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Sanidhya Vijayvargiya
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2020 – today
- 2023
- [c7]Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni:
Software Engineering Comments Sentiment Analysis Using LSTM with Various Padding Sizes. ENASE 2023: 396-403 - [c6]Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra, Aneesh Krishna, Srinivas Padmanabhuni:
Empirical Analysis for Investigating the Effect of Machine Learning Techniques on Malware Prediction. ENASE 2023: 453-460 - 2022
- [c5]Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, Lalita Bhanu Murthy Neti, Aneesh Krishna:
COVID-19 Article Classification Using Word-Embedding and Extreme Learning Machine with Various Kernels. AINA (3) 2022: 69-81 - [c4]Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra:
Software Requirements Classification using Deep-learning Approach with Various Hidden Layers. FedCSIS 2022: 895-904 - [c3]Sanidhya Vijayvargiya, Lov Kumar, Lalita Bhanu Murthy Neti, Sanjay Misra:
COVID-19 Article Classification Using Word-Embedding and Different Variants of Deep-Learning Approach. ICAI 2022: 15-30 - [c2]Venkata Krishna Chandra Mula, Sanidhya Vijayvargiya, Lov Kumar, Surender Singh Samant, N. L. Bhanu Murthy:
Software Sentiment Analysis Using Machine Learning with Different Word-Embedding. ICCSA (Workshops 5) 2022: 396-410 - [c1]Sanidhya Vijayvargiya, Lov Kumar, Aruna Malapati, N. L. Bhanu Murthy, Sanjay Misra:
Software Functional Requirements Classification Using Ensemble Learning. ICCSA (Workshops 5) 2022: 678-691
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