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Issue Date	Title	Author(s)
2020	Understanding phishers’ strategies of mimicking uniform resource locators to leverage phishing attacks: A machine learning approach	Samantha Tharani, J.; Arachchilage, N.A.G.
2022	The Boost of Deep Learning: Why Now and Not Earlier?	Manivannan, S.
2022	Shallow Learning Vs Deep Learning	Ramanan, A.
2022	Semi-Supervised Deep Learning Approaches for Classifying Surface Defects	Mayuravaani, M.
2022	Generative Adversarial Networks: The Most Interesting Idea in the Last Ten Years of Machine Learning	Manivannan, S.
2022	Diabetic Retinopathy Fundus Image Grading Using Deep Learning: Research Directions	Nirthika, R.
2022	Towards Building a Modern Written Tamil Treebank	Parameswari, K.; Sarveswaran, K.
2022	A Dual CNN Architecture for Single Image Raindrop and Rain Streak Removal	Anparasy, S.; Kokul, T.
2022	Underwater Image Enhancement Using Dual Convolutional Neural Network with Skip Connections	Sivaanpu, A.; Priyadarshani, R.; Kokul, T.; Ramanan, A.
2022	Interpretability and accessibility of machine learning in selected food processing, agriculture and health applications	Ranasinghe, N.; Ramanan, A.; Fernando, S.; Hameed, P.N.; Herath, D.; Malepathirana, T.; Suganthan, P.; Niranjan, M.; Halgamuge, S.
2022	Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study	Nirthika, R.; Manivannan, S.; Ramanan, A.; Wang, R.
2020	An improved landmark-driven and spatial–channel attentive convolutional neural network for fashion clothes classification	Shajini, M.; Ramanan, A.
2020	A blockchain-based database management system	Tharani, J.M.; Tharmakulasingam, M.; Muthukkumarasamy, V.
2017	Subcategory classifiers for multiple-instance learning and its application to retinal nerve fiber layer visibility classification	Siyamalan, M.
2018	Structure prediction for gland segmentation with hand-crafted and deep convolutional features	Siyamalan, M.
2020	Loss functions for optimizing Kappa as the evaluation measure for classifying diabetic retinopathy and prostate cancer images	Nirthika, R.; Siyamalan, M.; Ramanan, A.
2019	Convolutional neural network and feature encoding for predicting the outcome of cricket matches	Siyamalan, M.; Kausik, M.
2018	Comparative analysis of different features and encoding methods for rice image classification	Nirmalan, V.E.; Nawarathna, R.D.; Siyamalan, M.
2019	Biomarker localization by combining CNN Classifier and generative adversarial network	Zhang, R.; Shuhan, T.; Ruixuan, W.; Siyamalan, M.; Chen, J.; Lin, H.; Zheng, W.S.
2013-10-04	Sequential Input Space Carving for visual codebook design	Barathy, Mayurathan