|
| |
 | 22. S. Boral, K. Ghosh,
and A. Ghosh, "Fuzzy Clustering for Streaming Environment with Explainable Parameter Determination." in Explainable, Interpretable, and Transparent AI Systems (1st ed.),
(eds. B. K. Tripathy, H. Seetha), 2024, Chapter 11. CRC Press.
|
| 21. A. Datta, S. Ghosh,
and A. Ghosh, "Hyperspectral Remote Sensing Images and Supervised
Feature Extraction." in Cloud Computing for Geospatial Big Data Analytics,
(eds. H. Das, R. K. Barik, H. Dubey, D. S. Roy), 2019, pp. 265-289.
Springer, Cham. (CI-1) |
| 20. A. Datta, S. Ghosh and A. Ghosh, “PCA, Kernel
PCA and Dimensionality Reduction in Hyperspectral Images” in Advances in
Principal Component Analysis Research and Development, (eds. Ganesh R
Naik), 2017. (CI-4) |
| 19.
B. N. Subudhi, S. Ghosh
and A. Ghosh, “Moving Object Detection using Multi-layer Markov Random Field
Model” in Pattern recognition and big data, (eds. A Pal and S. K.
Pal), 2017, pp. 687-711. (CI-1) |
| 18.
H. Kalia, S. Dehuri, and A.
Ghosh, ``Multi-Objective Genetic and Fuzzy Approaches in Rule Mining
Problem of knowledge" in Global Trends in Intelligent Computing Research
and Development, (eds. B. K. Tripathy and D. P. Acharjya), 2014, pp.
147-179. |
| 17. R. Pal, A. Ghosh, and S. K. Pal, "Video
Summarization and Significance of Content: A Review" in Handbook on Soft
Computing for Video Surveillance, (eds. S. K. Pal, A. Petrosino and L. Maddalena),
2012, pp. 79-102. (CI-4) |
| 16. A. Ghosh and A. Gorai, "Hue-preserving color image
enhancement using particle swarm optimization" in Integration of Swarm
Intelligence and Artificial Neutral Network, (eds. S. B. Cho, S. Dehuri and S.
Ghosh), 2010, pp. 157-178. (CI-1) |
| 15. P. Kanungo, P. K. Nanda and A. Ghosh, "Parallel
genetic algorithm based clustering for object and background classification" in Machine
Interpretation of Patterns, (eds. R. K. De, D. P. Mandal and A. Ghosh), 2010, pp.
69-90. |
| 14. S. Dehuri, C. A. C. Coello, S.-B. Cho and A. Ghosh,
"A discrete swarm for multi-objective problems in polynomial neural network for
classification: data mining perspective" in Swarm Intelligence for
Multi-objective Problems in Data Mining, (eds. C. A. Coello Coello, S. Dehuri and S.
Ghosh), 2009, pp. 115-156. |
| 13. 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, (eds. B. Chanda and C. A. Murthy), World Scientific Press, 2008, pp.
105-125. |
| 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}, (eds. A. Ghosh, S. Dehuri and S. Ghosh), Springer, 2008, pp. 1-22.
(CI-12) |
| 11. 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, (eds. Bhanu
Prasad and S. R. Mahadeva Prasanna), Springer, 2007, pp. 243-268. |
| 10. S. K. Meher, B. Uma Shankar and A. Ghosh,
"Multispectral remote sensing image classification using wavelet based features"
in Soft Computing in Image Processing : Recent Advances, (eds. Mike Nachtegael,
Dietrich Van der Weken and Etienne Kerre), Springer, 2006, pp. 3-34. |
| 9. A. Ghosh, "Evolutionary algorithms for data mining
and knowledge discovery", in Evolutionary Computation in Data Mining,
(eds. A. Ghosh and L. C. Jain), Springer, 2004, pp. 1-20. |
| 8. S. Tsutsui and A. Ghosh, ``Effects of adding
perturbations to phenotypic parameters in genetic algorithms for searching robust
solutions'', in Advances in Evolutionary Computation, (eds. A. Ghosh and S.
Tsutsui), Springer, 2003, pp. 351-365. |
| 7. A. Ghosh and A. Sen, ``Self-organizing neural network for
multi-level image segmentation", in Soft Computing Approach to
Pattern Recognition and Image Processing, (eds. A. Ghosh and S. K. Pal), World
Scientific, Singapore, 2002, pp. 129-144. |
| 6. S. Mitra, A. Ghosh and G. Phukan, ``Protein structure
prediction using soft computing", in Soft Computing Approach to Pattern
Recognition and Image Processing, (eds. A. Ghosh and S. K. Pal), World Scientific,
Singapore, 2002, 307-327. |
| 5. S. K. Pal, A. Ghosh and M. K. Kundu, ``Soft computing and
image processing : features, relevance and hybridization'', in Soft Computing for
Image Processing, (eds. S. K. Pal, A. Ghosh and M. K. Kundu), Physica-Verlag,
Heidelberg, 2000, pp. 1-20. |
| 4. B. Uma Shankar, A. Ghosh and S. K. Pal, ``On fuzzy
thresholding of remotely sensed images'', in Soft Computing for Image Processing,
(eds. S. K. Pal, A. Ghosh and M. K. Kundu), Physica-Verlag, Heidelberg, 2000, pp. 130-161. |
| 3. A. Ghosh and S. K. Pal, ``Biologically inspired new
operations for genetic algorithms'', in Brain-like Computing and Intelligent
Information Systems (eds. N. Kasabov and S. I. Amari), Springer-Verlag, 1997,
pp. 293-311. |
| 2. S. De, A. Ghosh and S. K. Pal, ``Fitness evaluation in
genetic algorithms with ancestors' influence'', in Genetic Algorithm for Pattern
Recognition (eds. S. K. Pal and P. P. Wang), CRC Press, Boca Raton, 1996, pp. 1-23.
|
| 1. S. K. Pal and A. Ghosh, ``Neuro-fuzzy image processing :
relevance and feasibility'', in Neural and Fuzzy Systems : The Emerging Science
of Intelligence and Computing (eds. S. Mitra, W. Kraske and M. M. Gupta), SPIE Press,
New York, 1994, pp. 160-184. |
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