|
| |
 | 105. A. Chatterjee, S. Ghosh, and A. Ghosh, "Adaptive attention-guided masking in vision transformers for self-supervised hyperspectral feature learning", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2025, Nashville, TN, USA. (Accepted). |
| 104. A. Chatterjee, S. Ghosh, and A. Ghosh, "Band Selection for Hyperspectral image classification using DBSCAN-informed spectral attention network", IEEE International Conference on Next-Gen Technologies of Artificial Intelligence and Geoscience Remote Sensing (EarthSense), 2025, (Accepted). |
| 103. A. Chatterjee, S. Ghosh, and A. Ghosh, "Geometric-Harmonic Mean based Late Fusion Ensemble for Improved Weather Image Classification", Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025, Brisbane, Australia. (Accepted). |
| 102. A. Chatterjee, S. Ghosh, and A. Ghosh "Hyperspectral Image Classification using Patch-based Attention and Restricted Isometric Regularization", Proceedings of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2025, Brisbane, Australia. (Accepted). |
| 101. A. Chatterjee, S. Ghosh, and A. Ghosh "Cross-Instance Contrastive Masking in Vision Transformers for Self-Supervised Hyperspectral Image Classification", In International Conference on Learning Representations (ICLR) SCSL Workshop, 2025, Singapore, . |
| 100. A. Chatterjee, S. Ghosh, and A. Ghosh "GlowNet: A Lightweight Attentionbased Self-Guided Deep Neural Network for Low-Light Image Enhancement", In British Machine Vision Conference (BMVC) DIFAWorkshop, 2024, Glasgow, UK . |
| 99. A. Chatterjee, S. Ghosh, and A. Ghosh "Stochastic Variations for Latent Data Representation (SVLDR): A Probabilistic Generative Modeling Framework", In Proceedings of the IEEE International Conference on Computer Vision and Machine Intelligence (CVMI) 2024, India, pp. 1-6. |
| 98. A. Dey, S. Ghosh, and A. Ghosh "Unsupervised Band Selection for Hyperspectral Image Classification Using Mutual Information Based Clustering", IEEE India Geoscience and Remote Sensing Symposium (InGARSS) 2024 Goa, December 2024, (Accepted). |
| 97. N. Jain, S. Ghosh, and A. Ghosh "A Novel Feature Selection Method for Regression and its Application for Prediction of Forest Fire", IEEE India Geoscience and Remote Sensing Symposium (InGARSS) 2024 Goa, December 2024, (Accepted). |
| 96. A. Chatterjee, S. Ghosh, A. Ghosh and N. Jain "Active Learning using Divergence-based Sampling in Ensemble Framework of Convolutional Neural Networks", In Proceedings of the International Conference on Advanced Communications and Machine Intelligence (MICA 2024), Springer. (Best Paper Award). |
| 95. D. Chattoraj, A. Chatterjee, S. Ghosh, A. Ghosh, and E. J. Lentilucci, "Enhanced Multi-Class Weather Image Classification Using Data Augmentation and Dynamic Learning on Pre-Trained Deep Neural Net", 2024 International Conference on Emerging Techniques in Computational Intelligence (ICETCI),Hyderabad, India, 2024, pp. 459-464. |
| 94. A Chatterjee, S Ghosh, A. Ghosh, E. J. Lentilucci, "URBANSCAPE-NET: A SPATIAL AND SELF-ATTENTION GUIDED DEEP NEURAL NETWORK WITH MULTI SCALE FEATURE EXTRACTION FOR URBAN LAND-USE CLASSIFICATION", 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2024), 2024, pp. -, 2024. |
| 93. S Ghosh, A Chatterjee, A. Ghosh, "Modeling Uncertainty by Integrating Label Smoothing and Data Perturbation: An Application to Pneumonia Detection", 1st International Conference on Machine Intelligence, Tools and Applications (ICMITA) 2024, pp. -, 2024. |
| 92. S Boral, S Poddar, A. Ghosh, "Anomaly Detection in Streaming Environment
by Evolving Neural Network with Interim Decision", 2023 IEEE Region 10 Symposium (TENSYMP), Canberra, Australia, 2023, pp. 1 - 6, 2023. |
| 91. AK Behera, S Dehuri, A. Ghosh, "Surrogate-Assisted Multi-objective
Genetic Fuzzy Associative Classification by Multiple Granularity Measures", 2023 International Conference for Advancement in Technology (ICONAT), pp. 1 - 9, 2023. |
| 90. R Roy, S Ghosh, A. Ghosh, L Wang and JH Chan, "Semantic Segmentation
of Cardiac Structures from USG Images Using Few-Shot Prototype Learner Guided Deep Networks", Ambient Intelligence in Health Care: Proceedings of ICAIHC 2022, pp. 251 - 260, 2022. |
| 89. D. Chakraborty, S Ghosh, A. Ghosh, EJ Ientilucci, "Change Detection
in Hyperspectral Images Using Deep Feature Extraction and Active Learning", International Conference on Neural Information Processing, pp. 212 - 223, 2022. |
| 88. A. Law, R. Ray and
A. Ghosh, "Autoencoder and extreme learning machine based deep
multi-label classifier", 9th International Conference on Pattern
Recognition and Machine Intelligence (PReMI 21), 2021. (accepted) |
| 87. S. Boral, S. Dhar
and A. Ghosh, "Unsupervised Segmentation of Non-Intersecting
Manifolds", 12th International Conference on Advances in Information
Technology (IAIT2021), vol. 23, pp. 1 - 9, 2021. |
| 86. D. Chakraborty, D.
Goswami, A. Ghosh, J. Chan and S. Ghosh, "Learning from Others: A
Data Driven Transfer Learning based Daily New COVID-19 Case Prediction in
India using an Ensemble of LSTM-RNNs", 12th International Conference on
Advances in Information Technology (IAIT2021), vol. 22, pp. 1 - 8, 2021. |
| 85. A. Dey, S. Ghosh
and A. Ghosh, "Band Elimination for Dimensionality Reduction of
Hyperspectral Images using Mutual Information", 2020 IEEE International
Geoscience and Remote Sensing Symposium (IGARSS 2020), India, pp. 2055 -
2058, 2020. |
| 84.
A. K. Jayaraman, S. Abirami,
T. E. Trueman and A. Ghosh, ''A C-LSTM with
Attention Mechanism for Question Categorization''', Symposium on Machine
Learning and Metaheuristics Algorithms, and Applications (SoMMA'19),
Trivandrum, India, pp. 234 - 244, 2019. (CI-2) |
| 83. D. Chakraborty, D.
Garg, A. Ghosh and J. H. Chan, "Trigger detection system for American
sign language using deep convolutional neural networks ",
Proceedings of the 10th International Conference on Advances in
Information Technology (IAIT2018), Bangkok, 2018.
(CI-1) |
| 82. R. Roy, S. Ghosh
and A. Ghosh, "Salient Object Detection based
on Bayesian Surprise of Restricted Boltzmann Machine", Proceedings of the
eleventh Indian Conference on Computer Vision, Graphics and Image Processing
(ICVGIP '18), Hyderabad, 2018. (accepted) |
| 81.
L. Sahni,
D. Chakraborty and A. Ghosh, "Implementation of Boolean AND and OR
Logic Gates with Biologically Reasonable Time Constants in Spiking Neural
Networks", Thirty-Second AAAI Conference on
Artificial Intelligence (AAAI-18), 2018. (accepted) |
| 80.
A. Law, K.
Chakraborty, A. Ghosh, Functional link artificial neural network for
multi-label classification , Proceedings of the Fifth International
Conference on Mining Intelligence and Knowledge Exploration (MIKE '17),
India, pp.1-10, 2017. (CI-2) |
| 79. R. Roy, S. Ghosh, S.B. Cho, A. Ghosh, Despeckling with structure
preservation in clinical ultrasound images using historical edge information
weighted regularizer , Proceedings of the Fifth International Conference on
Mining Intelligence and Knowledge Exploration (MIKE '17), India, pp.144-155,
2017 |
| 78. A. Mondal, A. Ghosh and
S. Ghosh, "Neural approach for object tracking in complex environment",
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC),
Hungary, pp. 1-6, 2016. (CI-1) |
| 77. A. Mondal, A. Ghosh, and S. Ghosh.
"Prototypes based discriminative
appearance model for object tracking , Proceedings of the Tenth Indian
Conference on Computer Vision, Graphics and Image Processing (ICVGIP '16),
India, pp. 18-22, 2016. (CI-1) |
| 76. K. R. Murthy, A. Mondal and A. Ghosh, Maximum class boundary
criterion for supervised dimensionality reduction , International Joint
Conference on Neural Networks (IJCNN), Vancouver, pp. 4191-4198, 2016. |
| 75. A. Mondal, K. R. Murthy, A. Ghosh and S. Ghosh, Robust image
segmentation using global and local fuzzy energy based active contour , IEEE
International Conference on Fuzzy Systems (FUZZ-IEEE), Vancouver, pp.
1341-1348, 2016. (CI-1) |
| 74. R. Roy and A.
Ghosh, "Rule induction based object tracking", International
Conference on Advances in Computing, Communications and Informatics
(ICACCI-2014), India pp. 1871-1875, 2014. (CI-1) |
| 73. A. Datta, S. Ghosh
and A. Ghosh, " Maximum Margin Criterion based Band Extraction of
Hyperspectral Imagery", Proceedings of Fourth International Conference on
Emerging Applications of Information Technology (EAIT-2014), India, pp.
300-304, 2014. (CI-3) |
| 72. A. Mondal, B. N. Subudhi, M. Roy, S. Ghosh,
and A. Ghosh, "A study on non-linear
classifier based moving
object tracking", International Conference on Intelligent Computing, Communication & Devices
(ICCD-2014), pp., 2014. |
| 71. B. N. Subudhi, I. Patwa, A.
Ghosh and S. B. Cho, "Edge preserving region growing for aerial color
image segmentation", International Conference on Intelligent
Computing, Communication & Devices (ICCD-2014), India, pp., 2014.
(CI-14) |
| 70. B. N.
Subudhi, S. Ghosh, and A. Ghosh,
"Spatial constraint
Hopfield-type neural networks for detecting changes
in remotely sensed multitemporal images", International
Conference on Image Processing (ICIP-2013),
Australia, pp. 3815-3819, 2013. |
| 69. P.
Mahanta, D. K. Bhattacharyya, and A. Ghosh, "A subspace module
extraction technique for gene expression data", 5th
International Conference on Pattern Recognition and Machine Intelligence,
Kolkata, India,
pp. 635-640, 2013.
(CI-2) |
| 68. B. N.
Subudhi, S. Ghosh, and A. Ghosh,
"Moving object
detection using Gaussian background
model and Wronskian framework",
Second International Conference on Advances in Computing,
Communications and Informatics (ICACCI-2013),
India, pp. 1775-1780, 2013.
(CI-6) |
| 67.
A.
Mondal, S. Ghosh, and A. Ghosh,
"Efficient silhouette based
contour tracking",
Second International Conference on Advances in Computing,
Communications and Informatics (ICACCI-2013),
India, pp. 1781-1786, 2013. (CI-4) |
| 66. A. Datta, S. Ghosh, and
A. Ghosh, "
Band elimination of hyperspectral
imagery using correlation of
partitioned band
images", Second International Conference on
Advances in Computing, Communications and Informatics (ICACCI-2013),
India, pp. 412-417, 2013. (CI-3) |
| 65. K. R. Murthy and A.
Ghosh, "Enhanced eigenspace separation transform for classification",
Indian Conference on Vision Graphics and Image Processing, India, pp. ,
2012. (CI-1) |
| 64. A. Datta, S. Ghosh and A.
Ghosh, "Clustering based band selection for hyperspectral images",
International Conference on Communications, Devices and Intelligent Systems
(CODIS), India, pp. 101-104, 2012. (CI-7) |
| 63. B. N. Subudhi, S. Ghosh and A. Ghosh, "Object and shadow separation using fuzzy Markov random field
and local gray level co-occurrence matrix based textural features", 12th
International Conference on Intelligent Systems Design and Applications (ISDA
2012), India, pp. , 2012. (CI-4) |
| 62. M. Roy, S. Ghosh, and A.
Ghosh, "Search-based semi-supervised clustering algorithms for change
detection in remotely sensed images", IEEE INDICON 2012, India, pp.
503-507,
2012. (CI-4) |
| 61. M. Roy, S. Ghosh, and A.
Ghosh, "A semi-supervised change detection for remotely sensed images
using ensemble classifier", Intelligent Human Computer Interaction (IHCI
2012), India, pp. 545-549, 2012. (CI-2) |
| 60. H. Kalia, S. Dehuri, and A.
Ghosh, "Scalable fuzzy genetic classifier based on fitness
approximation", Swarm, Evolutionary and Memetic Computing Conference (SEMCCO
2012), India, pp. , 2012. |
| 59.
N. S. Mishra, S. Ghosh,
A. Ghosh, ``Combination
of fuzzy clustering
algorithms for change
detection in remote
sensing images",
Third International Conference on Emerging Applications of Information
Technology, Kolkata, India, pp.
, 2012. (CI-1) |
| 58. K. R. C. Murthy and A. Ghosh, "An
efficient illumination
invariant face recognition
technique using two
dimensional linear
discriminant analysis",
1st International Conference on Recent Advances on
information Technology, Dhanbad, India, pp., 2012. |
| 57. M. Roy, S. Das, S. Ghosh and A. Ghosh,
"Semi-supervised Hopfield-type neural
network for change
detection in remotely
sensed images", 1st International Conference on Recent Advances on information
Technology, Dhanbad, India, pp. 379-384, 2012.
(CI-3) |
| 56. N. S. Mishra, S. Ghosh, A. Ghosh, ``Semi-supervised
fuzzy clustering
algorithms for change
detection in remote
sensing images", 1st Indo-Japan
Conference on Perception and Machine intelligence (PerMIn), Kolkata, India, pp.
269-276, 2012. (pdf)
(CI-2) |
| 55. A. Dutta, S. Ghosh and A. Ghosh, "Wrapper based
feature selection in
hyperspectral image
data using self-adaptive
differential evolution",
International Conference on Image Information Processing, Shimla, India, pp..,
2011. |
| 54. A. Mondal, S. Ghosh and A. Ghosh, "Distributed
differential evolution
algorithm for MAP estimation of MRF model for
detecting moving
objects", International Conference on Image Information Processing, Shimla,
India, pp. 1-6, 2011. (CI-1) |
| 53. A. Gorai and A. Ghosh, "Hue-preserving color image
enhancement using particle swarm optimization ", IEEE International Conference on
Recent Advances in Intelligent Computational Systems 2011, Trivandrum, India, pp. 563-568,
2011. (pdf) (CI-52) |
| 52. T. Nakashima and A. Ghosh, "Classification
confidence of fuzzy
rule-based classifiers", European Conference on Modelling and
Simulation, Krakow, Poland, pp., 2011. (CI-1) |
| 51. B. N. Subudhi and A. Ghosh, ''Moving
objects detection
from video sequences using
fuzzy edge incorporated Markov
random field modeling and
local histogram
matching ", 4th International Conference on Pattern Recognition and
Machine Intelligence, Moscow, Russia, pp. 173-179, 2011. (pdf)
(CI-1) |
| 50. A. Mandal, S. Ghosh and A. Ghosh, ''Neuro-genetic
approach for detecting
changes in multitemporal
remotely sensed
images ", 4th
International Conference on Pattern Recognition and Machine Intelligence, Moscow, Russia,
pp. 318-323, 2011. (pdf) |
| 49. P. Kanungo, P. K. Nanda and A. Ghosh, "Parallel
genetic algorithm based adaptive thresholding for image segmentation under uneven lighting
conditions", IEEE International Conference on Systems, Man, and
Cybernetics, SMC2010, Istanbul, Turkey, pp. 1904-1911, 2010. (pdf)
(CI-15) |
| 48. A. Halder, S. Ghosh and A. Ghosh, "Ant based
semi-supervised classification", Seventh International Conference on Swarm
Intelligence, ANTS 2010, Brussels, Belgium, Springer, LNCS, Volume 6234/2010, pp.
376-383, 2010. (pdf)
(CI-10) |
| 47. B. N. Subudhi, P. K. Nanda and A. Ghosh, "Moving
object detection using MRF model and entropy based adaptive thresholding", Second
International Conference on Intelligent Human Computer Interaction, Allahabad, India,
pp. 155-161, 2010. (pdf)
(CI-3) |
| 46. N. S. Mishra, S. Ghosh and A. Ghosh, "Fuzzy
clustering algorithms incorporating local information for change detection in remotely
sensed images", 12th International Conference on Information Technology,
ICIT-2009, Bhubaneswar, India, pp. 100-105, 2009. (pdf) |
| 45. P. Kanungo, P. K. Nanda and A. Ghosh, "Detection of
earth surface cracks using parallel genetic
algorithm based thresholding", International
Conference on Advances in Computing, Control, and Telecommunication Technologies - ACT
2009, India, pp. 4-11, 2009. (pdf)
(CI-3) |
| 44. A. Gorai and A. Ghosh, "Gray-level
image
enhancement by particle
swarm optimization", World Congress on Nature and
Biologically Inspired Computing, Coimbatore, India, pp. 72-77, 2009. (pdf)
(CI-118) |
| 43. A. Halder, S. Ghosh and A. Ghosh, `"Ant based
supervised and unsupervised land use map generation from remotely sensed images", World
Congress on Nature and Biologically Inspired Computing, Coimbatore, India, pp.
158-163, 2009. (pdf)
(CI-4) |
| 42. S. Ghosh, N. Mishra and A. Ghosh, "Unsupervised
change detection of
remotely sensed
images using fuzzy
clustering", 7th
International Conference on Advances in Pattern Recognition, ICAPR 2009, Kolkata,
India, pp. 385-388, 2009. (pdf)
(CI-26) |
| 41. A. Halder, S. Ghosh and A. Ghosh, "Aggregation
pheromone density based
classification", 11th International
Conference on Information Technology, ICIT-2008, Bhubaneswar, India, pp. 100-105,
2008. (pdf)
(CI-3) |
| 40. S. Dehuri, S. B. Cho and A. Ghosh, "Wasp: A
multi-agent system for
multiple recommendations
problem", Fourth International
Conference on Next Generation Web Services Practices- NWeSP, Seoul, Korea, pp.
159-166, 2008. (pdf) |
| 39. B. Nath, D. K. Bhattacharyya and A. Ghosh,
"Frequency count based filter for dimensionality reduction", Fifteenth
International Conference on Advanced Computing & Communications- ADCOM 2007, pp.
377-381, 2007, India (pdf)
(CI-1) |
| 38. S. Patra, S. Ghosh and A. Ghosh, "Semi-supervised
learning with multilayer
perceptron for detecting
changes of remote
sensing images", Second
International Conference on Pattern Recognition and Machine Intelligence, PReMI07,
LNCS-4815, pp. 161-168, 2007, India. (pdf) |
| 37. B. Nath, D. K. Bhattacharyya and A. Ghosh,
"Dimensionality reduction using multi-objective genetic algorithms", National
Conference on Trends in Advanced Computing, NCTAC 2007, pp. 155-161, 2007, India. |
| 36. B. Nath, D. K. Bhattacharyya and A. Ghosh, "Mining
of association rules using multi-objective genetic algorithms: a partition based
approach", National Conference on Trends in Advanced Computing, NCTAC 2007,
pp. 119-124, 2007, India. |
| 35. S. Patra, S. Ghosh and A. Ghosh, "Unsupervised
change detection in
remotely sensed
images using modified
self-organizing feature
map neural network", International Conference on Computing : Theory and Advances, ICCTA
2007, pp. 711-715, 2007, India. (pdf)
(CI-20) |
| 34. B. Uma Shankar, S. K. Meher and A. Ghosh, "Neuro-wavelet
classifier for remote
sensing image
classification", International Conference
on Computing : Theory and Applications, ICCATA 2007, pp. 716-720, 2007, India.
(pdf) |
| 33. M. Kothari, S. Ghosh and A. Ghosh, "Aggregation
pheromone density based
change detection in
remotely sensed
images", 6th
International Conference on Advances in Pattern Recognition, ICAPR 2007, pp. 193-197,
2007, India. (pdf) |
| 32. S. K. Meher, B. Uma Shankar and A. Ghosh, "Remote
sensing image
classification: A wavelet-neuro-fuzzy
approach", 6th International
Conference on Advances in Pattern Recognition, ICAPR 2007, pp. 231-236, 2007,
India. |
| 31. P. Kanungo, P. K. Nanda, A.Ghosh and U. C. Samal,
"Classification of objects and background using
parallel genetic
algorithm based
clustering", IEEE International Conference on Signal and Image Processing,
IEEE-ICSIP 2006, pp. 743-748, 2006, India. |
| 30. S. Dehuri, A. Ghosh and R. Mall, "Particles with
age for data clustering", 9th International Conference on Information Technology,
ICIT-2006, pp. 221-224, 2006, India. (pdf) |
| 29. S. K. Meher, A. Ghosh and B. Uma Shankar and L.
Bruzzone, "Neuro-fuzzy fusion:A
new approach to
multiple classifier
system", 9th International Conference on Information Technology, ICIT-2006,
pp. 209-212, 2006, India. (pdf) |
| 28. M. Kothari, S. Ghosh and A. Ghosh, "Aggregation
pheromone density
based clustering", 9th International Conference on Information
Technology, ICIT-2006, pp. 259-264, 2006, India. (pdf) |
| 27. S. Patra, S. Ghosh and A. Ghosh, "Unsupervised
change detection in
remote-sensing
images using one-dimensional self-organizing
feature map neural
network", 9th International Conference on Information Technology,
ICIT-2006, pp. 141-142, 2006, India. (pdf) |
| 26. B. Uma Shankar, S. K. Meher, A. Ghosh and L. Bruzzone,
"Remote sensing image
classification: A neuro-fuzzy MCS
approach", 5th
Indian Conference on Computer Vision, Graphics and Image Processing, ICVGIP 2006,
LNCS-4338, pp. 128-139, 2006, India. (pdf) |
| 25. S. Ghosh, M. Kothari and A. Ghosh, "Aggregation
pheromone density based
image segmentation", 5th Indian Conference on
Computer Vision, Graphics and Image Processing, ICVGIP 2006, LNCS-4338, pp.
118-127, 2006, India. (pdf) |
| 24. S. Dehuri, A. Ghosh and R. Mall, "Partition
based data clustering
using parallel
genetic algorithm", International Conference on
Systemics, Cybernetics and Informatics, ICSCI-2006, pp. 688-694, 2006, India.
|
| 23. S. Dehuri, A. Ghosh and R. Mall, "Parallel
multi-objective
genetic algorithm for
classification rule
mining", Thirteenth
International Conference on Advanced Computing & Communications- ADCOM 2005, pp.,
2005, India. |
| 22. S. Tsutsui, M. Pelikan and A. Ghosh, "Effect of
local search on
edge histogram
based sampling algorithms for
permutation problems", Sixth Metaheuristics International Conference, pp.
865-872, 2005, Austria. (pdf) |
| 21. S. Tsutsui, M. Pelikan and A. Ghosh, "Performance
of aggregation pheromone
system on unimodal and
multimodal problems", IEEE
Congress on Evolutionary Computation, pp. 880-887, 2005, UK. (pdf) |
| 20.
S. Tsutsui and A. Ghosh, "An
extension of ant colony optimization for function optimization", Proceedings of
the 5th Asia Pacific Conference on Simulated Evolution and Learning SEAL04, Pusan,
Korea, 2004 |
| 19. A. Ghosh and A. Sen, "Genetic Algorithms for
fuzzy thresholding", Proceedings International Conference on Communication, Devices and
Intelligent Systems (CODIS-04), pp. 616-619, 2004, India. |
| 18. S. Ghosh (nee De) and
A. Ghosh, ``A
GA-FUZZY approach to evolve Hopfield type
optimum networks for
object
extraction'',
Proc. International Conference on Fuzzy Systems,
AFSS 2002, pp. 444-449, 2002, India.
(pdf) |
| 17. A. Ghosh, S. Tsutsui and H. Tanaka ``Function
optimization in nonstationary environment using steady state genetic algorithms with
aging of individuals", Proc. International Conference. on Evolutionary
Algorithms (ICEC98), pp. 666-671, 1998, USA. (pdf) |
| 16. S. Tsutsui, A. Ghosh, Y. Fujimoto and D. Corne, ``A
study on the effect of multi-parent recombination in real coded genetic
algorithms", Proc. International Conference. on Evolutionary Algorithms
(ICEC98), pp. 828-833, 1998, USA. (pdf)
(CI-75) |
| 15. S. Tsutsui, A. Ghosh, Y. Fujimoto and D. Corne, ``A real
coded genetic algorithm with an explorer and an exploiter populations'', Proc.
7th International Conference. on Genetic Algorithms (ICGA'97), pp. 238-245, 1997,
USA. (pdf) |
| 14. A. Ghosh, S. Tsutsui, H. Tanaka and D. Corne,
``Substitution and re-entry of individuals in genetic algorithms'', Proc.
International Joint Conference on Information Sciences, Vol. 1, pp. 43-46, March,
1997, USA. |
| 13. S. Tsutsui, A. Ghosh, Y. Fujimoto and D. Corne, ``A
bi-population scheme for real-coded GAs : the basic concept'', Proc.
International Joint Conference on Information Sciences, Vol. 1, pp. 39-42, March,
1997, USA. (pdf) |
| 12. S. Tsutsui and A. Ghosh, ``On convergence measure for
order based forking genetic algorithms'', Proc. Fourth Australian & New
Zealand Conference on Intelligent Information Systems, pp. 280-283, November,
1996, Australia. (pdf) |
| 11. A. Ghosh, S. Tsutsui and H. Tanaka, ``Individual aging
in genetic algorithms'', Proc. Fourth Australian & New Zealand Conference
on Intelligent Information Systems, pp. 276-279, November, 1996, Australia. (pdf)
(CI-32) |
| 10. S. Tsutsui, A. Ghosh and Y. Fujimoto, ``A robust
solution searching scheme in genetic search'', Proc. Parallel Problem Solving From
Nature, pp. 543-552, September, 1996, Germany. (pdf) |
| 9. A. Ghosh, ``A note on making neural network based
learning systems robust'', Proc. Fourth European Congress on Intelligent
Techniques and Soft Computing, Vol. 2, pp. 729-733, September, 1996, Germany. |
| 8. S. Tsutsui, A. Ghosh and M. Takiguchi, ``Phenotypic
forking GA with moving windows'', Proc. International Conference on Neural
Information Processing, pp. 1335-1340, September, 1996, Hong Kong. (pdf) |
| 7. S. De, A. Ghosh and S. K. Pal ``An application of genetic
algorithms to evolve Hopfield type optimum network architectures for object extraction'', Proc.
International Conference on Evolutionary Computing, pp. 504-508, November, 1995,
Perth, Australia. (pdf) |
| 6. A. Ghosh and S. K. Pal ``Neuro-fuzzy computing for
pattern recognition : recent trends'', Proc. First Asian Fuzzy Systems Symposium,
pp. 416-421, November, 1993, Singapore. |
| 5. A. Ghosh, N. R. Pal and S. K. Pal ``Object extraction
using a self-organizing neural network'', Proc. of the International Symposium on
Intelligent Robotics (ISIR), pp. 686-697, January, 1991, Bangalore, India. |
| 4. A. Ghosh, N. R. Pal and S. K. Pal ``Neural network, Gibbs
distribution and object extraction'', Proc. of the International Symposium on
Intelligent Robotics (ISIR), pp. 95-106, January, 1991, Bangalore, India. |
| 3. A. Ghosh and S. K. Pal ``Self-organisation of neural
network and object extraction'', Proc. of the Workshop on Signal Processing,
Communications and Networking, pp. 241-246, July, 1990, Bangalore, India. |
| 2. A. Ghosh and S. K. Pal ``Feature ranking using fuzzy
correlation'', Proc. of the International Conference on Fuzzy Logic and Neural
Networks, pp. 561-564, July, 1990, Iizuka, Japan. |
| 1. S. K. Pal and A. Ghosh ``Fuzzy geometry and image
processing'', Proc. of the National
Conference on Electronic Circuits and Systems (NACONECS), pp. 97-99, November, 1989,
Roorkee, India. |
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