| 2009 |
42 | | Anirban Mukhopadhyay,
Ujjwal Maulik,
Sanghamitra Bandyopadhyay:
Refining Genetic Algorithm Based Fuzzy Clustering through Supervised Learning for Unsupervised Cancer Classification.
EvoBIO 2009: 191-202 |
41 | | Indrajit Saha,
Ujjwal Maulik,
Sanghamitra Bandyopadhyay:
An Improved Multi-objective Technique for Fuzzy Clustering with Application to IRS Image Segmentation.
EvoWorkshops 2009: 426-431 |
40 | | Anirban Mukhopadhyay,
Ujjwal Maulik,
Sanghamitra Bandyopadhyay:
Multiobjective Genetic Clustering with Ensemble Among Pareto Front Solutions: Application to MRI Brain Image Segmentation.
ICAPR 2009: 236-239 |
39 | | Anasua Sarkar,
Ujjwal Maulik:
Parallel Point Symmetry Based Clustering for Gene Microarray Data.
ICAPR 2009: 351-354 |
38 | | Anirban Mukhopadhyay,
Ujjwal Maulik:
Unsupervised Satellite Image Segmentation by Combining SA Based Fuzzy Clustering with Support Vector Machine.
ICAPR 2009: 381-384 |
37 | | Siddhartha Bhattacharyya,
Ujjwal Maulik,
Paramartha Dutta:
High-speed target tracking by fuzzy hostility-induced segmentation of optical flow field.
Appl. Soft Comput. 9(1): 126-134 (2009) |
36 | | Ujjwal Maulik,
Anirban Mukhopadhyay,
Sanghamitra Bandyopadhyay:
Combining Pareto-optimal clusters using supervised learning for identifying co-expressed genes.
BMC Bioinformatics 10: (2009) |
35 | | Anirban Mukhopadhyay,
Ujjwal Maulik:
Towards improving fuzzy clustering using support vector machine: Application to gene expression data.
Pattern Recognition 42(11): 2744-2763 (2009) |
34 | | Ujjwal Maulik,
Indrajit Saha:
Modified differential evolution based fuzzy clustering for pixel classification in remote sensing imagery.
Pattern Recognition 42(9): 2135-2149 (2009) |
| 2008 |
33 | | Chingtham Tejbanta Singh,
Ujjwal Maulik:
A framework for an artificial immunity and speech based navigation for mobile robots.
IEEE Congress on Evolutionary Computation 2008: 1247-1251 |
32 | | Ujjwal Maulik,
Anirban Mukhopadhyay,
Sanghamitra Bandyopadhyay,
Michael Q. Zhang,
Xuegong Zhang:
Multiobjective fuzzy biclustering in microarray data: Method and a new performance measure.
IEEE Congress on Evolutionary Computation 2008: 1536-1543 |
31 | | Anirban Mukhopadhyay,
Sanghamitra Bandyopadhyay,
Ujjwal Maulik:
Combining multiobjective fuzzy clustering and probabilistic ANN classifier for unsupervised pattern classification: Application to satellite image segmentation.
IEEE Congress on Evolutionary Computation 2008: 877-883 |
30 | | Anirban Mukhopadhyay,
Ujjwal Maulik:
Unsupervised Pixel Classification in Satellite Imagery: A Two-stage Fuzzy Clustering Approach.
Fundam. Inform. 86(4): 411-428 (2008) |
29 | | Sanghamitra Bandyopadhyay,
Sriparna Saha,
Ujjwal Maulik,
K. Deb:
A Simulated Annealing-Based Multiobjective Optimization Algorithm: AMOSA.
IEEE Trans. Evolutionary Computation 12(3): 269-283 (2008) |
28 | | Sanghamitra Bandyopadhyay,
Ujjwal Maulik,
D. Roy:
Gene Identification: Classical and Computational Intelligence Approaches.
IEEE Transactions on Systems, Man, and Cybernetics, Part C 38(1): 55-68 (2008) |
| 2007 |
27 | | Sanghamitra Bandyopadhyay,
Ujjwal Maulik,
Jason Tsong-Li Wang:
Analysis of Biological Data: A Soft Computing Approach
World Scientific 2007 |
26 | | Anirban Mukhopadhyay,
Ujjwal Maulik,
Sanghamitra Bandyopadhyay:
Multiobjective Genetic Fuzzy Clustering of Categorical Attributes.
ICIT 2007: 74-79 |
25 | | Anirban Mukhopadhyay,
Ujjwal Maulik:
Multiobjective approach to categorical data clustering.
IEEE Congress on Evolutionary Computation 2007: 1296-1303 |
24 | | Sanghamitra Bandyopadhyay,
Santanu Santra,
Ujjwal Maulik,
Heinz Mühlenbein:
In Silico Design of Ligands Using Properties of Target Active Sites.
Analysis of Biological Data: A Soft Computing Approach 2007: 183-201 |
23 | | Anirban Mukhopadhyay,
Ujjwal Maulik,
Sanghamitra Bandyopadhyay:
Multiobjective Evolutionary Approach to Fuzzy Clustering of Microarray Data.
Analysis of Biological Data: A Soft Computing Approach 2007: 303-328 |
22 | | Sanghamitra Bandyopadhyay,
Anirban Mukhopadhyay,
Ujjwal Maulik:
An improved algorithm for clustering gene expression data.
Bioinformatics 23(21): 2859-2865 (2007) |
21 | | Siddhartha Bhattacharyya,
Paramartha Dutta,
Ujjwal Maulik:
Binary object extraction using bi-directional self-organizing neural network (BDSONN) architecture with fuzzy context sensitive thresholding.
Pattern Anal. Appl. 10(4): 345-360 (2007) |
| 2006 |
20 | | Anirban Mukhopadhyay,
Ujjwal Maulik,
Sanghamitra Bandyopadhyay:
Efficient Two-stage Fuzzy Clustering of Microarray Gene Expression Data.
ICIT 2006: 11-14 |
19 | | Sriparna Saha,
Sanghamitra Bandyopadhyay,
Ujjwal Maulik:
A New Symmetry Based Cluster Validity Index: Application to Satellite Image Segmentation.
ICIT 2006: 121-124 |
18 | | Sanghamitra Bandyopadhyay,
Chris Giannella,
Ujjwal Maulik,
Hillol Kargupta,
Kun Liu,
Souptik Datta:
Clustering distributed data streams in peer-to-peer environments.
Inf. Sci. 176(14): 1952-1985 (2006) |
| 2005 |
17 | | Malay Kumar Pakhira,
Sanghamitra Bandyopadhyay,
Ujjwal Maulik:
A study of some fuzzy cluster validity indices, genetic clustering and application to pixel classification.
Fuzzy Sets and Systems 155(2): 191-214 (2005) |
16 | | Sanghamitra Bandyopadhyay,
Angshuman Bagchi,
Ujjwal Maulik:
Active Site Driven Ligand Design: an Evolutionary Approach.
J. Bioinformatics and Computational Biology 3(5): 1053-1070 (2005) |
| 2004 |
15 | | Malay Kumar Pakhira,
Sanghamitra Bandyopadhyay,
Ujjwal Maulik:
Validity index for crisp and fuzzy clusters.
Pattern Recognition 37(3): 487-501 (2004) |
| 2003 |
14 | | S. Roy,
Sanghamitra Bandyopadhyay,
Ujjwal Maulik:
Evolutionary Approach to Solve the Complex-Triangle Elimination (CTE) Problem of VLSI Floor-planning.
IICAI 2003: 646-655 |
13 | | Bijay Baran Pal,
Bhola Nath Moitra,
Ujjwal Maulik:
A goal programming procedure for fuzzy multiobjective linear fractional programming problem.
Fuzzy Sets and Systems 139(2): 395-405 (2003) |
| 2002 |
12 | | Sanghamitra Bandyopadhyay,
Ujjwal Maulik,
Diane J. Cook,
Lawrence B. Holder,
Yousuf Ajmerwala:
Enhancing Structure Discovery for Data Mining in Graphical Databases Using Evolutionary Programming.
FLAIRS Conference 2002: 232-236 |
11 | | Ujjwal Maulik,
Sanghamitra Bandyopadhyay,
Malay Kumar Pakhira:
Clustering Using Annealing Evolution: Application to Pixel Classification of Satellite Images.
ICVGIP 2002 |
10 | | S. Bhattacharya,
Ujjwal Maulik,
Sanghamitra Bandyopadhyay:
Efficient Object Extraction Using Fuzzy Cardinality Based Thresholding, Hopfield Network.
ICVGIP 2002 |
9 | | Ujjwal Maulik,
Sanghamitra Bandyopadhyay:
Performance Evaluation of Some Clustering Algorithms and Validity Indices.
IEEE Trans. Pattern Anal. Mach. Intell. 24(12): 1650-1654 (2002) |
8 | | Sanghamitra Bandyopadhyay,
Ujjwal Maulik:
An evolutionary technique based on K-Means algorithm for optimal clustering in RN.
Inf. Sci. 146(1-4): 221-237 (2002) |
7 | | Sanghamitra Bandyopadhyay,
Ujjwal Maulik:
Efficient prototype reordering in nearest neighbor classification.
Pattern Recognition 35(12): 2791-2799 (2002) |
6 | | Sanghamitra Bandyopadhyay,
Ujjwal Maulik:
Genetic clustering for automatic evolution of clusters and application to image classification.
Pattern Recognition 35(6): 1197-1208 (2002) |
| 2001 |
5 | | Sanghamitra Bandyopadhyay,
Ujjwal Maulik,
Malay Kumar Pakhira:
Clustering Using Simulated Annealing with Probabilistic Redistribution.
IJPRAI 15(2): 269-285 (2001) |
4 | | Ujjwal Maulik,
Sanghamitra Bandyopadhyay,
John C. Trinder:
SAFE: An Efficient Feature Extraction Technique.
Knowl. Inf. Syst. 3(3): 374-387 (2001) |
| 2000 |
3 | | Ujjwal Maulik,
Sanghamitra Bandyopadhyay,
Siddhartha Bhattacharyya:
Fault tolerant permutation mapping in multistage interconnection network.
Journal of Systems Architecture 46(3): 297-300 (2000) |
2 | | Ujjwal Maulik,
Sanghamitra Bandyopadhyay:
Genetic algorithm-based clustering technique.
Pattern Recognition 33(9): 1455-1465 (2000) |
| 1998 |
1 | | Sanghamitra Bandyopadhyay,
Sankar K. Pal,
Ujjwal Maulik:
Incorporating Chromosome Differentaition in Genetic Algorithms.
Inf. Sci. 104(3-4): 293-319 (1998) |