Siyamalan Manivannan
Orcid: 0000-0002-3371-9471
According to our database1,
Siyamalan Manivannan
authored at least 28 papers
between 2013 and 2024.
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Bibliography
2024
Pseudo-labeling and clustering-based active learning for imbalanced classification of wafer bin map defects.
Signal Image Video Process., April, 2024
Semi-supervised imbalanced classification of wafer bin map defects using a Dual-Head CNN.
Expert Syst. Appl., March, 2024
2023
Collaborative deep semi-supervised learning with knowledge distillation for surface defect classification.
Comput. Ind. Eng., December, 2023
Automatic quality inspection in additive manufacturing using semi-supervised deep learning.
J. Intell. Manuf., 2023
2022
Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study.
Neural Comput. Appl., 2022
An ensemble-based deep semi-supervised learning for the classification of Wafer Bin Maps defect patterns.
Comput. Ind. Eng., 2022
Biomed. Signal Process. Control., 2022
2020
Loss functions for optimizing Kappa as the evaluation measure for classifying diabetic retinopathy and prostate cancer images.
Proceedings of the 15th IEEE International Conference on Industrial and Information Systems, 2020
2019
Biomarker Localization by Combining CNN Classifier and Generative Adversarial Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Convolutional Neural Network and Feature Encoding for Predicting the Outcome of Cricket Matches.
Proceedings of the 14th Conference on Industrial and Information Systems, 2019
2018
Structure Prediction for Gland Segmentation With Hand-Crafted and Deep Convolutional Features.
IEEE Trans. Medical Imaging, 2018
2017
Subcategory Classifiers for Multiple-Instance Learning and Its Application to Retinal Nerve Fiber Layer Visibility Classification.
IEEE Trans. Medical Imaging, 2017
Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017
2016
An automated pattern recognition system for classifying indirect immunofluorescence images of HEp-2 cells and specimens.
Pattern Recognit., 2016
Extended Multi-resolution Local Patterns - A Discriminative Feature Learning Approach for Colonoscopy Image Classification.
Proceedings of the Computer-Assisted and Robotic Endoscopy - Third International Workshop, 2016
Sub-category Classifiers for Multiple-instance Learning and Its Application to Retinal Nerve Fiber Layer Visibility Classification.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
Gland segmentation in colon histology images using hand-crafted features and convolutional neural networks.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016
2015
PhD thesis, 2015
Enhancing Normal-Abnormal Classification Accuracy in Colonoscopy Videos via Temporal Consistency.
Proceedings of the Computer-Assisted and Robotic Endoscopy - Second International Workshop, 2015
Learning discriminative local features from image-level labelled data for colonoscopy image classification.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
2014
Proceedings of the Computer-Assisted and Robotic Endoscopy - First International Workshop, 2014
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014
Proceedings of the 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, 2014
Proceedings of the 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, 2014
2013
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013
Extended Gaussian-Filtered Local Binary Patterns for Colonoscopy Image Classification.
Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013