Search Results - "Avacharmal, Rajiv"

Leveraging reinforcement learning for advanced financial planning for effective personalization in economic forecasting and savings strategies by Avacharmal, Rajiv, Balakrishnan, Anandaganesh, Ranjan, Piyush, Vandanapu, Manoj Kumar, Mulukuntla, Sarika, Preethi, P.

“…There is rarely a single response that can be considered "right" when it comes to the domain of financial guidance and planning. Traditional algorithms have…”
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Comprehensive investigation on Deep learning models: Applications, Advantages, and Challenges by Avacharmal, Rajiv, Pamulaparthyvenkata, Saigurudatta, Pandiya, Dileep Kumar, Krishna Prakash, R, Ranjan, Piyush, Balakrishnan, Anandaganesh, Maheswaran, S

“…Artificial intelligence (AI) and machine learning (ML) have been completely transformed by deep learning (DL), which provides unmatched power in handling…”
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Utilizing EHR in Machine Learning-Based Systems for Early Heart Disease Prediction in Healthcare Applications by Pamulaparthyvenkata, Saigurudatta, Sharma, Jitendra, Vishwanath, Manish, Avacharmal, Rajiv, Mulukuntla, Sarika, Vahidhabanu, Sathesh, S

“…Machine learning methods have become instrumental in the prediction of heart diseases, offering a potent means of early detection and personalized risk…”
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Mitigating Annotation Burden in Active Learning with Transfer Learning and Iterative Acquisition Functions by Avacharmal, Rajiv, Pamulaparthyvenkata, Saigurudatta, Ranjan, Piyush, Mulukuntla, Sarika, Balakrishnan, Anandaganesh, Preethi, P., Gomathi, R D

“…In situations where there is a lack of readily available annotated data, active learning is a useful tactic. To increase the model's generalization, it entails…”
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Transductive - Long Short-Term Memory Network for the Fake News Detection by Pillai, Sanjaikanth E Vadakkethil Somanathan, Avacharmal, Rajiv, Reddy, R. Archana, Kumar Pareek, Piyush, Zanke, Pankaj

“…Recently, fake news and rumors are distributing majorly and rapidly in all over world. That circumstance causes the production and propagation of incorrect…”
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