| Research Publications: |
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BOOKS |
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1) |
P. Maji and S. K. Pal, Rough Fuzzy Pattern Recognition: Application in Bioinformatics and Medical Imaging, John Wiley, N.Y. , 2012. |
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2) |
S. K. Pal, A. Petrosino and L. Maddalena (eds.), Handbook on Soft Computing for Video Surveillance, Chapman & Hall/CRC, Boca Raton, Florida, 2012. |
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3) |
S. O. Kuzentsov, D. P. Mandal, M. K. Kundu and S. K. Pal (eds.), Pattern Recognition and Machine Intelligence, LNCS 6744, Springer-Verlag, Berlin, Heidelberg, 2011. |
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4) |
D. Slezak, S. K. Pal, B.- H. Kang, J. Gu, H. Kuroda and T.- H Kim (eds.), Signal Processing, Image Processing and Pattern Recognition, Springer-Verlag, Berlin, Heidelberg, 2010. |
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5) |
S. K. Pal and J. F. Peters (eds.), Rough-fuzzy Image Analysis: Foundations and Methods, Chapman & Hall/CRC, Boca Raton, Florida, 2010. |
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6) |
S. Chaudhury, S. Mitra, C. A. Murthy, Sastry P.S. and S. K. Pal (eds.), Pattern Recognition and Machine Intelligence, Springer-Verlag, Berlin, Heidelberg, 2009. |
| 7) |
V. D. Gesu, S. K. Pal and A. Petrosino (eds.), Fuzzy Logic and Applications, Springer-Verlag, Berlin, Heidelberg, 2009. |
| 8) |
A. Ghosh, S. Dehuri and S. Ghosh (eds.), Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, ISBN 978-3-540-77466-2, Springer, 2008. |
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9) |
S. Bandyopadhyay and S. K. Pal, Classification and Learning using Genetic Algorithms: Applications in Bioinformatics and Web Intelligence, ISBN 978-3-540-49606-9, Springer-Verlag, Hiedelberg, Germany, 2007 |
| 10) |
A. Ghosh, R. K. De and S. K. Pal (eds.), Pattern Recognition and Machine Intelligence, LNCS 4815, Springer, 2007. |
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JOURNAL PAPERS |
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| 1) |
M. K. Kundu, M. Chowdhury, and M. Banerjee, "Interactive Image Retrieval using M-band wavelet,Earth Mover's Distance and Fuzzy Relevance Feedback", International Journal of Machine Learning and Cybernetics (accepted). |
| 2) |
D. Bhandari, C. A. Murthy, and S. K. Pal, "Variance as a stopping criterion for genetic algorithms with elitist model", Fundamenta Informaticae (accepted). |
| 3) |
M. K. Chakraborty & Soma Dutta, "Grade in metalogical notions: a comparative study of fuzzy logics," Mathware and Soft Computing (accepted). |
| 4) |
S. K. Pal, S. K. Meher and S. Dutta, "Class-Dependent Rough-Fuzzy Granular Space, Dispersion Index and Classification", Pattern Recognition, 45 (7), pp. 2690-2707, 2012. |
| 5) |
D. Sen and S. K. Pal, "Improving feature space based image segmentation via density modification", Information Sciences, 191, pp. 169-191, 2012. |
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6) |
S. Patra, S. Ghosh and A. Ghosh, "Histogram thresholding for unsupervised change detection of remote sensing images", International Journal of Remote Sensing, 32 (21), pp. 6071-6089, 2011. |
| 7) |
A. Ganivada and S.K. Pal, "A novel fuzzy rough granular neural network for classification", Special Issue in International Journal in Computational Intelligence Systems, 4 (5), pp. 1042-1051, 2011. |
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8) |
S. K. Meher and S. K. Pal, "Rough-wavelet granular space and classification of multispectral remote sensing image", Applied Soft Computing (Elsevier) 11 (8), pp. 5662-5673, 2011. |
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9) |
A. Halder, A. Ghosh and S. Ghosh, "Supervised and unsupervised landuse map generation from remotely sensed images using ant based systems", Applied Soft Computing (Elsevier), 11 (8), pp. 5770-5781, 2011. |
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10) |
D. Sen and S. K. Pal, "Automatic exact histogram specification for contrast enhancement and visual system based quantitative evaluation", IEEE Transactions on Image Processing, 20 (5), pp. 1211-1220, 2011. |
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11) |
A. Ganivada, S. Dutta and S. K. Pal, "Fuzzy rough granular neural networks, fuzzy granules and classification", Theoretical Computer Science, Special issue on Rough Sets and Fuzzy Sets in Natural Computing, 412 (42), pp. 5834-5853, 2011. |
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12) |
S. P. Maity and M. K. Kundu, "Perceptually adaptive spread transform image watermarking scheme using Hadamard transform," Information Sciences, 181, pp. 450-465, 2011. |
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13) |
P. Samanta and M. K. Chakraborty, "Generalized rough sets and implication lattices," LNCS Trans. on Rough Set, 6600, pp. 183-201, 2011. |
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14) |
Soma Dutta and M. K. Chakraborty, "Negation and paraconsistent logics," Logica Universalis, 5 (1), pp. 165-176, 2011. |
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15) |
S. Dehuri, B. Misra, A. Ghosh and S.-B. Cho, "A condensed polynomial neural network for classification using swarm intelligence," Applied Soft Computing, 11, pp. 3106-3113, 2011. |
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16) |
A. Ghosh, N. S. Mishra and S. Ghosh, "Fuzzy clustering algorithms for unsupervised change detection in remote sensing images," Information Sciences, 181, pp. 699-715, 2011. |
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17) |
P. Maji and S. K. Pal, "Feature selection using f-information measures in fuzzy approximation spaces," IEEE Trans . on Knowledge and Data Engineering, 22 (6), pp. 854-867, 2010. |
| 18) |
P. Maji and S. K. Pal, "Fuzzy-rough sets for information measures and selection of relevant genes from microarray data," IEEE Trans . on Systems, Man, and Cybernetics B, 40 (3), pp. 741-752, 2010 |
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19) |
K. Ghosh and S. K. Pal, "Some insights into brightness perception of images in the light of a new computational model of figure-ground segregation," IEEE Trans . on Systems, Man, and Cybernetics A, 40 (4), pp. 758-766, 2010. |
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20) |
S. Saha, C. A. Murthy and S. K. Pal, "A novel split and merge technique for hypertext classification", LNCS Trans. on Rough Set, 6190, pp. 192-210, 2010. |
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21) |
S. Saha, C. A. Murthy and S. K. Pal, "Application of rough ensemble classifier to web services categorization and focused crawling", Web Intelligence and Agent Systems, 8(2), pp. 181-202, 2010. |
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22) |
D. Sen and S. K. Pal, "Gradient histogram: thresholding in a region of interest for edge detection", Image and Vision Computing, 28 (4), pp. 677-695, 2010. |
| 23) |
S. Mitra, W. Pedrycz and B. Barman, "Shadowed c-means: integrating fuzzy and rough clustering", Pattern Recognition, 43(4), pp. 1282-1291, 2010. |
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24) |
K. Ghosh and K. Bhaumik, "Complexity in human perception of brightness: a historical review on the evolution of the philosophy of visual perception", Online Journal of Biological Sciences, 10(1), p. 17, 2010. |
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25) |
S. Saha, C. A. Murthy and S. K. Pal, "Tensor framework and combined symmetry for hypertext mining", Fundamenta Informaticae, 97(1-2), pp. 215-234, 2009. |
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26) |
S. K. Pal, "Computational theory perception (CTP), rough-fuzzy uncertainity analysis and mining in bioinformatics and web intelligence: a unified framework ", LNCS Trans. on Rough Set, 5946, 106-129, 2009. |
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27) |
M. Banerjee, M. K. Kundu and P. Maji, "Content-based image retrieval using visually significant point features", Fuzzy Sets and Systems, 160 (23), pp. 3323-3341, 2009. |
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28) |
A. Halder, A. Ghosh and S. Ghosh, "Aggregation pheromone density based pattern classification", Fundamenta Informaticae, 92 (4), pp. 345-362, 2009. |
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29) |
A. Ghosh, S. K. Meher and B. Uma Shankar, "A novel approach to neuro-fuzzy classification", Neural Networks, 22, pp. 100-109, 2009. |
| 30 |
S. Ghosh, S. Patra and A. Ghosh, " An unsupervised context-sensitive change detection technique based on modified self-organizing feature map neural network", International Journal of Approximate Reasoning, 50, pp. 37-50, 2009. |
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31) |
S. Ghosh, M. Kothari, A. Halder and A. Ghosh, "Use of aggregation pheromone density for image segmentation", Pattern Recognition Letters, 30, pp. 939-949, 2009. |
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32) |
D. Sen, and S. K. Pal, "Generalized rough sets, entropy and image ambiguity measures", IEEE Trans. on System, Man and Cybernetics -Part B, 39(1), pp. 117-128, 2009. |
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33) |
D. Sen and S .K. Pal, "Histogram thresholding using fuzzy and rough measures of association error", IEEE Trans. on Image Processing, 18(4), pp. 879-888, 2009. |
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34) |
S. S. Ray, S. Bandyopadhyay and S. K. Pal, "Combining multi-source information through functional annotation based weighting: gene function prediction in yeast", IEEE Trans. on Biomedical Engineering, 56 (2), pp. 229-236, 2009. (The article is included in the Saccharomyces Genome Database (SGD) as a curated paper). |
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35) |
S. P. Maity and M. K. Kundu, "Dual purpose spread spectrum image watermarking in real time", International Journal of Computers & Electrical Engineering (Special Issue on Real-Time Security and Copyright Protection of Multimedia), 35(2), pp. 415-433, 2009. |
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36) |
S. Mitra, R. Das, H. Banka and S. Mukhopadhyay, "Gene interaction - an evolutionary biclustering approach", Information Fusion, 10 (3), pp. 242-249, 2009. |
| 37) |
K. Ghosh, S. Sarkar and K. Bhaumik, "A possible mechanism of stochastic resonance in the light of an extra classical receptive field model of retinal ganglion cells ", Biological Cybernetics, 100, p. 351, 2009. |
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38) |
S. P. Maity and M. K. Kundu, "Genetic algorithms for optimality of data hiding in digital images", Soft Computing :A Fusion of Foundations, Methodologies and Applications (special issue on Bio-Inspired Information Hiding, 13(4), pp. 361-373, 2009. |
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39) |
P. Maji and S. K. Pal, " Maximum class separability for rough-fuzzy c-means based brain MR image segmentation ", LNCS Trans. on Rough Sets, 5390, pp. 114-134, 2008. |
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40) |
B. Nath, D. K. Bhattacharyya and A. Ghosh, "Faster generation of association rules", International Journal of Information Technology and Knowledge Management, 1, pp. 267-279, 2008. |
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41) |
A. Ghosh, S. K. Meher and B. Uma Shankar, "A novel fuzzy classifier based on product aggregation operator" , Pattern Recognition, 41, pp. 961-971, 2008. |
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42) |
M. Banerjee and M. K. Kundu, "Handling of impreciseness in gray level corner detection using fuzzy set theoretic approach", Applied Soft Computing, 8(4), pp.1680-1691, 2008. |
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43) |
M. K. Chakraborty and S. Ghosh, "Nonmonotonic logics and algebras", Journal of CQUPT ,20(3), pp. 355-360, 2008. |
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44) |
S. Dehuri, A. Ghosh and S. B. Cho, "Particle swarm optimized polynomial neural network for classification: a multi-objective view", International Journal of Intelligent Defence Support Systems, 1(3), pp. 225-253, 2008. |
| 45) |
A. Ghosh, A. Halder, M. Kothari and S. Ghosh "Aggregation pheromone density based data clustering", Information Sciences (Elsevier), 178, pp. 2816-2831, 2008. |
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46) |
J. van Benthem, S. Ghosh and F. Liu, "Modelling simultaneous games in dynamic logic", Knowledge, Rationality and Action, Synthese, 165(2), pp. 247-268, 2008. |
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47) |
S. Patra, S. Ghosh and A. Ghosh, "Change detection of remote sensing images with semi-supervised multilayer perceptron", Fundamenta Informaticae, 84(3/4), pp. 429-442, 2008. |
| 48) |
A. Ghosh and M. K. Das, "Non-dominated rank based sorting genetic algorithm", Fundamenta Informaticae, 83(3), pp. 231-152, 2008. |
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49) |
P. Maji, M. K. Kundu and B. Chanda, "Second order fuzzy measure and weighted co-occurrence matrix for segmentation of brain MR images", Fundamenta Informaticae, 88(1-2), pp. 161-176, 2008. |
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50) |
S. Dehuri, S. Patnaik, A. Ghosh and R. Mall, "Application of elitist multi-objective genetic algorithm in classification rule generation Applied Soft Computing", 8, pp. 477-487, 2008. |
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51) |
K. Ghosh, S. Sarkar and K. Bhaumik, "A theory of 'fuzzy' edge detection in the light of human visual system", Journal of Intelligent Systems,17, p. 229, 2008. |
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52) |
K. Ghosh, K. Bhaumik and S. Sarkar, "Retinomorphic image processing", Progress in Brain Research, 168, p.175, 2008. |
| 53) |
S. Dehuri, A. Ghosh and R. Mall, "Evolving functional link artificial neural network for classification in data mining", Journal of Systems, Science and Engineering, 15(2), pp. 34-41, 2007. |
| 54) |
P. Kanungo, P. K. Nanda and A. Ghosh, "Classification of objects and background using parallel genetic algorithm based clustering", Electronic Letters on Computer Vision and Image Analysis, 6(3), pp. 42-53, 2007. |
| 55) |
S. Dehuri, A. Ghosh and R. Mall, "Parallel multi-objective genetic algorithm for classification rule mining ", IETE Journal of Research, 53(5), pp. 475-483, 2007. |
| 56) |
P. Maji and S. K. Pal, "Rough set based generalized fuzzy c-means algorithm and quantitative indices", IEEE Trans. on Systems, Man and Cybernetics: Part-B, 37(6), pp. 1529-1540, 2007. |
| 57) |
S. S. Ray, S. Bandyopadhyay, and S. K. Pal, "Gene ordering in partitive clustering using microarray expressions", Journal of Biosciences, 32(5), pp. 1-7, 2007. |
| 58) |
A. K. Deb, Jayadeva, M. Gopal and S. Chandra, "SVM based tree type neural networks as critic in adaptive critic designs for control". IEEE Trans. on Neural Networks, 18(4), pp. 1016-1030, 2007. |
| 59) |
P. Maji and S. K. Pal, "Rough-fuzzy c-medoids algorithm and selection of bio-basis for amino acid sequence analysis", IEEE Trans. on Knowledge and Data Engineering, 19(6), pp. 859-872, 2007. |
| 60) |
P. Maji and S. K. Pal, "Protein sequence analysis using relational soft clustering algorithms ", International Journal of Computer Mathematics, 84(5), pp. 599-617, 2007. |
| 61) |
S. Mitra and H. Banka, "Application of rough sets in pattern recognition", Trans. on Rough Sets VII , pp. 151-169, 2007. |
| 62) |
S. Ghosh, L. Bruzzone, S. Patra, F. Bovolo and A. Ghosh, "A context-sensitive technique for unsupervised change detection based on hopfield type neural networks", IEEE Trans. on Geoscience and Remote Sensing, 45(3), pp. 778-789, 2007. |
| 63) |
S. P. Maity, M. K. Kundu and T. S. Das, "Robust SS watermarking with improved capacity", Pattern Recognition Letters, 28, pp. 350-356, 2007. |
| 64) |
P. Maji and S. K. Pal, "RFCM: A hybrid clustering algorithm using rough and fuzzy sets ", Fundamenta Informaticae, 80, pp. 1-22, 2007. |
| 65) |
S. S. Ray, S. Bandyopadhyay and S. K. Pal, "Genetic operators for combinatorial optimization in TSP and microarray gene ordering", Applied Intelligence, 26(3), pp. 183-195, 2007. |
| 66) |
S. S. Ray, S. Bandyopadhyay and S. K. Pal, "Dynamic range based distance measure for microarray expressions and a fast gene ordering algorithm", IEEE Trans. on Systems, Man and Cybernetics: Part-B, 37(3), pp. 742-749, 2007. |
| 67) |
S. Saha, C. A. Murthy and S. K. Pal, "Rough set based ensemble classifier for web page classification", Fundamenta Informaticae, 76(1-2), pp. 171-187, 2007. |
| 68) |
D. Sen and S. K. Pal, "Histogram thresholding using beam theory and ambiguity measures", Fundamenta Informaticae, 75 (1-4), pp. 483-504, 2007. |
| 69) |
S. Dehuri, A. Ghosh, and R. Mall, "Genetic algorithm for multi-criterion classification and clustering in data mining", International Journal of Computing and Information Sciences, 4, pp. 143-154, 2006. |
| 70) |
S. Dehuri, A. K. Jagadev, A. Ghosh and R. Mall, "Multi-objective genetic algorithm for association rule mining using a homogeneous dedicated cluster of workstations", American Journal of Applied Sciences, 3, pp. 2086-2095, 2006. |
| 71) |
H. Banka and S. Mitra, "Evolutionary biclustering of gene expressions", ACM Ubiquity, 7(42), 2006. |
| 72) |
A. Bishnu, B. B. Bhattacharya, M. K. Kundu, C. A. Murthy and T. Acharya, "A pipeline architecture for computing the euler number of a binary image", Journal of Systems Architecture , 51, pp. 470-487, 2005. |
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BOOK CHAPTERS |
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| 1) |
S. K. Pal, "F-Granulation, Generalized Rough Entropy and Image Analysis ", in Science: Image in Action, B. Zavidovique and G. Lo Bosco (eds.), World Scientific, Singapore, pp. 45-63, 2012. |
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2) |
A. Ferone, S. K. Pal and A. Petrosino, "The Role of Soft Computing in Image Analysis: Rough-Fuzzy Approach", in Handbook on Soft Computing for Video Surveillance, Chapman & Hall/CRC, Boca Raton, Florida, pp. 33-58, 2012. |
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3) |
R. Pal, A. Ghosh and, S. K. Pal, "Video Summarization and Significance of Content: A Review", in Handbook on Soft Computing for Video Surveillance, Chapman & Hall/CRC, Boca Raton, Florida, pp. 79-102, 2012. |
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4) |
M. K. Chakraborty, "On fuzzy sets and rough sets from the perspective of indiscernibility ", in Logic and its Applications, Mohua Banerjee and Anil Seth (eds.), LNAI, Springer, Vol. 6521, pp. 22-37, 2011. |
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5) |
D. Sen and S.K. Pal, "Image thresholding using generalized rough sets", in Rough Fuzzy Image Analysis: Foundations and Methodologies, S.K. Pal and J.F. Peters (eds.), Chapman & Hall / CRC Mathematical and Computational Imaging Sciences Series, pp. 3.1-3.29, 2010. |
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6) |
J. F. Peters and S.K. Pal, "Cantor, fuzzy, near and rough sets in image analysis", in Rough Fuzzy Image Analysis: Foundations and Methodologies, S.K. Pal and J.F. Peters (eds.), Chapman & Hall / CRC Mathematical and Computational Imaging Sciences Series, pp. 1.1-1.15, 2010. |
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7) |
P. Maji and S.K. Pal, "Rough-fuzzy clustering algorithm for segmentation and brain MR images", in Rough Fuzzy Image Analysis: Foundations and Methodologies, S.K. Pal and J.F. Peters (eds.), Chapman & Hall / CRC Mathematical and Computational Imaging Sciences Series, pp. 2.1-2.21, 2010. |
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8) |
P. Kanungo, P. K. Nanda and A. Ghosh, "Parallel genetic algorithm based clustering for object and background classification in machine interpretation of patterns", R. K. De, D. P. Mandal and A. Ghosh (eds.), 2010. |
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9) |
S. Ghosh and S. Mitra, "Incorporating fuzziness to CLARANS" in Pattern Recognition and Machine Intelligence, S. Chaudhury, S. Mitra, C. A. Murthy, P. S. Sastry and S. K. Pal (eds.), LNCS, Berlin : Springer Verlag, Vol. 5909, pp. 122-127, 2009. |
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10) |
S. Patra, S. Ghosh and A. Ghosh, "Unsupervised context-sensitive change detection techniques based on self-organizing feature map neural network" in Advances in Intelligent Information Processing: Tools and Applications, B. Chanda and C. A. Murthy (eds.), World Scientific Press, pp. 105-125, 2008. |
| 11) |
P. Maji and S. K. Pal, "Rough-Fuzzy Hybridization for Protein Sequence Analysis", in Advances in Intelligent Information Processing: Tools and Applications, B. Chanda and C. A. Murthy (eds.), World Scientific Press, 2008. |
| 12) |
S. Dehuri, S. Ghosh and A. Ghosh, "Genetic algorithm for optimization of multiple objectives in knowledge discovery from large databases" in Multi-objective Evolutionary Algorithms for Knowledge Discovery from Databases, A. Ghosh, S. Dehuri and S. Ghosh (eds.), Springer, pp. 1-22, 2008. |
| 13) |
K. Ghosh and S. K. Pal, "Attention in Early Vision: Some Psychophysical Insights", in Attention in Cognitive Systems, L. Paletta and E. Rome (eds.), LNAI, Springer, Berlin, Vol. 4840, 2008. |
| 14) |
R. Das, S. Mitra, H. Banka and S. Mukhopadhyay, "Evolutionary biclustering with correlation for gene interaction networks" in Pattern Recognition and Machine Intelligence, A. Ghosh, R. K. De and S. K. Pal (eds.), LNCS, Berlin: Springer Verlag, Vol. 4815, pp. 416-424, 2007. |
| 15) |
S. Ghosh, S. Patra and A. Ghosh, "Unsupervised change detection in remote-sensing images : a neural approach" in Speech, Audio, Image and Biomedical Signal Processing using Neural Networks, B. Prasad and S. R. Mahadeva Prasanna (eds.), Springer, pp. 239-264, 2007. |
| 16) |
K. Ghosh, S. Sarkar and K. Bhaumik, "The Theory of Edge Detection and Low-level Vision in Retrospect", in Vision Systems: Segmentation and Pattern Recognition, I-TECH Education and Publishing, Vienna, Austria, ISBN 978-3-902613-05-9, 2007. |
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CONFERENCE PAPERS |
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| 1) |
A. Albanese, S. K. Pal and A. Petrosino, " A Rough Set Approach to Spatio-temporal Outlier Detection", in Proc. 9th Int. Conf. on Fuzzy Logic and Applications (WILFI11), Anna Maria Fanelli, Witold Pedrycz and Alfredo Petrosino (eds.), Trani, Italy, LNAI, Springer, 6857, pp. 67-74, 2011. |
| 2) |
R. Pal, J. Mukhopadhyay and P. Mitra, "Image retargeting through constrained growth of important rectangular partitions", in Proc. 4th Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI11), Moscow, Russia, LNCS 6744, Springer Verlag, Berlin, Heidelberg, pp. 104-109, 2011. |
| 3) |
S. Kundu, C. A. Murthy and S. K. Pal, "A new centrality measure for influence maximization in social networks", in Proc. 4th Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI11), Moscow, Russia, LNCS 6744, Springer Verlag, Berlin, Heidelberg, pp. 242-247, 2011. |
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4) |
D. Bhandari, L. Kundu and S. K. Pal, "Optical parameter selection for image watermarking using MOGA", in Proc. 4th Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI11), Moscow, Russia, LNCS 6744, Springer Verlag, Berlin, Heidelberg, pp. 280-285, 2011. |
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5) |
M. K. Kundu and A. Maiti, "Accurate localizations of reference points in a fingerprint image", in Proc. 4th Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI11), Moscow, Russia, LNCS, 6744, Springer Verlag, Berlin, Heidelberg, pp. 293-298, 2011. |
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6) |
A. Mandal, S. Ghosh and A. Ghosh, "Neuro-genetic approach for detecting changes in multitemporal remotely sensed images", in Proc. 4th Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI11), Moscow, Russia, LNCS 6744, Springer Verlag, Berlin, Heidelberg, pp. 318-323, 2011. |
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7) |
A. Ganivada, S. S. Ray and S. K. Pal, "Fuzzy Rough Granular Self-Organizing Map", in Proc. 6th Int. Conf. on Rough Sets and Knowledge Technology (RSKT11), Banff, Canada, LNCS, 6954, pp. 659-668, 2011. |
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8) |
D. Sen and S. K. Pal, "Retinal visual system based contrast measurement in images", in Proc. IEEE Int. Conf. on Communications and Signal Processing, Kozhikode, India, pp. 51-55, 2011. |
|
9) |
D. Sen and S. K. Pal, "Novel automatic exact histogram specification for contrast enhancement in images", in Proc. IEEE Int. Conf. on Communications and Signal Processing, Kozhikode, India, pp. 56-60, 2011. |
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10) |
S. K. Pal, S. K. Meher and S. Dutta, "Pattern classification using class-dependent rough-fuzzy granular space", in Proc. 5th Int. Conf. on Rough Set and Knowledge Technology (RSKT2010), J. Yu et al (eds.), Lecture Notes in Artificial Intelligence, Springer, 6401, Beijing, China, pp. 54-61, 2010. |
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11) |
Y. Li, J. Zhao, N. X. Sun and S. K. Pal, "Generalized distribution reduction in inconsistent decision systems based on dominance relations", in Proc. 5th Int. Conf. on Rough Set and Knowledge Technology (RSKT2010), J. Yu et al (eds.), Lecture Notes in Artificial Intelligence, Springer, 6401, Beijing, China, pp. 151-158, 2010. |
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12) |
A. Ganivada and S. K. Pal, "Robust granular neural networks, fuzzy granules and classification", in Proc. 5th Int. Conf. on Rough Set and Knowledge Technology (RSKT2010), J. Yu et al (eds.), Lecture Notes in Artificial Intelligence, Springer, 6401, Beijing, China, pp. 220-227, 2010. |
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13) |
S. S. Ray, M. Bachhar and S. K. Pal, "RNA secondary structure prediction in soft computing framework: a review", in Proc. 3rd IEEE Int. Conf. on Computer Science and Information Technology (ICCSIT2010), Chengdu, China, vol. 5, pp. 430-435, 2010. |
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14) |
A. Halder, S. Ghosh and A. K. Ghosh, "Ant based semi-supervised classification", in Proc. 7th Int. Conf. on Swarm Intelligence (ANTS 2010), Springer, LNCS, 6234, Brussels, Belgium, pp. 376-383, 2010. |
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15) |
D. Sen and S. K. Pal, "Feature space based image segmentation via density modification", in Proc. IEEE Int. Conf. on Image Processing, Cairo, Egypt, pp. 4017-4020, 2009. |
|
16) |
D. Bhandari, C. A. Murthy and S. K. Pal, "Image enhancement using multi-objective genetic algorithms" in Proc. 3rd. Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI09), S. Choudhury et al (eds.) LNCS 5909, Berlin: Springer Verlag, pp. 309-314, 2009. |
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17) |
N. Ben, S. C. K. Shiu and S. K. Pal, "Mutual neighborhood based discriminant projection for face recognition", in Proc. 3rd Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI'09), S. Chaudhury, S. Mitra, C. A. Murthy, P. S. Sastry and S. K. Pal (eds.), Lecture Notes in Computer Science, Springer, 5909, New Delhi, India, pp. 440-445, 2009. |
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18) |
A. Halder, A. Ghosh and S. Ghosh, "Ant based supervised and unsupervised land use map generation from remotely sensed images", in Proc. World Congress on Nature and Biologically Inspired Computing (NaBIC09), IEEE Computer Society Press, pp. 158-163, 2009. |
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19) |
P. Kanungo, P. K. Nanda and A. Ghosh, "Detection of earth surface cracks using parallel genetic algorithm based thresholding", in Proc. International Conference on Advances in Computing, Control and Telecommunication Technologies (ACT-2009), India, pp. 4-11, 2009. |
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20) |
D. Mazumdar, A. Das and S. K. Pal, "MRF based LSB steganalysis: a new measure of steganography capacity", in Proc. 3rd Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI'09), S. Chaudhury, S. Mitra, C. A. Murthy, P. S. Sastry and S. K. Pal (eds.), Lecture Notes in Computer Science, Springer, 5909, New Delhi, India, pp. 420-425, 2009. |
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21) |
S. Ghosh, B. Loewe and S. Saraf, "Pointer semantics with forward propagation", in Proc. 2nd Artificial General Intelligence (AGI09), B.Goertzel, P.Hitzler and M.Hutter (eds.), Advances in Intelligent Systems Research, Vol. 8, Atlantis Press, Arlington, pp. 37-42, 2009. |
|
22) |
S. Ghosh and F. R. Velazquez-Quesada, "Expressing belief flow in assertion networks", in Proc. 7th Int. Tbilisi Symposium on Language, Logic and Computation (TbiLLC07), Peter Bosch, David Gabelaia and Jerome Lang (eds.), LNAI Springer, 5422, pp. 124-138, 2009. |
|
23) |
S. Saha, C. A. Murthy and S. K. Pal, "Rough set based ensemble prediction for topic specific web crawling", in Proc. Int. Conf. on Advances in Pattern Recognition (ICAPR09), B. Chanda (ed.), Kolkata, India, IEEE Computer Society, pp.153-156, 2009. |
|
24) |
S. Ghosh, N. Mishra and A. Ghosh, "Unsupervised change detection of remotely sensed images using fuzzy clustering", in Proc. 7th Int. Conf. on Advances in Pattern Recognition, (ICAPR09), Kolkata, India, pp. 385-388, 2009. |
|
25) |
M. K. Kundu, M. Banerjee and P. Bagrecha, "Interactive image retrieval in a fuzzy framework", in Proc. Int. Workshop on Fuzzy Logic and Applications (WILF 09), Palermo, Italy, Lecture Notes in Artificial Intelligence, LNAI 5571, pp. 246-253, 2009. |
|
26) |
S. Saha, C. A. Murthy and S. K. Pal, "Rough ensemble classifier: A comparative study", in Proc. of the 8th International Workshop on Fuzzy Logic and Applications (WILF'09), Vito Di Gesu`, S. K. Pal and Alfredo Petrosino (eds.), Palermo, Italy, Lecture Notes in Artificial Intelligence, LNAI 5571, pp. 116-123, 2009. |
|
27) |
S. Saha, C. A. Murthy and S. K. Pal, "Hypertext classification using tensor space model and rough set based ensemble classifier", in Proc. 3rd Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI'09), S. Chaudhury, S. Mitra, C. A. Murthy, P. S. Sastry and S. K. Pal (eds.), LNCS, Springer, 5909, New Delhi, India, pp. 213-218, 2009. |
|
28) |
A. Gorai and A. Ghosh, "Gray-level image enhancement by particle swarm optimization", in Proc. World Congress on Nature and Biologically Inspired Computing (NABIC 2009), pp. 72-77, 2009. |
|
29) |
N. Mishra, S. Ghosh and A. Ghosh, "Fuzzy clustering algorithms incorporating local information for change detection in remotely sensed images", in Proc. 12th Int. Conf. on Information Technology (ICIT09), Bhubaneswar, India, pp. 100-105, 2009. |
|
30) |
B. Barman, S. Mitra and W. Pedrycz, "Shadowed clustering for speech data and medical image segmentation", in Proc. RSCTC 2008, C.-C.Chan et al (eds.), LNCS 5306, pp. 475-484, 2008. |
|
31) |
A. Phadikar, M. K. Kundu and S. P. Maity, "Quantization based data hiding scheme for efficient quality access control of images using DWT via lifting", in Proc. 6th Indian Conf. on Computer Vision, Graphics and Image Processing (ICGVIP08), Bhubaneswar, India, pp. 265-272, 2008. |
|
32) |
A. Phadikar, M. K. Kundu and S. P. Maity, "Quality access control of a compressed gray scale image", in Proc. of National Conf. on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG08), Gandhinagar, India, pp. 13-17, 2008. |
|
33) |
S. Karmakar, K. Ghosh and S. Sarkar, "A generalized design of Mexican hat and other even order Hermitian wavelets in Gaussian scale space", in Proc. Int. Conf. on Signal Processing, Communications and Networking (ICSCN08), Chennai, India, ISBN: 978-1-4244-1924-1, p.154, 2008. |
|
34) |
S. Sarkar, S. Karmakar, K. Ghosh and S. K. Sen, "An alternative Gaussian window approach for FIR filter design", in Proc. Int. Conf. on Signal Processing, Communications and Networking (ICSCN08), Chennai, India, ISBN: 978-1-4244-1924-1, p.159, 2008. |
|
35) |
S. Dehuri, S. B. Cho, and A. Ghosh, "WASP: A multi-agent system for multiple recommendations problem", Fourth Int. Conf. on Next Generation Web Services Practices- (NWeSP08), Seoul, Korea, pp.159-166, 2008. |
|
36) |
S. Saha, C.A. Murthy and S. K. Pal, "Classification of web services using tensor space model and rough ensemble classifier", in Proc. of the 17th Int. Symposium on Methodologies for Intelligent Systems (ISMIS08), Toronto, Canada, pp. 508-513, 2008. |
|
37) |
S. Saha, C. A. Murthy and S. K. Pal, "Tensor space model for hypertext representation", in Proc. 11th Int. Conf. on Information Technology (ICIT08), Bhubaneswar, India, pp. 261-266, 2008. |
|
38) |
A. Halder, S. Ghosh and A. Ghosh, "Aggregation pheromone density based classification", in Proc. 11th Int. Conf. on Information Technology (ICIT08), Bhubaneswar, India, pp. 100-105, 2008. |
|
39) |
S. Mitra and B. Barman, "Rough-fuzzy clustering: an application to medical imagery", In Rough Sets and Knowledge Technology, G. Wang, T. Li, J. W. Grzymala-Busse, D. Miao, A. Skowron and Y. Yao (eds.), LNAI, Berlin: Springer Verlag, 5009, pp. 300-307, 2008. |
|
40) |
S. Ghosh, "Strategies made explicit in dynamic game logic", J. van Benthem and E.Pacuit (eds.), in Proc. Workshop on Logic and Intelligent Interaction, (ESSLLI08), Hamburg, pp. 74-81, 2008. |
|
41) |
P. Maji and S. K. Pal, "Rough-fuzzy relational clustering algorithm for biological sequence mining", in Proc. 3rd Int. Conf. on Rough Sets and Knowledge Technology (RSKT08), China, pp. 292-299, 2008. |
|
42) |
D. Sen and S. K. Pal, "Thresholding for edge detection in SAR images", in Proc. 2nd Int. Conf. on Signal Processing, Communications and Networking, Chennai, India, pp. 366-371, 2008. |
|
43) |
D. Sen and S. K. Pal, "Measuring ambiguities in images using rough and fuzzy set theory", in Proc. 2nd Int. Conf. on Signal Processing, Communications and Networking, Chennai, India, pp. 387-392, 2008. |
|
44) |
P. Maji and S. K. Pal, "Rough sets based hybrid c-means algorithm", in Proc. 3rd Indian Int. Conf. on Artificial Intelligence (IICAI07), India, pp. 1167-1185, 2007. |
|
45) |
R. Das, S. Mitra, H. Banka and S. Mukhopadhyay, "Evolutionary biclustering with correlation for gene interaction networks", in Proc. 2nd Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI07), Kolkata, India, A. Ghosh, R. K. De and S. K. Pal (eds.), LNCS 4815, Berlin: Springer Verlag, pp. 416-424, 2007. |
|
46) |
B. Nath, D. K. Bhattacharyya and A. Ghosh, "Frequency count based filter for dimensionality reduction", in Proc. 15th Int. Conf. on Advanced Computing & Communications (ADCOM07), Guahati, India, pp. 377-381, 2007. |
|
47) |
S. Mitra, H. Banka and J. H. Paik, "Evolutionary fuzzy biclustering of gene expression data ", in Proc. Int. Conf. on Rough Sets and Knowledge Technology, LNAI, Springer Verlag, 4481, pp. 284-291, 2007. |
|
48) |
S. S. Ray, S. Bandyopadhyay and S. K. Pal, "Predicting gene function in yeast through adaptive weighting of multi-source information", in Proc. 8th Int. Conf. on Systems Biology, California, USA, no. H03, p. 63, 2007. |
|
49) |
S. Patra, S. Ghosh and A. Ghosh, "Semi-supervised learning with multilayer perceptron for detecting changes of remote sensing images", in Proc. 2nd Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI'07), Kolkata, India, LNCS 4815, Berlin: Springer Verlag, pp.161-168, 2007. |
|
50) |
K. Ghosh and S. K. Pal, "Figure-ground segregation: Cues from early vision", in Proc. 3rd Indian Int. Conf. on Artificial Intelligence (IICAI07), Pune, India, ISBN 978-0-9727412-2-4, p. 2238, 2007. |
|
51) |
S. Sarkar, K. Ghosh and K. Bhaumik, "Stochastic resonance in the perceptual interpretation of zero crossing maps: A low level center surround model of vision", in Proc. 3rd Indian Int. Conf. on Artificial Intelligence (IICAI07), Pune, India, ISBN 978-0-9727412-2-4, p. 2123, 2007. |
|
52) |
S. Sarkar, K. Ghosh and K. Bhaumik, "A bio-inspired interpolation kernel for medical image processing implemented on DSP processor", in Proc. 15th Int. Conf. on Advanced Computing and Communications (ADCOM07), Guwahati, India, p. 159, 2007. |
|
53) |
S. Mukherjee, A. Chakravorty, K. Ghosh, A. Adhikary, M. Roy and S. Mazumdar, "Corroborating the subjective classification of ultrasound images of normal and fatty human livers by the radiologist through texture analysis and SOM", in Proc. 15th Int. Conf. on Advanced Computing and Communications (ADCOM07), Guwahati, India, p. 197, 2007. |
|
54) |
B. Nath, D. K. Bhattacharyya and A. Ghosh, "Dimensionality reduction using multi-objective genetic algorithms", National Conf. on Trends in Advanced Computing (NCTAC07), Tezpur, India, pp. 155-161, 2007. |
|
55) |
B. Nath, D. K. Bhattacharyya and A. Ghosh, "Mining of association rules using multi-objective genetic algorithms: A partition based approach", in Proc. National Conf. on Trends in Advanced Computing, (NCTAC07), Tezpur, India, pp. 119-124, 2007. |
|
56) |
S. P. Maity, M. K. Kundu and P. K. Nandi, "Genetic algorithms for improvement in detection of hidden data in digital images", in Proc. 6th Int. Conf. on Advances in Pattern Recognition, Kolkata, India, pp. 164-170 , 2007. |
|
57) |
M. Banerjee and M. K. Kundu, "Image retrieval using fuzzy relevance feedback and validation with MPEG-7 content descriptors", in Proc. 2nd Int. Conf. on Pattern recognition and Machine Intelligence(PREMI'07), Kolkata, India, LNCS 4815, Berlin: Springer Verlag, pp. 144-152, 2007. |
|
58) |
P. Maji, B. Chanda, M. K. Kundu and S. Dasgupta, "Deformation correction in brain MRI using mutual information and genetic algorithm", in Proc. Int. Conf. on Computing: Theory and Applications (ICCTA07), Kolkata, India, LNCS 4815, Berlin: Springer Verlag, pp. 372-376, 2007. |
|
59) |
S. S. Ray, S. Bandyopadhyay and S. K. Pal, "New distance measure for microarray gene expressions using linear dynamic range of photo multiplier tube", in Proc. Int. Conf. on Computing: Theory and Applications (ICCTA07), Kolkata, India, LNCS 4815, Berlin: Springer Verlag, pp. 337-341, 2007. |
|
60) |
S. Patra, S. Ghosh and A. Ghosh, "Unsupervised change detection in remote-sensing images using modified self-organizing feature map neural network", in Proc. Int. Conf. on Computing: Theory and Applications (ICCTA07), Kolkata, India, ISBN 0-7695-2770-1, pp. 716-720, 2007. |
|
61) |
M. Kothari, S. Ghosh and A. Ghosh, "Aggregation pheromone density based change detection in remotely sensed images", in Proc. 6th Int. Conf. on Advances in Pattern Recognition (ICAPR07), Kolkata, India, pp. 193-197, 2007. |
|
62) |
S. P. Maity, P. K. Nandi and M. K. Kundu, "Genetic algorithm for improvement in detection of hidden data in digital images", Proceedings of 6th Int. Conf. on Advances in Pattern Recognition (ICAPR07), India, p. 164, 2007. |
|
63) |
M. Filippone, F. Masulli, S. Rovetta, S. Mitra and H. Banka, "Possibilistic approach to biclustering: An application to oligonucleotide microarray data analysis", in Computational Methods in Systems Biology, LNCS 4210, Heidelberg: Springer Verlag, pp. 312-322, 2006. |
|
64) |
S. Mitra, H. Banka and S. K. Pal, "An MOE framework for biclustering microarray data", in Proc. ICPR, vol. 1, pp 1154-1157, 2006. |
| 65) |
S. S. Ray, S. Bandyopadhyay and S. K. Pal, "Gene ordering in partitive clustering using microarray expressions", in Proc. Int. Conf. on Bioinformatics (INCOB06), India, p. 33, 2006. |
| 66) |
S. P. Maity, M. K. Kundu and M. K. Mandal, "Performance improvement in spread spectrum watermarking via M-band wavelets and N-ary modulation", in Proc. IET Int. Conf. on Visual Information Engineering (VIE06), India, 2006. |
| 67) |
P. Kanungo, P. K. Nanda, A. Ghosh and U. C. Samal, "Classification of object and background using parallel genetic algorithm based clustering", in Proc. IEEE first Int. Conf. on Signal and Image processing, Hubli, India, Vol-II, pp. 743-748, 2006. |
| 68) |
P. Maji, M. K. Kundu and B. Chanda, "Segmentation of brain MR images using fuzzy sets and modified co-occurrence matrix", in Proc. IET Int. Conf. on Visual Information Engineering (VIE06), India, pp. 327-332, 2006. |
| 69) |
D. Sen and S. K. Pal, "Image segmentation using global and local fuzzy statistics", in Proc. IEEE INDICON, New Delhi, India, pp. 1-6, 2006. |
| 70) |
M. Kothari, S. Ghosh and A. Ghosh, "Aggregation pheromone density based clustering", S. P. Mohanty and A. Sahoo, (Eds.), in Proc. 9th Int. Conf. on Information Technology (ICIT06), Los Alamitos, California, pp. 259-264, 2006. |
| 71) |
S. Ghosh, M. Kothari and A. Ghosh, "Aggregation pheromone density based image segmentation", in Proc. 5th Indian Conf. on Computer Vision, Graphics and Image Processing (ICVGIP06), P. Kalra and S. Peleg (eds.), LNCS Springer-Verlag Berlin, 4338, pp. 118-127, 2006. |
| 72) |
S. Patra, S. Ghosh and A. Ghosh, "Unsupervised change detection in remote-sensing images using one-dimensional self-organizing feature map neural network", in Proc. 9th Int. Conf. on Information Technology (ICIT06), Bhubaneswar, India, pp. 141-142, 2006. |
| 73 |
S. Dehuri, A. Ghosh and R. Mall, "Particles with age for data clustering", in Proc. 9th Int. Conf. on Information Technology (ICIT06), Bhubaneswar, India, pp. 221-224, 2006. |
| 74) |
A. Biswas, P. Bhowmick and B. B. Bhattacharya, "MUSC: Multigrid shape codes and their applications to image retrieval", in Proc. Int. Conf. on Computational Intelligence and Security, Lecture Notes in Computer Science, vol. 3801, (sub-series LNAI), Springer, Berlin, pp. 1057-1063, 2005. |
| 75) |
P. K. Bhunre, C. A. Murthy, A. Bishnu, B. B. Bhattacharya and M. K. Kundu, "A hybrid data and space partitioning technique for similarity queries on bounded clusters", in Proc. First Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI'05), Lecture Notes in Computer Science, Springer, Berlin, vol. 3776, pp. 544-550, 2005. |
| 76) |
A. Biswas, P. Bhowmick and B. B. Bhattacharya, "Reconstruction of torn documents using contour maps", in Proc. Int. Conf. on Image Processing (ICIP), Genoa, Italy, vol. 3, pp. 517-520, 2005. |
| 77) |
P. Bhowmick and B. B. Bhattacharya, "Approximation of digital circles by regular polygons", in Proc. ICAPR, vol. 1, Lecture Notes in Computer Science, Springer, Berlin, 3686, pp. 257-267, 2005. |
| 78) |
A. Biswas, P. Bhowmick and B. B. Bhattacharya, "TIPS: On finding a tight isothetic polygonal shape covering a 2D object", in Proc. SCIA, Lecture Notes in Computer Science, Springer, Berlin, 3540, pp. 930-939, 2005. |
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