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E. Gopalakrishnan
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2020 – today
- 2022
- [j7]G. Jyothish Lal, E. A. Gopalakrishnan, D. Govind:
A Recurrence Network Approach for Characterization and Detection of Dynamical Transitions During Human Speech Production. Circuits Syst. Signal Process. 41(12): 6975-6998 (2022) - [j6]Hari Theivaprakasham
, S. Darshana
, Vinayakumar Ravi
, V. Sowmya
, E. A. Gopalakrishnan
, K. P. Soman
:
Odonata identification using Customized Convolutional Neural Networks. Expert Syst. Appl. 206: 117688 (2022) - [j5]Ganesh Kumar M, Vinayakumar Ravi
, V. Sowmya
, Gopalakrishnan E. A, Soman K. P, Chinmay Chakraborty
:
Identification of intracranial haemorrhage (ICH) using ResNet with data augmentation using CycleGAN and ICH segmentation using SegAN. Multim. Tools Appl. 81(25): 36257-36273 (2022) - [i2]Mredulraj S. Pandianchery, Gopalakrishnan E. A, Sowmya V, Vinayakumar Ravi, Soman K. P:
Explainable AI Framework for COVID-19 Prediction in Different Provinces of India. CoRR abs/2201.06997 (2022) - 2021
- [j4]Priyanga V. T, Sanjanasri J. P., Vijay Krishna Menon
, E. A. Gopalakrishnan, K. P. Soman:
Exploring fake news identification using word and sentence embeddings. J. Intell. Fuzzy Syst. 41(5): 5441-5448 (2021) - 2020
- [j3]G. Jyothish Lal
, E. A. Gopalakrishnan, D. Govind:
Glottal Activity Detection from the Speech Signal Using Multifractal Analysis. Circuits Syst. Signal Process. 39(4): 2118-2150 (2020) - [c8]Sanjana K., V. Sowmya
, E. A. Gopalakrishnan, K. P. Soman:
Performance Improvement of Deep Residual Skip Convolution Neural Network for Atrial Fibrillation Classification. FICTA (1) 2020: 755-763 - [c7]Ramji Balasubramanian, V. Sowmya
, E. A. Gopalakrishnan, Vijay Krishna Menon
, V. V. Sajith Variyar, K. P. Soman:
Analysis of Adversarial based Augmentation for Diabetic Retinopathy Disease Grading. ICCCNT 2020: 1-5 - [c6]M. T. Vyshnav, V. Sowmya
, E. A. Gopalakrishnan, V. V. Sajith Variyar, Vijay Krishna Menon
, K. P. Soman:
Deep Learning Based Approach for Multiple Myeloma Detection. ICCCNT 2020: 1-7 - [i1]Ganesh Kumar M, Soman K. P, Gopalakrishnan E. A, Vijay Krishna Menon, V. Sowmya:
Prediction of number of cases expected and estimation of the final size of coronavirus epidemic in India using the logistic model and genetic algorithm. CoRR abs/2003.12017 (2020)
2010 – 2019
- 2018
- [j2]G. Jyothish Lal
, E. A. Gopalakrishnan
, D. Govind
:
Accurate Estimation of Glottal Closure Instants and Glottal Opening Instants from Electroglottographic Signal Using Variational Mode Decomposition. Circuits Syst. Signal Process. 37(2): 810-830 (2018) - [j1]G. Jyothish Lal
, E. A. Gopalakrishnan, D. Govind:
Epoch Estimation from Emotional Speech Signals Using Variational Mode Decomposition. Circuits Syst. Signal Process. 37(8): 3245-3274 (2018) - 2017
- [c5]Rahul Krishnan Pathinarupothi
, Vinaykumar R.
, Ekanath Rangan, E. Gopalakrishnan
, K. P. Soman
:
Instantaneous heart rate as a robust feature for sleep apnea severity detection using deep learning. BHI 2017: 293-296 - [c4]Deepthi Praveenlal Kuttichira, E. A. Gopalakrishnan, Vijay Krishna Menon
, K. P. Soman:
Stock price prediction using dynamic mode decomposition. ICACCI 2017: 55-60 - [c3]Sreelekshmy Selvin, R. Vinayakumar
, E. A. Gopalakrishnan, Vijay Krishna Menon
, K. P. Soman:
Stock price prediction using LSTM, RNN and CNN-sliding window model. ICACCI 2017: 1643-1647 - [c2]Rohit Mohan, E. A. Gopalakrishnan, K. P. Soman:
Classification of states of bi-stable oscillator using deep learning. ICACCI 2017: 1792-1796 - [c1]Rahul Krishnan Pathinarupothi
, Dhara Prathap J, Ekanath Srihari Rangan, E. Gopalakrishnan
, Vinaykumar R.
, Soman K. P
:
Single Sensor Techniques for Sleep Apnea Diagnosis Using Deep Learning. ICHI 2017: 524-529
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