Predicting anxiety, depression and stress in modern life using machine learning algorithms A Priya, S Garg, NP Tigga Procedia Computer Science 167, 1258-1267, 2020 | 346 | 2020 |
Prediction of type 2 diabetes using machine learning classification methods NP Tigga, S Garg Procedia Computer Science 167, 706-716, 2020 | 327 | 2020 |
Predicting type 2 diabetes using logistic regression NP Tigga, S Garg Proceedings of the Fourth International Conference on Microelectronics …, 2021 | 20 | 2021 |
An overlapping sliding window and combined features based emotion recognition system for EEG signals S Garg, RK Patro, S Behera, NP Tigga, R Pandey Applied Computing and Informatics, 2021 | 17 | 2021 |
Efficacy of novel attention-based gated recurrent units transformer for depression detection using electroencephalogram signals NP Tigga, S Garg Health information science and systems 11, 1, 2022 | 10 | 2022 |
Speech Emotion Recognition for multiclass classification using Hybrid CNN-LSTM NP Tigga, S Garg International Journal of Microsystems and Iot 1, 9-17, 2023 | 2 | 2023 |
Prediction of Global Psychological Stress and Coping Induced by the COVID-19 Outbreak: A Machine Learning Study NP Tigga, S Garg Alpha Psychiatry 23 (4), 193-202, 2022 | 1 | 2022 |
Brain-region specific autism prediction from electroencephalogram signals using graph convolution neural network NP Tigga, S Garg, N Goyal, J Raj, B Das Technology and Health Care, 1-25, 2024 | | 2024 |