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04/28/2022
Autoencoder based Hybrid Multi-Task Predictor Network for Daily Open-High-Low-Close Prices Prediction of Indian Stocks
Stock prices are highly volatile and sudden changes in trends are often ...
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04/28/2022
Improving the Robustness of Federated Learning for Severely Imbalanced Datasets
With the ever increasing data deluge and the success of deep neural netw...
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09/22/2021
Improved Multi-label Classification with Frequent Label-set Mining and Association
Multi-label (ML) data deals with multiple classes associated with indivi...
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09/10/2021
Unsupervised Change Detection in Hyperspectral Images using Feature Fusion Deep Convolutional Autoencoders
Binary change detection in bi-temporal co-registered hyperspectral image...
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08/20/2021
Combination of Transfer Learning, Recursive Learning and Ensemble Learning for Multi-Day Ahead COVID-19 Cases Prediction in India using Gated Recurrent Unit Networks
The current COVID-19 pandemic has put a huge challenge on the Indian hea...
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07/21/2021
Integration of Autoencoder and Functional Link Artificial Neural Network for Multi-label Classification
Multi-label (ML) classification is an actively researched topic currentl...
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11/12/2018