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E. Gopalakrishnan
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2020 – today
- 2024
- [j16]S. Akshay, E. A. Gopalakrishnan, Sowmya Vishvanathan, J. Venkatramani, Dheeraj Tripathi, Jay Shankar Prasad, Sirshendu Mondal:
Open Set Domain Adaptation for Classification of Dynamical States in Nonlinear Fluid Dynamical Systems. IEEE Access 12: 699-726 (2024) - [j15]K. Deepa Raj, G. Jyothish Lal, E. A. Gopalakrishnan, V. Sowmya, Juan Rafael Orozco-Arroyave:
A Visibility Graph Approach for Multi-Stage Classification of Parkinson's Disease Using Multimodal Data. IEEE Access 12: 87077-87096 (2024) - [j14]Iswarya Kannoth Veetil, Divi Eswar Chowdary, Paleti Nikhil Chowdary, V. Sowmya, E. A. Gopalakrishnan:
An analysis of data leakage and generalizability in MRI based classification of Parkinson's Disease using explainable 2D Convolutional Neural Networks. Digit. Signal Process. 147: 104407 (2024) - [j13]Iswarya Kannoth Veetil, V. Sowmya, Juan Rafael Orozco-Arroyave, E. A. Gopalakrishnan:
Robust language independent voice data driven Parkinson's disease detection. Eng. Appl. Artif. Intell. 129: 107494 (2024) - [j12]Srividhya L, V. Sowmya, Vinaykumar Ravi, Gopalakrishnan E. A, Soman K. P:
Deep learning-based approach for multi-stage diagnosis of Alzheimer's disease. Multim. Tools Appl. 83(6): 16799-16822 (2024) - [j11]Mredulraj S. Pandianchery, V. Sowmya, E. A. Gopalakrishnan, Vinayakumar Ravi, K. P. Soman:
Centralized CNN-GRU Model by Federated Learning for COVID-19 Prediction in India. IEEE Trans. Comput. Soc. Syst. 11(1): 1362-1371 (2024) - 2023
- [j10]J. Arun Prakash, CR Asswin, K. S. Dharshan Kumar, Avinash Dora, Vinayakumar Ravi, V. Sowmya, E. A. Gopalakrishnan, Soman K. P.:
Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures. Eng. Appl. Artif. Intell. 123(Part B): 106416 (2023) - [j9]Ganeshkumar M., Vinayakumar Ravi, V. Sowmya, E. A. Gopalakrishnan, K. P. Soman, M. Rupeshkumar:
Two-stage deep learning model for automate detection and classification of lung diseases. Soft Comput. 27(21): 15563-15579 (2023) - [j8]Ganeshkumar M., Vinayakumar Ravi, V. Sowmya, Gopalakrishnan E. A, Soman K. P:
Explainable Deep Learning-Based Approach for Multilabel Classification of Electrocardiogram. IEEE Trans. Engineering Management 70(8): 2787-2799 (2023) - [i3]Paleti Nikhil Chowdary, Sathvika P, Pranav U, Rohan S, V. Sowmya, E. A. Gopalakrishnan, Dhanya M:
Unleashing the Power of Dynamic Mode Decomposition and Deep Learning for Rainfall Prediction in North-East India. CoRR abs/2309.09336 (2023) - 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, V. Sowmya, 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) - [c9]Yamini Madan, Iswarya Kannoth Veetil, Sowmya Vishvanathan, Gopalakrishnan E. A, Soman K. P:
Synthetic Data Augmentation of MRI using Generative Variational Autoencoder for Parkinson's Disease Detection. FICTA (2) 2021: 171-178 - 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
Coauthor Index
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last updated on 2024-10-07 22:19 CEST by the dblp team
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