Sunitha Basodi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Genetic Algorithm

Ensemble Classification

Top Venues

Neuroinformatics

Big Data Min. Anal.

iThings/GreenCom/CPSCom/SmartData

Publications

Sunitha Basodi, Rajikha Raja, Harshvardhan Gazula, Javier Tomas Romero, Sandeep R. Panta, Thomas Maullin-Sapey, Thomas E. Nichols, Vince D. Calhoun
Decentralized Mixed Effects Modeling in COINSTAC. Neuroinformatics 22 (2) (2024)
Dylan Martin, Sunitha Basodi, Sandeep R. Panta, Kelly Rootes-Murdy, Paul Prae, Anand D. Sarwate, Ross Kelly, Javier Romero, Bradley T. Baker, Harshvardhan Gazula, Henry Jeremy Bockholt, Jessica A. Turner, Nathalia Bianchini Esper, Alexandre R. Franco, Sergey M. Plis, Vince D. Calhoun
Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility. Frontiers Neuroinformatics 17 (2023)
Sunitha Basodi, Rajikha Raja, Harshvardhan Gazula, Javier Romero, Sandeep R. Panta, Vince D. Calhoun
Federated Linear Mixed Effects Modeling for Voxel-Based Morphometry. ISBI (2023)
Harshvardhan Gazula, Kelly Rootes-Murdy, Bharath Holla, Sunitha Basodi, Zuo Zhang, Eric Verner, Ross Kelly, Pratima Murthy, Amit Chakrabarti, Debasish Basu, Subodh Bhagyalakshmi Nanjayya, Rajkumar Lenin Singh, Roshan Lourembam Singh, Kartik Kalyanram, Kamakshi Kartik, Kalyanaraman Kumaran, Krishnaveni Ghattu, Rebecca Kuriyan, Sunita Simon Kurpad, Gareth J. Barker, Rose Dawn Bharath, Sylvane Desrivieres, Meera Purushottam, Dimitri Papadopoulos-Orfanos, Eesha Sharma, Matthew Hickman, Mireille Toledano, Nilakshi Vaidya, Tobias Banaschewski, Arun L. W. Bokde, Herta Flor, Antoine Grigis, Hugh Garavan, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère-Martinot, Eric Artiges, Frauke Nees, Tomás Paus, Luise Poustka, Juliane H. Fröhner, Lauren Robinson, Michael N. Smolka, Henrik Walter, Jeanne Winterer, Robert Whelan, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vivek Benegal, Gunter Schumann, Vince D. Calhoun
Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains. Neuroinformatics 21 (2) (2023)
Sunitha Basodi, Krishna Pusuluri, Xueli Xiao, Yi Pan
Intelligent gradient amplification for deep neural networks. CoRR (2023)
Sunitha Basodi, Rajikha Raja, Bhaskar Ray, Harshvardhan Gazula, Anand D. Sarwate, Sergey M. Plis, Jingyu Liu, Eric Verner, Vince D. Calhoun
Decentralized Brain Age Estimation Using MRI Data. Neuroinformatics 20 (4) (2022)
Jessica A. Turner, Vince D. Calhoun, Paul M. Thompson, Neda Jahanshad, Christopher R. K. Ching, Sophia I. Thomopoulos, Eric Verner, Gregory P. Strauss, Anthony O. Ahmed, Matthew D. Turner, Sunitha Basodi, Judith M. Ford, Daniel H. Mathalon, Adrian Preda, Aysenil Belger, Bryon A. Mueller, Kelvin O. Lim, Theo G. M. van Erp
ENIGMA + COINSTAC: Improving Findability, Accessibility, Interoperability, and Re-usability. Neuroinformatics 20 (1) (2022)
Zhao Tong, Feng Ye, Ming Yan, Hong Liu, Sunitha Basodi
A survey on algorithms for intelligent computing and smart city applications. Big Data Min. Anal. 4 (3) (2021)
Sunitha Basodi, Rajikha Raja, Bhaskar Ray, Harshvardhan Gazula, Jingyu Liu, Eric Verner, Vince D. Calhoun
Federation of Brain Age Estimation in Structural Neuroimaging Data. EMBC (2021)
Sunitha Basodi, Chunyan Ji, Haiping Zhang, Yi Pan
Gradient amplification: An efficient way to train deep neural networks. Big Data Min. Anal. 3 (3) (2020)
Krishna Pusuluri, Sunitha Basodi, Andrey Shilnikov
Computational exposition of multistable rhythms in 4-cell neural circuits. Commun. Nonlinear Sci. Numer. Simul. 83 (2020)
Sunitha Basodi, Song Tan, WenZhan Song, Yi Pan
Data integrity attack detection in smart grid: a deep learning approach. Int. J. Secur. Networks 15 (1) (2020)
Chunyan Ji, Sunitha Basodi, Xueli Xiao, Yi Pan
Infant Sound Classification on Multi-stage CNNs with Hybrid Features and Prior Knowledge. AIMS (2020)
Sunitha Basodi, Chunyan Ji, Haiping Zhang, Yi Pan
Gradient Amplification: An efficient way to train deep neural networks. CoRR (2020)
Xueli Xiao, Ming Yan, Sunitha Basodi, Chunyan Ji, Yi Pan
Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm. CoRR (2020)
Zhao Tong, Xiaomei Deng, Feng Ye, Sunitha Basodi, Xueli Xiao, Yi Pan
Adaptive computation offloading and resource allocation strategy in a mobile edge computing environment. Inf. Sci. 537 (2020)
Lillian Le, Abu Nadim M. H. Kabir, Chunyan Ji, Sunitha Basodi, Yi Pan
Using Transfer Learning, SVM, and Ensemble Classification to Classify Baby Cries Based on Their Spectrogram Images. MASS Workshops (2019)
Chunyan Ji, Xueli Xiao, Sunitha Basodi, Yi Pan
Deep Learning for Asphyxiated Infant Cry Classification Based on Acoustic Features and Weighted Prosodic Features. iThings/GreenCom/CPSCom/SmartData (2019)
Ming Yan, Ling Liu, Sunitha Basodi, Yi Pan
Multi-view learning for benign epilepsy with centrotemporal spikes. IET Comput. Vis. 13 (2) (2019)
Sunitha Basodi, Pelin Burcak Icer, Pavel Skums, Yury Khudyakov, Alexander Zelikovsky, Yi Pan
Classification of HCV infections through sequence image normalization. ICCABS (2017)
Sunitha Basodi, Berkay Aydin, Rafal A. Angryk
Parallel computation of magnetic field parameters from HMI active region patches. IEEE BigData (2017)