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Sunitha Basodi
Sunitha Basodi
TReNDS Center, Georgia State University, Georgia Institute of Technology and Emory University
Verified email at gsu.edu
Title
Cited by
Cited by
Year
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
1592020
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
1102020
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
952020
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
832020
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
802021
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
322019
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
262019
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
172020
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
162006
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
132020
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
132020
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
102023
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
102020
SWAN-SF
R Angryk, P Martens, B Aydin, D Kempton, S Mahajan, S Basodi, ...
Harvard Dataverse, 2020
92020
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
62022
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
62020
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
52022
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
42021
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
32019
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
22017
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