence - 8th International Conference, PReMI 2019, Tezpur, India, December 17-20, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11941, Springer 2019, ISBN 978-3-030-34868-7 [contents] - [e2]Bhabesh Deka, Pradipta Maji, Sushmita Mitra, Dhruba Kumar Bhattacharyya, Prabin Kumar Bora, Sankar Kumar Pal:
Pattern Recognition and Machine Intelligence - 8th International Conference, PReMI 2019, Tezpur, India, December 17-20, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11942, Springer 2019, ISBN 978-3-030-34871-7 [contents] - 2018
- [j51]Abhirup Banerjee, Pradipta Maji:
Spatially Constrained Student's t-Distribution Based Mixture Model for Robust Image Segmentation. J. Math. Imaging Vis. 60(3): 355-381 (2018) - [j50]Ankita Mandal, Pradipta Maji:
FaRoC: Fast and Robust Supervised Canonical Correlation Analysis for Multimodal Omics Data. IEEE Trans. Cybern. 48(4): 1229-1241 (2018) - 2017
- [j49]Shaswati Roy, Pradipta Maji:
Rough-fuzzy segmentation of HEp-2 cell indirect immunofluorescence images. Int. J. Data Min. Bioinform. 17(4): 311-340 (2017) - [j48]Pradipta Maji, Ekta Shah, Sushmita Paul:
RelSim: An integrated method to identify disease genes using gene expression profiles and PPIN based similarity measure. Inf. Sci. 384: 110-125 (2017) - [j47]Abhirup Banerjee, Pradipta Maji:
Stomped-t: A novel probability distribution for rough-probabilistic clustering. Inf. Sci. 421: 104-125 (2017) - [j46]Pradipta Maji, Ankita Mandal:
Multimodal Omics Data Integration Using Max Relevance-Max Significance Criterion. IEEE Trans. Biomed. Eng. 64(8): 1841-1851 (2017) - [j45]Pradipta Maji, Ekta Shah:
Significance and Functional Similarity for Identification of Disease Genes. IEEE ACM Trans. Comput. Biol. Bioinform. 14(6): 1419-1433 (2017) - [c44]Ekta Shah, Pradipta Maji:
Rough Hypercuboid and Modified Kulczynski Coefficient for Disease Gene Identification. ACIIDS (2) 2017: 465-474 - [c43]Ashish Phophalia, Pradipta Maji:
Multimodal Brain Tumor Segmentation Using Ensemble of Forest Method. BrainLes@MICCAI 2017: 159-168 - [c42]Ankita Mandal, Pradipta Maji:
A New Method to Address Singularity Problem in Multimodal Data Analysis. PReMI 2017: 43-51 - [c41]Pradipta Maji:
Advances in Rough Set Based Hybrid Approaches for Medical Image Analysis. IJCRS (1) 2017: 25-33 - [c40]Ankita Mandal, Pradipta Maji:
Regularization and Shrinkage in Rough Set Based Canonical Correlation Analysis. IJCRS (1) 2017: 432-446 - 2016
- [j44]Abhirup Banerjee, Pradipta Maji:
Rough-probabilistic clustering and hidden Markov random field model for segmentation of HEp-2 cell and brain MR images. Appl. Soft Comput. 46: 558-576 (2016) - [j43]Pradipta Maji, Ankita Mandal:
Rough Hypercuboid Based Supervised Regularized Canonical Correlation for Multimodal Data Analysis. Fundam. Informaticae 148(1-2): 133-155 (2016) - [j42]Sumit Adak, Nazma Naskar, Pradipta Maji, Sukanta Das:
On Synthesis of Non-Uniform Cellular Automata Having Only Point Attractors. J. Cell. Autom. 12(1-2): 81-100 (2016) - [j41]Pradipta Maji, Sankar K. Pal, Andrzej Skowron:
Preface: pattern recognition and mining. Nat. Comput. 15(3): 355-357 (2016) - [j40]Sushmita Paul, Pradipta Maji:
Gene expression and protein-protein interaction data for identification of colon cancer related genes using f-information measures. Nat. Comput. 15(3): 449-463 (2016) - [c39]Shaswati Roy, Pradipta Maji:
A modified rough-fuzzy clustering algorithm with spatial information for HEp-2 cell image segmentation. BIBM 2016: 383-388 - [c38]Partha Garai, Pradipta Maji:
Clustering of microRNAs Using Rough Hypercuboid Based Fuzzy C-Means. ICIT 2016: 304-308 - 2015
- [j39]Pradipta Maji, Shaswati Roy:
Rough-fuzzy clustering and multiresolution image analysis for text-graphics segmentation. Appl. Soft Comput. 30: 705-721 (2015) - [j38]Pradipta Maji, Partha Garai:
Simultaneous Feature Selection and Extraction Using Feature Significance. Fundam. Informaticae 136(4): 405-431 (2015) - [j37]Pradipta Maji, Shaswati Roy:
SoBT-RFW: Rough-Fuzzy Computing and Wavelet Analysis Based Automatic Brain Tumor Detection Method from MR Images. Fundam. Informaticae 142(1-4): 237-267 (2015) - [j36]Chandra Das, Pradipta Maji:
Possibilistic biclustering algorithm for discovering value-coherent overlapping δ-biclusters. Int. J. Mach. Learn. Cybern. 6(1): 95-107 (2015) - [j35]Pradipta Maji, Partha Garai:
IT2 Fuzzy-Rough Sets and Max Relevance-Max Significance Criterion for Attribute Selection. IEEE Trans. Cybern. 45(8): 1657-1668 (2015) - [j34]Abhirup Banerjee, Pradipta Maji:
Rough Sets and Stomped Normal Distribution for Simultaneous Segmentation and Bias Field Correction in Brain MR Images. IEEE Trans. Image Process. 24(12): 5764-5776 (2015) - [c37]Pradipta Maji, Ankita Mandal, Madhura Ganguly, Sanjoy Kumar Saha:
An automated method for counting and characterizing red blood cells using mathematical morphology. ICAPR 2015: 1-6 - [c36]Shaswati Roy, Pradipta Maji:
A simple skull stripping algorithm for brain MRI. ICAPR 2015: 1-6 - [c35]Shaswati Roy, Pradipta Maji:
A New Post-processing Method to Detect Brain Tumor Using Rough-Fuzzy Clustering. PReMI 2015: 407-417 - [c34]Pradipta Maji, Ekta Shah, Sushmita Paul:
A New Similarity Measure for Identification of Disease Genes. PReMI 2015: 451-461 - [c33]Abhirup Banerjee, Pradipta Maji:
Rough Sets for Finite Mixture Model Based HEp-2 Cell Segmentation. RSKT 2015: 459-469 - 2014
- [b1]Pradipta Maji, Sushmita Paul:
Scalable Pattern Recognition Algorithms - Applications in Computational Biology and Bioinformatics. Springer 2014, ISBN 978-3-319-05629-6, pp. 1-297 - [j33]Sushmita Paul, Pradipta Maji:
Gene ontology based quantitative index to select functionally diverse genes. Int. J. Mach. Learn. Cybern. 5(2): 245-262 (2014) - [j32]Pradipta Maji:
A Rough Hypercuboid Approach for Feature Selection in Approximation Spaces. IEEE Trans. Knowl. Data Eng. 26(1): 16-29 (2014) - [c32]Nazma Naskar, Sumit Adak, Pradipta Maji, Sukanta Das:
Synthesis of Non-uniform Cellular Automata Having only Point Attractors. ACRI 2014: 105-114 - 2013
- [j31]Pradipta Maji, Partha Garai:
On fuzzy-rough attribute selection: Criteria of Max-Dependency, Max-Relevance, Min-Redundancy, and Max-Significance. Appl. Soft Comput. 13(9): 3968-3980 (2013) - [j30]Sushmita Paul, Pradipta Maji:
µHEM for identification of differentially expressed miRNAs using hypercuboid equivalence partition matrix. BMC Bioinform. 14: 266 (2013) - [j29]Pradipta Maji, Sushmita Paul:
Robust Rough-Fuzzy C-Means Algorithm: Design and Applications in Coding and Non-coding RNA Expression Data Clustering. Fundam. Informaticae 124(1-2): 153-174 (2013) - [j28]Pradipta Maji, Sushmita Paul:
Rough-Fuzzy Clustering for Grouping Functionally Similar Genes from Microarray Data. IEEE ACM Trans. Comput. Biol. Bioinform. 10(2): 286-299 (2013) - [j27]Pradipta Maji, Partha Garai:
Fuzzy-Rough Simultaneous Attribute Selection and Feature Extraction Algorithm. IEEE Trans. Cybern. 43(4): 1166-1177 (2013) - [j26]Abhirup Banerjee, Pradipta Maji:
Rough Sets for Bias Field Correction in MR Images Using Contraharmonic Mean and Quantitative Index. IEEE Trans. Medical Imaging 32(11): 2140-2151 (2013) - [c31]Abhirup Banerjee, Pradipta Maji:
Contraharmonic Mean Based Bias Field Correction in MR Images. CAIP (1) 2013: 523-530 - [c30]Abhirup Banerjee, Pradipta Maji:
Rough Set Based Homogeneous Unsharp Masking for Bias Field Correction in MRI. ICIAP (2) 2013: 542-551 - [c29]Pradipta Maji, Shaswati Roy, Malay K. Kundu:
Rough-Fuzzy Clustering and M-Band Wavelet Packet for Text-Graphics Segmentation. PReMI 2013: 530-538 - [c28]Sushmita Paul, Pradipta Maji:
City Block Distance for Identification of Co-expressed MicroRNAs. SEMCCO (2) 2013: 387-396 - [p2]Pradipta Maji, Sushmita Paul:
Rough Set-Based Feature Selection: Criteria of Max-Dependency, Max-Relevance, and Max-Significance. Rough Sets and Intelligent Systems (2) 2013: 393-418 - [e1]Pradipta Maji, Ashish Ghosh, M. Narasimha Murty, Kuntal Ghosh, Sankar K. Pal:
Pattern Recognition and Machine Intelligence - 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings. Lecture Notes in Computer Science 8251, Springer 2013, ISBN 978-3-642-45061-7 [contents] - 2012
- [j25]Pradipta Maji:
Mutual Information-Based Supervised Attribute Clustering for Microarray Sample Classification. IEEE Trans. Knowl. Data Eng. 24(1): 127-140 (2012) - [c27]Nazma Naskar, Avik Chakraborty, Pradipta Maji, Sukanta Das:
Analysis of Reachability Tree for Identification of Cyclic and Acyclic CA States. ACRI 2012: 63-72 - [c26]Sushmita Paul, Pradipta Maji:
Robust RFCM algorithm for identification of co-expressed miRNAs. BIBM 2012: 1-4 - [c25]Sushmita Paul, Pradipta Maji:
Rough sets and support vector machine for selecting differentially expressed miRNAs. BIBM Workshops 2012: 864-871 - [c24]Pradipta Maji, Partha Garai:
Fuzzy-Rough MRMS Method for Relevant and Significant Attribute Selection. IPMU (1) 2012: 310-320 - [c23]Pradipta Maji, Sushmita Paul:
Rough-Fuzzy C-Means for Clustering Microarray Gene Expression Data. PerMIn 2012: 203-210 - [c22]Pradipta Maji, Partha Garai:
Simultaneous Feature Selection and Extraction Using Fuzzy Rough Sets. SocProS 2012: 115-123 - [c21]Sushmita Paul, Pradipta Maji:
A New Rough-Fuzzy Clustering Algorithm and its Applications. SocProS 2012: 1245-1251 - 2011
- [j24]Pradipta Maji, Sushmita Paul:
Rough set based maximum relevance-maximum significance criterion and Gene selection from microarray data. Int. J. Approx. Reason. 52(3): 408-426 (2011) - [j23]Pradipta Maji:
Fuzzy-Rough Supervised Attribute Clustering Algorithm and Classification of Microarray Data. IEEE Trans. Syst. Man Cybern. Part B 41(1): 222-233 (2011) - [c20]Pradipta Maji, Sushmita Paul:
Microarray Time-Series Data Clustering Using Rough-Fuzzy C-Means Algorithm. BIBM 2011: 269-272 - [c19]Sushmita Paul, Pradipta Maji:
Rough Sets for Selection of Functionally Diverse Genes from Microarray Data. SEMCCO (1) 2011: 477-484 - 2010
- [j22]Chandra Das, Pradipta Maji:
Relevant and Non-Redundant Amino Acid Sequence Selection for Protein Functional Site Identification. Int. J. Softw. Sci. Comput. Intell. 2(2): 19-43 (2010) - [j21]Pradipta Maji, Sankar K. Pal:
Feature Selection Using f-Information Measures in Fuzzy Approximation Spaces. IEEE Trans. Knowl. Data Eng. 22(6): 854-867 (2010) - [j20]Pradipta Maji, Sankar K. Pal:
Fuzzy-Rough Sets for Information Measures and Selection of Relevant Genes From Microarray Data. IEEE Trans. Syst. Man Cybern. Part B 40(3): 741-752 (2010) - [j19]Pradipta Maji, Sushmita Paul:
Rough Sets for Selection of Molecular Descriptors to Predict Biological Activity of Molecules. IEEE Trans. Syst. Man Cybern. Part C 40(6): 639-648 (2010)
2000 – 2009
- 2009
- [j18]Minakshi Banerjee, Malay Kumar Kundu, Pradipta Maji:
Content-based image retrieval using visually significant point features. Fuzzy Sets Syst. 160(23): 3323-3341 (2009) - [j17]Pradipta Maji:
f -Information Measures for Efficient Selection of Discriminative Genes From Microarray Data. IEEE Trans. Biomed. Eng. 56(4): 1063-1069 (2009) - [c18]Chandra Das, Pradipta Maji:
A New Possibilistic Biclustering Algorithm for Microarray Gene Expression Data. IICAI 2009: 113-129 - 2008
- [j16]Pradipta Maji:
On Characterization of Attractor Basins of Fuzzy Multiple Attractor Cellular Automata. Fundam. Informaticae 86(1-2): 143-168 (2008) - [j15]Pradipta Maji, Malay Kumar Kundu, Bhabatosh Chanda:
Second Order Fuzzy Measure and Weighted Co-Occurrence Matrix for Segmentation of Brain MR Images. Fundam. Informaticae 88(1-2): 161-176 (2008) - [j14]Pradipta Maji:
Efficient design of neural network tree using a new splitting criterion. Neurocomputing 71(4-6): 787-800 (2008) - [j13]Pradipta Maji, Parimal Pal Chaudhuri:
Non-uniform cellular automata based associative memory: Evolutionary design and basins of attraction. Inf. Sci. 178(10): 2315-2336 (2008) - [j12]Pradipta Maji, Sankar K. Pal:
Maximum Class Separability for Rough-Fuzzy C-Means Based Brain MR Image Segmentation. Trans. Rough Sets 9: 114-134 (2008) - [c17]Chandra Das, Pradipta Maji:
Prediction of Protein Functional Sites Using Novel String Kernels. ICIT 2008: 127-130 - [c16]Pradipta Maji, Sankar K. Pal:
Rough-Fuzzy Relational Clustering Algorithm for Biological Sequence Mining. RSKT 2008: 292-299 - [p1]Pradipta Maji, Parimal Pal Chaudhuri:
Fault Diagnosis of Electronic Circuits Using Cellular Automata Based Pattern Classifier. Soft Computing Applications in Industry 2008: 225-246 - 2007
- [j11]Pradipta Maji, Parimal Pal Chaudhuri:
RBFFCA: A Hybrid Pattern Classifier Using Radial Basis Function and Fuzzy Cellular Automata. Fundam. Informaticae 78(3): 369-396 (2007) - [j10]Pradipta Maji, Sankar K. Pal:
RFCM: A Hybrid Clustering Algorithm Using Rough and Fuzzy Sets. Fundam. Informaticae 80(4): 475-496 (2007) - [j9]Pradipta Maji, Sankar K. Pal:
Protein sequence analysis using relational soft clustering algorithms. Int. J. Comput. Math. 84(5): 599-617 (2007) - [j8]Pradipta Maji, Sankar K. Pal:
Statement of Retraction. Int. J. Comput. Math. 84(10): 1547 (2007) - [j7]Pradipta Maji, Sankar K. Pal:
Rough-Fuzzy C-Medoids Algorithm and Selection of Bio-Basis for Amino Acid Sequence Analysis. IEEE Trans. Knowl. Data Eng. 19(6): 859-872 (2007) - [j6]Pradipta Maji, Sankar K. Pal:
Rough Set Based Generalized Fuzzy C-Means Algorithm and Quantitative Indices. IEEE Trans. Syst. Man Cybern. Part B 37(6): 1529-1540 (2007) - [c15]Pradipta Maji, Bhabatosh Chanda, Malay Kumar Kundu, Suman Dasgupta:
Deformation Correction in Brain MRI Using Mutual Information and Genetic Algorithm. ICCTA 2007: 372-376 - [c14]Pradipta Maji, Sankar K. Pal:
Rough Sets Based Hybrid C-Means Algorithm. IICAI 2007: 1167-1185 - [c13]Pradipta Maji, Parimal Pal Chaudhuri:
Design of Response-Pattern Classi er for Fault Diagnosis of Electronic Circuits. IICAI 2007: 1403-1422 - 2005
- [j5]Pradipta Maji, Parimal Pal Chaudhuri:
Fuzzy Cellular Automata for Modeling Pattern Classifier. IEICE Trans. Inf. Syst. 88-D(4): 691-702 (2005) - [c12]Pradipta Maji, Chandra Das:
Design of Multilayer Perceptron Based Tree-Structured Classifier for Biological Dataset. IICAI 2005: 1527-1546 - 2004
- [j4]Niloy Ganguly, Pradipta Maji, Biplab K. Sikdar, Parimal Pal Chaudhuri:
Design and characterization of cellular automata based associative memory for pattern recognition. IEEE Trans. Syst. Man Cybern. Part B 34(1): 672-678 (2004) - [c11]Pradipta Maji, Biplab K. Sikdar, Parimal Pal Chaudhuri:
Cellular Automata Evolution for Distributed Data Mining. ACRI 2004: 40-49 - [c10]Chandrama Shaw, Pradipta Maji, Sourav Saha, Biplab K. Sikdar, Samir Roy, Parimal Pal Chaudhuri:
Cellular Automata Based Encompression Technology for Voice Data. ACRI 2004: 258-267 - [c9]Pradipta Maji, Biplab K. Sikdar, Parimal Pal Chaudhuri:
Cellular Automata Evolution for Pattern Classification. ACRI 2004: 660-669 - [c8]Pradipta Maji, Parimal Pal Chaudhuri:
FMACA: A Fuzzy Cellular Automata Based Pattern Classifier. DASFAA 2004: 494-505 - [c7]Pradipta Maji, Parimal Pal Chaudhuri:
Cellular Automata Based Pattern Classifying Machine for Distributed Data Mining. ICONIP 2004: 848-853 - 2003
- [j3]Pradipta Maji, Chandrama Shaw, Niloy Ganguly, Biplab K. Sikdar, Parimal Pal Chaudhuri:
Theory and Application of Cellular Automata For Pattern Classification. Fundam. Informaticae 58(2003): 321-354 (2003) - [j2]Pradipta Maji, Niloy Ganguly, Parimal Pal Chaudhuri:
Error correcting capability of cellular automata based associative memory. IEEE Trans. Syst. Man Cybern. Part A 33(4): 466-480 (2003) - [c6]Pradipta Maji, Rishi Nandi, Parimal Pal Chaudhuri:
Application of Fuzzy Cellular Automata (FCA) For Modeling Tree-Structured Pattern Classifier. IICAI 2003: 1220-1233 - [c5]Chandrama Shaw, Debashis Chatterji, Pradipta Maji, Subhayan Sen, B. N. Roy, Parimal Pal Chaudhuri:
A Pipeline Architecture for Encompression (Encryption + Compression) Technology. VLSI Design 2003: 277-282 - 2002
- [j1]Niloy Ganguly, Pradipta Maji, Biplab K. Sikdar, Parimal Pal Chaudhuri:
Generalized Multiple Attractor Cellular Automata (GMACA) Model for Associative Memory. Int. J. Pattern Recognit. Artif. Intell. 16(7): 781-796 (2002) - [c4]Niloy Ganguly, Pradipta Maji, Sandip Dhar, Biplab K. Sikdar, Parimal Pal Chaudhuri:
Evolving Cellular Automata as Pattern Classifier. ACRI 2002: 56-68 - [c3]Pradipta Maji, Niloy Ganguly, Sourav Saha, Anup K. Roy, Parimal Pal Chaudhuri:
Cellular Automata Machine for Pattern Recognition. ACRI 2002: 270-281 - [c2]Niloy Ganguly, Pradipta Maji, Arijit Das, Biplab K. Sikdar, Parimal Pal Chaudhuri:
Characterization of Non-linear Cellular Automata Model for Pattern Recognition. AFSS 2002: 214-220 - 2001
- [c1]Niloy Ganguly, Arijit Das, Pradipta Maji, Biplab K. Sikdar, Parimal Pal Chaudhuri:
Evolving Cellular Automata Based Associative Memory for Pattern Recognition. HiPC 2001: 115-124