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Madhu S. Nair
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2020 – today
- 2024
- [j51]Preethi S. Nair
, Madhu S. Nair
:
KSVM-Based Fast Intra Mode Prediction in HEVC Using Statistical Features and Sparse Autoencoder. IEEE Access 12: 48846-48852 (2024) - [j50]V. A. Anima
, Madhu S. Nair
:
On the Automated Unruptured Intracranial Aneurysm Segmentation From TOF-MRA Using Deep Learning Techniques. IEEE Access 12: 53112-53125 (2024) - [j49]Lijin P.
, Mohib Ullah
, Anuja Vats
, Faouzi Alaya Cheikh
, G. Santhosh Kumar
, Madhu S. Nair
:
Dual Encoder-Decoder Shifted Window-Based Transformer Network for Polyp Segmentation With Self-Learning Approach. IEEE Trans. Artif. Intell. 5(7): 3456-3469 (2024) - [j48]Sheena K. S.
, Madhu S. Nair
:
GenCoder: A Novel Convolutional Neural Network Based Autoencoder for Genomic Sequence Data Compression. IEEE ACM Trans. Comput. Biol. Bioinform. 21(3): 405-415 (2024) - 2023
- [j47]Madhu S. Nair
, Jesna Mohan:
VSMCNN-dynamic summarization of videos using salient features from multi-CNN model. J. Ambient Intell. Humaniz. Comput. 14(10): 14071-14080 (2023) - [j46]Amritha Abdul Salam, Manjunatha Mahadevappa
, Asha Das, Madhu S. Nair:
RDD-Net: retinal disease diagnosis network: a computer-aided diagnosis technique using graph learning and feature descriptors. Vis. Comput. 39(10): 4657-4670 (2023) - [c18]Fayaz Rahman, C. B. Dev Narayan, Mohib Ullah, Muhammad Mudassar Yamin, Øyvind Nordbø, Christopher Coello, Ali Shariq Imran, G. Santhosh Kumar, Madhu S. Nair, Faouzi Alaya Cheikh:
Self-supervised animal detection in constrained environment. BMVC Workshop 2023 - [c17]C. B. Dev Narayan, Fayaz Rahman, Mohib Ullah, Faouzi Alaya Cheikh, Ali Shariq Imran, Christopher Coello, Øyvind Nordbø, G. Santhosh Kumar, Madhu S. Nair:
Tracking-by-Self Detection: A Self-supervised Framework for Multiple Animal Tracking. AIAI (1) 2023: 561-572 - 2022
- [j45]Jishnu Jeevan
, Madhu S. Nair
:
On the performance analysis of solving the Rubik's cube using swarm intelligence algorithms. Appl. Artif. Intell. 36(1) (2022) - [j44]Gayathri J. L.
, Bejoy Abraham
, Sujarani M. S., Madhu S. Nair
:
A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse autoencoder and feed forward neural network. Comput. Biol. Medicine 141: 105134 (2022) - [j43]Priya Mariam Raju
, Madhu S. Nair:
Copy-move forgery detection using binary discriminant features. J. King Saud Univ. Comput. Inf. Sci. 34(2): 165-178 (2022) - [j42]Sithara Kanakaraj
, Madhu S. Nair
, Saidalavi Kalady:
Adaptive Importance Sampling Unscented Kalman Filter With Kernel Regression for SAR Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j41]Govind Jeevan
, Geevar C. Zacharias, Madhu S. Nair, Jeny Rajan:
An empirical study of the impact of masks on face recognition. Pattern Recognit. 122: 108308 (2022) - [j40]Bejoy Abraham
, Madhu S. Nair:
Computer-aided detection of COVID-19 from CT scans using an ensemble of CNNs and KSVM classifier. Signal Image Video Process. 16(3): 587-594 (2022) - [j39]Amritha Abdul Salam, Manjunatha Mahadevappa
, Asha Das, Madhu S. Nair:
DRG-NET: A graph neural network for computer-aided grading of diabetic retinopathy. Signal Image Video Process. 16(7): 1869-1875 (2022) - [j38]Nirmal Sukumaran Nair
, Madhu S. Nair
:
Multi-View Stereo Using Graph Cuts-Based Depth Refinement. IEEE Signal Process. Lett. 29: 1903-1907 (2022) - [j37]Asha Das
, Vinod Kumar Devarampati, Madhu S. Nair
:
NAS-SGAN: A Semi-Supervised Generative Adversarial Network Model for Atypia Scoring of Breast Cancer Histopathological Images. IEEE J. Biomed. Health Informatics 26(5): 2276-2287 (2022) - 2021
- [j36]K. P. Baby Resma, Madhu S. Nair
:
Multilevel thresholding for image segmentation using Krill Herd Optimization algorithm. J. King Saud Univ. Comput. Inf. Sci. 33(5): 528-541 (2021) - [j35]Madhu S. Nair
, Jesna Mohan:
Static video summarization using multi-CNN with sparse autoencoder and random forest classifier. Signal Image Video Process. 15(4): 735-742 (2021) - 2020
- [j34]Asha Das
, Madhu S. Nair, S. David Peter:
Batch Mode Active Learning on the Riemannian Manifold for Automated Scoring of Nuclear Pleomorphism in Breast Cancer. Artif. Intell. Medicine 103: 101805 (2020) - [j33]Asha Das
, Madhu S. Nair, S. David Peter:
Computer-Aided Histopathological Image Analysis Techniques for Automated Nuclear Atypia Scoring of Breast Cancer: a Review. J. Digit. Imaging 33(5): 1091-1121 (2020) - [j32]Santhu Sadasivan, Trivandrum T. Sivakumar, Anna P. Joseph, Geevar C. Zacharias, Madhu S. Nair:
Tongue print identification using deep CNN for forensic analysis. J. Intell. Fuzzy Syst. 38(5): 6415-6422 (2020) - [j31]Nirmal Sukumaran Nair
, Madhu S. Nair:
On evolutionary computation techniques for multi-view triangulation. Mach. Vis. Appl. 31(4): 29 (2020) - [c16]Nirmal Sukumaran Nair
, Madhu S. Nair:
Scalable multi-view stereo using CMA-ES and distance transform-based depth map refinement. ICMV 2020: 116050Q
2010 – 2019
- 2019
- [j30]Jesna Mohan, Madhu S. Nair:
Correction to "Dynamic Summarization of Videos Based on Descriptors in Space-Time Video Volumes and Sparse Autoencoder". IEEE Access 7: 98652 (2019) - [j29]Sithara Kanakaraj
, Madhu S. Nair, Saidalavi Kalady:
Adaptive Importance Sampling Unscented Kalman Filter based SAR image super resolution. Comput. Geosci. 133 (2019) - [j28]Jesna Mohan, Madhu S. Nair:
Domain independent static video summarization using sparse autoencoders and K-means clustering. J. Intell. Fuzzy Syst. 36(3): 1945-1955 (2019) - [j27]Bejoy Abraham
, Madhu S. Nair:
Computer-aided grading of prostate cancer from MRI images using Convolutional Neural Networks. J. Intell. Fuzzy Syst. 36(3): 2015-2024 (2019) - [j26]Preethi S. Nair, K. R. Rao
, Madhu S. Nair:
A machine learning approach for fast mode decision in HEVC intra prediction based on statistical features. J. Intell. Fuzzy Syst. 36(3): 2095-2106 (2019) - [j25]Asha Das
, Madhu S. Nair
, S. David Peter:
Sparse Representation Over Learned Dictionaries on the Riemannian Manifold for Automated Grading of Nuclear Pleomorphism in Breast Cancer. IEEE Trans. Image Process. 28(3): 1248-1260 (2019) - [c15]Madhu S. Nair, Jesna Mohan:
Video Summarization using Convolutional Neural Network and Random Forest Classifier. TENCON 2019: 476-480 - 2018
- [j24]Jesna Mohan, Madhu S. Nair
:
Dynamic Summarization of Videos Based on Descriptors in Space-Time Video Volumes and Sparse Autoencoder. IEEE Access 6: 59768-59778 (2018) - [j23]Bejoy Abraham
, Madhu S. Nair
:
Computer-aided classification of prostate cancer grade groups from MRI images using texture features and stacked sparse autoencoder. Comput. Medical Imaging Graph. 69: 60-68 (2018) - [j22]Trivandrum T. Sivakumar, Shali S. Nair, Geevar C. Zacharias, Madhu S. Nair
, Anna P. Joseph:
Identification of tongue print images for forensic science and biometric authentication. J. Intell. Fuzzy Syst. 34(3): 1421-1426 (2018) - [j21]Sithara Kanakaraj
, Madhu S. Nair
, Saidalavi Kalady
:
SAR Image Super Resolution using Importance Sampling Unscented Kalman Filter. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(2): 562-571 (2018) - 2017
- [j20]Dhanya Bibin, Madhu S. Nair
, P. Punitha:
Malaria Parasite Detection From Peripheral Blood Smear Images Using Deep Belief Networks. IEEE Access 5: 9099-9108 (2017) - [j19]Jithin Gokul, Madhu S. Nair
, Jeny Rajan
:
Guided SAR image despeckling with probabilistic non local weights. Comput. Geosci. 109: 16-24 (2017) - [j18]L. R. Sreedhanya
, Abi Varghese, Madhu S. Nair
, M. Wilscy:
Temperature mapping of a rotary kiln using fuzzy logic. J. Intell. Fuzzy Syst. 32(4): 3059-3067 (2017) - [j17]Geevar C. Zacharias, Madhu S. Nair
, P. Sojan Lal
:
Fingerprint reference point identification based on chain encoded discrete curvature and bending energy. Pattern Anal. Appl. 20(1): 253-267 (2017) - 2016
- [j16]Susmi Jacob, Madhu S. Nair
:
Image reconstruction from random samples using multiscale regression framework. Neurocomputing 189: 95-105 (2016) - [c14]Geevar C. Zacharias, Madhu S. Nair
, P. Sojan Lal
:
Pre- and Post-fingerprint Skeleton Enhancement for Minutiae Extraction. CVIP (1) 2016: 453-465 - [c13]K. Sabeena Beevi, Madhu S. Nair
, G. R. Bindu:
Detection of mitotic nuclei in breast histopathology images using localized ACM and Random Kitchen Sink based classifier. EMBC 2016: 2435-2439 - 2015
- [j15]Jayamol Mathews, Madhu S. Nair
:
Adaptive block truncation coding technique using edge-based quantization approach. Comput. Electr. Eng. 43: 169-179 (2015) - [j14]R. Riji, Jeny Rajan
, Jan Sijbers
, Madhu S. Nair
:
Iterative bilateral filter for Rician noise reduction in MR images. Signal Image Video Process. 9(7): 1543-1548 (2015) - 2014
- [j13]S. Vishnukumar
, Madhu S. Nair
, M. Wilscy:
Edge preserving single image super-resolution with improved visual quality. Signal Process. 105: 283-297 (2014) - [c12]Jayamol Mathews, Madhu S. Nair
, Liza Jo:
A Novel Color Image Coding Technique Using Improved BTC with k-means Quad Clustering. SIRS 2014: 347-357 - 2013
- [j12]Madhu S. Nair
, P. M. Ameera Mol:
Direction based adaptive weighted switching median filter for removing high density impulse noise. Comput. Electr. Eng. 39(2): 663-689 (2013) - [j11]Madhu S. Nair
, Viju Shankar:
Predictive-based adaptive switching median filter for impulse noise removal using neural network-based noise detector. Signal Image Video Process. 7(6): 1041-1070 (2013) - [j10]Christy Jojy, Madhu S. Nair
, Gorthi R. K. Sai Subrahmanyam
, R. Riji:
Discontinuity Adaptive Non-Local Means With Importance Sampling Unscented Kalman Filter for De-Speckling SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(4): 1964-1970 (2013) - [c11]M. Reenu, Dayana David, S. S. Aneesh Raj, Madhu S. Nair
:
Wavelet Based Sharp Features (WASH): An Image Quality Assessment Metric Based on HVS. ADCONS 2013: 79-83 - [c10]Jithin Raj, Madhu S. Nair
:
Forgery Detection in Ballistic Motion Videos Using Motion Estimation and Modelling. MIKE 2013: 328-339 - 2012
- [j9]Madhu S. Nair
, G. Raju
:
A new fuzzy-based decision algorithm for high-density impulse noise removal. Signal Image Video Process. 6(4): 579-595 (2012) - [j8]A. Nasimudeen, Madhu S. Nair
, Rao Tatavarti
:
Directional switching median filter using boundary discriminative noise detection by elimination. Signal Image Video Process. 6(4): 613-624 (2012) - [c9]Jayamol Mathews, Madhu S. Nair
, Liza Jo:
Improved BTC Algorithm for Gray Scale Images Using K-Means Quad Clustering. ICONIP (4) 2012: 9-17 - 2011
- [j7]Madhu S. Nair
, G. Raju
:
Additive noise removal using a novel fuzzy-based filter. Comput. Electr. Eng. 37(5): 644-655 (2011) - [j6]Madhu S. Nair
, Rekha Lakshmanan, M. Wilscy, Rao Tatavarti
:
Satellite image processing for oceanic applications using fuzzy logic. Int. J. Intell. Syst. Technol. Appl. 10(3): 289-301 (2011) - [j5]Sasi Gopalan, C. Sheela, Madhu S. Nair
, Souriar Sebastian:
Fuzzy lattice and function approximation in image processing. Int. J. Intell. Syst. Technol. Appl. 10(4): 342-359 (2011) - [j4]Madhu S. Nair
, Rekha Lakshmanan, M. Wilscy, Rao Tatavarti
:
Fuzzy logic-based automatic contrast enhancement of satellite images of ocean. Signal Image Video Process. 5(1): 69-80 (2011) - [c8]Madhu S. Nair
, P. M. Ameera Mol:
Noise Adaptive Weighted Switching Median Filter for Removing High Density Impulse Noise. ACC (3) 2011: 193-204 - [c7]Madhu S. Nair
, J. Reji:
An Efficient Directional Weighted Median Switching Filter for Impulse Noise Removal in Medical Images. ACC (3) 2011: 276-288 - [c6]Anand T. V., Madhu S. Nair
, Rao Tatavarti
:
Detection of Straight Lines Using Rule Directed Pixel Comparison (RDPC) Method. ADCONS 2011: 125-134
2000 – 2009
- 2009
- [j3]Madhu S. Nair, R. Vrinthavani, M. Wilscy:
HBT Filter and Logarithmic Transform Based Edge Detection - A Modified Approach. Eng. Lett. 17(3): 159-164 (2009) - [c5]Madhu S. Nair
, R. Vrinthavani, M. Wilscy:
A Novel Approach for Edge Detection Using HBT Filter and Logarithmic Transform. ICDIP 2009: 243-246 - 2008
- [j2]Madhu S. Nair, Jaya Vijayan:
Simplified Neural Model for the Software Development Team Optimization. Int. Arab J. Inf. Technol. 5(2): 148-153 (2008) - [c4]M. Wilscy, Madhu S. Nair
:
A New Method for Sharpening Color Images Using Fuzzy Approach. ICIAR 2008: 65-74 - [c3]Madhu S. Nair
, R. Rajasree, Jisha John
, M. Wilscy:
Expectation-Maximization with Distance Measure for Color Image Segmentation. ICIIS 2008: 1-5 - [c2]Madhu S. Nair
, M. Wilscy:
Modified Method for Denoising Color Images using Fuzzy Approach. SNPD 2008: 507-512 - [c1]M. Wilscy, Madhu S. Nair
:
A New Fuzzy-Based Additive Noise Removal Filter. World Congress on Engineering (Selected Papers) 2008: 87-97 - 2006
- [j1]Madhu S. Nair, Jaya Vijayan:
Neural Model for The Optimization Of Software Project Team. Egypt. Comput. Sci. J. 28(2): 25-32 (2006)
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last updated on 2024-08-29 21:00 CEST by the dblp team
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