Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 62
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 |
Collection's Items (Sorted by Submit Date in Descending order): 1 to 20 of 62