| Stock price prediction using LSTM, RNN and CNN-sliding window model S Selvin, R Vinayakumar, EA Gopalakrishnan, VK Menon, KP Soman 2017 international conference on advances in computing, communications and …, 2017 | 1048 | 2017 |
| NSE stock market prediction using deep-learning models M Hiransha, EA Gopalakrishnan, VK Menon, KP Soman Procedia computer science 132, 1351-1362, 2018 | 593 | 2018 |
| Detecting deterministic nature of pressure measurements from a turbulent combustor J Tony, EA Gopalakrishnan, E Sreelekha, RI Sujith Physical Review E 92 (6), 062902, 2015 | 92 | 2015 |
| Early warning signals for critical transitions in a thermoacoustic system EA Gopalakrishnan, Y Sharma, T John, PS Dutta, RI Sujith Scientific reports 6 (1), 35310, 2016 | 89 | 2016 |
| Instantaneous heart rate as a robust feature for sleep apnea severity detection using deep learning RK Pathinarupothi, R Vinaykumar, E Rangan, E Gopalakrishnan, ... 2017 IEEE EMBS international conference on biomedical & health informatics …, 2017 | 80 | 2017 |
| Single sensor techniques for sleep apnea diagnosis using deep learning RK Pathinarupothi, ES Rangan, EA Gopalakrishnan, R Vinaykumar, ... 2017 IEEE international conference on healthcare informatics (ICHI), 524-529, 2017 | 77 | 2017 |
| Recurrence networks to study dynamical transitions in a turbulent combustor V Godavarthi, VR Unni, EA Gopalakrishnan, RI Sujith Chaos: An Interdisciplinary Journal of Nonlinear Science 27 (6), 2017 | 76 | 2017 |
| Explainable deep learning-based approach for multilabel classification of electrocardiogram M Ganeshkumar, V Ravi, V Sowmya, EA Gopalakrishnan, KP Soman IEEE Transactions on Engineering Management 70 (8), 2787-2799, 2021 | 54 | 2021 |
| Effect of external noise on the hysteresis characteristics of a thermoacoustic system EA Gopalakrishnan, RI Sujith Journal of Fluid Mechanics 776, 334-353, 2015 | 54 | 2015 |
| Hybrid CFD/low-order modeling of nonlinear thermoacoustic oscillations S Jaensch, M Merk, EA Gopalakrishnan, S Bomberg, T Emmert, RI Sujith, ... Proceedings of the Combustion Institute 36 (3), 3827-3834, 2017 | 48 | 2017 |
| Influence of system parameters on the hysteresis characteristics of a horizontal Rijke tube EA Gopalakrishnan, RI Sujith International journal of spray and combustion dynamics 6 (3), 293-316, 2014 | 44 | 2014 |
| Stochastic bifurcations in a prototypical thermoacoustic system EA Gopalakrishnan, J Tony, E Sreelekha, RI Sujith Physical Review E 94 (2), 022203, 2016 | 35 | 2016 |
| Stock price prediction using dynamic mode decomposition DP Kuttichira, EA Gopalakrishnan, VK Menon, KP Soman 2017 International Conference on Advances in Computing, Communications and …, 2017 | 33 | 2017 |
| 2017 international conference on advances in computing, communications and informatics (icacci) S Selvin, R Vinayakumar, EA Gopalakrishnan, VK Menon, KP Soman IEEE, 2017 | 32 | 2017 |
| Modified Vgg deep learning architecture for Covid-19 classification using bio-medical images R Anand, V Sowmya, EA Gopalakrishnan, KP Soman IOP conference series: materials science and engineering 1084 (1), 012001, 2021 | 25 | 2021 |
| Deep learning based approach for multiple myeloma detection MT Vyshnav, V Sowmya, EA Gopalakrishnan, SV VV, VK Menon 2020 11th International Conference on Computing, Communication and …, 2020 | 25 | 2020 |
| Explainable artificial intelligence for heart rate variability in ECG signal K Sanjana, V Sowmya, EA Gopalakrishnan, KP Soman Healthcare Technology Letters 7 (6), 146, 2020 | 24 | 2020 |
| Epoch estimation from emotional speech signals using variational mode decomposition GJ Lal, EA Gopalakrishnan, D Govind Circuits, Systems, and Signal Processing 37, 3245-3274, 2018 | 24 | 2018 |
| Analysis of adversarial based augmentation for diabetic retinopathy disease grading R Balasubramanian, V Sowmya, EA Gopalakrishnan, VK Menon, ... 2020 11th International Conference on Computing, Communication and …, 2020 | 22 | 2020 |
| Transferable approach for cardiac disease classification using deep learning P Gopika, V Sowmya, EA Gopalakrishnan, KP Soman Deep learning techniques for biomedical and health informatics, 285-303, 2020 | 21 | 2020 |
