Sunitha Basodi

Orcid: 0000-0003-3453-3668

According to our database1, Sunitha Basodi authored at least 20 papers between 2017 and 2024.

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Bibliography

2024
Decentralized Mixed Effects Modeling in COINSTAC.
Neuroinformatics, April, 2024

2023
Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains.
Neuroinformatics, April, 2023

Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility.
Frontiers Neuroinformatics, March, 2023

Intelligent gradient amplification for deep neural networks.
CoRR, 2023

Federated Linear Mixed Effects Modeling for Voxel-Based Morphometry.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
ENIGMA + COINSTAC: Improving Findability, Accessibility, Interoperability, and Re-usability.
Neuroinformatics, 2022

Decentralized Brain Age Estimation Using MRI Data.
Neuroinformatics, 2022

2021
A survey on algorithms for intelligent computing and smart city applications.
Big Data Min. Anal., 2021

Federation of Brain Age Estimation in Structural Neuroimaging Data.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Adaptive computation offloading and resource allocation strategy in a mobile edge computing environment.
Inf. Sci., 2020

Data integrity attack detection in smart grid: a deep learning approach.
Int. J. Secur. Networks, 2020

Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm.
CoRR, 2020

Computational exposition of multistable rhythms in 4-cell neural circuits.
Commun. Nonlinear Sci. Numer. Simul., 2020

Gradient amplification: An efficient way to train deep neural networks.
Big Data Min. Anal., 2020

Infant Sound Classification on Multi-stage CNNs with Hybrid Features and Prior Knowledge.
Proceedings of the Artificial Intelligence and Mobile Services - AIMS 2020, 2020

2019
Multi-view learning for benign epilepsy with centrotemporal spikes.
IET Comput. Vis., 2019

Using Transfer Learning, SVM, and Ensemble Classification to Classify Baby Cries Based on Their Spectrogram Images.
Proceedings of the 16th IEEE International Conference on Mobile Ad Hoc and Sensor Systems Workshops, 2019

Deep Learning for Asphyxiated Infant Cry Classification Based on Acoustic Features and Weighted Prosodic Features.
Proceedings of the 2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2019

2017
Classification of HCV infections through sequence image normalization.
Proceedings of the 7th IEEE International Conference on Computational Advances in Bio and Medical Sciences, 2017

Parallel computation of magnetic field parameters from HMI active region patches.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017


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