Sunitha Basodi
Sunitha Basodi
TReNDS Center, Georgia State University, Georgia Institute of Technology and Emory University
Geverifieerd e-mailadres voor gsu.edu
Geciteerd door
Geciteerd door
Gradient amplification: An efficient way to train deep neural networks
S Basodi, C Ji, H Zhang, Y Pan
Big Data Mining and Analytics 3 (3), 196-207, 2020
Efficient hyperparameter optimization in deep learning using a variable length genetic algorithm
X Xiao, M Yan, S Basodi, C Ji, Y Pan
arXiv preprint arXiv:2006.12703, 2020
Multivariate time series dataset for space weather data analytics
RA Angryk, PC Martens, B Aydin, D Kempton, SS Mahajan, S Basodi, ...
Scientific data 7 (1), 227, 2020
Adaptive computation offloading and resource allocation strategy in a mobile edge computing environment
Z Tong, X Deng, F Ye, S Basodi, X Xiao, Y Pan
Information Sciences 537, 116-131, 2020
A survey on algorithms for intelligent computing and smart city applications
Z Tong, F Ye, M Yan, H Liu, S Basodi
Big Data Mining and Analytics 4 (3), 155-172, 2021
Deep learning for asphyxiated infant cry classification based on acoustic features and weighted prosodic features
C Ji, X Xiao, S Basodi, Y Pan
2019 International conference on Internet of Things (iThings) and IEEE green …, 2019
Using transfer learning, SVM, and ensemble classification to classify baby cries based on their spectrogram images
L Le, ANMH Kabir, C Ji, S Basodi, Y Pan
2019 IEEE 16th International Conference on Mobile Ad Hoc and Sensor Systems …, 2019
Infant sound classification on multi-stage cnns with hybrid features and prior knowledge
C Ji, S Basodi, X Xiao, Y Pan
International Conference on AI and Mobile Services, 3-16, 2020
Efficient hyperparameter optimization in deep learning using a variable length genetic algorithm. arXiv 2020
X Xiao, M Yan, S Basodi, C Ji, Y Pan
arXiv preprint arXiv:2006.12703, 2006
Computational exposition of multistable rhythms in 4-cell neural circuits
K Pusuluri, S Basodi, A Shilnikov
Communications in Nonlinear Science and Numerical Simulation 83, 105139, 2020
Data integrity attack detection in smart grid: a deep learning approach
S Basodi, S Tan, WZ Song, Y Pan
International journal of security and networks 15 (1), 15-24, 2020
Federated analysis in COINSTAC reveals functional network connectivity and spectral links to smoking and alcohol consumption in nearly 2,000 adolescent brains
H Gazula, K Rootes-Murdy, B Holla, S Basodi, Z Zhang, E Verner, R Kelly, ...
Neuroinformatics 21 (2), 287-301, 2023
Dynamics and bifurcations in multistable 3-cell neural networks
J Collens, K Pusuluri, A Kelley, D Knapper, T Xing, S Basodi, D Alacam, ...
Chaos: An Interdisciplinary Journal of Nonlinear Science 30 (7), 2020
R Angryk, P Martens, B Aydin, D Kempton, S Mahajan, S Basodi, ...
Harvard Dataverse, 2020
Decentralized brain age estimation using mri data
S Basodi, R Raja, B Ray, H Gazula, AD Sarwate, S Plis, J Liu, E Verner, ...
Neuroinformatics 20 (4), 981-990, 2022
Analysis of heterogeneous genomic samples using image normalization and machine learning
S Basodi, PI Baykal, A Zelikovsky, P Skums, Y Pan
BMC genomics 21, 1-10, 2020
ENIGMA+ COINSTAC: improving findability, accessibility, interoperability, and re-usability
JA Turner, VD Calhoun, PM Thompson, N Jahanshad, CRK Ching, ...
Neuroinformatics 20 (1), 261-275, 2022
Federation of brain age estimation in structural neuroimaging data
S Basodi, R Raja, B Ray, H Gazula, J Liu, E Verner, VD Calhoun
2021 43rd Annual International Conference of the IEEE Engineering in …, 2021
Multi‐view learning for benign epilepsy with centrotemporal spikes
M Yan, L Liu, S Basodi, Y Pan
IET Computer Vision 13 (2), 109-116, 2019
Parallel computation of magnetic field parameters from HMI active region patches
S Basodi, B Aydin, RA Angryk
2017 IEEE International Conference on Big Data (Big Data), 2527-2532, 2017
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