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2020 – today
- 2023
[j6]Akshita Sharma, Baijnath Kaushik, Akshma Chadha
, Reya Sharma:
Comparative evaluation of deep dense sequential and deep dense transfer learning models for suicidal emotion prediction. Concurr. Comput. Pract. Exp. 35(22) (2023)- [j5]Baijnath Kaushik, Akshma Chadha, Reya Sharma:
Performance Evaluation of Learning Models for the Prognosis of COVID-19. New Gener. Comput. 41(3): 533-551 (2023) - [j4]Baijnath Kaushik, Reya Sharma, Kulwant Dhama, Akshma Chadha, Surbhi Sharma:
Performance evaluation of learning models for intrusion detection system using feature selection. J. Comput. Virol. Hacking Tech. 19(4): 529-548 (2023) - [c1]Baijnath Kaushik, Akshita Sharma, Akshma Chadha, Reya Sharma:
Machine Learning Model for Sentiment Analysis on Mental Health Issues. ICCAE 2023: 21-25 - 2022
- [j3]Akshma Chadha, Baijnath Kaushik:
Performance Evaluation of Learning Models for Identification of Suicidal Thoughts. Comput. J. 65(1): 139-154 (2022) - [j2]Akshma Chadha, Baijnath Kaushik:
A Hybrid Deep Learning Model Using Grid Search and Cross-Validation for Effective Classification and Prediction of Suicidal Ideation from Social Network Data. New Gener. Comput. 40(4): 889-914 (2022) - 2021
- [j1]Akshma Chadha, Baijnath Kaushik:
A Survey on Prediction of Suicidal Ideation Using Machine and Ensemble Learning. Comput. J. 64(11): 1617-1632 (2021)
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