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2020 – today
- 2024
[j11]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): 163-175 (2024)- 2023
- [j10]Dylan Martin, Sunitha Basodi, Sandeep R. Panta, Kelly Rootes-Murdy, Paul Prae, Anand D. Sarwate, Ross Kelly, Javier Tomas 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) - [j9]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 Desrivières, 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 A. 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): 287-301 (2023) - [c7]Sunitha Basodi, Rajikha Raja, Harshvardhan Gazula, Javier Tomas Romero, Sandeep R. Panta, Vince D. Calhoun:
Federated Linear Mixed Effects Modeling for Voxel-Based Morphometry. ISBI 2023: 1-4 - [i3]Sunitha Basodi, Krishna Pusuluri, Xueli Xiao, Yi Pan:
Intelligent gradient amplification for deep neural networks. CoRR abs/2305.18445 (2023) - 2022
- [j8]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): 261-275 (2022) - [j7]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): 981-990 (2022) - 2021
- [j6]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): 155-172 (2021) - [c6]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: 3854-3857 - 2020
- [j5]Sunitha Basodi, Chunyan Ji, Haiping Zhang, Yi Pan:
Gradient amplification: An efficient way to train deep neural networks. Big Data Min. Anal. 3(3): 196-207 (2020) - [j4]Krishna Pusuluri, Sunitha Basodi, Andrey Shilnikov:
Computational exposition of multistable rhythms in 4-cell neural circuits. Commun. Nonlinear Sci. Numer. Simul. 83: 105139 (2020) - [j3]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): 15-24 (2020) - [j2]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: 116-131 (2020) - [c5]Chunyan Ji, Sunitha Basodi, Xueli Xiao, Yi Pan:
Infant Sound Classification on Multi-stage CNNs with Hybrid Features and Prior Knowledge. AIMS 2020: 3-16 - [i2]Sunitha Basodi, Chunyan Ji, Haiping Zhang, Yi Pan:
Gradient Amplification: An efficient way to train deep neural networks. CoRR abs/2006.10560 (2020) - [i1]Xueli Xiao, Ming Yan, Sunitha Basodi, Chunyan Ji, Yi Pan:
Efficient Hyperparameter Optimization in Deep Learning Using a Variable Length Genetic Algorithm. CoRR abs/2006.12703 (2020)
2010 – 2019
- 2019
- [j1]Ming Yan, Ling Liu, Sunitha Basodi, Yi Pan:
Multi-view learning for benign epilepsy with centrotemporal spikes. IET Comput. Vis. 13(2): 109-116 (2019) - [c4]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: 1233-1240 - [c3]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: 106-110 - 2017
- [c2]Sunitha Basodi, Berkay Aydin, Rafal A. Angryk:
Parallel computation of magnetic field parameters from HMI active region patches. IEEE BigData 2017: 2527-2532 - [c1]Sunitha Basodi, Pelin Burcak Icer, Pavel Skums, Yury Khudyakov, Alexander Zelikovsky, Yi Pan:
Classification of HCV infections through sequence image normalization. ICCABS 2017: 1
Coauthor Index
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last updated on 2024-10-07 21:21 CEST by the dblp team
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