Computer Science : [62] Collection home page

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Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 62
Issue DateTitleAuthor(s)
2020Understanding phishers’ strategies of mimicking uniform resource locators to leverage phishing attacks: A machine learning approachSamantha Tharani, J.; Arachchilage, N.A.G.
2022The Boost of Deep Learning: Why Now and Not Earlier?Manivannan, S.
2022Shallow Learning Vs Deep LearningRamanan, A.
2022Semi-Supervised Deep Learning Approaches for Classifying Surface DefectsMayuravaani, M.
2022Generative Adversarial Networks: The Most Interesting Idea in the Last Ten Years of Machine LearningManivannan, S.
2022Diabetic Retinopathy Fundus Image Grading Using Deep Learning: Research DirectionsNirthika, R.
2022Towards Building a Modern Written Tamil TreebankParameswari, K.; Sarveswaran, K.
2022A Dual CNN Architecture for Single Image Raindrop and Rain Streak RemovalAnparasy, S.; Kokul, T.
2022Underwater Image Enhancement Using Dual Convolutional Neural Network with Skip ConnectionsSivaanpu, A.; Priyadarshani, R.; Kokul, T.; Ramanan, A.
2022Interpretability and accessibility of machine learning in selected food processing, agriculture and health applicationsRanasinghe, N.; Ramanan, A.; Fernando, S.; Hameed, P.N.; Herath, D.; Malepathirana, T.; Suganthan, P.; Niranjan, M.; Halgamuge, S.
2022Pooling in convolutional neural networks for medical image analysis: a survey and an empirical studyNirthika, R.; Manivannan, S.; Ramanan, A.; Wang, R.
2020An improved landmark-driven and spatial–channel attentive convolutional neural network for fashion clothes classificationShajini, M.; Ramanan, A.
2020A blockchain-based database management systemTharani, J.M.; Tharmakulasingam, M.; Muthukkumarasamy, V.
2017Subcategory classifiers for multiple-instance learning and its application to retinal nerve fiber layer visibility classificationSiyamalan, M.
2018Structure prediction for gland segmentation with hand-crafted and deep convolutional featuresSiyamalan, M.
2020Loss functions for optimizing Kappa as the evaluation measure for classifying diabetic retinopathy and prostate cancer imagesNirthika, R.; Siyamalan, M.; Ramanan, A.
2019Convolutional neural network and feature encoding for predicting the outcome of cricket matchesSiyamalan, M.; Kausik, M.
2018Comparative analysis of different features and encoding methods for rice image classificationNirmalan, V.E.; Nawarathna, R.D.; Siyamalan, M.
2019Biomarker localization by combining CNN Classifier and generative adversarial networkZhang, R.; Shuhan, T.; Ruixuan, W.; Siyamalan, M.; Chen, J.; Lin, H.; Zheng, W.S.
2013-10-04Sequential Input Space Carving for visual codebook designBarathy, Mayurathan
Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 62